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Journal of Obesity & Metabolic Syndrome logoLink to Journal of Obesity & Metabolic Syndrome
. 2019 Dec 30;28(4):225–235. doi: 10.7570/jomes.2019.28.4.225

Nutritional Management in Childhood Obesity

Jieun Kim 1, Hyunjung Lim 1,2,*
PMCID: PMC6939706  PMID: 31909365

Abstract

The increasing prevalence of overweight and obese children and adolescents poses a major concern worldwide. Dietary practice in these critical periods affects physical and cognitive development and has consequences in later life. Therefore, acquiring healthy eating behaviors that will endure is important for children and adolescents. Nutrition management has been applied to numerous childhood obesity intervention studies. Diverse forms of nutrition education and counseling, key messages, a Mediterranean-style hypocaloric diet, and nutritional food selection have been implemented as dietary interventions. The modification of dietary risk in terms of nutrients, foods, dietary patterns, and dietary behaviors has been applied to changing problematic dietary factors. However, it is not easy to identify the effectiveness of nutritional management because of the complex and interacting components of any multicomponent approach to intervention in childhood obesity. In this review, we describe the modifiable dietary risk factors and nutritional components of previous nutrition intervention studies for nutritional management in childhood obesity. Furthermore, we suggest evidence-based practice in nutrition care for obese children and adolescents by considering obesity-related individual and environmental dietary risk factors.

Keywords: Pediatric obesity, Nutrition therapy, Diet therapy

INTRODUCTION

The childhood obesity epidemic has reached 124 million individuals, and nearly one in five children and adolescents are overweight or obese.1 The worldwide trend in childhood obesity shows a steadily increasing body mass index (BMI) in children and adolescents across four decades. In East and South Asia, including South Korea, the BMI increase among children and adolescents has accelerated since 2000.2 The prevalence of obesity in children and adolescents increased from 11.6% in 2008 to 17.3% in 2017.3 Obesity in early life is of concern due to health consequences and its influence on later life.4 Increased adiposity levels are strongly associated with developing metabolic disorders and signs of adverse cardiometabolic diseases.5 The severity of these comorbidities typically increases with the severity of the obesity.6

Dietary- and health-related behaviors and food preferences are established in early childhood and continue into adulthood.7 Poor food choices and overconsumption are associated with a higher risk of developing obesity.8 The prevalence of diet-related metabolic disorders such as obesity, glucose intolerance, elevated blood pressure, and dyslipidemia is increasing due to unbalanced food intake among adolescents.9 Dietary factors are the most important factors associated with childhood obesity,10 and prevalence rates of nutrition-related noncommunicable diseases such as obesity and diabetes in children and adolescents have prompted prioritizing healthy diets.1

Dietary intervention and multisectoral approach intervention studies have reported positive changes in body composition and dietary factors for overweight and obese children and adolescents.1116 Dietary components such as energy-dense foods, sugar-sweetened beverages (SSBs) and patterns of processed food consumption are discussed among the modifiable risk factors associated with obesity in children and adolescents.1719 In the present review, we describe the dietary risk factors associated with childhood obesity and summarize the previous efforts at nutrition management in multisectoral interventions. In addition, we suggest customized nutrition care for obese children and adolescents to improve young children’s dietary factors.

DIETARY RISK FACTORS IN CHILDHOOD OBESITY

Numerous diet-related modifiable risk factors (nutrients, foods, dietary patterns, and eating behaviors) have been considered in previous clinical research studies and suggested in guidelines on childhood obesity (Table 1). A higher intake of saturated fats and carbohydrates, including the overconsumption of energy-dense foods such as pizza, soda, and SSBs, has been associated with obesity in children and adolescents.20,21 Dietary patterns during childhood have identified associations between diet and diseases such as diabetes, hypertension, cardiometabolic risk, and childhood obesity.4,18,22 The Western dietary pattern, which contains high amounts of saturated fatty acids, is energy-dense, is micronutrient poor, and is limited in non-starch polysaccharides (fiber), is known to be a dietary risk factor encouraging childhood obesity.17,23 Diet patterns that are rich in meat, soda, fried food, instant noodles, burgers, and pizza increased the risk of obesity by 30% compared to diet patterns rich in whole grains, legumes, potatoes, fish, mushrooms, seaweed, fruits, and vegetables.24

Table 1.

Diet-related modifiable factors affecting childhood obesity

Factor Harmful Beneficial
Nutrient
  • - Excessive intake of total energy, proteins (from animal products), fat, saturated fat, sodium17,28

  • - Adequate intake of vitamins C and D, non-starch polysaccharides (fiber), calcium, folate, iron17,29,36

Food
  • - Excessive intake of energy-dense foods: pizza, fast food, discretionary food, soda, sugar-sweetened beverages, and ice cream23,27,34

  • - Adequate intake of whole grains30,31

  • - Low daily consumption of milk, fruits, vegetables, fish37,38

Dietary pattern
  • - Westernized dietary patterns high in saturated fatty acids, dense in energy, and poor in micronutrients17,18,23

  • - Processed food dietary patterns, including meat, soda, fried food, instant noodles, burgers, and pizza24

  • - Balanced diet based on five food groups17,2831

  • - Stop-light/traffic-light diet, with food divided into three categories: green (low-energy, high-nutrient foods), yellow (moderate-energy foods), and red (high-energy, low-nutrient foods)39,40

Dietary behaviors and eating habits
  • - Eating while watching TV19

  • - Skipping breakfast26,27

  • - Frequent snacking and eating19

  • - Family mealtimes, eating together19,32

  • - Portion control29,33

  • - Regular mealtimes19,32,33

Guidelines and recommendations1719,23,24,2634,3640 of diet-related modifiable factors for nutritional management in childhood obesity.

