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. 2022 Dec 1;24(2):e13520. doi: 10.1111/obr.13520

Obesity in South and Southeast Asia—A new consensus on care and management

Kwang Wei Tham 1, Rohana Abdul Ghani 2, Sioksoan C Cua 3,4, Chaicharn Deerochanawong 5, Mia Fojas 6, Samantha Hocking 7,8,9, June Lee 10, Tran Quang Nam 11, Faruque Pathan 12, Banshi Saboo 13, Sidartawan Soegondo 14,15, Noel Somasundaram 16, Alice M L Yong 17, John Ashkenas 18, Nicola Webster 18, Brian Oldfield 19,
PMCID: PMC10078503  PMID: 36453081

Summary

Obesity is a chronic disease in which the abnormal or excessive accumulation of body fat leads to impaired health and increased risk of mortality and chronic health complications. Prevalence of obesity is rising rapidly in South and Southeast Asia, with potentially serious consequences for local economies, healthcare systems, and quality of life. Our group of obesity specialists from Bangladesh, Brunei Darussalam, India, Indonesia, Malaysia, Philippines, Singapore, Sri Lanka, Thailand, and Viet Nam undertook to develop consensus recommendations for management and care of adults and children with obesity in South and Southeast Asia. To this end, we identified and researched 12 clinical questions related to obesity. These questions address the optimal approaches for identifying and staging obesity, treatment (lifestyle, behavioral, pharmacologic, and surgical options) and maintenance of reduced weight, as well as issues related to weight stigma and patient engagement in the clinical setting. We achieved consensus on 42 clinical recommendations that address these questions. An algorithm describing obesity care is presented, keyed to the various consensus recommendations.

Keywords: childhood obesity in Southeast Asia, consensus on obesity in Southeast Asia, obesity management in Southeast Asia, weight stigma in Southeast Asia


Abbreviations

AACE/ACE

American Association of Clinical Endocrinologists/American College of Endocrinology

ASEAN

Association of Southeast Asian Nations

BMI

body mass index

CV(D)

cardiovascular (disease)

EOSS

Edmonton Obesity Staging System

EOSS‐P

Edmonton Obesity Staging System for Pediatrics

EWL

excess weight loss

GI

gastrointestinal

HTN

hypertension

KOSC

King's Obesity Staging Criteria

OAGB

one‐anastomosis gastric bypass

QoL

quality of life

RYGB

Roux‐en‐Y gastric bypass

SD

standard deviation

SG

sleeve gastrectomy

T2DM

type 2 diabetes mellitus

VLCD

very low‐calorie diet

WC

waist circumference

WHO

World Health Organization

WOF

World Obesity Federation

1. INTRODUCTION

Obesity represents an ongoing global health crisis, with prevalence continuing to rise rapidly, especially in low‐ and middle‐income countries. 1 , 2 A recent projection from the World Obesity Federation (WOF) predicts that by 2030, approximately one billion people will be living with obesity worldwide, including one in five women and one in seven men. 3

In South and Southeast Asia, prevalence of obesity is predicted to double between 2010 and 2030. By that same year, childhood obesity, which is rising steeply in parallel with adult rates across the region, may affect 45 million South and Southeast Asian children over 5 years of age. 3 National prevalence data likely underestimate the scale of the problem, because adults 4 , 5 and children 6 of Asian descent experience obesity‐related pathophysiologic changes at lower body mass index (BMI) values, relative to other populations. Adjusting for this effect, by changing the BMI cut points that define obesity, yields a higher prevalence estimate—and probably a more realistic appraisal of the health risks associated with obesity in the various countries. 7 Thus, the WOF estimated that 5.5% of adults in India met BMI criteria that define obesity in Caucasian populations (see Table A1), 8 but by applying a lower BMI cut point, a recent nationwide cross‐sectional study from the same country put the prevalence of obesity at 40.3% of adults. 9

The burden on economies and healthcare systems associated with the rise in obesity is difficult to overstate. In addition to direct costs of treatment for obesity and associated diseases, 10 it has been estimated that these conditions reduce men's and women's productive time in the work force by 4–9 years across the countries within the Association of Southeast Asian Nations (ASEAN). 11 Countries lacking adequate health resources, policies and programs to manage the growing epidemic will likely be hardest hit by the rise in chronic diseases (e.g., cardiovascular disease [CVD], type 2 diabetes mellitus [T2DM], and certain cancers). 12 In addition, experience with the coronavirus disease 2019 during the current pandemic reminds us that comorbid obesity increases mortality and complications associated with infectious disease. 13

In recent decades, South and Southeast Asia have experienced a period of rapid nutrition and lifestyle transition, leading to a commensurate rise in the burden of obesity and T2DM. 14 , 15 , 16 Even now, obesity is observed alongside food scarcity, resulting in a double burden of overnutrition and undernutrition in some countries in the region. 17 , 18 , 19 This double burden occurs at the societal level, but also sometimes at an individual level, such as when children with stunted growth due to micronutrient or macronutrient deficiency are later exposed to high energy‐density food and develop obesity.

With these concerning trends in mind, our group of South and Southeast Asian obesity specialists undertook to develop a series of practical recommendations on the management and care of obesity. Despite the size of this region and the diverse histories of the 10 countries represented in this consensus (Bangladesh, Brunei Darussalam, India, Indonesia, Malaysia, Philippines, Singapore, Sri Lanka, Thailand, and Viet Nam), there are sufficient cultural and social demographic similarities across South and Southeast Asia to justify this shared effort.

The recommendations presented here are broadly consistent with international obesity guidelines, as well as with previously published guidance from some of the countries represented here. They are intended to be used by clinicians across the region, to improve the quality of care for all South and Southeast Asians living with obesity.

Beyond the medical goals of improved diagnosis and management of obesity, we recognize that bodyweight is intensely personal for many individuals. The psychological and social aspects of overweight and obesity must be recognized, both within and outside a clinical interaction. To establish a constructive relationship with their patients with obesity, clinicians need to use respectful, appropriate language. In addition, clinicians must work to understand the burden that many such people experience because of weight stigma and stereotyped attitudes. Finally, clinicians are well positioned to advocate for public health policies that promote healthy habits and help prevent obesity through exercise, antenatal, infant, and child nutrition programs, and education.

2. METHODS

Our panel of physicians from South and Southeast Asia with expertise in managing pediatric and adult obesity undertook to develop recommendations for clinical approach to and management of obesity in this region. Panel members invited by the Asia‐Oceania Association for the Study of Obesity (AOASO) included endocrinologists, a pediatric endocrinologist, and a bariatric surgeon. In addition to the physicians from the 10 South and Southeast Asian countries to which this consensus document is directed, two members from Australia (BO and SH) participated in all discussions, voted on treatment recommendations, and commented on the manuscript.

Our process for generating consensus was formalized by the panel during a webinar held at the outset of the project. At this webinar, held in September 2021, the panel determined that ≥80% agreement would be required for acceptance of a treatment recommendation, and that any minority opinions concerning these recommendations would be noted in the final document. At the same meeting, clinical questions related to practical aspects of obesity diagnosis and management, which had been drafted by the co‐Chairs (BO and KWT), were shared with the full panel as a basis for developing recommendations. The wording of 12 clinical questions was ratified unanimously by the full panel.

Following the meeting, the approved questions were used to guide searches of relevant literature published in English using the PubMed electronic database, including currently available data from the region, national and international obesity guidelines, and reports from other relevant expert working groups. A research document containing the relevant findings was presented to the full panel and was revised according to the group's input. The revised document was shared with the panel in advance of a consensus webinar, held in February 2022.

Based upon the findings from the literature review and feedback from the panel, the co‐Chairs proposed draft treatment recommendations, which were shared with the panel for pre‐voting prior to the final consensus webinar, using a web‐based survey tool (SurveyMonkey; https://www.surveymonkey.co.uk). Panelists at the consensus webinar then had the opportunity to propose additional recommendations and to modify the wording of the draft recommendations, before taking a final vote on each of the 42 treatment recommendations shown below. A final draft of the complete manuscript was provided to, and endorsed by, the Council of AOASO.

Findings related to the 12 clinical questions are presented below.

3. RESULTS

3.1. Question 1: How is obesity defined and what are the diagnostic criteria in adults and children?

Obesity represents an abnormal or excessive accumulation of body fat, which leads to impaired health and increased risk of long‐term health complications and mortality. 12 Underlying causes are complex, involving dysregulated energy homeostasis and a combination of genetic, metabolic, behavioral, environmental, and cultural factors that predispose to overweight and obesity. 20

Recognizing these genetic and pathophysiologic underpinnings, our group of South and Southeast Asian obesity specialists identify obesity as a chronic disease, in agreement with many other authorities and medical associations. 20 , 21 , 22 , 23 In choosing this wording, we aim to shift a variety of erroneous beliefs, for example, that obesity results from poor lifestyle choices or inadequate willpower, and that it should be regarded merely as a risk factor for other conditions. Rather, obesity is in itself a complex, progressive and relapsing disease requiring effective prevention and treatment. Effective management occurs at a multisystem level, with root causes and prevention of complications in mind. By recognizing obesity as a disease, we hope to combat the stigma and discrimination associated with weight, promote adoption of a chronic disease management approach, and encourage people who live with obesity to seek appropriate and effective care.

3.1.1. BMI

Epidemiological data demonstrate that high BMI is associated with increased risk of mortality, cardiometabolic disease, and certain cancers. 12 , 24 BMI provides the standard measure of adiposity and is widely used to identify people with overweight or obesity. 5 , 12

BMI cut points are used as a practical definition of a person's adiposity. In a clinical context, individuals who meet BMI criteria for overweight or obesity are at heightened risk of health complications such as cardiometabolic disease, cancer, osteoarthritis, sleep apnea, and depression. These individuals thus require further assessment, including a full physical examination and patient history and hemodynamic and biochemical evaluation (see Question 2, below).

Based on data from largely Caucasian populations, international definitions have been established for overweight (BMI 25–29.9 kg/m2) and obesity (BMI ≥ 30 kg/m2) in adults. 12 However, it is also well established that the relationship between BMI and body fat storage and distribution varies across different ethnicities. Thus, for the same body fat percentage, Asians typically have BMIs that are 2–3 kg/m2 lower than Caucasians'. 25 , 26 , 27 , 28 Asian populations, in particular South Asians, have higher levels of body fat at a given BMI, especially in visceral adipose tissue. 4 , 29 Insulin resistance, observed at the cellular and physiological levels, is evident even in lean South Asian individuals, contrasting with other Asian ethnicities (e.g., Malay and Chinese) and Caucasians. 30 , 31 Inter‐ethnic differences related to the metabolic effects of excess adiposity can be attributed in part to genetic variation that may have been selected for earlier in the history of Asia and Oceania. 32

Cardiometabolic disease risk in Asian populations is correspondingly elevated, even at BMI values that would be considered low or moderate risk in Caucasian people. 7 , 33 , 34 , 35 For T2DM, age‐ and sex‐adjusted risk associated with a BMI of 30 kg/m2 in Caucasian populations occurs at 23.9 kg/m2 (95% confidence interval [CI] 23.6, 24.0) and 26.9 kg/m2 (95% CI 26.7, 27.2) in South Asian and Chinese populations, respectively. 7 Similarly, the prevalence of combined dysglycemia and dyslipidemia in urban South Asians is elevated by fivefold to ninefold relative to Americans of various ethnicities. This difference in cardiovascular (CV) risk profile is seen for both men and women across weight categories and is most extreme in the normal weight range (BMI ranging from 18.5 to 24.9 kg/m2). 36

Risk may also vary among different Asian countries 37 and for different ethnic groups, even those living in similar environments within the same country. 38 Thus, in Asian populations, lower BMI cut points should be used for overweight and obesity, to improve the identification of people at risk of cardiometabolic disease. Various cut points for South and Southeast Asian countries have been proposed by pan‐Asian, as well as national expert groups. 5 , 21 , 39 , 40 , 41 , 42 , 43 Some, including the Asian‐Pacific guidance, 29 identify different degrees of obesity with differing levels of risk. As shown in Table 1, most apply threshold values of BMI ≥ 23 kg/m2 for overweight and BMI ≥ 25 or ≥27.5 kg/m2 for obesity.

TABLE 1.

Anthropometric cut points used to identify obesity or overweight 5 , 12 , 29 , 43 , 44 , 45 , 132 , 264 , 265 , 266 , 267 , 268 , 269

Overweight BMI (kg/m2) Obese BMI (kg/m2) Excess risk WC (cm)
International guidance
WHO international guidelines 25.0

30.0 (class I)

35.0 (class II)

≥40.0 (class III)

80 (F)/94 (M) Increased risk

88 (F)/102 (M) Higher risk

The Asia‐Pacific Perspective: Redefining Obesity and its Treatment 23.0

25.0 (class I)

≥30.0 (class II)

80 (F)/90 (M)
WHO expert consultation 23.0 Increased risk (action point) a 27.5 High risk (action point) a
IDF consensus 80 (F)/90 (M)
National cut points for action
Bangladesh 23.0 25.0 80 (F)/90 (M)
Brunei Darussalam 25.0 30.0 80 (F)/90 (M)
India 23.0 25.0 80 (F)/90 (M)
Indonesia 23.0 25.0 80 (F)/90 (M)
Malaysia 23.0 27.5 80 (F)/90 (M)
Philippines 23.0 25.0 80 (F)/90 (M)
Singapore b 23.0 27.5 80 (F)/90 (M)
Sri Lanka 23.0 25.0 80 (F)/90 (M)
Thailand 23.0 25.0 80 (F)/90 (M)
Viet Nam 23.0 25.0 80 (F)/90 (M)

Abbreviations: BMI, body mass index; F, female; IDF, International Diabetes Federation; M, male; WC, waist circumference; WHO, World Health Organization.

a

The WHO consultation agreed that the WHO BMI cut points should remain as international classifications but identified additional trigger points for taking public health action on risks associated with overweight and obesity: 23 kg/m2 or higher representing increased risk, and 27.5 kg/m2 representing high risk (less than 18.5 kg/m2, underweight; 18.5–23 kg/m2, increasing but acceptable risk; 23–27.5 kg/m2, increased risk; and 27.5 kg/m2 or higher, high risk).

b

In Singapore, the official BMI cut points used to define overweight and obesity are 25.0 and 30.0, respectively. These differ from the cut points shown, which are used for clinical decision making.

3.1.2. Waist circumference (WC) and waist–hip ratio

Owing to known limitations of BMI in Asian populations, other anthropometric parameters can be used to evaluate adiposity and risk of complications in adults. These include waist–hip ratio, 44 , 45 or more commonly, WC. 12 Among the several recognized techniques for determining WC, the method preferred by the WHO is to measure circumference at the midpoint between the superior iliac crest and the lower margin of the last rib, in a horizontal plane. 46 WC provides an estimate of abdominal or visceral fat, which is strongly associated with cardiometabolic disease and premature death. 47 , 48 , 49 , 50 Because it may be better at predicting mortality and morbidity than BMI, 51 WC measurement is particularly valuable for risk assessment in individuals with obesity‐related complications, whether or not their BMI is elevated.

As with BMI, cardiometabolic risk associated with elevated WC measurement varies among ethnicities. 4 , 29 For example, South and East Asians tend to experience dyslipidemia and T2DM at lower WC values than those typical among Caucasians. 4 , 35 Presumably, this difference reflects, at least in part, the elevated percent body fat and visceral adipose tissue seen even at lower WC values in Asian populations. 4 , 52

As shown in Table 1, WC threshold values associated with elevated cardiometabolic risk are generally cited as ≥90 cm and ≥80 cm for Asian men and women, respectively. Adults meeting these WC values should be considered at risk, and further assessment is warranted. 53 Different cut points are used in certain East Asian populations. For example, in Japan, cut points of ≥85 cm and ≥90 cm are used for men and women, respectively; in China ≥85 cm and ≥80 cm are used for men and women, respectively. 53

Other proposed WC cut points might be applied to identify people at risk of T2DM or other specific complications, or for use in specific Asian ethnicities. For example, to identify individuals at risk of metabolic syndrome in Indonesia, it has been proposed that WC cut points need to be reduced relative to general Asian cut points and further tailored to specific Indonesian ethnic groups. Still lower cut points may be required for analysis of T2DM risk in these same populations. 54 , 55

As BMI and WC cut points are generally not available to define obesity or overweight in specific ethnicities, the values in Table 1 may be used in South and Southeast Asian countries. Owing to Asian people's response to adiposity even at BMI values that are within the normal range for other ethnicities, evidence of obesity‐related complications should be used in combination with anthropometric findings to assess the health impact of an individual's bodyweight.

3.1.3. Considerations for assessing obesity in children

For children and adolescents aged 2–20 years, assessment is typically based on BMI percentile for the individual's age and sex; in general, overweight is defined as the 85th to 95th percentile and obesity as ≥95th percentile. 56 Pediatric overweight and obesity can also be defined by using standard deviations (SDs) above the World Health Organization (WHO) Growth Reference median 57 ; for those aged 5–19 years, overweight and obesity are defined as BMI‐for‐age >1 SD and >2 SDs above the WHO Growth Reference median, respectively.

These approaches depend on standard growth data for children in a given country and can be skewed by ethnic diversity within the population. As in adults, BMI underestimates body fat percentage in South Asian children, owing to the lower lean body mass at a given bodyweight in this population, relative to European‐based norms. 58 If BMI percentile is used to assess childhood obesity, country‐specific childhood growth chart data should be used, when available. If country‐ or population‐specific data are not available, the International Obesity Task Force charts can be considered. This resource includes tables of age‐ and sex‐specific cut points for children and adolescents aged 2–18 years, derived in part from Asian data. 59

In addition to BMI, other measurements may be considered, including WC, 60 upper arm circumference, 61 waist–height ratio, 62 and skin‐fold thickness. 63 However, no general assessment tool is yet available to correlate anthropometric findings in children with biophysical measurements or with risk of metabolic disease.

When BMI findings are borderline or ambiguous, clinical findings suggesting insulin resistance 63 or hypertension (HTN) will increase the index of suspicion that a child is developing unhealthy excess weight. 58 Further assessment is warranted, along with serial monitoring of weight or BMI.

3.2. Question 2: What are the key elements of initial work‐up for patients with obesity?

People presenting with overweight or obesity require a comprehensive clinical assessment to screen for obesity‐related complications and risk factors and to determine the impact of excess adiposity on the individual's physical and mental health, function, and quality of life (QoL). In this assessment, the clinician should attempt to identify the drivers of weight gain, including medical conditions, medications, metabolism, dietary habits and energy intake, sleep habits, and sedentary lifestyle. Psychological factors (stress, anxiety, eating disorders, or depression) and family and financial circumstances should also be investigated. The clinician and patient should work together to identify appropriate weight goals and possible barriers to successful management. Risk factors for CVD should be noted. These include smoking, HTN, dyslipidemia, prediabetes (impaired fasting glucose or impaired glucose tolerance), and a family history of CVD.

As described below, clinical assessment should include three elements: An extensive history, including personal medical, social (e.g., nutritional, physical, and cultural), and family history; a physical examination; and laboratory and diagnostic tests to identify complications of obesity (Table 2). 21 Patient history should focus on identifying personal events or behaviors that may have contributed to the individual's unhealthy weight, as well as barriers to treatment, and presence of, or risk factors for, obesity‐related complications. The clinician should also investigate impact that the individual experiences owing to excess bodyweight, including the effects of bias.

TABLE 2.

Some common complications of obesity. Adapted from Abusnana 270 and MIMS 271

Body system Disease/condition
Cardiovascular Hypertension, atherosclerotic heart and peripheral vascular disease with myocardial infarction and stroke, peripheral venous insufficiency, thrombophlebitis, pulmonary embolism, atrial fibrillation
Endocrine and reproductive Polycystic ovary syndrome and female infertility, increased risk of pregnancy complications and fetal abnormalities, male hypogonadism, cancers of the endometrium, breast, ovary, prostate, and pancreas
Gastrointestinal Cholelithiasis, gastro‐esophageal reflux disease, metabolic‐associated fatty liver disease, hepatic cirrhosis, hepatic carcinoma, and colorectal carcinoma
Metabolic Type 2 diabetes mellitus, impaired fasting glucose, impaired glucose tolerance, dyslipidemia
Musculoskeletal

Osteoarthritis of the weight‐bearing joints, lumbar muscle strain, degenerative disc disease

Blount's disease in children, slipped capital femoral epiphysis in pre‐teen or teen

Neurological Idiopathic intracranial hypertension 272
Psychological Depression, body image disturbance
Respiratory Asthma, obstructive sleep apnea, obesity‐hypoventilation syndrome
Urologic Stress incontinence

Elements of a complete history are described in Table A2. Physical examination for people with obesity (see Table A3) should include anthropometric assessment of adiposity, as well as signs and symptoms of obesity‐related complications and factors that could affect the individual's daily function and ability to be physically active.

Initial laboratory and diagnostic tests (see Table A4) required for all adults with obesity investigate potential endocrine causes of obesity and examine the various components of metabolic syndrome, as well as kidney function and blood liver enzymes. Secondary tests may be ordered to follow up on any suspected abnormalities, such as Cushing's syndrome or thyroid conditions, metabolic‐associated fatty liver disease, renal impairment, polycystic ovary syndrome, or sleep apnea. For older people, screening for cancer and cardiovascular disease becomes a priority.

3.2.1. Assessment of pediatric obesity and overweight

Similar tests, including liver function, lipid profile, fasting glucose, glycated hemoglobin, and uric acid, are appropriate when assessing older adolescents and even children with obesity. 62 The decision to assess these parameters should be based on the child's personal and family history. For instance, fasting glucose may be assessed at a relatively young age if there is a history of T2DM in a child's family or evidence of acanthosis nigricans or other signs or symptoms of metabolic disorders.

Because even young children with obesity may experience social rejection, clinicians should attempt to establish good family support for them, in the face of possible teasing or bullying by the child's peers or others (see Questions 11 and 12, below).

3.3. Question 3: What gradations of severity should be used for screening and monitoring adults and children with obesity?

Following an assessment of overweight or obesity using BMI or other anthropometric approaches (see Question 1, above), it is necessary to understand the impact of obesity on the person's health and QoL. 64 Classifying patients according to health risk and burden can assist clinicians in selecting clinical goals and determining the type and intensity and urgency of treatment and assessing treatment benefit. 40 , 64

Several recognized clinical staging systems are used for this purpose. These include the Edmonton Obesity Staging System (EOSS), 64 the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE) framework, 40 and the King's Obesity Staging Criteria (KOSC). 65 The EOSS (Figure 1) classifies people with obesity into five stages of disease severity (Stages 0–4), based on clinical assessment of obesity‐associated risk factors and complications, mental health, functional limitations, and QoL. 64 , 66

FIGURE 1.

FIGURE 1

The Edmonton Obesity Staging System. Adapted from Sharma. 64 Permission pending. BMI, body mass index; CV, cardiovascular; EOSS, Edmonton Obesity Staging System; GERD, gastroesophageal reflux disease; HTN, hypertension; PCOS, polycystic ovary syndrome; WHO, World Health Organization

The EOSS stages correlate with risk of all‐cause mortality and with incident CVD and cancer. 66 , 67 In this system, Stage 0 includes people who, despite meeting criteria for obesity, have no evident risk factors for complications of obesity; such individuals, as well as those with Stage 1 obesity (subclinical risk factors or mild health impairments) should avoid further weight gain, but weight loss may not be required. In contrast, for those with Stage 2 or 3 obesity (clinical manifestation of obesity‐related chronic diseases and/or significant limitation in function and/or well‐being), weight loss is a clinical priority, and lifestyle, pharmacological, and surgical interventions should be considered. Interventions to reduce bodyweight may continue to be appropriate in these individuals. Finally, Stage 4 describes patients with end‐stage disease, for whom palliative care is needed. 64

3.3.1. Staging obesity in children

A staging system similar to the EOSS has been described for use in pediatric patients aged 2–17 years, namely, the Edmonton Obesity Staging System for Pediatrics (EOSS‐P) (Figure 2). 68 This system is tailored to identify, not just the extent of excess bodyweight, but also the specific types of disease burden that young people might experience owing to obesity. The system evaluates four different domains of the child's experience, termed the four “M”s, 68 , 69 namely, metabolic complications; (bio)mechanical complications, including musculoskeletal issues and sleep apnea; mental health issues, such as attention deficit hyperactivity disorder, anxiety and depression, poor body image, and binge‐eating; and social milieu. Each term is scored separately on a scale of 0 to 3. The patient's overall EOSS‐P score is the highest of the individual subscores, but the subscores should be considered separately, as they can all suggest priorities for helping the child and the child's family manage the condition.