Unhealthy eating habits and patterns formed during childhood have been associated with nutrition-related noncommunicable diseases such as obesity and diabetes.25 Sedentary behavior among children and adolescents, higher intake of snacks, consumption of SSBs, fast food consumption, eating while watching television, skipping breakfast, reduced numbers of family meal times spent eating together, and lower daily intake of milk, fruits, and vegetables have all been associated with increased rates of childhood obesity, leading to adverse health and dietary outcomes.26,27

Meanwhile, an adequate nutritional intake of vitamins and minerals, whole grains, milk and dairy products, fruits, and vegetables in a balanced diet has been found to not only protect growth but also manage childhood obesity.17,2831 In addition, it is recommended that proper dietary behaviors with family support include meals at home, eating together as a family, regular mealtimes, and portion sizes appropriate for the daily requirements of children and adolescents.19,32,33

NUTRITION-BASED MULTIDISCIPLINARY INTERVENTION COMPONENTS AFFECTING CHILDHOOD OBESITY

Systematic reviews have suggested that multiple strategies and components and a multilevel approach that focuses on diet and health-related activities have provided the most sustainable and beneficial effects on childhood obesity intervention, rather than single-component interventions.34,35 Furthermore, social support such as individualized coaching, text messaging, face-to-face communication, and Internet-based approaches with a theoretical background have been adapted to change obesity-related dietary behaviors in children and adolescents.1216,4143 The most promising approaches for childhood obesity management are intervening with support at levels ranging from individual to community via sustainable and multisectoral strategies.44

Let’s Move was a program of the U.S. government in collaboration with the American Academy of Pediatrics intended to provide Internet-based resources for BMI and diet and to develop activity screening in primary care, including counseling and advocacy methods for healthcare professionals.11 Consistent with this initiative, innovative use of health information technology was implemented via individualized coaching for behavior change,12 text messaging to provide outreach support for obesity management,41 and study-specific website and email programs, which had achievements similar to those found with face-to-face support.42

The B’More Healthy Communities for Kids trial was a multilevel childhood obesity prevention intervention guided by social cognitive theory, social ecology, and systems theory. According to these theories, psychosocial factors, social-environmental factors, and physical factors interact at multiple levels to shape health-related outcomes.13 In this study, wholesalers, corner stores, take-out restaurants, recreation centers, and households worked together to improve availability, purchasing, and consumption of healthier foods and beverages (low sugar, low fat) in low-income African American zones in the city of Baltimore, MD, USA.13

The Childhood Obesity Demonstration (CORD) project was designed to cover 4 years, including three grantees, Massachusetts (MA CORD), California (CA CORD), and Texas (TX CORD), funded by the Centers for Disease Control and Prevention.14 This set of three unique multilevel, multi-setting demonstration projects aimed to prevent childhood obesity by supporting healthy eating and active living among 2- to 12-year-old children. The results from the MA CORD study included changes in organizational policies and environments to better support healthy living and improvements in health behaviors of children, parents, and stakeholders.15

The identification and prevention of dietary- and lifestyle-induced health effects in children and infants (IDEFICS) study was developed by eight European countries to implement and evaluate diet- and lifestyle-related diseases and was strongly focused on childhood obesity in a large population-based cohort of 16,228 European children aged 2 to 9 years.16 The IDEFICS intervention focused on the three main concepts of nutrition, physical activity, and stress, and it formulated six key messages. The prospective study reported that children consistently allocated to the “processed” cluster increased their BMI, waist circumference, and fat mass gain compared to children allocated to the “healthy” cluster. Being in the “processed”–“sweet” cluster combination was also linked to increased BMI, waist circumference, and fat mass gain over time compared to the “healthy” cluster.43

RECENT DIETARY INTERVENTIONS AND OUTCOMES

We performed a systematic review of the literature for identifying the effectiveness of nutritional interventions using the electronic databases PubMed, Cochrane Library, and Web of Science, covering the past 5 years (2015 through August 2019). The following search terms were used: childhood obesity, obese children and adolescents, nutritional intervention, and dietary outcomes. Trials published in English were included in this study; the primary outcomes examined were energy, nutrient intake, fruit and vegetable consumption, and dietary behaviors.

Dietary interventions

Only articles on dietary outcomes were extracted from the databases by two researchers. Six studies4550 are summarized in Table 2 among the dietary intervention studies that were selected by titles and abstracts. Nutritional components (nutrition education, key messages, Mediterranean-style hypocaloric diet, and nutritional food selection) and outcomes (energy and nutrient intake; fruit, vegetable, and dairy product consumption; and dietary behaviors) of the dietary intervention studies are presented in Table 2.

Table 2.

Changes in dietary factors and weight status of children and adolescents after participating in nutritional interventions

Study Subject Duration Intervention Nutritional component Outcome*
Amini et al. (2016)45 (n=334)
Fourth to sixth grades, overweight or obese, based on World Health Organization standards
18 wk Nutrition education and increased PA for the pupils, lifestyle modification for the parents, and changes in food items sold at the schools’ cafeterias.
  1. Provided face-to-face training, the book General Knowledge of Nutrition whenever necessary, and a guide for health instructors; 15 to 45 minutes, once a week; 12 weekly sessions; concepts of overweight and obesity, food groups and energy, and obesogenic situations and strategies to overcome them

  2. No nutrition education

Only the intervention reduced BMI z-score
Smith et al. (2015)46 (n=69)
Aged 11–16 years, a BMI for age and sex above the 85th percentile
8 wk (follow-up 12 mo) Twice-weekly group sessions at local community site (CAFAP) targeting the PA, sedentary behavior, and healthy eating behaviors of overweight adolescents 12 Group education sessions with parents and adolescents together regarding general nutrition, energy balance, food labeling, diet variety, fast food, lunchbox food, portion size, and recipe modification, with the key messages reinforced in each session; cooking classes focusing on the preparation of healthy foods containing fruits and vegetables Energy intake (kJ)↑, protein (g)↑, fat (g)↑, saturated fat (g)↓, carbohydrate (g)↓, sugar (g)↓, fiber (g)↑
Self-reported eating behaviors↑
Frequency of breakfast↓, frequency of fast food↓, frequency of sweetened beverages↓, perceived daily fruit servings↑, perceived daily
Vegetable servings↑
Ojeda-Rodríguez et al. (2018)47 (n=107)
Aged 7–16 years, waist circumference above the 90th percentile according to national data
8 wk (follow-up 22 mo, ongoing); data present only for 8 wk
  1. Moderate hypocaloric Mediterranean diet and received nutritional education

  2. A 30-min individual session with the dietitian and five monitoring visits to assess anthropometric parameters

  1. Children were taught several topics such as food preparation, portion control, eating behavior, food composition. Intensive care participants followed a Mediterranean-style diet based on high consumption of fruit, vegetables, whole grains, legumes, nuts, seeds, and olive oil, minimally processed foods; moderate consumption of dairy products, fish, and poultry; and low consumption of red meat.

  1. Energy (kcal/day)↓, Carbohydrate (g/day)↓, Fiber (g/day)↑, Protein (g/day)↓, Total Fat (g/day)↓ Fruits (g/day)↑, vegetables (g/day)↑, dairy products↑, meat (g/day)↓, fish (g/day)↑, sweets (g/day)↓

  2. Energy (kcal/day)↓, carbohydrate (g/day)↓, fiber (g/day)↑, protein (g/day)↓, total fat (g/day)↓ Fruits (g/day)↑, vegetables (g/day)↑, dairy products↑, meat (g/day)↓, fish (g/day)↑, sweets (g/day)↓

    Significant reduction in BMI standard deviation score in both groups

Kustiani et al. (2015)48 (n=90)
Aged 10–15 years, obese
5 wk
  1. Nutrition education and PA intervention

  2. Nutrition education and fruit intervention

  3. Nutrition education, PA and fruit intervention

Nutrition education intervention was conducted for 30 minutes every week. Intervention of fruit was conducted on every school day (5 times/wk) with 1–2 servings of fruit.
  1. Fiber intake↑

  2. Fiber intake↑

  3. Fiber intake↑

    Body weight decreased in (1, 3) exception of (2)

Serra-Paya et al. (2015)49 (n=113)
Aged 6–12 years, overweight or obese
8 mo
  1. Family-based multicomponent behavioral intervention

  2. Usual advice from their pediatrician on healthy eating and PA

Three behavior strategy sessions were designed to reinforce the acquisition of healthier PA and eating habits within the family.
  1. Fruits (pieces/day)↑, processed meats (servings/day)↓, fish (servings/day)↑, vegetables (servings/day)↑, legumes/pulses (servings/day)↑, superfluous foods (servings/day)↓, sugar-sweetened juices and soft drinks (servings/day)↓

  2. Fruits (pieces/day)↑, processed meats (servings/day)↓, fish (servings/day)↓, vegetables (servings/day)↑, legumes/pulses (servings/day)↑, superfluous foods (servings/day)↓, sugar-sweetened juices and soft drinks (servings/day)↓

    No significant difference of BMI between the two groups at post intervention

Llauradó et al. (2018)50 (n=349)
13- to 15-year-old adolescents with childhood obesity
4-yr follow-up Twelve educational intervention activities that focused on eight lifestyle topics selected based on scientific evidence to improve nutritional food selection, healthy habits, and overall adoption of behaviors that encourage PA
  1. To encourage the intake of healthy drinks (and the avoidance of unhealthy carbonated sweetened beverages)

  2. To increase the consumption of vegetables and legumes

  3. To decrease the consumption of candies and pastries while increasing the intake of fresh fruits and nuts (second year)

  4. To increase fruit intake

  5. To improve dairy product consumption and to increase fish consumption

Only the intervention girls showed reduced BMI z-scores.
*

Outcomes: (after the intervention) ↑: increase, ↓: decrease.