FIGURE 2.

FIGURE 2

Staging obesity in children: The EOSS‐P tool. Reprinted from Hadjiyannakis. 68 Permission pending. ADHD, attention deficit hyperactivity disorder; ADL, activity of daily living; EOSS‐P, Edmonton Obesity Staging System for Pediatrics; FSGS, focal segmental glomerulosclerosis; GERD, gastroesophageal reflux disease; IGT, impaired glucose tolerance; LD, learning disability; MSK, musculoskeletal; OSA, obstructive sleep apnea; PAP, positive airway pressure; PCOS, polycystic ovary syndrome; T2DM, type 2 diabetes mellitus

The final “M” in this system, social milieu, refers to the child's interactions with parents and family, as well as behavioral issues that may manifest in school. 68 , 69 Scoring milieu may require the clinician to take a more thorough history than is usual in a clinical encounter. For instance, parental disabilities and family financial strain may be relevant to understanding the child's home life. The occurrence of weight‐based bullying at school may be significant with respect to the child's eating and exercise patterns, mental health, and willingness to adhere to recommendations.

There is currently less information to validate the EOSS‐P as a prognostic tool, relative to the adult EOSS. However, one cross‐sectional, registry‐based study showed generally good concordance between EOSS‐P score and BMI‐based obesity staging. 69

3.3.2. Alternatives to the EOSS in adults with obesity

The AACE/ACE staging system and KOSC offer alternative assessment tools that may be advantageous for some clinicians. The AACE/ACE framework 40 categorizes patients into three stages of obesity (stages 0–2) according to BMI and the number of obesity‐related complications, using criteria specific for each complication. BMI threshold values in this system have been adjusted for ethnicity; for Asian populations, a BMI ≥ 23 kg/m2 with ≥1 severe complication defines Stage 2 obesity, the highest severity rank. The AACE/ACE framework explicitly guides treatment decisions, namely, initiation of intensive lifestyle therapy, pharmacotherapy, and bariatric surgery at different BMI values and levels of disease severity.

The KOSC 65 , 70 evaluates nine health‐related domains associated with obesity: airway/apnea, BMI, CV risk, diabetes mellitus, economic complications, functional limitations, gonadal dysfunction, perceived health status, body image. Each domain is scored separately on a four‐point scale, according to specified criteria. 65 This system does not stratify overall risk to guide treatment decisions or prioritization, but it enables clinicians to assess treatment benefit on specific health outcomes. 70

3.4. Question 4: What are the goals of obesity treatment?

The overall treatment goals are to reduce obesity‐associated health risks and to improve the individual's health. Because health benefits can be achieved even through moderate weight loss, an effective management strategy should firstly, focus on setting realistic, clinically meaningful weight loss goals that will reduce health risks or improve QoL, and secondly, support long‐term weight maintenance. In the circumstance where weight loss, for whatever reason, is unlikely, it is reasonable that this focus shifts to the prevention of further weight gain, which in itself will prevent escalation of associated health issues.

Goals should be set by both the clinician and the patient after a thorough discussion. Clinical experience and intervention studies suggest that 5–15% weight loss over a period of 6 months represents a safe and realistic short‐term weight loss goal. 71 , 72 , 73 , 74 Health and QoL endpoints may be identified as part of the treatment goal. Thus, modest weight loss (5–10% of bodyweight) and modest lifestyle interventions can provide significant health benefits. 71 , 75 , 76 , 77 , 78

However, as shown in Table 3, greater weight loss provides additional health benefits, 71 and may be required to achieve specific clinical goals, such as prevention of progression to T2DM. 40 For most patients in the DiRECT study, remission of T2DM occurred only when patients achieved weight loss of approximately 10% or greater. 72 Clinical improvement of mild sleep apnea is observed in patients achieving 7–11% weight reduction. Full remission of more severe forms of sleep‐disordered breathing typically requires more substantial weight loss (e.g., following bariatric surgery). 79 Weight loss >10% may also be required to reduce fibrosis in nonalcoholic steatohepatitis 80 , 81 and improve hepatic steatosis 82 and CVD risk factors. 77

TABLE 3.

Amelioration or remission of clinical conditions associated with obesity. Suggested weight loss goal assumes the individual is Asian, with BMI ≥ 23 kg/m2. Adapted from Garvey 40

Obesity treatment goals
Clinical condition Clinical goal Weight loss typically required
Metabolic syndrome
  • Prevention of T2DM

10%
Prediabetes
  • Prevention of T2DM

5–10%
T2DM
  • Reduction in A1c

  • Reduction in glucose‐lowering medication

  • T2DM remission

5% to ≥15%
Dyslipidemia
  • Lower triglycerides

  • Higher HDL‐c

  • Lower non‐HDL‐c

5% to >15%
Hypertension
  • Lower systolic and diastolic BP

  • Reduction in antihypertensive medication

5% to ≥15%
Nonalcoholic fatty liver disease Steatosis
  • Reduction in intrahepatocellular lipid

≥5%
Steatohepatitis
  • Reduction in inflammation and fibrosis

10–40%
Polycystic ovary syndrome
  • Ovulation

  • Regulation of menses

  • Reduced hirsutism

  • Enhanced insulin sensitivity

  • Reduced serum androgen levels

5% to ≥15%
Female infertility
  • Ovulation

  • Pregnancy

≥10%
Male hypogonadism
  • Increase in serum testosterone

5% to ≥10%
Obstructive sleep apnea
  • Improvement in symptomatology

  • Decreased apnea–hypopnea index

7% to ≥11%
Asthma/reactive airway disease
  • Improvement in forced expiratory volume at 1 second

  • Improvement in symptomatology

7% to ≥8%
Osteoarthritis
  • Improvement in symptomatology

  • Increased function

10%

5% to 10% with exercise

Urinary stress incontinence
  • Reduced frequency of incontinence episodes

5% to ≥10%
GERD
  • Reduced symptom frequency and severity

≥10%
Depression
  • Reduction in symptomatology

  • Improvement in depression scores

Uncertain

Abbreviations: BMI, body mass index; BP, blood pressure; GERD, gastroesophageal reflux disease; HDL‐c, high‐density lipoprotein cholesterol; T2DM, type 2 diabetes mellitus.

Following initial weight loss, the long‐term goals should focus on weight maintenance or additional weight loss needed to achieve specific clinical goals (see Question 10, below, for strategies and recommendations for weight maintenance after initial weight loss).

For individuals with overweight or obesity but showing no signs or symptoms of obesity‐related complications, the clinical goal is to delay or prevent the development of such complications. Ongoing assessment is appropriate, to identify incident complications at an early stage. 83

3.5. Question 5: How should multidisciplinary collaborative care be optimally structured for patients with obesity?

Where possible, obesity is best managed through a multidisciplinary collaborative approach involving various healthcare specialties, 84 to facilitate and help maintain weight loss. 84 , 85 , 86 Obesity treatment includes a combination of dietary, activity, and behavioral interventions, and, when necessary, pharmacotherapy and surgical options.

In addition to the individual's main physician, who may be a primary care doctor or an obesity specialist, the optimal multidisciplinary team should therefore include a dietician and/or nutritionist; an exercise specialist or physiotherapist; a psychologist, psychiatrist, or behavioral therapist; and an obesity nurse and/or educator.

In practice, the structure of and access to this team will vary greatly across South and Southeast Asian countries, depending on the healthcare system, availability of professionals trained in these different specialties, and financial limitations. A stratified approach may be adopted in which individuals with more severe obesity, and/or who require more intensive or specialized interventions should be referred to specialists in obesity management. Where possible, patient referral to a weight management center is encouraged, to ensure that the multiple components of obesity are considered and managed. In countries lacking specialist resources, an individual primary care physician or specialist can effectively support patients in their weight management.

3.6. Question 6: What are the indications for initiating/recommending lifestyle therapy in adults and children? What are the current treatment options?

The goal of lifestyle therapy is to achieve weight loss through dietary modification (i.e., nutritional counseling and a reduced calorie diet), increased physical activity, and behavior modification. These three interventions are most effective when applied together. 87 , 88 Lifestyle therapy must be tailored to the individual, taking cultural, geographical, and financial factors into consideration. 89 , 90

3.6.1. Dietary therapy

While initial rapid weight loss is often possible with reduced caloric intake, maintaining long‐term weight loss is a challenge. Response to a given dietary intervention is highly heterogeneous 91 and subject to genetic, behavioral, psychological, and environmental factors. 92 However, the average maximum weight loss with dietary intervention occurs at 6 months, usually followed by slow weight regain. 71 , 93

Regain is largely due to physiological responses including adaptive changes in circulating hormones that control appetite 94 , 95 and weight loss‐induced reductions in energy expenditure, 96 , 97 which make long‐term adherence to diet modification difficult. To support both weight loss and long‐term maintenance, dietary interventions need to be individualized and based on realistic goals. 98

To date, dietary studies for obesity management in South and Southeast Asia populations have largely explored calorie restriction as a component of comprehensive behavioral change. For example, studies assessing community‐based weight management programs that incorporated a personalized dietary plan 99 or daily meal replacement 100 demonstrated significant weight loss in Malaysian populations. In Asian Indians, high‐protein meal replacement, combined with standard lifestyle changes, was associated with significant weight loss and improvement in obesity‐related health parameters. 101 Clinicians have a variety of evidence‐based dietary interventions from which to choose, keeping in mind the individual's personal and cultural preferences, health, and complications. 29 , 40 , 98

Sidebar: Dietary interventions: Considerations for South and Southeast Asia

Throughout Asia, increasing access to Western‐style fast food and sugar‐sweetened beverages, as well as restaurants and convenience stores, has been linked to a significant rise in obesity and associated chronic diseases, including CVD, metabolic syndrome, and T2DM. 102 , 103 , 104 , 105 , 106 In most parts of Asia, local fast foods are energy‐dense, 107 with high levels of saturated fats, sodium, and cholesterol. Notably, common ready‐to‐eat meals and fried snacks sold by street vendors contain high levels of saturated and trans fats from hydrogenated oils. 108 , 109 The South Asian diet is also high in carbohydrates (particularly highly refined rice and sugar from sweetened beverages and traditional sweets) and low in fiber, protein, and mono‐ and polyunsaturated fatty acids. 103 , 110 , 111 , 112 , 113 , 114

Increased consumption of refined carbohydrates and hyperpalatable, high‐fat foods, 16 and low intake of dietary fiber are associated with increased cardiometabolic risk in South Asian populations. 114 , 115 South and Southeast Asian people should be advised to replace highly refined carbohydrates with complex carbohydrates, reduce intake of saturated fats, partially hydrogenated vegetable oils, and sugar, and increase intake of fiber, protein, fruits, and vegetables. 89

In some circumstances, counseling may need to challenge traditional beliefs and misconceptions that weight is associated with health in both adults and children 116 , 117 (see Question 12, below). Other cultural patterns common in some parts of South and Southeast Asia may also reduce adherence to prescribed diets. These include the custom of providing a surplus of food at meals and family gatherings, and regarding refusal of food as rude. Clinicians should recognize realities of their patients' family life and social habits that may complicate their efforts to lose weight, and counsel them accordingly.

3.6.2. Nutrition counseling

Clinicians' advice should highlight that long‐term adherence to a healthy, balanced, reduced‐calorie diet supports sustainable weight loss and positive health outcomes. 98

Multiple diets have demonstrated clinical efficacy for weight loss and health benefits. 118 , 119 These diets fall into three broad categories (see Table A5), namely, energy‐based interventions, which restrict overall calories, with or without the use of meal replacements; macronutrient‐based interventions, which target carbohydrate, protein, or fat content in the diet; and dietary pattern interventions, which restrict or favor specific foods.

An additional strategy of time restriction of meals has been proposed to improve adherence to dietary interventions. A recent study conducted in China found no difference in weight and related outcomes over 12 months from caloric restriction with or without time restriction. 120 Indeed, based on the available evidence, no one diet is superior in terms of efficacy for weight loss or weight maintenance. 118 , 121 , 122 Even very low‐calorie diets (VLCDs, ≤800 kcal/day), which can produce substantial initial weight loss, show similar efficacy to low‐calorie diets following 1 year of treatment. 123

Nevertheless, lifestyle patterns, cultural differences, and preferences will play a role in adoption and adherence to a particular diet. For both adults and children, these various diets can all reduce weight provided the individual adheres to the intervention and experiences an overall reduction in energy intake. 119 , 122 In counseling patients, a diet that reduces calorie intake by >500 kcal/day for weight loss may be taken as a starting point, corresponding to a total energy intake of 1200–1500 kcal/day for women and 1500–1800 kcal/day for men. 71 VLCDs require close medical supervision but can be considered when rapid weight loss is indicated, for example, in patients with severe obesity prior to bariatric surgery, or moderate to severe obesity that has not responded to other dietary interventions. VLCDs are rarely appropriate for children, unless the intervention is closely managed by a specialist.

3.6.3. Physical activity

Independent of weight loss, physical activity provides significant health benefits, including improvement in cardiometabolic risk factors and reduced risk of CVD and other chronic diseases, depression, and dementia. 124 , 125 , 126 , 127 To maintain or improve health, adults should devote ≥150 min per week (approximately 20 min per day) to moderate‐intensity exercise. 128 Based on the higher risk of cardiometabolic disease in South Asians, some experts recommend 60 min per day of physical activity, including aerobic activity, work‐related activity and resistance exercises. 39

Regular physical activity is effective for purposes of weight control, especially when combined with dietary modification. 87 , 124 , 129 Regular aerobic activity also reduces visceral fat (a characteristic feature of obesity in South and Southeast Asians) 130 and helps maintain weight after weight loss 128 ; an increased level of activity is generally required for weight maintenance. 131 More modest steps, such as decreasing sedentary behavior (particularly screen time or TV) and increasing overall daily activity (for example walking or climbing stairs) represent important initial goals. 23

Activity interventions need to be individualized according to the person's age, bodyweight, prior level of fitness, and the presence of physical or behavioral barriers or complications. 40 , 132 For this reason, it is recommended that clinicians screen for complications and risk factors and identify any physical and/or behavioral barriers before patients increase their physical activity. 90 Activity interventions should be achieved by gradually increasing activity over time, especially in patients who are inactive or with low fitness.

Resistance training provides additional benefits for people with obesity, including enhanced body fat loss, preservation of fat‐free mass, weight maintenance, improvement in mobility, 133 , 134 , 135 , 136 as well as a reduction in cardiometabolic risk factors for those with comorbid T2DM. 137 , 138 , 139 In addition to aerobic exercise, these individuals benefit from two to three sessions per week of resistance exercise. 132 , 137

Sidebar: Activity interventions: Considerations for South and Southeast Asia

South and Southeast Asian people are typically less physically active than other ethnic groups, 140 , 141 , 142 with studies reporting low levels of physical activity in both urban and rural populations. 143 , 144 , 145 Participation in recreational physical activities 140 , 141 , 146 , 147 is uncommon, particularly in women and older age groups. 148 , 149 In immigrant communities in England, researchers found that Indian, Pakistani, and Bangladeshi men and women reported significantly lower levels of physical activity than Europeans, and the level of physical activity correlated inversely with BMI, WC, systolic blood pressure, blood glucose, and insulin levels. 140 Sedentary behavior has also been identified as a risk factor for chronic diseases including obesity 145 , 150 and increasing levels of sedentary behavior have been reported in several South and Southeast Asian countries. 146 , 151

Common barriers to physical activity in South and Southeast Asia include ambivalence regarding physical exercise, limited time owing to long working hours and cultural obligations to family, the absence of appropriate facilities and infrastructure, limited safe areas, an unfavorable climate, and environmental pollution. 89 , 90 , 149 Women may experience additional cultural barriers related to modesty or avoiding mixed‐sex activities.

These observations highlight the need for clinicians to work closely with their patients to help them overcome these barriers and become more physically active.

Combined with structured behavioral support, intensive lifestyle therapy can lead to T2DM remission in people with overweight/obesity and T2DM. The DiRECT study, carried out in the primary care settings, focused on diet, using low‐ and very low‐calorie meal replacements, followed by stepped reintroduction of regular meals. 72 In the tertiary care setting, the Look AHEAD study applied a combination of calorie restriction and regular, moderate‐intensity physical activity, supported by frequent contacts between the individual and the treatment center. 152 In both studies, T2DM remission occurred specifically in individuals who achieved higher levels of weight loss (e.g., 15% loss of bodyweight over 1 year).

3.6.4. Lifestyle interventions for children

Management of obesity in children should emphasize healthful habits to avoid overweight and prevent progression to obesity. As with adults, programs that combine physical activity with improved diet have proved more successful than either approach separately. 153 For younger children, dietary guidance should include avoidance of fast food and any other highly energy‐dense items (e.g., fried snack foods and heavily sweetened drinks), and increased consumption of whole grains. 154 Children should be guided to avoid skipping meals, which strengthens the urge to overeat; rather, meals should be regular, with healthy foods provided for snacks. 155 , 156 Nevertheless, portion control and structured dietary interventions similar to those for adults may be considered for some adolescents, depending on their motivation and family support. 157

Children should be given the opportunity to exercise, including sports and other physical activities such as playing or household chores, aiming for a minimum of 60 min of moderate‐to‐vigorous activity, at least 5 days per week. They should be discouraged from spending long periods on sedentary activities with electronic devices. 155 , 156 , 158

Parents should emphasize positive options (desirable foods that can be chosen; vigorous play), rather than using negative remarks, threats, or prohibitions (avoiding junk food; sedentary habits). 156 As parental habits predict children's obesity, 159 parents should also be encouraged to model healthful behaviors for their children.

Unlike adults, children with obesity rarely experience adiposity‐related barriers to physical activity. 158

3.7. Question 7: What are the indications for initiating/recommending psychological and/or behavioral therapy? What are the current treatment options?

Behavioral change is at the heart of obesity management. Interventions to support healthier eating habits and patterns of physical activity can include individual or group counseling. In the primary care setting, behavioral change is enhanced by establishing open and respectful communication between the clinician and the patient (see Question 11, below) and setting clear and appropriate treatment targets. Behavioral interventions are not taken in isolation but are appropriate for people at any stage of obesity or overweight, to promote healthful habits and improve adherence to dietary change and physical exercise.

One successful approach, termed motivational interviewing, aims to enhance the individual's motivation to make behavioral changes. In motivational interviewing, the clinician demonstrates an empathetic attitude and helps the individual identify and address issues that could otherwise interfere with their intention to maintain healthy habits 160 , 161 (see Question 12, below). Barriers to adherence may include the following: poor motivation; lack of time; environmental, societal, and social pressures; knowledge gaps; poor sleep hygiene; and reluctance to exercise. 162 , 163 Behavioral interventions, such as self‐monitoring, mindful eating, stimulus control, and stress management, empower the individual to identify and address factors such as stress‐related eating that promote weight gain. They are best used in combination with other structured changes, including dietary counseling, exercise, and medical monitoring. Their success should be evaluated not solely by weight loss, but also by improvements in health, physical stamina, and QoL. 163

For those who are comfortable with technology, electronically delivered behavioral interventions may provide additional support beyond what the primary care clinician can offer. Electronic tools include websites and apps for smartphones and tablets, which allow the user to track and report their daily meals and exercise, and receive automatic or, in some cases, personal coaching. 164 , 165 Those who continue to log in or interact with these tools show corresponding success in weight loss over 6 months, as well as WC and glycemic control. 165 However, attrition is common as the tools lose their novelty. 164

Behavioral interventions should continue to be offered to patients on pharmacotherapy 166 and after bariatric surgery, 167 to support improved habits and adherence to a healthful lifestyle, as well as for mental health and QoL benefits. Intensive behavioral and lifestyle therapy can result in 5–10% weight loss over 4–12 months. 72 , 77 In one randomized controlled study, 39%, 20%, and 9% of patients receiving intensive behavioral therapy alone for over 1 year achieved 5%, 10%, and 15% weight loss, respectively. Addition of liraglutide as treatment was associated with significantly greater success in reaching each of these weight loss targets. 168 Similar benefits have been observed with naltrexone/bupropion and semaglutide. 169 , 170

As with lifestyle interventions, behavioral changes should generally be maintained to help with long‐term weight loss maintenance.

3.8. Question 8: What are the indications for initiating/recommending pharmacotherapy for adults and children? What are the current pharmacotherapy options?

Pharmacotherapy for obesity can be used in appropriate patients, to increase and help maintain weight loss, improve obesity‐related risk factors, and prevent or reverse obesity‐related complications. 171 , 172 , 173 , 174 Pharmacotherapy options are best used in combination with lifestyle modification, as their efficacy is limited unless lifestyle changes are also made. 171 , 175 , 176 , 177

Factors favoring the use of pharmacotherapy as an adjunct to lifestyle modification include a history of nonresponse (e.g., if the individual does not achieve 5% bodyweight reduction), weight regain, or weight cycling when lifestyle therapy is used alone. Alongside lifestyle modification, antiobesity pharmacotherapy can also be considered as initial therapy for some individuals with more severe stages of obesity and those for whom urgent treatment or a greater degree of weight loss is required to manage their obesity‐related complications. 40 , 178 , 179

For some individuals, combining pharmacotherapy with intensive behavioral interventions, or an initial low‐calorie diet followed by pharmacotherapy and behavioral therapy, may achieve greater bodyweight reduction and help maintain weight loss. 169 , 170

3.8.1. Indications for pharmacotherapy

International obesity guidelines, 23 , 40 , 132 , 179 following evidence from clinical trials of antiobesity medications, generally recommend pharmacotherapy for those with BMI ≥ 30 kg/m2 or ≥27 kg/m2 in the presence of cardiometabolic obesity‐related risk factors or complications (e.g., HTN, T2DM, sleep apnea). However, lower BMI cut points have been proposed for use of pharmacotherapy, reflecting the fact that Asian people experience obesity‐related complications at lower BMIs, compared with non‐Asian people. 29 , 39 Thus, a 2009 consensus statement recommends pharmacotherapy in Asian Indian adults with a BMI > 27 kg/m2 or >25 kg/m2 with complications. 39 This same guidance suggests initiating pharmacotherapy based on a WC measurement at least 10 cm greater than the upper limit of normal for Asian Indian men and women. 39

Clinicians considering the use of pharmacotherapy for people with obesity should be aware that long‐term improvement in obesity‐related complications has not been demonstrated with short‐term pharmacotherapy, and weight regain is common when medication is withdrawn. 173 , 174 , 180 Extended treatment may be needed to support weight maintenance and provide long‐term health benefits. Conversely, terms of authorization require that treatment be stopped if weight loss is <5% of total bodyweight after 12 weeks on the maximally tolerated dosage. 40

As shown in Table 4, antiobesity medications commonly used in most countries in South and Southeast Asia include orlistat, liraglutide, and phentermine. Of these, only orlistat is available across the region. In addition, a combination of bupropion and naltrexone has recently been approved in Singapore; other sympathomimetic agents, including mazindol and diethylpropion, are approved for short‐term use in Indonesia. The dosing, mechanisms, and side effect profiles of these agents are summarized in Table 5, along with their pharmacologic features and prescribing considerations. Also covered here are two drug options not currently approved for obesity treatment in this region, namely: low‐dose phentermine with topiramate extended‐release combination, which is approved by regulatory authorities in other parts of Asia; and semaglutide 2.4 mg, which at present, is approved for the treatment of obesity in the United States and Europe but not in Asia. Semaglutide (oral and subcutaneous) is approved for use in T2DM in South and Southeast Asia and is associated with significant weight loss. In the clinical setting, a patient with T2DM and overweight or obesity may benefit from treatment with glucose‐lowering agents that also promote weight loss, for example, glucagon‐like peptide‐1 receptor agonists and sodium–glucose cotransporter‐2 inhibitors.