PA: physical activity; BMI, body mass index; CAFAP: Curtin University’s Activity, Food and Attitudes Program.

Nutrition education was delivered by health instructors at selected schools. Face-to-face training was used, with a book for guidance when necessary, for weekly nutrition sessions for the participants. Monthly lifestyle education sessions focusing on childhood obesity and its causes, cooking methods, and plans to reduce inactivity were provided to parents of the participants.45 Curtin University’s Activity, Food and Attitudes Program (CAFAP) study focused on healthy food choices and key messages: eat more fruit; eat more vegetables; and eat less junk food. Regarding general nutritional themes, energy balance, food labeling, diet variety, fast food, lunchbox food, portion size, and recipe modification were the key topics reinforced in each session, delivered in 12 group education sessions with parents and adolescents together. Parents took part in nutritional sessions and in practical training in shopping at a supermarket and cooking classes for healthy foods such as fruits and vegetables.46

The Intervention Grupo Navarro de Estudio de la Obe- sidad Infantil study consisted of an 8-week phase and a 2-year follow-up program. The usual care group received standard pediatric recommendations and anthropometric measurements, while the intensive care group was advised to adhere to a Mediterranean-style hypocaloric diet. Nutritional theme-based topics included controlling healthy lifestyle behavior, food preparation, portion control, eating behavior, food composition, and the importance of being physically active during leisure time. In addition, information on healthy lifestyles and how to manage obesity-related problems was provided to the caregivers by dietitians.48

The Nereu Program (NP) was an intensive, 8-month, family-based, multicomponent behavioral intervention on healthy eating and physical activity in 6- to 12-year-old children who were overweight and obese. The NP consisted of the following four components: physical activity, family theoretical and practical training for parents, a behavioral component for both children and parents, and activities. For the usual treatment group, a 10-minute monthly family meeting based on the same NP components was provided over an 8-month period. Based on the food frequency questionnaire and main nutritional characteristics, the intervention addressed the following foods for participants and their families: all fruits, which have high levels of antioxidants, fiber, and vitamins; processed meats, which contain fatty acids; superfluous foods characterized by a high level of lipid content and/or simple sugars; and soft drinks, which have a high simple sugar content without nutrients.49

The school-based Educació en Alimentació (the EdAl study)50 program was designed to verify the sustainability of the benefits from a previous EdAl study by assessing the obesity-related outcomes and lifestyles of 13- to 15-year-old adolescents. The EdAl program was comprised of 12 educational intervention activities that were based on improving health-related habits such as nutritional food selection, hand washing, and avoiding sedentary behavior.50

Outcomes

Energy and nutrient intake

Two studies reported higher energy, protein, and fat intake after the intervention compared to baseline.45,46 Despite the lack of positive changes in macronutrient intake, lower levels of saturated fat and sugar consumption were presented in the CAFAP cohort study. In another multidisciplinary intervention study, lower energy intake and macronutrient intake were reported after the dietary intervention (at 8 weeks) in both the usual care group and the intensive care group.47

Consumption of fruits, vegetables, and dairy products

Improvements in consumption of fruits and vegetables among the children and adolescents were reported in three of the multicomponent-approach intervention studies.4649 Smith et al.46 stated that perceived fruit consumption and vegetable consumption of the participants were higher after the dietary intervention. Ojeda-Rodríguez et al.47 and Serra-Paya et al.49 presented higher levels of dairy product consumption as well as fruit and vegetable consumption after the intervention in both groups. Meanwhile, a 4-year follow-up study showed decreased consumption of dairy products, fruits, and fish among children and adolescents.50

Unhealthy dietary behaviors

Lower consumption levels of sugar-sweetened juices and soft drinks and sweet, superfluous foods (cookies, pastries, dairy-based desserts, and French fries, which contain high levels of lipids and/or simple sugars) were shown after the dietary intervention in three of the preceding studies.46,47,49

Body composition

Most of the studies showed decreased BMI z-scores of obese children and adolescents after 6 weeks to 6 months for each of the intervention studies. Theme-based nutritional sessions, involving portion size and food groups,51 feelings of hunger and satisfaction,52 nutrition counseling and phone calls,53 nutrition education group sessions and leaflets for caregivers,54 healthful and balanced diet with fruits and vegetables,55 and healthy beverage intake and increased consumption of fruits, nuts, legumes, vegetables, fish, and dairy products50 were implemented in childhood obesity intervention studies (data not shown).