TABLE 4.

Pharmacotherapies for managing obesity in South/Southeast Asia

Orlistat Liraglutide 3.0 mg Phentermine a Naltrexone ER/bupropion ER
Bangladesh
Brunei Darussalam
India
Indonesia
Malaysia
Philippines b
Singapore b b
Sri Lanka
Thailand b
Viet Nam

Abbreviation: ER, extended‐release.

a

Phentermine is approved only for short‐term use (≤12 weeks).

b

Approved for use in adolescents ≥12 years old.

TABLE 5.

Overview of pharmacotherapy. Adapted from Garvey 40 and Apovian 178

Antiobesity pharmacotherapy, indication/use a Mechanism of action, study name, study duration: % TBWL greater than placebo or mean kg weight loss over placebo Dose Common side effects Contraindications, cautions, and safety concerns Monitoring and comments

Orlistat

Chronic weight management

Lipase inhibitor

XENDOS

1 year: 4.0%

4 years: 2.6%

120 mg PO TID (before meals)

OTC: 60 mg PO TID (before meals)

  • Steatorrhea

  • Fecal urgency

  • Incontinence

  • Flatulence

  • Oily spotting

  • Frequent bowel movements

  • Abdominal pain

  • Headache

  • Pregnancy and breastfeeding

  • Chronic malabsorption syndrome

  • Cholestasis

  • Oxalate nephrolithiasis

  • Rare severe liver injury

  • Cholelithiasis

  • Malabsorption of fat‐soluble vitamins

  • Effects on other medications:

    • Warfarin (enhance)

    • Antiepileptics (decrease)

    • Levothyroxine (decrease)

    • Cyclosporine (decrease)

Monitor for:
  • Cholelithiasis

  • Nephrolithiasis

  • Recommend standard multivitamin (to include vitamins A, D, E, and K) at bedtime or 2 h after orlistat dose

  • Eating >30% kcal from fat results in greater GI side effects

  • FDA‐approved for children ≥12 years old

  • Administer levothyroxine and orlistat 4 h apart

Phentermine

Short‐term use (<12 weeks) for the management of obesity

NE‐releasing agent

2–24 weeks: 3.6 kg

15–37.5 mg (HCI) PO once daily

15–30 mg (ion‐exchange resin complex) PO once daily

  • Headache, elevated BP, elevated HR, insomnia, dry mouth, constipation, anxiety

  • Cardiovascular: palpitation, tachycardia, elevated BP, ischemic events

  • Central nervous system: overstimulation, restlessness, dizziness, insomnia, euphoria, dysphoria, tremor, headache, psychosis

  • GI: dryness of the mouth, unpleasant taste, diarrhea, constipation, other GI disturbances

  • Allergic: urticaria

  • Endocrine: impotence, changes in libido

  • Anxiety disorders (agitated states)

  • History of heart disease, uncontrolled hypertension

  • Seizure

  • MAOIs

  • Pregnancy and breastfeeding

  • Hyperthyroidism

  • Glaucoma

  • History of drug abuse

  • Sympathomimetic amines

  • Long‐term use may lead to pharmacological tolerance, dependence, and withdrawal symptoms

Diethylpropion

Short‐term use (<12 weeks) for the management of obesity

NE‐releasing agent

6–52 weeks: 3.0 kg

75 mg/day
  • See phentermine

  • See phentermine

  • See phentermine

Phentermine/topiramate ER

Chronic weight management

NE‐releasing agent (phentermine)

GABA receptor modulation (topiramate)

EQUIP

CONQUER

SEQUEL

1 year: 8.6–9.3% on high dose; 6.6% on treatment dose

2 years: 8.7% on high dose; 7.5% on treatment dose

Starting dose: 3.75/23 mg PO QD for 2 weeks

Recommended dose: 7.5/46 mg PO QD

Escalation dose: 11.25/69 mg PO QD

Maximum dose: 15/92 mg PO QD

  • Headache

  • Paresthesia

  • Insomnia

  • Decreased bicarbonate

  • Xerostomia

  • Constipation

  • Nasopharyngitis

  • Anxiety

  • Depression

  • Cognitive impairment (concentration and memory)

  • Dizziness

  • Nausea

  • Dysgeusia

  • Pregnancy and breastfeeding (topiramate teratogenicity)

  • Hyperthyroidism

  • Acute angle‐closure glaucoma

  • Concomitant MAOI use (within 14 days)

  • Tachyarrhythmia

  • Decreased cognition

  • Seizure disorder

  • Anxiety and panic attacks

  • Nephrolithiasis

  • Hyperchloremic metabolic acidosis

  • Dose adjustment with hepatic or renal impairment

  • Concern for abuse potential

  • Combined use with alcohol or depressant drugs can worsen cognitive impairment

Monitor for:
  • Increased heart rate

  • Depressive symptomatology or worsening depression especially on maximum dose

  • Hypokalemia (especially with HCTZ or furosemide)

  • Acute myopia and/or ocular pain

  • Acute kidney stone formation

  • Hypoglycemia in patients having T2DM treated with insulin and/or sulfonylureas

  • Potential for lactic acidosis (hyperchloremic nonanion gap) in combination with metformin

  • MAOI (allow ≥14 days between discontinuation)

  • 15 mg/92 mg dose should not be discontinued abruptly (increased risk of seizure); taper over at least 1 week

  • Healthcare professional should check βHCG before initiating, followed by monthly self‐testing at home

  • Monitor electrolytes and creatinine before and during treatment

  • Can cause menstrual spotting in women taking birth control pills owing to altered metabolism of estrogen and progestins

Naltrexone ER/bupropion ER

Chronic weight management

Opiate antagonist (naltrexone)

Reuptake inhibitor of DA and NE (bupropion)

COR‐I

COR‐II

COR‐BMOD

1 year: 4.2–5.2%

Titrate dose:

Week 1: 1 tablet (8/90 mg) PO QAM

Week 2: 1 tablet (8/90 mg) PO BID

Week 3: 2 tablets (total 16/180 mg) PO QAM and 1 table (8/90 mg) PO QHS

Week 4: 2 tablets (total 16/180 mg) PO BID

  • Nausea

  • Headache

  • Insomnia

  • Vomiting

  • Constipation

  • Diarrhea

  • Dizziness

  • Anxiety

  • Xerostomia

  • Pregnancy and breastfeeding

  • Uncontrolled hypertension

  • Seizure disorder

  • Anorexia nervosa

  • Bulimia nervosa

  • Severe depression

  • Drug or alcohol withdrawal

  • Concomitant MAOI (within 14 days)

  • Chronic opioid use

  • Cardiac arrhythmia

  • Dose adjustment for liver or kidney impairment

  • Narrow‐angle glaucoma

  • Uncontrolled migraine disorder

  • Generalized anxiety disorder

  • Bipolar disorder

  • Safety data lacking in patients who have depression

  • Seizures (bupropion lowers seizure threshold)

Monitor for:
  • Increased heart rate and blood pressure

  • Worsening depression or suicidal ideation

  • Worsening of migraines

  • Liver injury (naltrexone)

  • Hypoglycemia in patients having T2DM treated with insulin and/or sulfonylureas

  • Seizures (bupropion lowers seizure threshold)

  • MAOI (allow ≥14 days between discontinuation)

  • Dose adjustment for patients with renal and hepatic impairment

  • Avoid taking medication with a high‐fat meal

  • Can cause false positive urine test for amphetamine

  • Bupropion inhibits CYP2D6

Liraglutide 3.0 mg

Chronic weight management

FDA‐approved for adolescents ≥12 years

GLP‐1 analog

SCALE Obesity & Prediabetes

1 year: 5.6%

3 years: 4.3%

Titrate dose weekly by 0.6 mg as tolerated by patient (side effects):

0.6 mg SC QD→

1.2 mg SC QD→

1.8 mg SC QD→

2.4 mg SC QD→

3.0 mg SC QD

  • Nausea

  • Vomiting

  • Diarrhea

  • Constipation

  • Headache

  • Dyspepsia

  • Increased heart rate

  • Pregnancy and breastfeeding

  • Personal or family history of medullary thyroid cancer or MEN2

  • Pancreatitis

  • Acute gallbladder disease

  • Gastroparesis

  • Severe renal impairment can result from vomiting and dehydration

  • Use caution in patients with history of pancreatitis

  • Use caution in patients with cholelithiasis

  • Suicidal ideation and behavior

  • Injection site reactions

Monitor for:
  • Pancreatitis

  • Cholelithiasis and cholecystitis

  • Hypoglycemia in patients having T2DM treated with insulin and/or sulfonylureas

  • Increased heart rate

  • Dehydration from nausea/vomiting

  • Injection site reactions

  • Titrate dose based on tolerability (nausea and GI side effects)

Semaglutide 2.4 mg 73 , 169 , 273 , 274 , 275

Chronic weight management

GLP‐1 analog

STEP Obesity

Adults without T2DM 68 weeks: 10.3–12.4% 104 weeks: 12.6%

Adults with T2DM68 weeks: 6.2%

Titrate dose every 4 weeks as tolerated by patient (side effects):

0.25 mg SC QW→

0.5 mg SC QW→

1.0 mg SC QW→

1.7 mg SC QW→

2.4 mg SC QW

  • Nausea

  • Vomiting

  • Diarrhea

  • Constipation

  • Headache

  • Fatigue

  • Dyspepsia

  • Dizziness

  • Abdominal distension

  • Eructation

  • Gastroenteritis

  • Gastroesophageal reflux disease

  • Pregnancy and breastfeeding

  • Personal or family history of medullary thyroid cancer or MEN2

  • Pancreatitis

  • Acute gallbladder disease

  • Gastroparesis

  • Severe renal impairment can result from vomiting and dehydration

  • Use caution in patients with history of pancreatitis

  • Use caution in patients with cholelithiasis

  • Suicidal ideation and behavior

  • Injection site reactions

Monitor for:
  • Pancreatitis

  • Cholelithiasis and cholecystitis

  • Hypoglycemia in patients having T2DM treated with insulin and/or sulfonylureas

  • Diabetic retinopathy in patients with T2DM

  • Increased heart rate

  • Dehydration from nausea/vomiting

  • Injection site reactions

  • Titrate dose based on tolerability (nausea and GI side effects)

Note: FDA indication for all medications: BMI ≥ 30 kg/m2 or BMI ≥ 27 kg/m2 with significant complications.

After 3 to 4 months of treatment with antiobesity medication:
  • For naltrexone ER/bupropion ER: If the patient has not yet lost at least 5% of their baseline body weight at 12 weeks on the maintenance dose, the medication should be discontinued.
  • For phentermine/topiramate ER: Continue medication if the patient has lost >5% body weight after 12 weeks on recommended dose (7.5 mg/42 mg); if the patient has not lost at least 3% of body weight after being on the recommended dose for 12 weeks, then the medication should be discontinued, or the patient can be transitioned to maximum dose (15 mg/92 mg); if the patient has not lost at least 5% after 12 additional weeks on the maximum dose, the medication should be discontinued.
  • For liraglutide 3.0 mg: If the patient has not lost at least 4% of body weight 16 weeks after initiation, the medication should be discontinued.

Abbreviations: BP, blood pressure; CYP2D6, cytochrome P450 2D6; DA, dopamine; ER, extended‐release; FDA, US Food and Drug Administration; GABA, gamma‐aminobutyric acid; GI, gastrointestinal; GLP‐1, glucagon‐like peptide‐1; HCG, human chorionic gonadotropin; HCTZ, hydrochlorothiazide; HR, heart rate; MAOI, monoamine oxidase inhibitor; MEN2, multiple endocrine neoplasia type 2; NE, norepinephrine; PO, oral; QAM, every morning; QD, daily; QHS, every bedtime; QW, every week; SC, subcutaneous; TBWL, percent total body weight loss from baseline over that observed in the placebo group; T2DM, type 2 diabetes mellitus; TID, three times daily.

a

Indication may vary by country.

Choice among antiobesity medications should be based on obesity‐related complications, severity of obesity, concurrent medications, and barriers to adherence, as well as the medications' efficacy, side effects, and contraindications.

Sidebar: Pharmacotherapy in children and adolescents

The use of pharmacotherapy in children and adolescents with obesity is limited in clinical practice. 158 , 181 Pharmacotherapy is a recognized tool for obesity management only in adolescents and requires close monitoring by the pediatrician to identify adverse effects. 155

Compared with adults, there is a lack of well‐controlled studies and long‐term data on the efficacy and safety of pharmacotherapy in children, and the risk versus long‐term benefit ratio remains uncertain. 182 Consequently, pharmacotherapy should be considered for adolescents with obesity only if lifestyle modification has been ineffective or the patient has severe complications, and even then, only as an adjunct to behavioral change. 132 , 155 , 182 As with adults, treatment should be evaluated after 12 weeks at the maximum dose and pharmacotherapy discontinued if BMI or BMI z‐score reduction is <4%. 182

Currently, orlistat and liraglutide 3.0 mg are approved for use in adolescents (>12 years) in several Asian countries. Metformin, approved for use in children over age 10 with T2DM, can be associated with weight loss. 132 However, long‐term studies are needed to confirm efficacy in treating children and adolescents with obesity who do not have T2DM.

Clinical studies on orlistat plus lifestyle modification suggest that adolescents may experience 0.55–0.8 kg/m2 reduction in BMI. 183 , 184 Mild to moderate gastrointestinal (GI) adverse events are more common with orlistat than placebo 183 , 185 , 186 and have been associated with treatment discontinuation in population‐based studies. 187 , 188

For liraglutide plus lifestyle therapy in adolescents (12 to <18 years) with obesity, a 56‐week phase 3 study demonstrated a significant reduction in BMI relative to placebo (estimated treatment difference in BMI SD score, −0.22; P = 0.002). GI adverse events and adverse events leading to discontinuation were more common in the liraglutide group than in the placebo group. 189

3.9. Question 9: What are the indications for initiating/recommending procedures and surgery? What are the current options?

3.9.1.

Metabolic and bariatric surgery encompass a variety of procedures that alter GI anatomy, leading to weight loss due to reduced food intake and other mechanisms. 190 , 191 To guide referral to bariatric surgeons, clinicians in South and Southeast Asia should be aware of the potential benefits of surgery, as well as patient selection considerations and treatment limitations.

Common bariatric approaches in Asia include sleeve gastrectomy (SG), Roux‐en‐Y gastric bypass (RYGB), and one‐anastomosis gastric bypass (OAGB) performed laparoscopically. Endoluminal bariatric procedures, which may be indicated at different BMI ranges, are also gaining popularity. These include intragastric balloon insertion and the novel endoscopic sleeve gastroplasty. 190 , 191

3.9.2. Benefits of bariatric surgery

Bariatric surgery results in more extensive and often more durable weight loss compared with lifestyle modification and obesity pharmacotherapy. Treatment benefits include improved QoL and amelioration or remission of comorbid conditions. Studies in Asian and other populations indicate that these procedures can lead to remission of T2DM, 192 , 193 with significant improvement in glycemic control, dyslipidemia, and systolic blood pressure. 194 , 195 Ethnicity does not appear to influence the clinical benefits seen with bariatric surgery. 196

Database analysis indicates that, up to 20 years following bariatric surgery, CV events and all‐cause mortality decrease significantly relative to matched patients treated nonsurgically. 194 Projected increase in lifespan in these individuals reflects the restoration of glucose sensitivity and the reversal of dyslipidemia and HTN. 197 , 198 , 199

In suitable patients, surgical procedures can lead to substantial weight loss, with the prospect of durable amelioration of overweight and obesity. Studies in South and Southeast Asian countries report median excess weight loss (EWL) of ~50% to >70% at 5 years after surgery, depending in part on the bariatric procedure used. 200 , 201 , 202 , 203 Note that excess weight refers to the difference between the individual's actual weight and the ideal bodyweight of a person of the same sex and height, with a BMI of 25 kg/m2. Peak weight loss typically occurs 1–2 years after surgery, 195 , 202 with EWL of 65% to >80%. 204 In some populations, RYGB and OAGB result in greater and more sustainable long‐term weight loss than SG. 203 , 205

3.9.3. Caveats for patients considering bariatric surgery

Despite its potential advantages, surgery is not appropriate for all people with obesity. Based on the realities of surgical availability in each country, patients should be counseled that the wait time can be long, even for an initial consultation. Moreover, some may be required to lose weight via diet and exercise before undergoing the procedure.

Bariatric surgery generally poses little risk of serious complications, with mortality <0.1%. However, postsurgical adverse events related to altered GI tract anatomy and function are common. 199 Patients must adhere to a strict diet progression during the initial weeks after surgery and to life‐long dietary modification afterwards. 206

After bariatric surgery, patients are at risk of weight regain and relapse of obesity‐related complications, as well as micronutrient (vitamins and minerals) and even macronutrient deficiency. The need for nutritional supplements may be lifelong. Patients must therefore commit to regular consultation with their physician and potentially a dietician, to monitor their dietary habits and blood biochemistry, check for signs and symptoms of nutrient deficiency (particularly in women of reproductive age), and adjust supplementation. 190 , 199 , 206 Bariatric surgery may alter the oral bioavailability of medications, including oral contraceptives, warfarin, antibiotics, and antidepressants. 207 Women who are pregnant or planning to conceive within 1 year should not undergo bariatric surgery.

3.9.4. Indications for bariatric surgery

Bariatric surgery can be recommended for appropriate patients as an adjunct to lifestyle modification, with or without pharmacotherapy. As shown in Table 6, BMI cut points for recommendation or consideration of surgical procedures vary among countries in the region. However, there is general consensus that BMI values specific for Asian populations should be used in Asian countries, and that poorly controlled T2DM or other complications of obesity should be factored into the decision for surgery. 208

TABLE 6.

BMI criteria for bariatric and metabolic surgery (kg/m2) 43 , 132 , 190 , 208 , 276 , 277 , 278

BMI criteria for bariatric surgery in Asian patients (kg/m2) IFSO‐APC National guidance DSS‐II
Brunei Darussalam India Malaysia Singapore Sri Lanka Thailand
May be recommended regardless of complications ≥35 ≥40 ≥35 ≥37.5 ≥37.5 ≥35 ≥37.5 ≥37.5 a
May be recommended for patients with complications ≥30 b ≥35 ≥30 c ≥32.5 b ≥32.5 d ≥30 e ≥32.5 ≥32.5 f
May be considered ≥27.5 f ≥27.5 f <32.5 ≥27.5 ≥27.5 f

Abbreviations: BMI, body mass index; DSS‐II, Second Diabetes Surgery Summit; IFSO‐APC, International Federation for the Surgery of Obesity and Metabolic Disorders Asia Pacific Chapter.

a

For patients with type 2 diabetes mellitus.

b

For patients with metabolic syndrome.

c

For patients with ≥2 obesity‐related complications.

d

For patients with ≥1 difficult‐to‐control obesity‐related complication.

e

May be recommended if there are severe complications.

f

For patients with poorly controlled type 2 diabetes mellitus.

Surgical procedures are generally recommended for adults aged 18–69 years with indications. For adolescents with severe obesity, bariatric surgery may be considered after detailed assessment by an experienced multidisciplinary care team, including considerations of pubertal and skeletal maturation and whether the patient and family have the motivation and ability to adhere to recommended treatments. 62 , 190 , 209 Similarly, for those ≥70 years, careful assessment by an experienced care team is necessary before recommending surgery. Adults with substance use disorders or psychiatric illness that would limit their ability to adhere to dietary restrictions or medical monitoring should not be considered for surgery. Caution is also indicated in individuals with hepatic dysfunction and in tobacco smokers. 190

Finally, although many patients experience postsurgical improvement in physical and mental QoL, 210 psychological support may be needed for people who experience depression or other mood disorders. 206 Suicidality and increased substance abuse may occur, necessitating careful patient selection and postoperative monitoring.

Sidebar: Bariatric surgery considerations for South and Southeast Asia

Access to bariatric surgery is increasing across the Asia‐Pacific region. 191 , 211 Significant barriers to uptake remain, including limited public insurance coverage, patients' fears and misconceptions, and a lack of acceptance of the need for surgery. 191 , 212 , 213 Even among healthcare professionals, low awareness of bariatric surgery options and safety leads to low referral rates in South and Southeast Asian countries, 191 as has been reported elsewhere. 214 , 215

3.10. Question 10: What strategies are important to consider for long‐term weight reduction/maintenance for adults and children?

As with initial weight loss, the challenge of maintaining bodyweight reduction is complex and influenced by genetics, 216 habits, and psychosocial characteristics. 197 , 217 Given the chronic nature of obesity, it is expected that most people who achieve weight loss targets in the short term will experience partial or complete regain of their prior bodyweight. 95

Weight regain is driven by a complex interaction between biology, behavior, and an obesogenic environment. Short‐term (e.g., 8‐week) caloric restriction induces changes in gut‐derived hormones, increasing appetite and food intake and reducing satiety and energy expenditure. These physiologic changes promote escalating weight regain and persist for at least a year following a diet. 94 Similarly, individuals who reduce bodyweight by ≥10% experience an adaptive reduction in energy expenditure, 97 which opposes weight loss in response to calorie reduction. 218 Ongoing metabolic adaptation correlates with greater difficulty in maintaining extreme weight loss. This effect appears to persist over at least 6 years, suggesting that maintenance of reduced weight loss is a challenge that does not readily subside over time. 96

It is important that patients realize that there are powerful biological determinants at play making weight maintenance difficult. For those using behavioral approaches for weight reduction, early weight loss (e.g., over 1–2 months) predicts long‐term maintenance (Figure 3). 197 , 219 , 220 In general, some degree of regain is expected, with women experiencing particular challenges in the peripartum and perimenopausal and postmenopausal stages. Women may therefore require postpartum and perimenopausal support, to institute or reinstitute lifestyle measures when they are safe and feasible. 221 , 222 , 223

FIGURE 3.

FIGURE 3

Weight change trajectories over 8 years in patients enrolled in an intensive behavioral weight loss program vary with 2‐month outcomes. Reprinted from Unick et al. 220 Permission pending

Ongoing interaction with healthcare practitioners has consistently been associated with improved long‐term weight loss outcomes. 71 , 224 Strategies by which clinicians can support patients and minimize weight regain include counseling to ensure frequent self‐monitoring of weight and lifestyle change, continually exploring and addressing factors that may contribute to the individual's unhealthy weight, supervised adherence to reduced calorie intake, and increased physical activity. 152 Likewise, cognitive restructuring based around realistic weight loss goals can enhance patients' behavioral skills, extending into the long term. 95 Finally, it may be necessary to extend behavioral modification strategies to interventions that require medical supervision, including intermittent or extended use of VLCDs or meal replacements, pharmacotherapy, and bariatric procedures.

An individual's aspirational weight goals may be more ambitious than targets set in the clinic, and failure to meet them does not correlate with subsequent weight trajectory. 220 Therefore, regardless of whether patients achieve their personal targets, weight stabilization and establishment of a new, lower baseline weight should be regarded as success. Similarly, clinicians should highlight the importance of improvements in obesity‐related complications and increased QoL or daily function benefits that may persist despite weight regain.