EFFECTS OF INDIVIDUALIZED NUTRITIONAL MANAGEMENT ON CHILDHOOD OBESITY

There are numerous risk factors for obesity in children and adolescents, and these factors interact with a high level of complexity. The nutritional care process model (NCP)56 (Fig. 1) could be adapted well to this complex task through dietitian-delivered lifestyle interventions.57 The Academy of Nutrition and Dietetics developed the NCP, a highly qualified systematic approach to care, by employing four interrelated steps: nutritional assessment, diagnosis, intervention, and monitoring/evaluation. There is a requirement for standardizing the NCP and increasing the quality and consistency of nutritional care by using the International Dietetics and Nutrition Terminology (IDNT).58,59 Previously, we developed a study protocol60 to manage the dietary problems of moderately to severely obese children and adolescents by adopting the NCP and IDNT. Three general domains—nutrition intake, nutrition clinical, and nutritional behavioral—were employed for nutritional diagnosis (Table 3). Nutrition diagnosis is the act of identifying a disease or condition from its signs and symptoms by a dietetics profession. An identified nutritional problem is summarized into a structured sentence called a PES (Problem, Etiology, Symptom) statement. This statement is linked by the connecting terms problem/nutrition diagnosis related to etiology as evidenced by the signs and symptoms. The identified etiology, signs and symptoms point to a certain type of nutrition intervention and monitoring/evaluation that is needed. It is an important process in the implementation of a nutrition intervention and monitoring/evaluation of the NCP. A structured recommendation for nutritional management of childhood obesity was presented as a tool in another research study that helped practitioners structure their actions according to the four interrelated steps of the NCP model. This practice-based, evidence-informed approach assisted not only the dietitians but also the professionals in pediatric obesity. The NCP four-step structured framework made it possible to structure patient-centered nutritional care and management of childhood obesity.61

Figure 1.

Figure 1

Nutrition Care Process and Model. Academy of Nutrition and Dietetics. Adapted from Lacey and Pritchett. J Am Diet Assoc 2003;103:1061–72, with permission from Elsevier.56

Table 3.

Adoptable nutrition diagnosis of NCP components employed while using IDNT for childhood obesity

Domain IDNT Nutrition diagnosis
Nutrition intake*: actual problems related to intake of energy, nutrients through eating Excessive energy intake Related to unwillingness in reducing intake as evidenced by excessive energy intake compare with DRIs
Excessive oral intake Related to lack of value for behaviour change or competing values as evidenced by intake or overconsumption of energy-dense foods for meal (or snack)
Excessive fat intake Related to limited access to healthy food choice, as evidenced by frequent high-fat food intake (or overconsumption)
Excessive carbohydrate intake Related to food and nutrition knowledge deficit as evidenced by FBG >120 mg/dL or continuous carbohydrate overconsumption compared with DRIs

Nutrition clinical: nutritional findings/problems identified that relate to medical or physical conditions Obesity As evidenced by BMI for sex, age: ≥95th %tile

Nutrition behavioural: nutritional findings/problems identified that related to knowledge, attitude/belief, physical environments, access to food, or food safety Food- and nutrition-related knowledge deficit Related to lack of prior exposure to accurate nutrition-related information, as evidenced by deficit in food and nutrition-related recommendations knowledge
Not ready for diet/lifestyle change Related to denial of need to change, as evidenced by negative attitude and facial expressions or failure to make a future visit
Self-monitoring deficit Related to unwillingness or disinterest in tracking progress, as evidenced by anger or embarrassment about changes based on self-monitoring
Limited adherence to nutrition-related recommendations Related to lack of value for behaviour change or competing values, as evidenced by low or irregular compliance about planning
Inability or lack of desire to manage self-care Related to not being ready for diet/lifestyle change as evidenced by lack of confidence about changes, based on self-monitoring record
*

Defined as “actual problems related to intake of energy, nutrients, fluids, bioactive substances through oral diet or nutrition support”;

Defined as “nutritional findings/problems related to medical or physical conditions”;

Defined as “nutritional findings/problems that relate to knowledge, attitudes/beliefs, physical environment, access to food, or food safety.”

NCP, nutritional care process model; IDNT, International Dietetics and Nutrition Terminology; DRI, dietary reference intake; FBG, fasting blood glucose; BMI, body mass index.

CONCLUSION

Dietary intervention with a multisectoral approach has had positive outcomes in modifying obesity-related dietary risk factors for obese children and adolescents. Excellent results from previous meta-analyses have reported a reduction in SSB intake and changes in body fatness,62 reduction in high-fat food and sugary beverages, increased intake of fruits and vegetables, reduction in snacks, and maintenance of a balanced diet.63

These positive changes were found immediately after the intervention; however, unfavorable outcomes were reported after long-term follow-up in terms of weight fluctuation, increased energy intake, macronutrient intake, and unhealthy dietary behaviors. Furthermore, it is hard to distinguish isolated impacts of nutrition care in childhood obesity because of the complex and interacting components of the multidisciplinary interventions.64 Behavioral modification and motivational interviewing on the health and diet of children and adolescents, to improve their self-control and mindful eating for sustainable healthy weight and nutritional status, are required to provide nutritional education and management.

From this viewpoint, evidence-based practice in dietary problem solving can suggest effective methods by considering behavioral and environmental risk factors in a diet and providing tailored nutritional therapy according to the stages of change among children and adolescents. In spite of these beneficial effects, we are facing barriers to providing this intervention due to the time and cost of developing more methods for countering childhood obesity. For this reason, individual, familial, social, and political-level involvement are recommended for effective and sustainable nutritional management of childhood obesity. In addition, practical key messages for health and diet may be helpful in establishing healthful habits and lifestyles in this public health crisis.

ACKNOWLEDGMENTS

We thank Seran Choi and Nayoung Kim from Kyung Hee University for assisting with the review and identifying recent intervention studies.

Footnotes

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

Study concept and design: HL; analysis and interpretation of data: JK; drafting of the manuscript: all authors; critical revision of the manuscript: all authors; administrative, technical, or material support: JK; and study supervision: HL.