Ongoing psychosocial support should be considered, to help maintain healthier habits regarding diet and physical activity. In patients using pharmacotherapy, rapid progress early in treatment is associated with greater success in long‐term maintenance of reduced weight. 225 Odds of longer‐term maintenance are greater for those attempting to lose weight with pharmacotherapy or surgery, in combination with lifestyle and behavioral change. 197 Of the available pharmacotherapies in South and Southeast Asia, three are approved for long‐term use (liraglutide, orlistat, and bupropion ER/naltrexone ER combination), with evidence demonstrating effective weight loss and maintenance over 1–4 years. 171 , 174 , 226 For those who tolerate and respond well to treatment, extended pharmacotherapy can be part of a long‐term treatment strategy. The benefits and risks of such an approach must be evaluated in each individual. 176

Following bariatric surgery, most people experience some degree of weight regain over long‐term follow‐up. 206 , 227 One large South Asian study found that by 5 years after surgery, mean regain was 14% of nadir weight. Mean weight regain varied substantially based on the surgical method chosen, ranging from 3% in patients undergoing OAGB to 35% in patients with SG. 228 Patients should be told to expect this outcome, which can be a source of significant distress, even if they stabilize at a weight below their presurgical baseline and enjoy improved metabolic and CV health. Continued behavioral and psychological support may be required in the postsurgical setting. 206

Centile charts are available for postsurgical weight loss, specifically in Asian patients undergoing various bariatric procedures. 205 Because they display a wide range of weight trajectories, these charts can be helpful in counseling patients before surgery and the times at which weight regain is commonly expected. Weight trajectory charts can be used to identify individuals with suboptimal response. Causes of weight regain may include surgical failure or could be essentially behavioral, with reduced adherence to dietary and physical activity regimens. 229 Therefore, strategies to minimize or avoid regain after surgery may include structured dietary control, 230 exercise, behavioral counseling, endoscopic or revisional surgery, and pharmacotherapy. 167 , 231

Of the available antiobesity medications, the best studied in the postbariatric setting is liraglutide, which appears to be similarly well tolerated and efficacious in bariatric patients as in others with obesity. 206 , 232 Liraglutide is particularly useful in patients requiring better diabetes control after bariatric surgery. 233 Other agents that have been studied include canagliflozin (for those with T2DM), phentermine, phentermine‐topiramate and naltrexone/bupropion. 197 , 234 , 235 Orlistat is not recommended for patients who have undergone bariatric surgery or malabsorptive procedures, such as RYGB. 206

3.11. Question 11: What is obesity stigma and how can it be recognized and addressed in the healthcare setting?

Stigma is now recognized as a common experience for people with obesity, with pervasive negative consequences for their physical and mental health. 236 Experience of stigma includes explicit or subtle forms of discrimination and bias affecting personal, educational, and employment opportunities. Especially in women, stigma and internalized weight bias may lead to social isolation, depression, and anxiety, thus complicating the management of metabolic disorders and other medical burdens associated with obesity. 236 , 237

People with obesity experience poorer medical care as a result of stigma and judgmental attitudes held, and often expressed, by various healthcare professionals. 238 Such attitudes may arise from the common but unfounded assumption that people with obesity have poor self‐control or present a high risk of treatment nonadherence. Surveys in Asian, including South and Southeast Asian, countries suggest that such opinions are common among clinicians and the general public, and that people with obesity are reluctant to engage their doctors in a discussion about their weight. 213 , 239 , 240

Internalization of stigma 241 generates a poor self‐image, which is difficult to treat but may be easily worsened by a hostile encounter. The experience of hostile or insensitive language in the healthcare system can create a barrier to treatment of obesity and its complications. 236 , 238

Owing to external and internalized weight stigma, people with obesity may be reluctant to seek medical care, including routine cancer screening, thus increasing risk of delayed detection of serious disorders otherwise unrelated to bodyweight. 236 , 242 , 243

3.11.1. Physical and mental health effects of obesity stigma

Contrary to the assumption that negative response from others might encourage people with obesity to increase their energy output or adopt a healthier diet, the experience of stigma appears to drive further weight gain. Thus, weight‐related teasing and shaming appear to promote unhealthy eating habits (e.g., binge eating) and an isolated, sedentary lifestyle. 236 , 244 , 245 Whereas the experience of stigma does indeed motivate some people with obesity to undergo bariatric surgery, the surgical option can itself be stigmatized, being portrayed unsympathetically as an “easy way out.” 236 Hence, even a successful response to this medical condition can represent a source of shame for people with obesity.

Stigma experienced in childhood and beyond represents a risk factor for later progression from overweight to obesity. This effect is independent of baseline BMI, indicating that teasing is not a marker for more severe obesity. 238 , 244 Rather, it appears that the experience of stigma itself is destructive to the individual's later ability to adopt and maintain healthy habits.

3.11.2. Recognizing and addressing obesity stigma in the healthcare system

Physicians and allied healthcare workers, such as nutritionists, share their prejudices as other members of their society. 236 , 246 They therefore need to be on guard against holding and expressing hostile attitudes toward, and unfair assumptions about, people with obesity.

These attitudes may be difficult to recognize in oneself but may be evident to the individual. Even if it is not stated explicitly, a clinician's assumptions (e.g., that the individual is not fully committed to losing weight) can undermine trust between them. Clinicians caring for patients with obesity should be mindful of their personal biases and the deleterious impact of weight bias and obesity stigma on the health of their patients and treatment outcomes.

Practicing respect toward people with obesity requires use of language that avoids placing blame. 236 , 238 Thus, in discussions with patients, clinicians should acknowledge the roles of genetics, environmental influences, and individual physiology, all of which can place people at heightened risk of obesity. Identifying obesity as a chronic disease also helps frame the discussion in a constructive manner.

Stigmatizing terms (such as “fat”) and those that emphasize the severity of the individual's condition (such as “morbidly obese”) should be avoided. To motivate patients without shaming them, clinicians should preferentially use more neutral terms, such as “weight” or “unhealthy weight.” 247

Given the diversity of South and Southeast Asian countries, the challenge of choosing respectful language and actions with people with obesity requires sensitivity to the local culture. In each country, further research is needed on the cultural beliefs that lead to stigma and ways to reduce weight bias and prevent shaming or stigmatizing people with obesity.

3.12. Question 12: How should patients and families be engaged in a discussion about bodyweight?

Across cultures, bodyweight has personal significance, contributing positively or negatively to an individual's body image satisfaction. For both men and women, weight can be linked to social status and personal and professional opportunity. 236 , 248

The cultural understanding of body fat varies across South and Southeast Asian countries and may vary across generations even in a single community. In general, exposure to Western‐inspired culture and advertising motivates people in this region to adopt Western standards of appearance and weight. 249 These standards may run counter to a traditional view of high bodyweight as a marker of status. 250

Cultural assumptions and personal experience provide context that forms people's perception of their own bodyweight and shape. Some may be unaware that their overweight has placed them at risk of metabolic disease. Others may be fixated on an unachievable weight reduction goal. Each of these circumstances represents a barrier to safe and well‐managed long‐term weight reduction. 163 , 251

Because the topic is subjectively understood and potentially emotionally sensitive, it is crucial for clinicians to consider ways to engage their patients about the health aspects of overweight and to help them make a long‐term commitment to address their unhealthy weight. Techniques of motivational interviewing are often helpful in this dialog, leading to increased engagement and significantly enhanced weight loss. 160 , 161

One widely used approach to initiating these discussions is the so‐called 5As framework, as follows 252 : ASK for permission to discuss weight and explore readiness. ASSESS obesity related risks and “root causes” of obesity. ADVISE on health risks and treatment options. AGREE on health outcomes and behavioral goals. ASSIST in accessing appropriate resources and providers.

Asking permission, the crucial first step in the 5As approach, requires the clinician to be open to hearing the individual's experience in dieting and their fears, which may be based on a history of experiencing stigma and weight shaming. The individual may be reassured to learn that weight goals will be tailored to them personally, so they do not need to commit to reaching an ideal weight. Less daunting goals include modest weight loss, weight stabilization, or improved physical fitness. If a patient is not open to a discussion about weight or does not appear ready to make long‐term changes, the clinician may choose to leave the discussion for a later date.

Assessment includes both staging (see Question 2, above) and investigation of any underlying factors that may contribute to the individual's unhealthy weight, including metabolism, sleep difficulties, overeating, and a sedentary lifestyle. Psychological factors such as stress, depression, and internalized weight stigma (see Question 11, above) should also be acknowledged at this step.

Advising refers to communicating the chronic health risks associated with different degrees of overweight and obesity and advising on all relevant treatment options, recognizing that the individual's self‐perception of their weight may be greater or less than obesity staging would indicate.

Agreeing is in part a goal‐setting exercise, wherein the individual commits to a course of action and sets realistic targets to achieve and maintain. Targets should be specific and clearly stated, such as 5–10% weight reduction over an agreed‐upon timeframe. A plan should be set for monitoring progress, not only for the stated goal, but also for other potential benefits that they might experience, such as increased physical stamina and stabilization or improvement in CV risk markers.

Assistance includes helping the individual discover and understand factors that drive their weight gain and barriers that they will need to overcome to reach their target. Such barriers may be medical (e.g., use of prescription medications that promote weight gain), psychological (e.g., internalized stigma and fear of shaming that discourages exercise in public), or practical (e.g., transportation systems that are designed for smaller body size). The clinician should help the individual find workable solutions to these problems. If agreeable to the patient, the clinician should arrange for referrals to other specialists, including dieticians, psychologists, and physical or occupational therapists.

As noted (see Question 1, above), the recognition that obesity is a disease may help address the common attitudes that drive weight stigma, 236 setting the stage for a productive discussion with people with overweight or obesity. Therefore, a sixth A might be added to the five above, namely, Acknowledgement that obesity is a chronic disease.

Sidebar: Bringing the patient's family into the discussion

For pediatric patients and others, 253 , 254 understanding the home setting may be key to helping the individual achieve and maintain weight loss. Family support can be a crucial resource. Conversely, shaming or lack of support may foster internalized stigma 236 and a psychological barrier to addressing weight issues and improving physical and mental health.

The clinician should therefore attempt to bring the patient's family into discussions about root causes of their unhealthy weight, the barriers they experience, and the individualized targets they have set. In a Malay community study, family‐based interventions that combined face‐to‐face training sessions and social media were effective at reducing child adiposity. 255 Constructive family involvement may also be appropriate in the patient's interactions with allied healthcare practitioners, such as dieticians.

Family counseling may be considered if all parties are open to the possibility.

4. DISCUSSION

This review documents a new consensus on the care and management of obesity in South and Southeast Asia in the form of 42 recommendations that address issues around staging, treatment, and maintenance of weight loss. While the focus is on clinical care, the contributing faculty also offered insights and strategies regarding the important and related issues of weight stigma and patient engagement, and—particularly where families are involved—tertiary prevention approaches. Each of these elements is contextualized in the South and Southeast Asian setting.

4.1. Achieving consensus

The treatment recommendations are presented in Table 7. For all 42 of these statements, our panel of South and Southeast Asian obesity specialists achieved consensus on the wording shown. Indeed, approval was unanimous for all but one of the treatment recommendations.

TABLE 7.

Consensus recommendations for care and management of obesity in South and Southeast Asia

Question 1: How is obesity defined and what are the diagnostic criteria in adults and children?
  • 1

    Clinicians should recognize and treat obesity as a chronic, progressive, relapsing disease.

  • 2

    Given that disease risk associated with obesity varies by ethnicity, clinicians should measure BMI and apply the BMI cut points adopted by each country to assess excess adiposity in adults.

  • 3

    To confirm excess abdominal adiposity in adults, clinicians should measure WC and apply the WC cut points adopted by each country.

  • 4

    For adults approaching but not meeting BMI‐ or WC‐based criteria for overweight or obesity, clinicians should clarify the individual's long‐term health risks from excess adiposity by screening for obesity‐related complications.

  • 5

    To assess excess adiposity in children and adolescents, clinicians should refer to BMI growth charts specific for the individual's country, age, and sex. In addition, waist–height ratio ≥0.5 can be used to identify adolescents at risk of obesity‐related metabolic abnormalities. a

  • 6

    For children approaching but not meeting criteria for overweight or obesity, clinicians should clarify the child's long‐term health risks from excess adiposity by screening for obesity‐related complications.

Question 2: What are the key elements of initial work‐up for patients with obesity?
  • 7

    For people with overweight or obesity, clinicians should conduct a comprehensive clinical assessment to identify obesity‐related complications, health risks, and potential barriers to treatment, as well as explore factors that may have contributed to the individual's unhealthy weight.

Question 3: What gradations of severity should be used for screening and monitoring adults and children with obesity?
  • 8

    Clinicians should apply a recognized obesity staging system such as the Edmonton Obesity Staging System to assess the severity of obesity in adults and guide clinical treatment.

  • 9

    Clinicians caring for children with obesity may consider using the Edmonton Obesity Staging System for Pediatrics tool to assess severity and guide clinical treatment.

Question 4: What are the goals of obesity treatment?
  • 10

    Weight loss of 5–15% over a period of 6 months represents a realistic short‐term weight loss goal in adults depending on the goals of treatment and the severity of obesity, as determined using a recognized obesity staging system. Initial weight loss should be followed by long‐term weight maintenance.

  • 11

    Clinicians should work with their patients to set individualized weight loss targets, based on clearly stated treatment goals.

  • 12

    Initial therapy should be tailored to the severity of the individual's obesity and obesity‐related complications.

  • 13

    Treatments implemented should be assessed periodically, in line with the goals of obesity treatment, and may be intensified or de‐intensified accordingly.

Question 5: How should multidisciplinary collaborative care be optimally structured for patients with obesity?
  • 14

    A multidisciplinary approach to obesity management should be used where possible to support and maintain weight loss.

Question 6: What are the indications for initiating/recommending lifestyle therapy in adults and children? What are the current treatment options?
  • 15

    A comprehensive lifestyle intervention program that includes diet modification, increased physical activity, and behavior modification is fundamental in obesity management.

  • 16

    An individualized dietary intervention that reduces overall calorie intake by at least 500 kcal/day, with sufficient protein, vitamins, and minerals, is recommended for initial weight loss and maintenance in adults.

  • 17

    When selecting a dietary intervention, healthcare professionals should take into consideration the individual's motivation, personal and cultural preferences, and associated complications.

  • 18

    To optimize health and prevent disease, clinicians should encourage adults with overweight or obesity to devote 30–60 min per day to moderate‐intensity aerobic exercise, at least 5 days per week (≥150 min per week). In addition:

  • Longer or more intensive exercise (200–300 min per week of moderate‐intensity activity or ≥150 min per week of vigorous activity), alongside dietary modification, may be needed to promote and maintain weight loss

  • Resistance exercises, 2–3 times per week, should be encouraged to enhance muscular strength and physical function.

  • 19

    Activity interventions should be gradually increased over time to reach a target level and tailored to the individual's age, current level of function and physical fitness, and complications/risk factors. When counseling patients on increasing physical activity or entering an exercise program:

  • Clinicians should screen for complications and risk factors

  • Clinicians should identify any physical and/or behavioral barriers to physical activity and consider culturally appropriate activities and strategies to encourage participation.

  • 20

    To prevent and manage childhood obesity, clinicians should work with parents or caregivers to support healthy habits of eating and exercise, including regular meals, limited consumption of energy‐dense snacks, junk food, and sugar‐added beverages, and daily opportunities for vigorous play or other forms of physical activity.

  • 21

    Clinicians should evaluate the effectiveness of lifestyle changes within 3 months. Depending on treatment targets, intensive lifestyle therapy, pharmacotherapy, or surgical referral may be considered for individuals showing minimal weight loss at this time.

Question 7: What are the indications for initiating/recommending psychological and/or behavioral therapy? What are the current treatment options?
  • 22

    Clinicians should recommend behavioral modification in individuals at all stages of overweight or obesity, including those attempting dietary change, those already using pharmacotherapy, and those who have undergone bariatric surgery.

  • 23

    Behavioral interventions may be maintained as long as the individual appears to be benefitting in terms of bodyweight reduction or stabilization, or improved function, cardiovascular health, or quality of life.

  • 24

    Stress, unhealthy sleep habits, social dynamics, and environmental factors that promote obesity should be addressed concurrently, as part of behavioral modification.

  • 25

    For suitable individuals, intensive behavioral interventions may be recommended under the supervision of experienced clinicians.

  • 26

    For suitable individuals, web‐, phone‐, or tablet‐based electronic tools may be recommended as a means of supporting healthful lifestyle changes.

Question 8: What are the indications for initiating/recommending pharmacotherapy for adults and children? What are the current pharmacotherapy options?
  • 27

    Pharmacotherapy may be used as an adjunct therapy to lifestyle modification to improve or maintain weight loss and to control obesity‐related complications.

  • 28

    Clinicians should consider pharmacotherapy in combination with lifestyle therapy for adults with a BMI ≥ 30 kg/m2 or BMI ≥ 27 kg/m2 with at least one obesity‐related complication, especially for people:

  • Who require more urgent weight loss, owing to more severe obesity

  • Who require a greater amount of weight loss to manage inadequately controlled obesity‐related complications

  • Who are unable to achieve or maintain adequate weight loss through lifestyle intervention alone.

  • 29

    Choice of obesity medication should be made with respect to the individual's clinical characteristics and the country‐specific approved labeling of the available products.

  • 30

    Duration of use of obesity medication should be considered with respect to the individual's clinical characteristics, treatment targets, and the country‐specific approved labeling of the available products.

  • 31

    In countries that define obesity as a BMI ≥ 25 kg/m2, use of pharmacotherapy for adults with a BMI of 25–26.9 kg/m2 may be considered on a case‐by‐case basis to help ameliorate obesity‐related complications. Use of pharmacotherapy in these individuals should only be carried out by clinicians experienced in obesity medicine, with close monitoring.

  • 32

    Experienced clinicians may consider antiobesity pharmacotherapy as an adjunct to lifestyle interventions for adolescents with more severe obesity and inadequate weight loss.

Question 9: What are the indications for initiating/recommending procedures and surgery? What are the current options?

  • 33

    Clinicians may recommend bariatric and metabolic surgery according to national guidelines. In countries without national guidance on bariatric and metabolic surgery, clinicians may refer to regional guidelines such as the International Federation for the Surgery of Obesity and Metabolic Disorders Asia Pacific Chapter or the Second Diabetes Surgery Summit guidelines.

  • 34

    Bariatric and metabolic surgery may be used as an adjunct therapy to lifestyle modification, with or without pharmacotherapy, to improve or maintain weight loss and to control obesity‐related complications.

  • 35

    Individuals considering bariatric surgery should be counseled regarding short‐ and long‐term risks, benefits, and outcomes of surgery and the lifelong commitment required to prevent weight regain and should be monitored for nutrient deficiency and obesity‐related complications.

  • 36

    Individuals undergoing bariatric surgery should be managed by an experienced multidisciplinary team comprising the surgeon, a bariatric physician, a dietitian, a physiotherapist/exercise physiologist, and a psychologist or psychiatrist, as well as other local experts, as deemed appropriate.

  • 37

    Individuals undergoing bariatric surgery should be prepared for the likelihood of partial weight regain. All options for supportive care, including pharmacotherapy, should be considered to help maintain weight close to the postsurgical nadir.

Question 10: What strategies are important to consider for long‐term weight reduction/maintenance for adults and children?
  • 38

    Clinicians and individuals with obesity should be aware that weight regain is common after weight loss, including after bariatric surgery.

  • 39

    To minimize weight regain and support weight long‐term maintenance, clinicians should:

  • Regularly monitor their patient's weight

  • Encourage continued use of lifestyle and behavioral interventions

  • Consider extended use of pharmacotherapy.

Question 11: What is obesity stigma and how can it be recognized and addressed in the healthcare setting?
  • 40

    Clinicians should carefully examine their own potential biases regarding people with overweight and obesity and, in the context of their local culture, consciously adopt behaviors that respect the dignity of the individual and language that does not place blame, but motivates the individual to adopt healthier habits.

Question 12: How should patients and families be engaged in a discussion about bodyweight?
  • 41

    Clinicians should seek opportunities to constructively engage with their patient's family to help support the individual reach and maintain treatment targets.

  • 42

    Clinicians should consider the 5As approach when planning their discussions with patients regarding their unhealthy weight.

Abbreviations: BMI, body mass index; WC, waist circumference.

a

For children and adolescents 5–19 years, overweight and obesity correspond to the ≥85th to <95th and ≥95th percentile, respectively, of BMI‐for‐age and sex, or ≥1 and ≥2 standard deviations, respectively, above the World Health Organization 2007 Growth Reference median BMI‐for‐age‐and‐sex.

The sole exception was Recommendation 12, which states that initial therapy should be tailored to the severity of an individual's obesity and obesity‐related complications. In this case, a minority expressed the opinion that lifestyle change must always be attempted first, with pharmacotherapy and surgical approaches reserved as second‐line options. In this view, the attempt at lifestyle change must not be bypassed, although it might be of shorter duration or increased intensity in some high‐needs individuals. Conversely, the majority endorsed the stated position, namely, that pharmacotherapy or bariatric referral may be considered as initial therapeutic approaches for people with severe obesity requiring immediate and substantial weight reduction.

Another point of discussion among the authors was the period used to assess initial therapies for obesity. The group reached consensus that loss of 5–15% over a period of 6 months represents a feasible and clinically appropriate goal for many individuals (Recommendation 10), but some members noted that different weight loss targets might be chosen, depending on clinical goals. Some outcomes, such as T2DM remission, are unrealistic with <10% weight loss, as shown in Table 3. Similarly, the recommended 6‐month window for evaluating success might be reconsidered, depending on the therapeutic approach. Some antiobesity medications, including semaglutide and liraglutide, do not show maximal benefit until after 6 months. 73 , 74 , 256 Therefore, for individuals who respond with the requisite 5% weight loss, it is appropriate to continue treatment and evaluate the full treatment response after 12 months on the maximally tolerated dose.

4.2. A clinical algorithm for obesity

The recommended approach to care and management of obesity is shown schematically in Figure 4. This clinical algorithm is keyed to the various consensus recommendations, and it shows stages where the 5As approach to discussions about obesity are likely to be most relevant. The left side of the figure shows recommendations that clinicians should apply in all clinical interactions. These ongoing clinical practices include encouragement of healthy eating habits and physical activity, to ameliorate or prevent the development of obesity. Similarly, support for healthy lifestyle change and use of respectful, nonstigmatizing language apply at all stages of care to people across the spectrum of bodyweight.

FIGURE 4.

FIGURE 4

Algorithm for managing overweight and obesity in South and Southeast Asian adults. BMI, body mass index; DSS‐II, Second Diabetes Surgery Summit; EOSS, Edmonton Obesity Staging System; IFSO‐APC, International Federation for the Surgery of Obesity and Metabolic Disorders Asia Pacific Chapter; ORC, obesity‐related complication; WC, waist circumference. aFor some countries in the region, also calculate waist‐to‐hip ratio. bIn most South/Southeast Asian countries, overweight is defined by BMI ≥ 23 kg/m2 or WC ≥ 80 cm (women) or ≥90 cm (men). In Brunei Darussalam, overweight is defined as BMI ≥ 25 kg/m2. cCut points for bariatric surgery are based on the IFSO‐APC guidelines for Asian individuals with metabolic syndrome or T2DM. Refer to national guidance, where available. Alternative cut points are recommended in the DSS‐II guidelines (≥32.5 kg/m2 for individuals with poorly controlled T2DM, and ≥37.5 kg/m2 regardless of ORCs)

The right side of the algorithm proceeds from the initial identification of overweight or obesity, through clinical assessment, treatment, and monitoring. Adults meeting the definition of overweight require a full clinical assessment, including physical examination and patient history, as well as laboratory assessments. In most South/Southeast Asian countries, overweight is defined by BMI ≥ 23 kg/m2 or WC ≥ 80 cm (women) or ≥90 cm (men), whereas in Brunei Darussalam, overweight is defined by BMI ≥ 25 kg/m2. Assessment may also be appropriate in those who are approaching but not meeting these cut points, or displaying signs and symptoms of obesity‐related complications regardless of BMI/WC.

Obesity staging, using a recognized system such as the EOSS, 64 will identify clinical concerns and possible barriers to treatment success and will aid in the setting of individualized treatment targets, which the individual should understand and agree to. Lifestyle and behavioral interventions are always recommended and may be applied alone, particularly for those with less extreme obesity and no evident complications. A 3‐month trial is appropriate in this case. However, pharmacotherapy or surgery, as well as supervised intensive dietary interventions, may be considered earlier for some people, based on their BMI and complications. Reassessment of weight and complications should be scheduled on a regular basis, after which interventions may be intensified or deintensified. Those who reach their treatment target will require ongoing support, and sometimes extended treatment to maintain their initial weight loss. For individuals with no obesity‐related complications, periodic and ongoing assessment should be conducted to identify complications early in their development.