REFERENCES

  • 1.Nishtar S, Gluckman P, Armstrong T. Ending childhood obesity: a time for action. Lancet. 2016;387:825–7. doi: 10.1016/S0140-6736(16)00140-9. [DOI] [PubMed] [Google Scholar]
  • 2.NCD Risk Factor Collaboration (NCD-RisC) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390:2627–42. doi: 10.1016/S0140-6736(17)32129-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ministry of Education. Report on student health checkup 2017. Sejong: Ministry of Education; 2018. [Google Scholar]
  • 4.Sabin MA, Kiess W. Childhood obesity: current and novel approaches. Best Pract Res Clin Endocrinol Metab. 2015;29:327–38. doi: 10.1016/j.beem.2015.04.003. [DOI] [PubMed] [Google Scholar]
  • 5.Cruz ML, Goran MI. The metabolic syndrome in children and adolescents. Curr Diab Rep. 2004;4:53–62. doi: 10.1007/s11892-004-0012-x. [DOI] [PubMed] [Google Scholar]
  • 6.Skinner AC, Perrin EM, Moss LA, Skelton JA. Cardiometabolic risks and severity of obesity in children and young adults. N Engl J Med. 2015;373:1307–17. doi: 10.1056/NEJMoa1502821. [DOI] [PubMed] [Google Scholar]
  • 7.Mikkilä V, Räsänen L, Raitakari OT, Marniemi J, Pietinen P, Rönnemaa T, et al. Major dietary patterns and cardiovascular risk factors from childhood to adulthood: the cardiovascular risk in young finns study. Br J Nutr. 2007;98:218–25. doi: 10.1017/S0007114507691831. [DOI] [PubMed] [Google Scholar]
  • 8.Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81. doi: 10.1016/S0140-6736(14)60460-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Eisenmann JC. Secular trends in variables associated with the metabolic syndrome of North American children and adolescents: a review and synthesis. Am J Hum Biol. 2003;15:786–94. doi: 10.1002/ajhb.10214. [DOI] [PubMed] [Google Scholar]
  • 10.Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70:3–21. doi: 10.1111/j.1753-4887.2011.00456.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Executive Office of the Force WH. Solving the problem of childhood obesity within a generation: White House Task force report on childhood obesity report to the president. Washington (DC): Executive Office of the Force WH; 2010. [Google Scholar]
  • 12.Taveras EM, Marshall R, Kleinman KP, Gillman MW, Hacker K, Horan CM, et al. Comparative effectiveness of childhood obesity interventions in pediatric primary care: a cluster-randomized clinical trial. JAMA Pediatr. 2015;169:535–42. doi: 10.1001/jamapediatrics.2015.0182. [DOI] [PubMed] [Google Scholar]
  • 13.Gittelsohn J, Trude AC, Poirier L, Ross A, Ruggiero C, Schw-endler T, et al. The impact of a multi-level multi-component childhood obesity prevention intervention on healthy food availability, sales, and purchasing in a low-income urban area. Int J Environ Res Public Health. 2017;14:E1371. doi: 10.3390/ijerph14111371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dooyema CA, Belay B, Blanck HM. Implementation of multisetting interventions to address childhood obesity in diverse, lower-income communities: CDC’s childhood obesity research demonstration projects. Prev Chronic Dis. 2017;14:E140. doi: 10.5888/pcd14.170491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ganter C, Aftosmes-Tobio A, Chuang E, Kwass JA, Land T, Davison KK, et al. Lessons learned by community stakeholders in the Massachusetts childhood obesity research demonstration (MA-CORD) project, 2013–2014. Prev Chronic Dis. 2017;14:E08. doi: 10.5888/pcd14.160273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ahrens W, Siani A, Adan R, De Henauw S, Eiben G, Gwozdz W, et al. Cohort profile: the transition from childhood to adolescence in European children-how I: family extends the IDEFICS cohort. Int J Epidemiol. 2017;46:1394–5j. doi: 10.1093/ije/dyw317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.World Health Organization. Diet, nutrition and the prevention of chronic diseases: report of the joint WHO/FAO expert consultation. Geneva: World Health Organization; 2003. (WHO Technical Report Series 916). [PubMed] [Google Scholar]
  • 18.Appannah G, Pot GK, Huang RC, Oddy WH, Beilin LJ, Mori TA, et al. Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence. Nutr Metab Cardiovasc Dis. 2015;25:643–50. doi: 10.1016/j.numecd.2015.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Baker JL, Farpour-Lambert NJ, Nowicka P, Pietrobelli A, Weiss R Childhood Obesity Task Force of the European Association for the Study of Obesity. Evaluation of the overweight/obese child--practical tips for the primary health care provider: recommendations from the Childhood Obesity Task Force of the European Association for the Study of Obesity. Obes Facts. 2010;3:131–7. doi: 10.1159/000295112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Shin SM. Association of meat intake with overweight and obesity among school-aged children and adolescents. J Obes Metab Syndr. 2017;26:217–26. doi: 10.7570/jomes.2017.26.3.217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Crowe TC, Fontaine HL, Gibbons CJ, Cameron-Smith D, Swinburn BA. Energy density of foods and beverages in the Australian food supply: influence of macronutrients and comparison to dietary intake. Eur J Clin Nutr. 2004;58:1485–91. doi: 10.1038/sj.ejcn.1601994. [DOI] [PubMed] [Google Scholar]
  • 22.Panagiotakos D, Pitsavos C, Chrysohoou C, Palliou K, Lentzas I, Skoumas I, et al. Dietary patterns and 5-year incidence of cardiovascular disease: a multivariate analysis of the ATTICA study. Nutr Metab Cardiovasc Dis. 2009;19:253–63. doi: 10.1016/j.numecd.2008.06.005. [DOI] [PubMed] [Google Scholar]
  • 23.Kim JA, Kim SM, Lee JS, Oh HJ, Han JH, Song Y, et al. Dietary patterns and the metabolic syndrome in Korean adolescents: 2001 Korean National Health and Nutrition Survey. Diabetes Care. 2007;30:1904–5. doi: 10.2337/dc06-2591. [DOI] [PubMed] [Google Scholar]
  • 24.Shin HJ, Cho E, Lee HJ, Fung TT, Rimm E, Rosner B, et al. Instant noodle intake and dietary patterns are associated with distinct cardiometabolic risk factors in Korea. J Nutr. 2014;144:1247–55. doi: 10.3945/jn.113.188441. [DOI] [PubMed] [Google Scholar]
  • 25.Popkin BM, Gordon-Larsen P. The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord. 2004;28(Suppl 3):S2–9. doi: 10.1038/sj.ijo.0802804. [DOI] [PubMed] [Google Scholar]
  • 26.Han JC, Lawlor DA, Kimm SY. Childhood obesity. Lancet. 2010;375:1737–48. doi: 10.1016/S0140-6736(10)60171-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Timlin MT, Pereira MA, Story M, Neumark-Sztainer D. Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens) Pediatrics. 2008;121:e638–45. doi: 10.1542/peds.2007-1035. [DOI] [PubMed] [Google Scholar]
  • 28.Diethelm K, Huybrechts I, Moreno L, De Henauw S, Manios Y, Beghin L, et al. Nutrient intake of European adolescents: results of the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr. 2014;17:486–97. doi: 10.1017/S1368980013000463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hoppu U, Lehtisalo J, Tapanainen H, Pietinen P. Dietary habits and nutrient intake of Finnish adolescents. Public Health Nutr. 2010;13:965–72. doi: 10.1017/S1368980010001175. [DOI] [PubMed] [Google Scholar]
  • 30.Koo HC, Poh BK, Abd Talib R. The GReat-ChildTM Trial: a quasi-experimental intervention on whole grains with healthy balanced diet to manage childhood obesity in Kuala Lumpur, Malaysia. Nutrients. 2018;10:E156. doi: 10.3390/nu10020156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Papanikolaou Y, Jones JM, Fulgoni VL., 3rd Several grain dietary patterns are associated with better diet quality and improved shortfall nutrient intakes in US children and adolescents: a study focusing on the 2015–2020 Dietary Guidelines for Americans. Nutr J. 2017;16:13. doi: 10.1186/s12937-017-0230-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Fitch A, Fox C, Bauerly K, Gross A, Heim C, Judge-Dietz J, et al. Prevention and management of obesity for children and adolescents [Internet] Bloomington, Minnesota: Institute for Clinical Systems Improvement; 2013. [cited 2019 Nov 20]. Available from: https://jesse.tg/ngc-archive/summary/10019. [Google Scholar]
  • 33.Ministry of Health. Clinical guidelines for weight management in New Zealand children and young people. Wellington: Ministry of Health; 2016. [Google Scholar]
  • 34.Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006;1:11–25. doi: 10.1080/17477160600586747. [DOI] [PubMed] [Google Scholar]
  • 35.Matricciani L, Olds T, Petkov J. In search of lost sleep: secular trends in the sleep time of school-aged children and adolescents. Sleep Med Rev. 2012;16:203–11. doi: 10.1016/j.smrv.2011.03.005. [DOI] [PubMed] [Google Scholar]
  • 36.Libuda L, Alexy U, Buyken AE, Sichert-Hellert W, Stehle P, Kersting M. Consumption of sugar-sweetened beverages and its association with nutrient intakes and diet quality in German children and adolescents. Br J Nutr. 2009;101:1549–57. doi: 10.1017/S0007114508094671. [DOI] [PubMed] [Google Scholar]
  • 37.Myszkowska-Ryciak J, Harton A, Lange E, Laskowski W, Gajewska D. Nutritional behaviors of polish adolescents: results of the wise nutrition-healthy generation project. Nutrients. 2019;11:E1592. doi: 10.3390/nu11071592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Abreu S, Santos R, Moreira C, Vale S, Santos PC, Soares-Miranda L, et al. Association between dairy product intake and abdominal obesity in Azorean adolescents. Eur J Clin Nutr. 2012;66:830–5. doi: 10.1038/ejcn.2012.32. [DOI] [PubMed] [Google Scholar]
  • 39.Academy of Nutrition and Dietetics. Pediatric weight management: major recommendations. Cleveland (OH): Academy of Nutrition and Dietetics; 2015. [Google Scholar]