This approach to obesity management is described above in greater detail. In general, it applies across South and Southeast Asia, although the context of care differs greatly among the various countries in this large and diverse region.

4.3. Toward a unified approach to combat obesity

Over and above the clinical guidance described above, the countries of South and Southeast Asia require a whole‐systems approach to obesity, emphasizing primary and secondary prevention. Coordinated action is needed to increase public awareness, address food security, encourage healthful habits and early life nutrition, and improve access to care for people with overweight or obesity. In light of the paucity of tools for managing obesity in the region, policies and healthcare resources should prioritize training of healthcare professionals and multidisciplinary teams, including in the use of tools such as VLCDs and intensive behavioral therapy, as well as improved access to pharmacotherapy.

In line with the ASEAN sustainable development goals, 257 , 258 , 259 several countries have established programs aimed at improving nutrition and dietary patterns and increasing physical activity. For example, Singapore has introduced the Healthy Meals in Schools Program and National Steps Challenge. 260 , 261 Malaysia has mandated nutrition labeling and introduced taxes on sugar‐sweetened beverages. 11 , 262 Interventions to support breastfeeding have been implemented by each ASEAN member state. 259 Elsewhere in Asia, a comprehensive national strategy for obesity prevention and control has been recently proposed in China. 263 Notwithstanding the geopolitical differences across the region, elements of this effort should be studied and might be adapted for use in South and Southeast Asia. Given the scale of the problem, ambitious programs are needed at a national and regional level to prevent obesity and minimize its medical, financial, and personal costs.

Clinicians, who see firsthand the impact that obesity can have on their patients, can and should be at the forefront of these efforts. The Consensus presented here represents an aggregated view from leaders across the region, providing an essential tool for improving care and management of obesity in this part of Asia. For the benefit of those living with obesity, physician advocacy is no less essential, to promote obesity prevention and attitudinal change, as well as improved access to care.

CONFLICT OF INTEREST

KWT has disclosed receiving scientific advisory board fees, honoraria and consulting fees from Novo Nordisk, and an honorarium from DKSH Singapore. RAG has received research funding from AstraZeneca, Medtronic, Boehringer Ingelheim and Novo Nordisk, and sponsorship in the form of travel grants from AstraZeneca, Medtronic, Servier, Boehringer Ingelheim, MSD, Novo Nordisk, Novartis, and Eli Lilly. RAG has also received sponsorships for Continuous Medical Education for healthcare providers from Novo Nordisk, and has been involved in clinical trials with Johnson & Johnson, Boehringer Ingelheim, Bayer and AstraZeneca. RAG is currently involved as an investigator on multicentre clinical trials with Novo Nordisk. TN has disclosed receiving scientific advisory board fees from Novo Nordisk, Sanofi, Astra Zeneca, and Boehringer Ingelheim Viet Nam, and honoraria for acting as a speaker for Novo Nordisk, Sanofi, AstraZeneca, Boehringer Ingelheim, Novartis, MSD, and Merck Serono. NS has disclosed that he has received an honorarium for acting as a speaker for Novo Nordisk. BO has received consulting fees and honoraria from Novo Nordisk not related to this publication.

ACKNOWLEDGMENTS

Financial support from Novo Nordisk Business Area South East Asia, provided as an unrestricted grant to the Asia‐Oceania Association for the Study of Obesity (AOASO), is gratefully acknowledged. All interpretations and opinions expressed here are strictly those of the authors. Open access publishing facilitated by Monash University, as part of the Wiley ‐ Monash University agreement via the Council of Australian University Librarians.

APPENDIX A.

TABLE A1.

Prevalence of obesity in South and Southeast Asian countries. Adapted from the World Obesity Federation Global Obesity Observatory 8

Country Population (age, years) Obesity prevalence (%) (year assessed) Prevalence by sex (%)
Bangladesh

Adults

(18–69)

5.4 (2018) Women: 8.6
Men: 2.3

Children

(10–19)

7.02 (2018–19) Girls: 8.0
Boys: 6.0
Brunei Darussalam

Adults

(18–69)

28.2 (2015–16) Women: 29.5
Men: 26.9

Children

(13–17)

18.1 (2019) Girls: 15.3
Boys: 20.9
India

Adults

(15–49)

5.5 (2019–20) Women: 6.3
Men: 4.7

Children

(5–9)

1.3 (2018) Girls: 0.9
Boys: 1.8
Indonesia

Adults

(18+)

5.6 (2013) Women: 8.2
Men: 3.0

Children

(13–17)

4.6 (2015) Girls: 3.6
Boys: 5.4
Malaysia

Adults

(18+)

19.7 (2019) Women: 24.7
Men: 15.3

Children

(5–17)

14.8 (2019) Girls: 12.0
Boys: 17.5
Country Population (age, years) Obesity prevalence (%) (year assessed) Prevalence by sex (%)
Philippines

Adults

(20+)

6.9 (2015) Women: 8.7
Men: 5.0

Children

(13–17)

3.7 (2019) Girls: 3.1
Boys: 4.3
Singapore

Adults

(18–74)

10.5 (2019–20) Women: 9.3
Men: 11.9
Children 13.0 (2017) Girls: 3.0 a
Boys: 6.1 a
Sri Lanka

Adults

(18–69)

5.9 (2014–15) Women: 8.4
Men: 3.5

Children

(13–15)

0.5 (2008) Girls: 0.6
Boys: 0.4
Thailand

Adults (15+)

Adults (20+)

11.6 (2018)

9.0 (2009)

Women: 12.0 b
Men: 7.0 b

Children

(6–18)

7.3 (2016) Girls: 5.2
Boys: 9.9
Viet Nam

Adults

(18–69)

1.7 (2015) Women: 1.7
Men: 1.7

Children

(11–14)

5.4 (2018) Girls: 3.2
Boys: 7.6

Note: Obesity in adults defined as >30 kg/m2. Obesity in children defined by country‐specific cut points.

a

Data from 1993 and extrapolated from a study of 5350 10‐year‐olds; note that the 2017 study did not present prevalence of obesity in boys and girls separately.

b

Based on data from 2009; note that the 2018 study did not present prevalence of men’s and women’s obesity separately.

TABLE A2.

Components of patient history for individuals with obesity. Adapted from Obesity Canada Clinical Practice Guidelines Expert Panel: Assessment of people living with obesity 21 and MIMS 271

History History component Details Notes
Medical Underlying medical
  • Medical and surgical history

  • Medications

  • Allergies

  • Underlying diseases/conditions that could impact weight loss or physical activities

Weight history
  • Age of weight gain onset and major weight trajectories over time
  • Previous weight loss interventions/treatments and results
  • Major life event(s) associated with weight gain e.g., with pregnancy, after illness or stress event
  • Nutritional/weight status as a child
  • Can help to understand patient journey, causes of weight gain/loss in the past, childhood versus adult obesity

  • Can help to prevent future weight gain and target treatment

  • Can help to make appropriate goals; consider charting weight trend with life events

  • Child status: small or large weight‐for‐dates (both are risk factors for obesity in childhood and adulthood); maternal gestational diabetes, Cushing’s disease, or hypothalamic tumors

Exclude secondary causes of obesity
  • Weight‐promoting medications
  • Genetic disorders
  • Endocrine disorders
  • Refer to Rueda‐Clausen et al. 2021 for a full list of weight‐promoting medications

  • E.g., Prader‐Willi syndrome

  • E.g., Cushing’s disease, Hypothyroidism

Mental health assessment
  • Patient’s body image and self‐esteem

  • Depression and other mood disorders

  • Anxiety

  • Chronic stress

  • Psychosocial barriers

  • Consider using the PHQ‐9

  • GAD

Abuse
  • Previous or current physical, psychological, and sexual abuse

Social

Nutrition, activity, lifestyle, culture, environment

Dietary/nutrition history
  • Assess diet habits and energy intake

  • Assess nutrition literacy

  • Identify nutritional restrictions

  • Divergence from traditional to Western diet

  • Possible knowledge deficit

  • Cultural, medical e.g., vegetarianism, food allergies, and intolerances (notably lactose intolerance)

Eating patterns
  • Identify possible eating disorder

  • E.g., binge‐eating disorder, emotional eating, mindless eating, night‐eating syndrome, bulimia

Physical activity
  • Current physical activities

  • Time spent in sedentary activities

  • Barriers to activity

  • Social and cultural factors limiting/restricting access to activities

  • Frequency and nature

  • E.g., screen time

  • E.g., pain, time, motivation

  • See below

Addiction/

dependency

  • Smoking history

  • Alcohol consumption

  • High‐fat / high‐sugar food or beverages

  • Substance abuse

  • Including smoking cessation
  • Consider using the Yale Food Addiction Scale
  • Consider binge‐eating scales, such as EDEQ, BES, or BEDS‐7
Sleep hygiene
  • Hours of sleep per night
  • Use of sleeping medications
  • Sleep apnea–hypopnea screening
  • Sleep quality
  • Signs of break in circadian cycle (e.g., night shifts)

  • Consider using the STOP BANG Sleep Apnea Questionnaire

Social/cultural
  • Age, sex, ethnicity, marital status
  • Family responsibilities and commitments
  • Occupation and work schedule
  • Education
  • Socioeconomic status
  • Cultural attitudes to body weight and exercise
  • E.g., living with extended family in the same household, living with other family members with overweight/obesity

  • Hours, variable shift work, night work

  • Identify possible knowledge deficit

  • Lack of access to a healthy diet or recreational physical activities

  • Societal preference for overweight; negative stigma towards exercise (more priority placed on academics, occupation, or familial duties than athletic / recreational activities)

Environmental
  • Local food systems

  • Exposure to endocrine‐disrupting chemicals such as plasticizers and pesticides

  • Availability of affordable, high‐quality, diverse food choices

Family Family medical history
  • Relatives with overweight / obesity or obesity‐related complications

  • E.g., family history of obesity, CVD, hypertension, T2DM, dyslipidemia, premature strokes, and death (<55 years of age), thyroid disease, obesity‐related cancer

Abbreviations: BEDS‐7, seven‐item Binge‐Eating Disorder Screener; BES, Binge‐Eating Scale; CVD, cardiovascular disease; EDEQ, Eating Disorder Examination Questionnaire; GAD, generalized anxiety disorder; PHQ‐9, Patient Health Questionnaire 9; T2DM, type 2 diabetes mellitus.

TABLE A3.

Elements of a physical examination for patients with obesity. Adapted from Obesity Canada Clinical Practice Guidelines Expert Panel: Assessment of people living with obesity 21 and MIMS 271

Exam Details Notes
Anthropometry
  • Weight
  • Height
  • Waist circumference
  • BMI
  • Note stunted growth, evidence of malnutrition in childhood
  • Measured to the nearest 0.1 kg
  • Measured to the nearest 1 cm
  • Measured to the nearest 1 cm, at the midpoint between the

anterior superior iliac crest and the lower margin of the last

rib, in a horizontal plane
  • Use ethnic‐specific cut points for increased health risk and
obesity
  • Waist–hip ratio may be used in some countries in preference to WC 132 and may also be used in countries without national data 132
  • Calculated as BMI = weight (kg)/[height (m)]2. Use ethnic‐specific BMI cut‐off points for overweight and obesity
  • BMI percentile or SD for age is used in children <19 years to determine healthy weight status
Blood pressure
  • Both arms

  • Screen for hypertension or prehypertension

  • Use appropriate size cuff

Head and neck
  • Neck circumference

  • Thyroid exam

  • Signs of Cushing’s syndrome

  • Signs of androgen excess in females

  • Risk of sleep apnea

Cardiorespiratory
  • Heart rate and rhythm

  • Signs of heart failure

Gastrointestinal
  • Liver span

  • Umbilical, incisional hernias

  • Signs of chronic liver disease (MAFLD)

Musculoskeletal
  • Osteoarthritis

  • Gout

  • Gait exam

  • Assess for barriers to mobility

Skin
  • Acanthosis nigricans as a sign of insulin resistance

  • Hidradenitis suppurativa

  • Candida, intertrigo, tinea, skin tags, psoriasis

  • Abdominal striae

  • Hirsutism in females

  • Striae in abdomen and other body parts like breast, inguinal areas, and thighs

Lower limbs
  • Lymphedema

  • Lipedema

  • Venous insufficiency, ulcers, stasis, thrombophlebitis

Other
  • Signs of hypogonadism

  • Signs of dysmorphism

  • Signs of precocious puberty in children

Abbreviations: BMI, body mass index; MAFLD, metabolic associated fatty liver disease; SD, standard deviation.

TABLE A4.

Laboratory and diagnostic tests for patients with obesity. Adapted from Obesity Canada Clinical Practice Guidelines Expert Panel: Assessment of people living with obesity, 21 Yumuk, 23 and MIMS 271

Indication Test Notes
Minimum testing for most patients
  • Blood pressure

  • Fasting blood glucose, HbA1c

  • Lipid profile (total cholesterol, HDL‐ and LDL‐cholesterol, triglycerides)

  • Renal function (creatinine, eGFR)

  • Screen for metabolic syndrome

  • Liver function (alanine aminotransferase)

  • Uric acid level

  • Screen for MAFLD

  • Screen for gout

When indicated
  • Cortisol (e.g., overnight dexamethasone suppression test)
  • Thyroid function (TSH levels)
  • Cardiovascular assessment (ECG, ECHO, stress test)
  • Further liver investigation (full liver function test, abdominal ultrasound, FibroScan, or biopsy)
  • Urinalysis for microalbuminuria/proteinuria
  • Polysomnography or other sleep studies
  • Tests for menstrual irregularity/disturbance (LH, FSH, total testosterone, DHEAS, prolactin, 17 hydroxyprogesterone levels)
  • Nutritional deficiency (vitamin D, iron studies, serum B12)
  • Endoscopy
  • Cancer screening (age‐dependent)
  • Cranial magnetic resonance imaging (screen for hypothalamic‐pituitary tumor (e.g., hypothalamic hamartoma, craniopharyngioma)
  • Chromosomal tests and genetic studies in children
  • In patients with signs of Cushing's syndrome
  • In patients with signs of an enlarged thyroid gland
  • In patients with risk factors
  • If abnormal liver function tests suggest MAFLD
  • In patients at risk for sleep apnea (high neck circumference, high STOP BANG score, suggestive signs and symptoms)
  • In women with obesity and symptoms of PCOS
  • In patients with a diagnosis of GERD if symptoms cannot be controlled by pharmacotherapy
  • In patients with dysmorphic features and signs of syndromes such as Prader‐Willi syndrome

Abbreviations: DHEAS, dehydroepiandrosterone sulfate; ECG, electrocardiogram; ECHO, echocardiogram; eGFR, estimated glomerular filtration rate; FSH, follicle‐stimulating hormone; GERD, gastroesophageal reflux disease; HbA1c, glycated hemoglobin; HDL, high‐density lipoprotein; LDL, low‐density lipoprotein; LH, luteinizing hormone; MAFLD, metabolic associated fatty liver disease; PCOS, polycystic ovary syndrome; TSH, thyroid‐stimulating hormone.

TABLE A5.

Dietary intervention Description Efficacy for weight loss Additional notes

Energy‐based approach

(caloric restriction)

Nutritionally balanced diets that provide a daily energy intake goal

Usually prescribe moderate‐fat intake

Varying levels of structure, including use

of meal replacements

Hypocaloric balanced diet (moderate calorie restriction)
  • Nutritionally balanced diet that reduces calorie intake by >500 kcal/day

  • A diet of 1200–1500 kcal/day for women and 1500–1800 kcal/day for men can usually achieve this goal

  • Modest weight loss of approximately 0.5 kg/week (1–2 lb/week)

  • Follows current nutrition recommendations

  • Moderate reduction in total fat (≤30% of total calories), carbohydrates (55–60%), and protein (15–20%)

  • Emphasis on reducing saturated fats, increasing fiber‐rich foods and whole grains

  • Healthy meal planning and portion control recommended

Low‐calorie diet (LCD)
  • Diet providing an intake of 800–1200 kcal/day

  • At 6 months, participants prescribed 1000 kcal/day lost more weight than those prescribed 1500 kcal/day (mean ± SE = −10.03 ± 0.92 kg versus −6.23 ± 0.94 kg, P=0.045); however, by 12 months the 1000 kcal/day participants experienced significant weight regain (1.51 ± 0.77 kg, P=0.025)

  • 7–8% reduction in total body weight reported with partial meal replacement (2.43 kg greater weight loss at 1 year than with a conventional reduced calorie diet)

  • Partial use of meal replacements or structured meal planning and portion control may be required to avoid micronutrient deficiencies and achieve targets

  • LCDs achieve short‐term weight loss but weight regain likely

  • May require dietary supplements

Very low‐calorie diet (VLCD)
  • Diet that provides an intake of ≤800 kcal/day

  • For patients with a BMI 27–30 kg/m2 with complications, severe obesity prior to bariatric surgery, or moderate to severe obesity that has not responded to other dietary interventions

  • Short‐term (12–16 weeks maximum); can be extended or used intermittently

  • Initial weight loss of 16.1 ± 1.6% at 4 months, although at >1 year follow‐up, weight loss was similar to an LCD (VLCD, −6.3 ± 3.2%; LCD, −5.0 ± 4.0%)

  • Requires consumption of meal replacements as part of a structured program and close monitoring by an experienced physician, nutritionist, or dietician

  • Large initial weight loss but specific interventions may be required to support weight maintenance long term

  • Intermittent use has been shown to support sustained longer‐term weight loss

  • Not recommended for children, adolescents, pregnant or lactating women, the elderly, more severe CKD

  • Can be recommended for rapid weight loss in those with poorly controlled ORCs in the short‐term to control these ORCs

Macronutrient‐based approach

Diets that target one macronutrient

Targeting one macronutrient also leads to changes in other macronutrients

Low carbohydrate (LC)

Very low carbohydrate (VLC) /

ketogenic

  • LC: Reduced carbohydrate intake (20–40% of total energy intake), with no restrictions on other macronutrients (protein 25–40%; fat 30–55%)

  • VLC: <20% carbohydrate; usually an initial period of 20 g/day for up to 3 months, followed by steady re‐introduction (up to 50 g/day) until stable weight achieved

  • Weight loss may also occur through ketotic acidosis and appetite suppression

  • A practical strategy for reducing calories for some patients

  • A network meta‐analysis comparing various macronutrient‐based interventions showed significant weight loss with any LC diet (median difference in weight loss compared with no diet 8.73 kg [95% CI: 7.27 to 10.20 kg] at 6‐month follow‐up and 7.25 kg [95% CI: 5.33 to 9.25 kg] at 12‐month follow‐up)

  • No differences were observed at 6 or 12 months of follow‐up between diets targeting different macronutrients

  • A study comparing VLC consumption (20 g/day for 3 months) with an energy restricted low‐fat diet (<30% calories from fat) showed no difference in weight loss between the two diets

  • Effective and safe in the short term but no long‐term safety and efficacy studies. Long‐term adherence can be an issue

  • May lead to high intake of saturated fat and cholesterol

  • Use with caution in patients with osteoporosis, kidney disease or high LDL‐cholesterol, established CVD/T2DM, or high risk of CVD

  • Can lead to deficiencies in vitamin A, B1, B6, folate, C, and E, and minerals including magnesium, potassium, calcium, and iron

Low fat/very low fat
  • Reduced fat consumption (<10–19% of total energy intake), leading to decreased energy intake

  • Diet typically based on high complex carbohydrates (fruits, vegetables, and whole grains), beans, and non‐fat dairy

  • A practical strategy for reducing calories for some patients

  • A network meta‐analysis comparing various macronutrient‐based interventions showed significant weight loss with any low‐fat diet (7.99 kg [95% CI: 6.01 to 9.92 kg] at 6‐month follow‐up and 7.27 kg [95% CI: 5.26 to 9.34 kg] at 12 months follow‐up)

  • No differences were observed at 6 or 12 months of follow‐up between diets targeting different macronutrients

  • Healthy meal planning recommended to avoid protein deficiency

  • Can lead to deficiencies in fat‐soluble vitamins, vitamin B12, and zinc

Dietary patterns

Diets that focus on which types of food to consume and on improving overall diet quality

A specific dietary pattern may be considered for certain patient groups

Cultural differences and preferences will play a role in adoption and adherence

Low GI
  • Replacing high GI foods with low GI foods (vegetables, fruits, legumes, dairy, etc.)

  • No standard definition

  • A low‐GI diet produced more weight loss compared with conventional diets (weighted mean difference −1.1 kg, 95% CI: −2.0 to −0.2, P<0.05)

  • Limited efficacy without energy restriction; not recommended for weight loss on its own

  • May be considered for patients with IR/pre‐T2DM/T2DM

DASH
  • Dietary pattern emphasizing fruits, vegetables, whole grains, pulses, nuts, legumes, seeds, low‐fat dairy, lean meats, and low consumption of salt, red and processed meats, sweets, caffeine, and alcohol

  • In the PREMIER clinical trial, DASH (together with behavior lifestyle intervention) reduced weight by 5 kg over 6 months

  • A systematic review and meta‐analysis demonstrated that DASH led to significant weight loss, particularly when combined with energy restriction (weighted mean difference = −1.42 kg, 95% CI: −2.03 to −0.82) in 8–24 weeks compared with controls)

  • Energy restriction required for weight loss

  • May be considered for patients with HTN and CVD

Mediterranean
  • Dietary pattern that focuses on plant‐based foods (fruit and vegetables, whole grains and pulses, nuts, and seeds); extra virgin olive oil as the main source of fat; moderate consumption of dairy, eggs, poultry, fish, and seafood; low consumption of red meat; moderate intake of wine

  • A moderate‐fat, calorie‐restricted, Mediterranean diet produced an overall weight change at 24 months of −4.4 ± 6.0 kg

  • In the PREDIMED study (energy‐unrestricted Mediterranean diet), minimal effect on body weight was observed over a median of 4.8 years follow‐up

  • Energy restriction required for weight loss

  • May be considered for patients with MAFLD, pre‐T2DM and T2DM

Vegetarian
  • Plant‐based dietary pattern (lacto‐ovo vegetarian, lacto vegetarian, vegetarian, vegan)

  • Vegetarian dietary patterns significantly reduced body weight (mean difference = −2.15 kg [95% CI: −2.95 to −1.34 kg]), BMI (mean difference = −0.74 kg/m2 [95% CI: −1.09 to −0.39 kg/m2]) and waist circumference (mean difference = −2.86 cm [95% CI: −3.76 to –1.96 cm])

Intermittent fasting
  • Regular periods of no or very restricted intake (<25% of caloric need)

  • Also referred to as alternate‐day fasting, reduced meal frequency, and time‐restricted feeding

  • Time‐restricted feeding or intermittent fasting shown to be as efficacious as conventional LCD

  • Can be recommended as a dietary intervention for those who are suitable

Abbreviations: BMI, body mass index; CI, confidence interval; CKD, chronic kidney disease; CVD, cardiovascular disease; DASH, Dietary Approaches to Stop Hypertension; GI, glycemic index; HTN, hypertension; IR, insulin resistance; LC, low carbohydrate; LCD, low‐calorie diet; LDL, low‐density lipoprotein; MAFLD, metabolic associated fatty liver disease; ORC, obesity‐related complication; SE, standard error; T2DM, type 2 diabetes mellitus; VLC, very low carbohydrate; VLCD, very low‐calorie diet.

Tham KW, Abdul Ghani R, Cua SC, et al. Obesity in South and Southeast Asia—A new consensus on care and management. Obesity Reviews. 2023;24(2):e13520. doi: 10.1111/obr.13520

Funding information Unrestricted Educational Grant by Novo Nordisk Business Area South East Asia

REFERENCES

  • 1. Shekar M, Popkin B. Obesity: Health and Economic Consequences of an Impending Global Challenge. Human Development Perspectives Series. Washington, DC: World Bank; 2020. [Google Scholar]
  • 2. World Health Organization . Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed March 2022.
  • 3. Lobstein T, Brinsden H, Neveux M. World Obesity Atlas 2022. https://www.worldobesityday.org/assets/downloads/World_Obesity_Atlas_2022_WEB.pdf. Accessed March 2022.
  • 4. Lear SA, James PT, Ko GT, et al. Appropriateness of waist circumference and waist‐to‐hip ratio cutoffs for different ethnic groups. Eur J Clin Nutr. 2010;64(1):42‐61. [DOI] [PubMed] [Google Scholar]
  • 5. WHO Expert Consultation . Appropriate body‐mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157‐163. [DOI] [PubMed] [Google Scholar]
  • 6. Misra A. Ethnic‐specific criteria for classification of body mass index: a perspective for Asian Indians and American Diabetes Association Position Statement. Diabetes Technol Ther. 2015;17(9):667‐671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Caleyachetty R, Barber TM, Mohammed NI, et al. Ethnicity‐specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population‐based cohort study. Lancet Diabetes Endocrinol. 2021;9(7):419‐426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. World Obesity Federation . Global Obesity Observatory. https://data.worldobesity.org/. Accessed June 2022.
  • 9. Venkatrao M, Nagarathna R, Majumdar V, et al. Prevalence of obesity in India and its neurological implications: a multifactor analysis of a nationwide cross‐sectional study. Ann Neurosci. 2020;27:153‐161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Okunogbe A, Nugent R, Spencer G, et al. Economic impacts of overweight and obesity: current and future estimates for eight countries. BMJ Glob Health. 2021;6(10):e006351. doi: 10.1136/bmjgh-2021-006351 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Economist Intelligence Unit . Tackling obesity in ASEAN: prevalence, impact, and guidance on interventions. 2017. https://www.evolveasia.org/wp-content/uploads/2019/11/EIU_Tackling-Obesity-in-ASEAN_Final-Report.pdf. Accessed May 2022.
  • 12. World Health Organization . Preventing and managing the global epidemic. WHO Technical Report Series 894. 2000. [PubMed]
  • 13. Lobstein T. 2021. www.worldobesityday.org/assets/downloads/COVID-19-and-Obesity-The-2021-Atlas. Accessed March 2022.
  • 14. Hills AP, Arena R, Khunti K, et al. Epidemiology and determinants of type 2 diabetes in South Asia. Lancet Diabetes Endocrinol. 2018;6:966‐978. [DOI] [PubMed] [Google Scholar]
  • 15. Popkin BM, Adair LS, Ng SW. The global nutrition transition: the pandemic of obesity in developing countries. Nutrition Rev. 2012;70:3‐21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Kelly M. The nutrition transition in developing Asia: dietary change, drivers and health impacts. In: Jackson P, Spiess W, Sultana F, eds. Eating, Drinking: Surviving. Springer Briefs in Global Understanding; 2016. [Google Scholar]
  • 17. Abdullah A. The double burden of undernutrition and overnutrition in developing countries: an update. Curr Obes Rep. 2015;4(3):337‐349. doi: 10.1007/s13679-015-0170-y [DOI] [PubMed] [Google Scholar]
  • 18. Popkin BM, Corvalan C, Grummer‐Strawn LM. Dynamics of the double burden of malnutrition and the changing nutrition reality. Lancet. 2020;395(10217):65‐74. doi: 10.1016/S0140-6736(19)32497-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. World Health Organization . Double burden of malnutrition. www.who.int/nutrition/doubleburden-malnutrition/en/. Accessed March 2022.
  • 20. Mechanick JI, Hurley DL, Garvey WT. Adiposity‐based chronic disease as a new diagnostic term: The American Association of Clinical Endocrinologists and American College of Endocrinology position statement. Endocr Pract. 2017;23(3):372‐378. doi: 10.4158/EP161688.PS [DOI] [PubMed] [Google Scholar]
  • 21. Obesity Canada Clinical Practice Guidelines Expert Panel . Assessment of people living with obesity. 2020. https://obesitycanada.ca/guidelines/assessment. Accessed February 2022.
  • 22. Bray GA, Kim KK, Wilding JPH, et al. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes Rev. 2017;18(7):715‐723. doi: 10.1111/obr.12551 [DOI] [PubMed] [Google Scholar]
  • 23. Yumuk V, Tsigos C, Fried M, et al. European guidelines for obesity management in adults. Obes Facts. 2015;8(6):402‐424. doi: 10.1159/000442721 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Pi‐Sunyer FX. Health implications of obesity. Am J Clin Nutr. 1991;53(6 Suppl):1595s‐1603s. doi: 10.1093/ajcn/53.6.1595S [DOI] [PubMed] [Google Scholar]
  • 25. Deurenberg P, Yap M, van Staveren WA. Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord. 1998;22(12):1164‐1171. doi: 10.1038/sj.ijo.0800741 [DOI] [PubMed] [Google Scholar]
  • 26. Deurenberg‐Yap M, Schmidt G, van Staveren WA, et al. The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore. Int J Obes Relat Metab Disord. 2000;24(8):1011‐1017. doi: 10.1038/sj.ijo.0801353 [DOI] [PubMed] [Google Scholar]
  • 27. Gurrici S, Hartriyanti Y, Hautvast JG, et al. Relationship between body fat and body mass index: differences between Indonesians and Dutch Caucasians. Eur J Clin Nutr. 1998;52(11):779‐783. doi: 10.1038/sj.ejcn.1600637 [DOI] [PubMed] [Google Scholar]
  • 28. Yajnik CS, Yudkin JS. The Y‐Y paradox. Lancet. 2004;363(9403):163. doi: 10.1016/S0140-6736(03)15269-5 [DOI] [PubMed] [Google Scholar]
  • 29. World Health Organization . The Asia Pacific perspective: redefining obesity and its treatment. 2000. https://apps.who.int/iris/handle/10665/206936. Accessed October 2021.
  • 30. Khoo CM, Leow MK, Sadananthan SA, et al. Body fat partitioning does not explain the interethnic variation in insulin sensitivity among Asian ethnicity: the Singapore adults metabolism study. Diabetes. 2014;63(3):1093‐1102. doi: 10.2337/db13-1483 [DOI] [PubMed] [Google Scholar]
  • 31. Liew CF, Seah ES, Yeo KP, et al. Lean, nondiabetic Asian Indians have decreased insulin sensitivity and insulin clearance, and raised leptin compared to Caucasians and Chinese subjects. Int J Obes Relat Metab Disord. 2003;27(7):784‐789. doi: 10.1038/sj.ijo.0802307 [DOI] [PubMed] [Google Scholar]
  • 32. Nakayama K, Inaba Y. Genetic variants influencing obesity‐related traits in Japanese population. Ann Hum Biol. 2019;46(4):298‐304. doi: 10.1080/03014460.2019.1644373 [DOI] [PubMed] [Google Scholar]
  • 33. Deurenberg‐Yap M, Chew SK, Lin VF, et al. Relationships between indices of obesity and its co‐morbidities in multi‐ethnic Singapore. Int J Obes Relat Metab Disord. 2001;25(10):1554‐1562. doi: 10.1038/sj.ijo.0801739 [DOI] [PubMed] [Google Scholar]
  • 34. Lin WY, Lee LT, Chen CY, et al. Optimal cut‐off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord. 2002;26(9):1232‐1238. doi: 10.1038/sj.ijo.0802040 [DOI] [PubMed] [Google Scholar]
  • 35. Ntuk UE, Gill JM, Mackay DF, et al. Ethnic‐specific obesity cutoffs for diabetes risk: cross‐sectional study of 490,288 UK biobank participants. Diabetes Care. 2014;37(9):2500‐2507. doi: 10.2337/dc13-2966 [DOI] [PubMed] [Google Scholar]
  • 36. Patel SA, Shivashankar R, Ali MK, et al. Is the “South Asian phenotype” unique to South Asians? Comparing cardiometabolic risk factors in the CARRS and NHANES studies. Glob Heart. 2016;11(1):89‐96. doi: 10.1016/j.gheart.2015.12.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Smith MK, Christianto E, Staynor JMD. Obesity and visceral fat in Indonesia: an unseen epidemic? A study using iDXA and surrogate anthropometric measures. Obes Res Clin Pract. 2021;15(1):26‐32. doi: 10.1016/j.orcp.2020.11.003 [DOI] [PubMed] [Google Scholar]
  • 38. Khoo CM, Sairazi S, Taslim S, et al. Ethnicity modifies the relationships of insulin resistance, inflammation, and adiponectin with obesity in a multiethnic Asian population. Diabetes Care. 2011;34(5):1120‐1126. doi: 10.2337/dc10-2097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Misra A, Chowbey P, Makkar BM, et al. Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management. J Assoc Physicians India. 2009;57:163‐170. [PubMed] [Google Scholar]
  • 40. Garvey WT, Mechanick JI, Brett EM, et al. American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Endocr Pract. 2016;22(Suppl 3):1‐203. doi: 10.4158/EP161365.GL [DOI] [PubMed] [Google Scholar]
  • 41. National Institute for Health and Care Excellence (UK) . Preventing type 2 diabetes risk: identification and interventions for individuals at high risk. 2012. https://www.nice.org.uk/guidance/ph38/resources/type-2-diabetes-prevention-in-people-at-high-risk-pdf-1996304192197. Accessed February 2022.
  • 42. American Diabetes Association . Standards for medical care in diabetes. Diabetes Care. 2015;38(Suppl 1):S1‐S94. [Google Scholar]
  • 43. Somasundaram N, Rajaratnam H, Wijeyarathne C, et al. Endocrine Society of Sri Lanka clinical guidelines: management of obesity. Sri Lanka J Diab Endocrinol Metabol. 2014;1:55‐70. [Google Scholar]
  • 44. Dans A, Morales DD, Velandria F. National Nutrition and Health Survey (NNHeS): atherosclerosis‐related diseases and risk factors. Phil J Internal Med. 2005;43:103‐115. [Google Scholar]
  • 45. Department of Science and Technology ‐ Food and Nutrition Research Institute P . Expanded National Nutritional Survey. 2019. http://enutrition.fnri.dost.gov.ph/site/uploads/2019%20ENNS%20Results%20Dissemination_Overview.pdf. Accessed March 2022.
  • 46. World Health Organization . WHO STEPS Surveillance Manual. https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/steps/steps-manual.pdf?sfvrsn=c281673d_7. Accessed September 2022.
  • 47. Wang Y, Rimm EB, Stampfer MJ, et al. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 2005;81(3):555‐563. doi: 10.1093/ajcn/81.3.555 [DOI] [PubMed] [Google Scholar]
  • 48. Obesity in Asia Collaboration , Huxley R, Barzi F, et al. Waist circumference thresholds provide an accurate and widely applicable method for the discrimination of diabetes. Diabetes Care. 2007;30(12):3116‐3118. doi: 10.2337/dc07-1455 [DOI] [PubMed] [Google Scholar]
  • 49. Jayedi A, Soltani S, Zargar MS, et al. Central fatness and risk of all cause mortality: systematic review and dose‐response meta‐analysis of 72 prospective cohort studies. BMJ. 2020;370:m3324. doi: 10.1136/bmj.m3324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Yusuf S, Hawken S, Ounpuu S, et al. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case‐control study. Lancet. 2005;366(9497):1640‐1649. doi: 10.1016/S0140-6736(05)67663-5 [DOI] [PubMed] [Google Scholar]
  • 51. Ashwell M, Gunn P, Gibson S. Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis. Obes Rev. 2012;13(3):275‐286. doi: 10.1111/j.1467-789X.2011.00952.x [DOI] [PubMed] [Google Scholar]
  • 52. Chowdhury B, Lantz H, Sjostrom L. Computed tomography‐determined body composition in relation to cardiovascular risk factors in Indian and matched Swedish males. Metabolism. 1996;45(5):634‐644. doi: 10.1016/S0026-0495(96)90036-0 [DOI] [PubMed] [Google Scholar]
  • 53. Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640‐1645. doi: 10.1161/CIRCULATIONAHA.109.192644 [DOI] [PubMed] [Google Scholar]
  • 54. Tahapary DL, Harbuwono DS, Yunir E, et al. Diagnosing metabolic syndrome in a multi‐ethnic country: is an ethnic‐specific cut‐off point of waist circumference needed? Nutr Diabetes. 2020;10(1):19. doi: 10.1038/s41387-020-0123-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Harbuwono DS, Tahapary DL, Tarigan TJE, et al. New proposed cut‐off of waist circumference for central obesity as risk factor for diabetes mellitus: evidence from the Indonesian Basic National Health Survey. PLoS ONE. 2020;15(11):e0242417. doi: 10.1371/journal.pone.0242417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Centers for Disease Control and Prevention (USA) . Use and interpretation of the WHO and CDC growth charts for children from birth to 20 years in the United States. 2013. http://www.cdc.gov/growthcharts/who_charts.htm. Accessed February 2022.
  • 57. World Health Organization . BMI‐for‐age (5–19 years). https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age. Accessed June 2022.
  • 58. Sivasubramanian R, Malhotra S, Fitch AK, et al. Obesity and metabolic care of children of South Asian Ethnicity in Western society. Children (Basel). 2021;8(6):447. doi: 10.3390/children8060447 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1‐6. doi: 10.1136/bmj.320.7244.1240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Xi B, Zong X, Kelishadi R, et al. International waist circumference percentile cutoffs for central obesity in children and adolescents aged 6 to 18 years. J Clin Endocrinol Metab. 2020;105(4):e1569‐e1583. doi: 10.1210/clinem/dgz195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Chaput JP, Katzmarzyk PT, Barnes JD, et al. Mid‐upper arm circumference as a screening tool for identifying children with obesity: a 12‐country study. Pediatr Obes. 2017;12(6):439‐445. doi: 10.1111/ijpo.12162 [DOI] [PubMed] [Google Scholar]
  • 62. Jebeile H, Kelly AS, O'Malley G, et al. Obesity in children and adolescents: epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol. 2022;10(5):351‐365. doi: 10.1016/S2213-8587(22)00047-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Ehtisham S, Crabtree N, Clark P, et al. Ethnic differences in insulin resistance and body composition in United Kingdom adolescents. J Clin Endocrinol Metab. 2005;90(7):3963‐3969. doi: 10.1210/jc.2004-2001 [DOI] [PubMed] [Google Scholar]
  • 64. Sharma AM, Kushner RF. A proposed clinical staging system for obesity. Int J Obes (Lond). 2009;33(3):289‐295. doi: 10.1038/ijo.2009.2 [DOI] [PubMed] [Google Scholar]
  • 65. Aasheim ET, Aylwin SJ, Radhakrishnan ST, et al. Assessment of obesity beyond body mass index to determine benefit of treatment. Clin Obes. 2011;1(2–3):77‐84. doi: 10.1111/j.1758-8111.2011.00017.x [DOI] [PubMed] [Google Scholar]
  • 66. Kuk JL, Ardern CI, Church TS, et al. Edmonton Obesity Staging System: association with weight history and mortality risk. Appl Physiol Nutr Metab. 2011;36(4):570‐576. doi: 10.1139/h11-058 [DOI] [PubMed] [Google Scholar]
  • 67. Padwal RS, Pajewski NM, Allison DB, et al. Using the Edmonton Obesity Staging System to predict mortality in a population‐representative cohort of people with overweight and obesity. CMAJ. 2011;183(14):E1059‐E1066. doi: 10.1503/cmaj.110387 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Hadjiyannakis S, Buchholz A, Chanoine JP. The Edmonton Obesity Staging System for Pediatrics: a proposed clinical staging system for paediatric obesity. Paed Child Health. 2016;21(1):21‐26. doi: 10.1093/pch/21.1.21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Hadjiyannakis S, Ibrahim Q, Li J, et al. Obesity class versus the Edmonton Obesity Staging System for Pediatrics to define health risk in childhood obesity: results from the CANPWR cross‐sectional study. Lancet Child Adolesc Health. 2019;3(6):398‐407. doi: 10.1016/S2352-4642(19)30056-2 [DOI] [PubMed] [Google Scholar]
  • 70. Aylwin S, Al‐Zaman Y. Emerging concepts in the medical and surgical treatment of obesity. Front Horm Res. 2008;36:229‐259. doi: 10.1159/000115368 [DOI] [PubMed] [Google Scholar]
  • 71. Jensen MD, Ryan DH, Apovian CM, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults. Circulation. 2014;129(25_suppl_2):S102‐S138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Lean ME, Leslie WS, Barnes AC, et al. Primary care‐led weight management for remission of type 2 diabetes (DiRECT): an open‐label, cluster‐randomised trial. Lancet. 2018;391(10120):541‐551. doi: 10.1016/S0140-6736(17)33102-1 [DOI] [PubMed] [Google Scholar]
  • 73. Wilding JPH, Batterham RL, Calanna S, et al. Once‐weekly semaglutide in adults with overweight or obesity. N Engl J Med. 2021;384(11):989‐1002. doi: 10.1056/NEJMoa2032183 [DOI] [PubMed] [Google Scholar]
  • 74. Pi‐Sunyer X, Astrup A, Fujioka K, et al. A randomized, controlled trial of 3.0 mg of liraglutide in weight management. N Engl J Med. 2015;373(1):11‐22. doi: 10.1056/NEJMoa1411892 [DOI] [PubMed] [Google Scholar]
  • 75. Ryan DH, Yockey SR. Weight loss and improvement in comorbidity: differences at 5%, 10%, 15%, and Over. Curr Obes Rep. 2017;6(2):187‐194. doi: 10.1007/s13679-017-0262-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Slentz CA, Aiken LB, Houmard JA, et al. Inactivity, exercise, and visceral fat. STRRIDE: a randomized, controlled study of exercise intensity and amount. J Appl Physiol (1985). 2005;99(4):1613‐1618. [DOI] [PubMed] [Google Scholar]
  • 77. Wing RR, Lang W, Wadden TA, et al. Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes. Diabetes Care. 2011;34(7):1481‐1486. doi: 10.2337/dc10-2415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Magkos F, Fraterrigo G, Yoshino J, et al. Effects of moderate and subsequent progressive weight loss on metabolic function and adipose tissue biology in humans with obesity. Cell Metab. 2016;23(4):591‐601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Tham KW, Lee PC, Lim CH. Weight management in obstructive sleep apnea: medical and surgical options. Sleep Med Clin. 2019;14(1):143‐153. doi: 10.1016/j.jsmc.2018.10.002 [DOI] [PubMed] [Google Scholar]
  • 80. Promrat K, Kleiner DE, Niemeier HM, et al. Randomized controlled trial testing the effects of weight loss on nonalcoholic steatohepatitis. Hepatology. 2010;51(1):121‐129. doi: 10.1002/hep.23276 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Wong VW, Wong GL, Chan RS, et al. Beneficial effects of lifestyle intervention in non‐obese patients with non‐alcoholic fatty liver disease. J Hepatol. 2018;69(6):1349‐1356. doi: 10.1016/j.jhep.2018.08.011 [DOI] [PubMed] [Google Scholar]
  • 82. Lazo M, Solga SF, Horska A, et al. Effect of a 12‐month intensive lifestyle intervention on hepatic steatosis in adults with type 2 diabetes. Diabetes Care. 2010;33(10):2156‐2163. doi: 10.2337/dc10-0856 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Cuthbertson DJ, Wilding JPH. Metabolically healthy obesity: time for a change of heart? Nat Rev Endocrinol. 2021;17(9):519‐520. doi: 10.1038/s41574-021-00537-7 [DOI] [PubMed] [Google Scholar]
  • 84. Montesi L, El Ghoch M, Brodosi L, et al. Long‐term weight loss maintenance for obesity: a multidisciplinary approach. Diabetes Metab Syndr Obes. 2016;9:37‐46. doi: 10.2147/DMSO.S89836 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Hamdy O, Ashrafzadeh S, Mottalib A. Weight management in patients with type 2 diabetes: a multidisciplinary real‐world approach. Curr Diab Rep. 2018;18(9):66. doi: 10.1007/s11892-018-1030-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Kirk SF, Penney TL, McHugh TL, et al. Effective weight management practice: a review of the lifestyle intervention evidence. Int J Obes (Lond). 2012;36(2):178‐185. doi: 10.1038/ijo.2011.80 [DOI] [PubMed] [Google Scholar]
  • 87. Johns DJ, Hartmann‐Boyce J, Jebb SA, et al. Diet or exercise interventions vs combined behavioral weight management programs: a systematic review and meta‐analysis of direct comparisons. J Acad Nutr Diet. 2014;114(10):1557‐1568. doi: 10.1016/j.jand.2014.07.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Ramage S, Farmer A, Eccles KA, et al. Healthy strategies for successful weight loss and weight maintenance: a systematic review. Appl Physiol Nutr Metab. 2014;39(1):1‐20. doi: 10.1139/apnm-2013-0026 [DOI] [PubMed] [Google Scholar]
  • 89. Misra A, Jayawardena R, Anoop S. Obesity in South Asia: phenotype, morbidities, and mitigation. Curr Obes Rep. 2019;8(1):43‐52. doi: 10.1007/s13679-019-0328-0 [DOI] [PubMed] [Google Scholar]
  • 90. Cheah WL, Chang CT, Helmy H, et al. An intervention based on the stages of change, health profiles and physical activity levels of overweight and obese adults in Sarawak, Malaysia—a feasibility study. Malays Fam Physician. 2019;14(3):46‐54. [PMC free article] [PubMed] [Google Scholar]
  • 91. Langeveld M, DeVries JH. The long‐term effect of energy restricted diets for treating obesity. Obesity (Silver Spring). 2015;23(8):1529‐1538. doi: 10.1002/oby.21146 [DOI] [PubMed] [Google Scholar]
  • 92. MacLean PS, Wing RR, Davidson T, et al. NIH working group report: innovative research to improve maintenance of weight loss. Obesity (Silver Spring). 2015;23(1):7‐15. doi: 10.1002/oby.20967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Shai I, Schwarzfuchs D, Henkin Y, et al. Weight loss with a low‐carbohydrate, Mediterranean, or low‐fat diet. N Engl J Med. 2008;359(3):229‐241. doi: 10.1056/NEJMoa0708681 [DOI] [PubMed] [Google Scholar]
  • 94. Sumithran P, Prendergast LA, Delbridge E, et al. Long‐term persistence of hormonal adaptations to weight loss. N Engl J Med. 2011;365(17):1597‐1604. doi: 10.1056/NEJMoa1105816 [DOI] [PubMed] [Google Scholar]
  • 95. Hall KD, Kahan S. Maintenance of lost weight and long‐term management of obesity. Med Clin North Am. 2018;102(1):183‐197. doi: 10.1016/j.mcna.2017.08.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Fothergill E, Guo J, Howard L, et al. Persistent metabolic adaptation 6 years after “The Biggest Loser” competition. Obesity (Silver Spring). 2016;24(8):1612‐1619. doi: 10.1002/oby.21538 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. Int J Obes (Lond). 2010;34(Suppl 1):S47‐S55. doi: 10.1038/ijo.2010.184 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Koliaki C, Spinos T, Spinou M, et al. Defining the optimal dietary approach for safe, effective and sustainable weight loss in overweight and obese adults. Healthcare (Basel). 2018;6(3):73. doi: 10.3390/healthcare6030073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Ibrahim N, Ming Moy F, Awalludin IA, et al. Effects of a community‐based healthy lifestyle intervention program (Co‐HELP) among adults with prediabetes in a developing country: a quasi‐experimental study. PLoS ONE. 2016;11(12):e0167123. doi: 10.1371/journal.pone.0167123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Ng CLW, Tai ES, Tham KW. A community based weight loss intervention program in Malay women—a proof of concept. J Fujian Univ Trad Chinese Med. 2016;26:25‐32. [Google Scholar]
  • 101. Gulati S, Misra A, Tiwari R, et al. Effect of high‐protein meal replacement on weight and cardiometabolic profile in overweight/obese Asian Indians in North India. Br J Nutr. 2017;117(11):1531‐1540. doi: 10.1017/S0007114517001295 [DOI] [PubMed] [Google Scholar]
  • 102. Misra A, Sharma R, Gulati S, et al. Consensus dietary guidelines for healthy living and prevention of obesity, the metabolic syndrome, diabetes, and related disorders in Asian Indians. Diabetes Technol Ther. 2011;13(6):683‐694. doi: 10.1089/dia.2010.0198 [DOI] [PubMed] [Google Scholar]
  • 103. Gulati S, Misra A. Sugar intake, obesity, and diabetes in India. Nutrients. 2014;6(12):5955‐5974. doi: 10.3390/nu6125955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Fan JG, Kim SU, Wong VW. New trends on obesity and NAFLD in Asia. J Hepatol. 2017;67(4):862‐873. doi: 10.1016/j.jhep.2017.06.003 [DOI] [PubMed] [Google Scholar]
  • 105. Harris J, Nguyen PH, Tran LM, et al. Nutrition transition in Vietnam: changing food supply, food prices, household expenditure, diet and nutrition outcomes. Food Security. 2020;12(5):1141‐1155. doi: 10.1007/s12571-020-01096-x [DOI] [Google Scholar]
  • 106. Chavasit V. Fast foods in transition and nutrition problems in Thailand. In: Sanford MG, ed. Fast Foods. Nova Science Publishers, Inc; 2014. [Google Scholar]
  • 107. Henry CJ, Kaur B, Quek RYC. Are Asian foods as “fattening” as western‐styled fast foods? Eur J Clin Nutr. 2020;74(2):348‐350. doi: 10.1038/s41430-019-0537-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Bhardwaj S, Passi SJ, Misra A, et al. Effect of heating/reheating of fats/oils, as used by Asian Indians, on trans fatty acid formation. Food Chem. 2016;212:663‐670. doi: 10.1016/j.foodchem.2016.06.021 [DOI] [PubMed] [Google Scholar]
  • 109. Gupta V, Downs SM, Ghosh‐Jerath S, et al. Unhealthy fat in street and snack foods in low‐socioeconomic settings in India: a case study of the food environments of rural villages and an urban slum. J Nutr Educ Behav. 2016;48(4):269‐279. doi: 10.1016/j.jneb.2015.11.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Mohan V, Unnikrishnan R, Shobana S, et al. Are excess carbohydrates the main link to diabetes and its complications in Asians? Indian J Med Res. 2018;148(5):531‐538. doi: 10.4103/ijmr.IJMR_1698_18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Gulati S, Misra A. Abdominal obesity and type 2 diabetes in Asian Indians: dietary strategies including edible oils, cooking practices and sugar intake. Eur J Clin Nutr. 2017;71(7):850‐857. doi: 10.1038/ejcn.2017.92 [DOI] [PubMed] [Google Scholar]
  • 112. Radhika G, Sathya RM, Ganesan A, et al. Dietary profile of urban adult population in South India in the context of chronic disease epidemiology (CURES‐68). Public Health Nutr. 2011;14(4):591‐598. doi: 10.1017/S136898001000203X [DOI] [PubMed] [Google Scholar]
  • 113. Misra A, Singhal N, Khurana L. Obesity, the metabolic syndrome, and type 2 diabetes in developing countries: role of dietary fats and oils. J Am Coll Nutr. 2010;29(3 Suppl):289S‐301S. doi: 10.1080/07315724.2010.10719844 [DOI] [PubMed] [Google Scholar]
  • 114. Daniel CR, Prabhakaran D, Kapur K, et al. A cross‐sectional investigation of regional patterns of diet and cardio‐metabolic risk in India. Nutr J. 2011;10(1):12. doi: 10.1186/1475-2891-10-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Mohan V, Radhika G, Sathya RM, et al. Dietary carbohydrates, glycaemic load, food groups and newly detected type 2 diabetes among urban Asian Indian population in Chennai, India (Chennai Urban Rural Epidemiology Study 59). Br J Nutr. 2009;102(10):1498‐1506. doi: 10.1017/S0007114509990468 [DOI] [PubMed] [Google Scholar]
  • 116. Jayawardena R, Byrne NM, Soares MJ, et al. Body weight perception and weight loss practices among Sri Lankan adults. Obes Res Clin Pract. 2014;8(2):e192‐e200. doi: 10.1016/j.orcp.2013.05.003 [DOI] [PubMed] [Google Scholar]
  • 117. Gulati S, Misra A, Colles SL, et al. Dietary intakes and familial correlates of overweight/obesity: a four‐cities study in India. Ann Nutr Metab. 2013;62(4):279‐290. doi: 10.1159/000346554 [DOI] [PubMed] [Google Scholar]
  • 118. Johnston BC, Kanters S, Bandayrel K, et al. Comparison of weight loss among named diet programs in overweight and obese adults: a meta‐analysis. JAMA. 2014;312(9):923‐933. doi: 10.1001/jama.2014.10397 [DOI] [PubMed] [Google Scholar]
  • 119. Raynor HA, Champagne CM. Position of the Academy of Nutrition and Dietetics: interventions for the treatment of overweight and obesity in adults. J Acad Nutr Diet. 2016;116(1):129‐147. doi: 10.1016/j.jand.2015.10.031 [DOI] [PubMed] [Google Scholar]
  • 120. Liu D, Huang Y, Huang C, et al. Calorie restriction with or without time‐restricted eating in weight loss. N Engl J Med. 2022;386(16):1495‐1504. doi: 10.1056/NEJMoa2114833 [DOI] [PubMed] [Google Scholar]
  • 121. Abete I, Parra MD, Zulet MA, et al. Different dietary strategies for weight loss in obesity: role of energy and macronutrient content. Nutr Res Rev. 2006;19(1):5‐17. doi: 10.1079/NRR2006112 [DOI] [PubMed] [Google Scholar]
  • 122. Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of low‐fat vs low‐carbohydrate diet on 12‐month weight loss in overweight adults and the association with genotype pattern or insulin secretion: the DIETFITS randomized clinical trial. JAMA. 2018;319(7):667‐679. doi: 10.1001/jama.2018.0245 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Tsai AG, Wadden TA. The evolution of very‐low‐calorie diets: an update and meta‐analysis. Obesity (Silver Spring). 2006;14(8):1283‐1293. doi: 10.1038/oby.2006.146 [DOI] [PubMed] [Google Scholar]
  • 124. Shaw K, Gennat H, O'Rourke P, et al. Exercise for overweight or obesity. Cochrane Database Syst Rev. 2006;2010(4):Cd003817. doi: 10.1002/14651858.CD003817.pub3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006;174(6):801‐809. doi: 10.1503/cmaj.051351 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126. Pedersen BK. Body mass index‐independent effect of fitness and physical activity for all‐cause mortality. Scand J Med Sci Sports. 2007;17(3):196‐204. doi: 10.1111/j.1600-0838.2006.00626.x [DOI] [PubMed] [Google Scholar]
  • 127. World Health Organization . Risk reduction of cognitive decline and dementia: WHO guidelines. 2019. https://www.who.int/publications/i/item/9789241550543. Accessed June 2022. [PubMed]
  • 128. Jakicic JM, Clark K, Coleman E, et al. American College of Sports Medicine position stand. Appropriate intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc. 2001;33(12):2145‐2156. doi: 10.1097/00005768-200112000-00026 [DOI] [PubMed] [Google Scholar]
  • 129. Washburn RA, Szabo AN, Lambourne K, et al. Does the method of weight loss effect long‐term changes in weight, body composition or chronic disease risk factors in overweight or obese adults? A systematic review. PLoS ONE. 2014;9(10):e109849. doi: 10.1371/journal.pone.0109849 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Vissers D, Hens W, Taeymans J, et al. The effect of exercise on visceral adipose tissue in overweight adults: a systematic review and meta‐analysis. PLoS ONE. 2013;8(2):e56415. doi: 10.1371/journal.pone.0056415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Donnelly JE, Blair SN, Jakicic JM, et al. American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc. 2009;41(2):459‐471. doi: 10.1249/MSS.0b013e3181949333 [DOI] [PubMed] [Google Scholar]
  • 132. Health Promotion Board of Singapore . HPB‐MOH clinical practice guidelines for obesity. 2016. http://www.hpb.gov.sg/cpg-obesity. Accessed February 2022.
  • 133. Schwingshackl L, Dias S, Strasser B, et al. Impact of different training modalities on anthropometric and metabolic characteristics in overweight/obese subjects: a systematic review and network meta‐analysis. PLoS ONE. 2013;8(12):e82853. doi: 10.1371/journal.pone.0082853 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Villareal DT, Chode S, Parimi N, et al. Weight loss, exercise, or both and physical function in obese older adults. N Engl J Med. 2011;364(13):1218‐1229. doi: 10.1056/NEJMoa1008234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. Borg P, Kukkonen‐Harjula K, Fogelholm M, et al. Effects of walking or resistance training on weight loss maintenance in obese, middle‐aged men: a randomized trial. Int J Obes Relat Metab Disord. 2002;26(5):676‐683. doi: 10.1038/sj.ijo.0801962 [DOI] [PubMed] [Google Scholar]
  • 136. Schmitz KH, Jensen MD, Kugler KC, et al. Strength training for obesity prevention in midlife women. Int J Obes Relat Metab Disord. 2003;27(3):326‐333. doi: 10.1038/sj.ijo.0802198 [DOI] [PubMed] [Google Scholar]
  • 137. Sigal RJ, Kenny GP, Boulé NG, et al. Effects of aerobic training, resistance training, or both on glycemic control in type 2 diabetes: a randomized trial. Ann Intern Med. 2007;147(6):357‐369. doi: 10.7326/0003-4819-147-6-200709180-00005 [DOI] [PubMed] [Google Scholar]
  • 138. Church TS, Blair SN, Cocreham S, et al. Effects of aerobic and resistance training on hemoglobin A1c levels in patients with type 2 diabetes: a randomized controlled trial. JAMA. 2010;304(20):2253‐2262. doi: 10.1001/jama.2010.1710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Bacchi E, Negri C, Zanolin ME, et al. Metabolic effects of aerobic training and resistance training in type 2 diabetic subjects: a randomized controlled trial (the RAED2 study). Diabetes Care. 2012;35(4):676‐682. doi: 10.2337/dc11-1655 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Hayes L, White M, Unwin N, et al. Patterns of physical activity and relationship with risk markers for cardiovascular disease and diabetes in Indian, Pakistani, Bangladeshi and European adults in a UK population. J Public Health Med. 2002;24(3):170‐178. [DOI] [PubMed] [Google Scholar]
  • 141. Trinh OT, Nguyen ND, Dibley MJ, et al. The prevalence and correlates of physical inactivity among adults in Ho Chi Minh City. BMC Public Health. 2008;8(1):204. doi: 10.1186/1471-2458-8-204 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Misra A, Khurana L. Obesity‐related non‐communicable diseases: South Asians vs White Caucasians. Int J Obes (Lond). 2011;35(2):167‐187. [DOI] [PubMed] [Google Scholar]
  • 143. Tripathy JP, Thakur JS, Jeet G, et al. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross‐sectional STEPS survey. BMC Public Health. 2016;16(1):816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. National Nutrition Monitoring Bureau . Diet and nutritional status of urban population in India. Technical report no. 27. 2017.
  • 145. Hui SS, Zhang R, Suzuki K, et al. The associations between meeting 24‐hour movement guidelines and adiposity in Asian Adolescents: the Asia‐Fit Study. Scand J Med Sci Sports. 2021;31(3):763‐771. [DOI] [PubMed] [Google Scholar]
  • 146. Win AM, Yen LW, Tan KH, et al. Patterns of physical activity and sedentary behavior in a representative sample of a multi‐ethnic South‐East Asian population: a cross‐sectional study. BMC Public Health. 2015;15(1):318. doi: 10.1186/s12889-015-1668-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Johnson MRD. Perceptions of barriers to healthy physical activity among Asian communities. Sports Educ Society. 2010;5:51‐70. [Google Scholar]
  • 148. Sriskantharajah J, Kai J. Promoting physical activity among South Asian women with coronary heart disease and diabetes: what might help? Fam Pract. 2007;24(1):71‐76. [DOI] [PubMed] [Google Scholar]
  • 149. Lawton J, Ahmad N, Hanna L, et al. ‘I can't do any serious exercise’: barriers to physical activity amongst people of Pakistani and Indian origin with Type 2 diabetes. Health Educ Res. 2006;21(1):43‐54. [DOI] [PubMed] [Google Scholar]
  • 150. De Cocker KA, van Uffelen JG, Brown WJ. Associations between sitting time and weight in young adult Australian women. Prev Med. 2010;51(5):361‐367. [DOI] [PubMed] [Google Scholar]
  • 151. Bauman A, Ainsworth BE, Sallis JF, et al. The descriptive epidemiology of sitting. A 20‐country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med. 2011;41(2):228‐235. [DOI] [PubMed] [Google Scholar]
  • 152. Wing RR, Look AHEAD Research Group . Does lifestyle intervention improve health of adults with overweight/obesity and type 2 diabetes? Findings from the Look AHEAD randomized trial. Obesity (Silver Spring). 2021;29(8):1246‐1258. [DOI] [PubMed] [Google Scholar]
  • 153. Salam RA, Padhani ZA, Das JK, et al. Effects of lifestyle modification interventions to prevent and manage child and adolescent obesity: a systematic review and meta‐analysis. Nutrients. 2020;12(8):2208. doi: 10.3390/nu12082208 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154. Koo HC, Poh BK, Abd TR. The GReat‐Child™ Trial: a quasi‐experimental intervention on whole grains with healthy balanced diet to manage childhood obesity in Kuala Lumpur, Malaysia. Nutrients. 2018;10(2):156. doi: 10.3390/nu10020156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155. Yi DY, Kim SC, Lee JH, et al. Clinical practice guideline for the diagnosis and treatment of pediatric obesity: recommendations from the Committee on Pediatric Obesity of the Korean Society of Pediatric Gastroenterology Hepatology and Nutrition. Pediatr Gastroenterol Hepatol Nutr. 2019;22(1):1‐27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156. Mittal M, Jain V. Management of obesity and its complications in children and adolescents. Indian J Pediatr. 2021;88(12):1222‐1234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Canadian Task Force on Preventive Health Care . Recommendations for growth monitoring, and prevention and management of overweight and obesity in children and youth in primary care. CMAJ. 2015;187(6):411‐421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158. Cuda SE, Censani M. Pediatric obesity algorithm: a practical approach to obesity diagnosis and management. Front Pediatr. 2018;6:431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159. Kim S, Cho YG, Kang JH, et al. The relationships between parental lifestyle habits and children's overweight. J Korean Acad Fam Med. 2008;29:395‐404. [Google Scholar]
  • 160. Armstrong MJ, Mottershead TA, Ronksley PE, et al. Motivational interviewing to improve weight loss in overweight and/or obese patients: a systematic review and meta‐analysis of randomized controlled trials. Obes Rev. 2011;12(9):709‐723. [DOI] [PubMed] [Google Scholar]
  • 161. Durrer Schutz D, Busetto L, Dicker D, et al. European practical and patient‐centred guidelines for adult obesity management in primary care. Obes Facts. 2019;12(1):40‐66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Burgess E, Hassmen P, Pumpa KL. Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review. Clin Obes. 2017;7(3):123‐135. [DOI] [PubMed] [Google Scholar]
  • 163. Obesity Canada Clinical Practice Guidelines Expert Panel . Effective psychological and behavioural interventions in obesity management. 2020. https://obesitycanada.ca/guidelines/behavioural. Accessed February 2022.
  • 164. Lin PH, Grambow S, Intille S, et al. The association between engagement and weight loss through personal coaching and cell phone interventions in young adults: randomized controlled trial. JMIR Mhealth Uhealth. 2018;6(10):e10471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165. Vaz CL, Carnes N, Pousti B, et al. A randomized controlled trial of an innovative, user‐friendly, interactive smartphone app‐based lifestyle intervention for weight loss. Obes Sci Pract. 2021;7(5):555‐568. doi: 10.1002/osp4.503 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166. Chao AM, Wadden TA, Walsh OA, et al. Changes in health‐related quality of life with intensive behavioural therapy combined with liraglutide 3.0 mg per day. Clin Obes. 2019;9(6):e12340. [DOI] [PubMed] [Google Scholar]
  • 167. Galle F, Marte G, Cirella A, et al. An exercise‐based educational and motivational intervention after surgery can improve behaviors, physical fitness and quality of life in bariatric patients. PLoS ONE. 2020;15(10):e0241336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Wadden T, Tronieri JS, Sugimoto D, et al. Liraglutide 3.0 mg and intensive behavioral therapy (IBT) for obesity in primary care: the SCALE IBT randomized controlled trial. Obesity (Silver Spring). 2020;28:529‐536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169. Wadden TA, Bailey TS, Billings LK, et al. Effect of subcutaneous semaglutide vs placebo as an adjunct to intensive behavioral therapy on body weight in adults with overweight or obesity: the STEP 3 randomized clinical trial. JAMA. 2021;325(14):1403‐1413. doi: 10.1001/jama.2021.1831 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170. Wadden TA, Foreyt JP, Foster GD, et al. Weight loss with naltrexone SR/bupropion SR combination therapy as an adjunct to behavior modification: the COR‐BMOD trial. Obesity (Silver Spring). 2011;19(1):110‐120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171. Torgerson JS, Hauptman J, Boldrin MN, et al. XENical in the prevention of diabetes in obese subjects (XENDOS) study: a randomized study of orlistat as an adjunct to lifestyle changes for the prevention of type 2 diabetes in obese patients. Diabetes Care. 2004;27(1):155‐161. doi: 10.2337/diacare.27.1.155 [DOI] [PubMed] [Google Scholar]
  • 172. Jacob S, Rabbia M, Meier MK, et al. Orlistat 120 mg improves glycaemic control in type 2 diabetic patients with or without concurrent weight loss. Diabetes Obes Metab. 2009;11(4):361‐371. doi: 10.1111/j.1463-1326.2008.00970.x [DOI] [PubMed] [Google Scholar]
  • 173. Davies MJ, Bergenstal R, Bode B, et al. Efficacy of liraglutide for weight loss among patients with type 2 diabetes: the SCALE Diabetes randomized clinical trial. JAMA. 2015;314(7):687‐699. doi: 10.1001/jama.2015.9676 [DOI] [PubMed] [Google Scholar]
  • 174. le Roux CW, Astrup A, Fujioka K, et al. 3 years of liraglutide versus placebo for type 2 diabetes risk reduction and weight management in individuals with prediabetes: a randomised, double‐blind trial. Lancet. 2017;389(10077):1399‐1409. doi: 10.1016/S0140-6736(17)30069-7 [DOI] [PubMed] [Google Scholar]
  • 175. Astrup A, Carraro R, Finer N, et al. Safety, tolerability and sustained weight loss over 2 years with the once‐daily human GLP‐1 analog, liraglutide. Int J Obes (Lond). 2012;36(6):843‐854. doi: 10.1038/ijo.2011.158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176. Yanovski SZ, Yanovski JA. Long‐term drug treatment for obesity: a systematic and clinical review. JAMA. 2014;311(1):74‐86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177. Wadden TA, Berkowitz RI, Sarwer DB, et al. Benefits of lifestyle modification in the pharmacologic treatment of obesity: a randomized trial. Arch Intern Med. 2001;161(2):218‐227. [DOI] [PubMed] [Google Scholar]
  • 178. Apovian CM, Aronne LJ, Bessesen DH, et al. Pharmacological management of obesity: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2015;100(2):342‐362. doi: 10.1210/jc.2014-3415 [DOI] [PubMed] [Google Scholar]
  • 179. Obesity Canada Clinical Practice Guidelines Expert Panel . Pharmacotherapy in obesity management. 2020. https://obesitycanada.ca/guidelines/pharmacotherapy/. Accessed February 2022.
  • 180. Sjöström L, Rissanen A, Andersen T, et al. Randomised placebo‐controlled trial of orlistat for weight loss and prevention of weight regain in obese patients. European Multicentre Orlistat Study Group Lancet. 1998;352(9123):167‐172. doi: 10.1016/S0140-6736(97)11509-4 [DOI] [PubMed] [Google Scholar]
  • 181. Shettar V, Patel S, Kidambi S. Epidemiology of obesity and pharmacologic treatment options. Nutr Clin Pract. 2017;32(4):441‐462. doi: 10.1177/0884533617713189 [DOI] [PubMed] [Google Scholar]
  • 182. Styne DM, Arslanian SA, Connor EL, et al. Pediatric obesity‐assessment, treatment, and prevention: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2017;102(3):709‐757. doi: 10.1210/jc.2016-2573 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183. Whitlock EP, O'Connor EA, Williams SB, et al. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010;125(2):e396‐e418. [DOI] [PubMed] [Google Scholar]
  • 184. McGovern L, Johnson JN, Paulo R, et al. Clinical review: treatment of pediatric obesity: a systematic review and meta‐analysis of randomized trials. J Clin Endocrinol Metab. 2008;93(12):4600‐4605. [DOI] [PubMed] [Google Scholar]
  • 185. Chanoine JP, Hampl S, Jensen C, et al. Effect of orlistat on weight and body composition in obese adolescents: a randomized controlled trial. JAMA. 2005;293(23):2873‐2883. [DOI] [PubMed] [Google Scholar]
  • 186. Maahs D, de Serna DG, Kolotkin RL, et al. Randomized, double‐blind, placebo‐controlled trial of orlistat for weight loss in adolescents. Endocr Pract. 2006;12(1):18‐28. [DOI] [PubMed] [Google Scholar]
  • 187. Viner RM, Hsia Y, Neubert A, et al. Rise in antiobesity drug prescribing for children and adolescents in the UK: a population‐based study. Br J Clin Pharmacol. 2009;68(6):844‐851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188. Sun AP, Kirby B, Black C, et al. Unplanned medication discontinuation as a potential pharmacovigilance signal: a nested young person cohort study. BMC Pharmacol Toxicol. 2014;15(1):11. doi: 10.1186/2050-6511-15-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189. Kelly AS, Auerbach P, Barrientos‐Perez M, et al. A randomized, controlled trial of liraglutide for adolescents with obesity. N Engl J Med. 2020;382(22):2117‐2128. [DOI] [PubMed] [Google Scholar]
  • 190. Bhasker AG, Prasad A, Raj PP, et al. OSSI (Obesity and Metabolic Surgery Society of India) guidelines for patient and procedure selection for bariatric and metabolic surgery. Obes Surg. 2020;30(6):2362‐2368. [DOI] [PubMed] [Google Scholar]
  • 191. Ohta M, Seki Y, Wong SK, et al. Bariatric/metabolic surgery in the Asia‐Pacific region: APMBSS 2018 survey. Obes Surg. 2019;29(2):534‐541. [DOI] [PubMed] [Google Scholar]
  • 192. Chang YC, Chao SH, Chen CC, et al. The effects of bariatric surgery on renal, neurological, and ophthalmic complications in patients with type 2 diabetes: the Taiwan Diabesity Study. Obes Surg. 2021;31(1):117‐126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193. Mingrone G, Panunzi S, De Gaetano A, et al. Metabolic surgery versus conventional medical therapy in patients with type 2 diabetes: 10‐year follow‐up of an open‐label, single‐centre, randomised controlled trial. Lancet. 2021;397(10271):293‐304. [DOI] [PubMed] [Google Scholar]
  • 194. Aminian A, Zajichek A, Arterburn DE, et al. Association of metabolic surgery with major adverse cardiovascular outcomes in patients with type 2 diabetes and obesity. JAMA. 2019;322(13):1271‐1282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195. Ikramuddin S, Korner J, Lee WJ, et al. Lifestyle intervention and medical management with vs without Roux‐en‐Y gastric bypass and control of hemoglobin A1c, LDL cholesterol, and systolic blood pressure at 5 years in the diabetes surgery study. JAMA. 2018;319(3):266‐278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196. Lee PC, Tham KW, Ganguly S, et al. Ethnicity does not influence glycemic outcomes or diabetes remission after sleeve gastrectomy or gastric bypass in a multiethnic Asian cohort. Obes Surg. 2018;28(6):1511‐1518. [DOI] [PubMed] [Google Scholar]
  • 197. Kheniser K, Saxon DR, Kashyap SR. Long‐term weight loss strategies for obesity. J Clin Endocrinol Metab. 2021;106(7):1854‐1866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198. Adams TD, Davidson LE, Litwin SE, et al. Weight and metabolic outcomes 12 years after gastric bypass. N Engl J Med. 2017;377(12):1143‐1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199. Obesity Canada Clinical Practice Guidelines Expert Panel . Bariatric surgery: surgical options and outcomes. 2020. https://obesitycanada.ca/guidelines/surgeryoptions. Accessed February 2022.
  • 200. Kular KS, Manchanda N, Rutledge R. Analysis of the five‐year outcomes of sleeve gastrectomy and mini gastric bypass: a report from the Indian sub‐continent. Obes Surg. 2014;24(10):1724‐1728. [DOI] [PubMed] [Google Scholar]
  • 201. Lakdawala M, Shaikh S, Bandukwala S, et al. Roux‐en‐Y gastric bypass stands the test of time: 5‐year results in low body mass index (30‐35 kg/m2) Indian patients with type 2 diabetes mellitus. Surg Obes Relat Dis. 2013;9(3):370‐378. [DOI] [PubMed] [Google Scholar]
  • 202. Lee WJ, Ser KH, Lee YC, et al. Laparoscopic Roux‐en‐Y vs. mini‐gastric bypass for the treatment of morbid obesity: a 10‐year experience. Obes Surg. 2012;22(12):1827‐1834. [DOI] [PubMed] [Google Scholar]
  • 203. Toh BC, Chan WH, Eng AKH, et al. Five‐year long‐term clinical outcome after bariatric metabolic surgery: a multi‐ethnic Asian population in Singapore. Diabetes Obes Metab. 2018;20(7):1762‐1765. [DOI] [PubMed] [Google Scholar]
  • 204. Yeo D, Yeo C, Low TY, et al. Outcomes after metabolic surgery in Asians—a meta‐analysis. Obes Surg. 2019;29(1):114‐126. [DOI] [PubMed] [Google Scholar]
  • 205. Tan SYT, Syn NL, Lin DJ, et al. Centile charts for monitoring of weight loss trajectories after bariatric surgery in asian patients. Obes Surg. 2021;31(11):4781‐4789. [DOI] [PubMed] [Google Scholar]
  • 206. Obesity Canada Clinical Practice Guidelines Expert Panel . Bariatric surgery: postoperative management. 2020. https://obesitycanada.ca/guidelines/postop. Accessed February 2022.
  • 207. Azran C, Wolk O, Zur M, et al. Oral drug therapy following bariatric surgery: an overview of fundamentals, literature and clinical recommendations. Obes Rev. 2016;17(11):1050‐1066. [DOI] [PubMed] [Google Scholar]
  • 208. Kasama K, Mui W, Lee WJ, et al. IFSO‐APC consensus statements 2011. Obes Surg. 2012;22(5):677‐684. [DOI] [PubMed] [Google Scholar]
  • 209. Pratt JSA, Browne A, Browne NT, et al. ASMBS pediatric metabolic and bariatric surgery guidelines, 2018. Surg Obes Relat Dis. 2018;14(7):882‐901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210. Hachem A, Brennan L. Quality of life outcomes of bariatric surgery: a systematic review. Obes Surg. 2016;26(2):395‐409. [DOI] [PubMed] [Google Scholar]
  • 211. Lee WJ, Wang W. Bariatric surgery: Asia‐Pacific perspective. Obes Surg. 2005;15(6):751‐757. [DOI] [PubMed] [Google Scholar]
  • 212. Behl S, Misra A. Management of obesity in adult Asian Indians. Indian Heart J. 2017;69(4):539‐544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213. Lee PC, Ganguly S, Tan HC, et al. Attitudes and perceptions of the general public on obesity and its treatment options in Singapore. Obes Res Clin Pract. 2019;13(4):404‐407. [DOI] [PubMed] [Google Scholar]
  • 214. Memarian E, Carrasco D, Thulesius H, et al. Primary care physicians' knowledge, attitudes and concerns about bariatric surgery and the association with referral patterns: a Swedish survey study. BMC Endocr Disord. 2021;21(1):62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215. Stolberg CR, Hepp N, Juhl AJA, et al. Primary care physician decision making regarding referral for bariatric surgery: a national survey. Surg Obes Relat Dis. 2017;13(5):807‐813. [DOI] [PubMed] [Google Scholar]
  • 216. Matsuo T, Nakata Y, Hotta K, et al. The FTO genotype as a useful predictor of body weight maintenance: initial data from a 5‐year follow‐up study. Metabolism. 2014;63(7):912‐917. [DOI] [PubMed] [Google Scholar]
  • 217. Brantley PJ, Stewart DW, Myers VH, et al. Psychosocial predictors of weight regain in the weight loss maintenance trial. J Behav Med. 2014;37(6):1155‐1168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218. Martins C, Gower BA, Hunter GR. Metabolic adaptation delays time to reach weight loss goals. Obesity (Silver Spring). 2022;30(2):400‐406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219. Ostendorf DM, Blankenship JM, Grau L, et al. Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: an exploratory analysis. Obes Sci Pract. 2021;7(5):569‐582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220. Unick JL, Neiberg RH, Hogan PE, et al. Weight change in the first 2 months of a lifestyle intervention predicts weight changes 8 years later. Obesity (Silver Spring). 2015;23(7):1353‐1356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221. Bajerska J, Chmurzynska A, Muzsik‐Kazimierska A, et al. Determinants favoring weight regain after weight‐loss therapy among postmenopausal women. Sci Rep. 2020;10(1):17713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222. Cheng HR, Walker LO, Tseng YF, et al. Post‐partum weight retention in women in Asia: a systematic review. Obes Rev. 2011;12(10):770‐780. [DOI] [PubMed] [Google Scholar]
  • 223. Ha AVV, Zhao Y, Binns CW, et al. Postpartum physical activity and weight retention within one year: a prospective cohort study in Vietnam. Int J Environ Res Public Health. 2020;17(3):1105. doi: 10.3390/ijerph17031105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224. Perri MG, McAllister DA, Gange JJ, et al. Effects of four maintenance programs on the long‐term management of obesity. J Consult Clin Psychol. 1988;56(4):529‐534. [DOI] [PubMed] [Google Scholar]
  • 225. Fujioka K, O'Neil PM, Davies M, et al. Early weight loss with liraglutide 3.0 mg predicts 1‐year weight loss and is associated with improvements in clinical markers. Obesity (Silver Spring). 2016;24(11):2278‐2288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226. Apovian CM, Aronne L, Rubino D, et al. A randomized, phase 3 trial of naltrexone SR/bupropion SR on weight and obesity‐related risk factors (COR‐II). Obesity (Silver Spring). 2013;21(5):935‐943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227. El Ansari W, Elhag W. Weight regain and insufficient weight loss after bariatric surgery: definitions, prevalence, mechanisms, predictors, prevention and management strategies, and knowledge gaps—a scoping review. Obes Surg. 2021;31(4):1755‐1766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228. Baig SJ, Priya P, Mahawar KK, et al. Weight regain after bariatric surgery—a multicentre study of 9617 patients from Indian Bariatric Surgery Outcome Reporting Group. Obes Surg. 2019;29(5):1583‐1592. [DOI] [PubMed] [Google Scholar]
  • 229. Belligoli A, Bettini S, Segato G, et al. Predicting responses to bariatric and metabolic surgery. Curr Obes Rep. 2020;9(3):373‐379. [DOI] [PubMed] [Google Scholar]
  • 230. Kalarchian MA, Marcus MD, Courcoulas AP, et al. Structured dietary intervention to facilitate weight loss after bariatric surgery: a randomized, controlled pilot study. Obesity (Silver Spring). 2016;24(9):1906‐1912. [DOI] [PubMed] [Google Scholar]
  • 231. Lee PC, Dixon JB, Sim PY, et al. Treatment options for poor responders to bariatric surgery. Curr Obes Rep. 2020;9(3):364‐372. [DOI] [PubMed] [Google Scholar]
  • 232. Gorgojo‐Martinez JJ, Feo‐Ortega G, Serrano‐Moreno C. Effectiveness and tolerability of liraglutide in patients with type 2 diabetes mellitus and obesity after bariatric surgery. Surg Obes Relat Dis. 2016;12(10):1856‐1863. [DOI] [PubMed] [Google Scholar]
  • 233. Miras AD, Perez‐Pevida B, Aldhwayan M, et al. Adjunctive liraglutide treatment in patients with persistent or recurrent type 2 diabetes after metabolic surgery (GRAVITAS): a randomised, double‐blind, placebo‐controlled trial. Lancet Diabetes Endocrinol. 2019;7(7):549‐559. [DOI] [PubMed] [Google Scholar]
  • 234. Istfan NW, Anderson WA, Hess DT, et al. The mitigating effect of phentermine and topiramate on weight regain after Roux‐en‐Y gastric bypass surgery. Obesity (Silver Spring). 2020;28(6):1023‐1030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235. Nor Hanipah Z, Nasr EC, Bucak E, et al. Efficacy of adjuvant weight loss medication after bariatric surgery. Surg Obes Relat Dis. 2018;14(1):93‐98. [DOI] [PubMed] [Google Scholar]
  • 236. Rubino F, Puhl RM, Cummings DE, et al. Joint international consensus statement for ending stigma of obesity. Nat Med. 2020;26(4):485‐497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237. Wu HX, Ching BHH, He CC, et al. “Thinness is beauty”: predictors of anti‐fat attitudes among young Chinese women. Current Psychol. 2021. doi: 10.1007/s12144-021-02021-x [DOI] [Google Scholar]
  • 238. Puhl RM, Himmelstein MS, Pearl RL. Weight stigma as a psychosocial contributor to obesity. Am Psychol. 2020;75(2):274‐289. [DOI] [PubMed] [Google Scholar]
  • 239. Iwabu M, Yamauchi T, Shimomura I, et al. Perceptions, attitudes and barriers to obesity management: Japanese data from the ACTION‐IO study. J Diabetes Investig. 2021;12(5):845‐858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240. Koly KN, Islam S. Tertiary care overweight and obesity management in Bangladesh: an exploration of the level of awareness and common barriers of physicians. J Obes Weight Loss Ther. 2016;6(8Suppl):56. [Google Scholar]
  • 241. Bidstrup H, Brennan L, Kaufmann L, et al. Internalised weight stigma as a mediator of the relationship between experienced/perceived weight stigma and biopsychosocial outcomes: a systematic review. Int J Obes (Lond). 2022;46(1):1‐9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242. Mensinger JL, Tylka TL, Calamari ME. Mechanisms underlying weight status and healthcare avoidance in women: a study of weight stigma, body‐related shame and guilt, and healthcare stress. Body Image. 2018;25:139‐147. doi: 10.1016/j.bodyim.2018.03.001 [DOI] [PubMed] [Google Scholar]
  • 243. Aldrich T, Hackley B. The impact of obesity on gynecologic cancer screening: an integrative literature review. J Midwifery Womens Health. 2010;55(4):344‐356. [DOI] [PubMed] [Google Scholar]
  • 244. Puhl RM, Wall MM, Chen C, et al. Experiences of weight teasing in adolescence and weight‐related outcomes in adulthood: a 15‐year longitudinal study. Prev Med. 2017;100:173‐179. doi: 10.1016/j.ypmed.2017.04.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245. Wellman JD, Araiza AM, Newell EE, et al. Weight stigma facilitates unhealthy eating and weight gain via fear of fat. Stigma Health. 2018;3(3):186‐194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246. Panza GA, Armstrong LE, Taylor BA, et al. Weight bias among exercise and nutrition professionals: a systematic review. Obes Rev. 2018;19(11):1492‐1503. [DOI] [PubMed] [Google Scholar]
  • 247. Puhl RM. What words should we use to talk about weight? A systematic review of quantitative and qualitative studies examining preferences for weight‐related terminology. Obes Rev. 2020;21(6):e13008. [DOI] [PubMed] [Google Scholar]
  • 248. Sobal J, Stunkard AJ. Socioeconomic status and obesity: a review of the literature. Psychol Bull. 1989;105(2):260‐275. [DOI] [PubMed] [Google Scholar]
  • 249. Kennedy MA, Templeton L, Gandhi A, et al. Asian body image satisfaction: ethnic and gender differences across Chinese, Indo‐Asian, and European‐descent students. Eat Disord. 2004;12(4):321‐336. [DOI] [PubMed] [Google Scholar]
  • 250. Seubsman SA, Lim LL, Banwell C, et al. Socioeconomic status, sex, and obesity in a large national cohort of 15‐87‐year‐old open university students in Thailand. J Epidemiol. 2010;20(1):13‐20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251. Powell TM, de Lemos JA, Banks K, et al. Body size misperception: a novel determinant in the obesity epidemic. Arch Intern Med. 2010;170(18):1695‐1697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252. Obesity Canada Clinical Practice Guidelines Expert Panel . 5As of obesity management for adults. https://obesitycanada.ca/5as-adult/. Accessed November 2021.
  • 253. Kelley CP, Sbrocco G, Sbrocco T. Behavioral modification for the management of obesity. Prim Care. 2016;43(1):159‐175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254. Obesity Canada Clinical Practice Guidelines Expert Panel . Canadian practice guidelines on the management and prevention of obesity in adults and children. CMAJ. 2007;176(8 Suppl):1‐177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 255. Ahmad N, Shariff ZM, Mukhtar F, et al. Family‐based intervention using face‐to‐face sessions and social media to improve Malay primary school children's adiposity: a randomized controlled field trial of the Malaysian REDUCE programme. Nutr J. 2018;17(1):74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256. Rubino DM, Greenway FL, Khalid U, et al. Effect of weekly subcutaneous semaglutide vs daily liraglutide on body weight in adults with overweight or obesity without diabetes: the STEP 8 randomized clinical trial. JAMA. 2022;327(2):138‐150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257. Association of Southeast Asian Nations . Regional Report on Nutrition Security in ASEAN, Volume 1. 2016. https://www.refworld.org/docid/56fb89e94.html. Accessed June 2022.
  • 258. Association of Southeast Asian Nations . Regional Report on Nutrition Security in ASEAN, Volume 2. 2016. https://www.refworld.org/docid/56fb8a4a4.html. Accessed June 2022.
  • 259. Association of Southeast Asian Nations . ASEAN Food and Nutrition Security Report 2021. Volume 1. 2021. https://asean.org/wp-content/uploads/2022/04/Digital_ASEAN_FNSR_Volume-1_21-4-2022_FINAL.pdf. Accessed June 2022.
  • 260. Foo LL, Vijaya K, Sloan RA, et al. Obesity prevention and management: Singapore's experience. Obes Rev. 2013;14(Suppl 2):106‐113. [DOI] [PubMed] [Google Scholar]
  • 261. Health Promotion Board of Singapore . First nation‐wide steps movement of an unprecedented scale extended into secondary schools and junior colleges. 2016. https://www.hpb.gov.sg/article/first-nation-wide-steps-movement-of-an-unprecedented-scale-extended-into-secondary-schools-and-junior-colleges. Accessed June 2022.
  • 262. Ministry of Health (Malaysia) . The implementation of taxation on sugar‐sweetened beverages (SSBs) in Malaysia. https://nutrition.moh.gov.my/en/the-implemention-of-taxation-on-sugar-sweetened-beverages-ssbs-in-malaysia/. Accessed June 2022.
  • 263. Wang Y, Zhao L, Gao L, et al. Health policy and public health implications of obesity in China. Lancet Diabetes Endocrinol. 2021;9(7):446‐461. [DOI] [PubMed] [Google Scholar]
  • 264. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome—a new world‐wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006;23(5):469‐480. [DOI] [PubMed] [Google Scholar]
  • 265. Government of India National Health Portal . Obesity. 2016. https://www.nhp.gov.in/disease/non-communicable-disease/obesity. Accessed February 2022.
  • 266. Jasul G, Sy RA. Obesity treatment recommendations in the Philippines: perspective on their utility and implementation in clinical practice. J ASEAN Fed Endocr Soc. 2011;26(2):122‐128. [Google Scholar]
  • 267. Sy RA. 2008. Guidelines for a healthy and safe weight management program: PASOO recommendations. Compendium of Philippine Medicine. 10th ed. pp 249–256.
  • 268. Ministry of Health (Vietnam) . Guideline for diagnosis and treatment of diabetes. 2017.
  • 269. Ministry of Health (Malaysia) . MASO/AMM/MEMS Clinical Practice Guidelines on Management of Obesity in Malaysia (2nd edition). In press. 2022.
  • 270. Abusnana S, Fargaly M, Alfardan SH, et al. Clinical practice recommendations for the management of obesity in the United Arab Emirates. Obes Facts. 2018;11(5):413‐428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271. MIMS . Pharmacotherapy guide to obesity. 2021.
  • 272. Rueda‐Clausen CF, Poddar M, Lear SA, et al. Canadian adult obesity clinical practice guidelines: assessment of people living with obesity. 2020. https://obesitycanada.ca/guidelines/assessment. Accessed February 2022.
  • 273. Davies M, Færch L, Jeppesen OK, et al. Semaglutide 2·4 mg once a week in adults with overweight or obesity, and type 2 diabetes (STEP 2): a randomised, double‐blind, double‐dummy, placebo‐controlled, phase 3 trial. Lancet. 2021;397(10278):971‐984. [DOI] [PubMed] [Google Scholar]
  • 274. Novo Nordisk . Wegovy (semaglutide) Prescribing Information. 2021.
  • 275. Garvey WT, Batterham RL, Bhatta M, et al. 2021. Two‐year effect of semaglutide 2.4 mg vs placebo in adults with overweight or obesity (STEP 5). Paper presented at: the 39th Annual Meeting of The Obesity Society (TOS) held at Obesity Week®, virtual meeting; November 1–5. https://sciencehub.novonordisk.com/content/dam/hcpexperience/kol/en/congresses/ow/2021/ow21-step-5-primary-lb/pdfs/PPT_Garvey_Two_year_effect_semaglutide_2.4mg_STEP_5_no%20animations.pdf. Accessed June 2022.
  • 276. Rubino F, Nathan DM, Eckel RH, et al. Metabolic surgery in the treatment algorithm for type 2 diabetes: a joint statement by international diabetes organizations. Diabetes Care. 2016;39(6):861‐877. [DOI] [PubMed] [Google Scholar]
  • 277. Mubarak AGA, Rajan R, Malapan K, et al. Patient and procedure selection for bariatric and metabolic surgery in Malaysia—the Malaysian Consensus. Med J Malaysia. 2021;76:229‐232. [PubMed] [Google Scholar]
  • 278. Techagumpuch A, Pantanakul S, Chansaenroj P. Thai Society for Metabolic and Bariatric Surgery Consensus Guideline on Bariatric Surgery for the Treatment of Obese Patient in Thailand. J Med Assoc Thai. 2020;103:300‐307. [Google Scholar]
  • 279. Seagle HM, Strain GW, Makris A, et al. Position of the American Dietetic Association: weight management. J Am Diet Assoc. 2009;109(2):330‐346. [DOI] [PubMed] [Google Scholar]
  • 280. Appel LJ, Champagne CM, Harsha DW, et al. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA. 2003;289(16):2083‐2093. [DOI] [PubMed] [Google Scholar]
  • 281. Bach‐Faig A, Berry EM, Lairon D, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14(12A):2274‐2284. doi: 10.1017/S1368980011002515 [DOI] [PubMed] [Google Scholar]
  • 282. Chiavaroli L, Viguiliouk E, Nishi SK, et al. DASH dietary pattern and cardiometabolic outcomes: an umbrella review of systematic reviews and meta‐analyses. Nutrients. 2019;11(2):338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283. Ebbeling CB, Leidig MM, Feldman HA, et al. Effects of a low‐glycemic load vs low‐fat diet in obese young adults: a randomized trial. JAMA. 2007;297(19):2092‐2102. [DOI] [PubMed] [Google Scholar]
  • 284. Foster GD, Wyatt HR, Hill JO, et al. Weight and metabolic outcomes after 2 years on a low‐carbohydrate versus low‐fat diet: a randomized trial. Ann Intern Med. 2010;153(3):147‐157. doi: 10.7326/0003-4819-153-3-201008030-00005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285. Livesey G, Taylor R, Livesey HF, et al. Dietary glycemic index and load and the risk of type 2 diabetes: a systematic review and updated meta‐analyses of prospective cohort studies. Nutrients. 2019;11(6):1280. doi: 10.3390/nu11061280 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286. Sacks FM, Obarzanek E, Windhauser MM, et al. Rationale and design of the Dietary Approaches to Stop Hypertension trial (DASH). A multicenter controlled‐feeding study of dietary patterns to lower blood pressure. Ann Epidemiol. 1995;5(2):108‐118. doi: 10.1016/1047-2797(94)00055-X [DOI] [PubMed] [Google Scholar]
  • 287. Soltani S, Shirani F, Chitsazi MJ, et al. The effect of dietary approaches to stop hypertension (DASH) diet on weight and body composition in adults: a systematic review and meta‐analysis of randomized controlled clinical trials. Obes Rev. 2016;17(5):442‐454. [DOI] [PubMed] [Google Scholar]
  • 288. Thomas DE, Elliott EJ, Baur L. Low glycaemic index or low glycaemic load diets for overweight and obesity. Cochrane Database Syst Rev. 2007;2007(3):CD005105. doi: 10.1002/14651858.CD006296 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289. Nordmann AJ, Nordmann A, Briel M, et al. Effects of low‐carbohydrate vs low‐fat diets on weight loss and cardiovascular risk factors: a meta‐analysis of randomized controlled trials. Arch Intern Med. 2006;166(3):285‐293. [DOI] [PubMed] [Google Scholar]
  • 290. Leeds AR. Formula food‐reducing diets: a new evidence‐based addition to the weight management tool box. Nutr Bull. 2014;39(3):238‐246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291. Heymsfield SB, van Mierlo CA, van der Knaap HC, et al. Weight management using a meal replacement strategy: meta and pooling analysis from six studies. Int J Obes Relat Metab Disord. 2003;27(5):537‐549. doi: 10.1038/sj.ijo.0802258 [DOI] [PubMed] [Google Scholar]
  • 292. Mulholland Y, Nicokavoura E, Broom J, et al. Very‐low‐energy diets and morbidity: a systematic review of longer‐term evidence. Br J Nutr. 2012;108(5):832‐851. [DOI] [PubMed] [Google Scholar]
  • 293. Johansson K, Neovius M, Hemmingsson E. Effects of anti‐obesity drugs, diet, and exercise on weight‐loss maintenance after a very‐low‐calorie diet or low‐calorie diet: a systematic review and meta‐analysis of randomized controlled trials. Am J Clin Nutr. 2014;99(1):14‐23. doi: 10.3945/ajcn.113.070052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 294. Estruch R, Ros E, Salas‐Salvado J, et al. Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra‐virgin olive oil or nuts. N Engl J Med. 2018;378(25):e34. [DOI] [PubMed] [Google Scholar]
  • 295. European Association for the Study of the Liver . EASL‐EASD‐EASO Clinical Practice Guidelines for the management of non‐alcoholic fatty liver disease. J Hepatol. 2016;64(6):1388‐1402. [DOI] [PubMed] [Google Scholar]
  • 296. Viguiliouk E, Kendall CW, Kahleová H, et al. Effect of vegetarian dietary patterns on cardiometabolic risk factors in diabetes: a systematic review and meta‐analysis of randomized controlled trials. Clin Nutr. 2019;38(3):1133‐1145. [DOI] [PubMed] [Google Scholar]
  • 297. Welton S, Minty R, O'Driscoll T, et al. Intermittent fasting and weight loss: systematic review. Can Fam Physician. 2020;66(2):117‐125. [PMC free article] [PubMed] [Google Scholar]

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