  • 40.Hoelscher DM, Kirk S, Ritchie L, Cunningham-Sabo L Academy Positions Committee. Position of the Academy of Nutrition and Dietetics: interventions for the prevention and treatment of pediatric overweight and obesity. J Acad Nutr Diet. 2013;113:1375–94. doi: 10.1016/j.jand.2013.08.004. [DOI] [PubMed] [Google Scholar]
  • 41.Woolford SJ, Clark SJ, Strecher VJ, Resnicow K. Tailored mobile phone text messages as an adjunct to obesity treatment for adolescents. J Telemed Telecare. 2010;16:458–61. doi: 10.1258/jtt.2010.100207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Appel LJ, Clark JM, Yeh HC, Wang NY, Coughlin JW, Daumit G, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011;365:1959–68. doi: 10.1056/NEJMoa1108660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Fernández-Alvira JM, Bammann K, Eiben G, Hebestreit A, Kourides YA, Kovacs E, et al. Prospective associations between dietary patterns and body composition changes in European children: the IDEFICS study. Public Health Nutr. 2017;20:3257–65. doi: 10.1017/S1368980017002361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Dietz WH. Periods of risk in childhood for the development of adult obesity: what do we need to learn? J Nutr. 1997;127:1884S–1886S. doi: 10.1093/jn/127.9.1884S. [DOI] [PubMed] [Google Scholar]
  • 45.Amini M, Djazayery A, Majdzadeh R, Taghdisi MH, Sadrzadeh-Yeganeh H, Abdollahi Z, et al. A school-based intervention to reduce excess weight in overweight and obese primary school students. Biol Res Nurs. 2016;18:531–40. doi: 10.1177/1099800416654261. [DOI] [PubMed] [Google Scholar]
  • 46.Smith KL, Kerr DA, Howie EK, Straker LM. Do overweight adolescents adhere to dietary intervention messages? Twelve-month detailed dietary outcomes from curtin university’s activity, food and attitudes program. Nutrients. 2015;7:4363–82. doi: 10.3390/nu7064363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ojeda-Rodríguez A, Zazpe I, Morell-Azanza L, Chueca MJ, Azcona-Sanjulian MC, Marti A. Improved diet quality and nutrient adequacy in children and adolescents with abdominal obesity after a lifestyle intervention. Nutrients. 2018;10:E1500. doi: 10.3390/nu10101500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Kustiani AI, Madanijah S, Baliwati YF. Changes in fiber intake and body weight of multi-component intervention program among bogor obese children, Indonesia. Pak J Nutr. 2015;14:785–91. doi: 10.3923/pjn.2015.785.791. [DOI] [Google Scholar]
  • 49.Serra-Paya N, Ensenyat A, Castro-Viñuales I, Real J, Sinfreu-Bergués X, Zapata A, et al. Effectiveness of a multi-component intervention for overweight and obese children (Nereu program): a randomized controlled trial. PLoS One. 2015;10:e0144502. doi: 10.1371/journal.pone.0144502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Llauradó E, Tarro L, Moriña D, Aceves-Martins M, Giralt M, Solà R. Follow-up of a healthy lifestyle education program (the EdAl study): four years after cessation of randomized controlled trial intervention. BMC Public Health. 2018;18:104. doi: 10.1186/s12889-017-5006-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Rodriguez-Ventura A, Parra-Solano A, Illescas-Zárate D, Hernández-Flores M, Paredes C, Flores-Cisneros C, et al. “Sacbe”, a comprehensive intervention to decrease body mass index in children with adiposity: a pilot study. Int J Environ Res Public Health. 2018;15:E2010. doi: 10.3390/ijerph15092010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.van der Baan-Slootweg O, Benninga MA, Beelen A, van der Palen J, Tamminga-Smeulders C, Tijssen JG, et al. Inpatient treatment of children and adolescents with severe obesity in the Netherlands: a randomized clinical trial. JAMA Pediatr. 2014;168:807–14. doi: 10.1001/jamapediatrics.2014.521. [DOI] [PubMed] [Google Scholar]
  • 53.de Ferranti SD, Milliren CE, Denhoff ER, Quinn N, Osganian SK, Feldman HA, et al. Providing food to treat adolescents at risk for cardiovascular disease. Obesity (Silver Spring) 2015;23:2109–17. doi: 10.1002/oby.21246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Hidayanty H, Bardosono S, Khusun H, Damayanti R, Kolopaking R. A social cognitive theory-based programme for eating patterns and sedentary activity among overweight adolescents in Makassar, South Sulawesi: a cluster randomised controlled trial. Asia Pac J Clin Nutr. 2016;25(Suppl 1):S83–92. doi: 10.6133/apjcn.122016.s7. [DOI] [PubMed] [Google Scholar]
  • 55.Yli-Piipari S, Berg A, Laing EM, Hartzell DL, Parris KO, Udwadia J, et al. A twelve-week lifestyle program to improve cardiometabolic, behavioral, and psychological health in Hispanic children and adolescents. J Altern Complement Med. 2018;24:132–8. doi: 10.1089/acm.2017.0130. [DOI] [PubMed] [Google Scholar]
  • 56.Lacey K, Pritchett E. Nutrition Care Process and Model: ADA adopts road map to quality care and outcomes management. J Am Diet Assoc. 2003;103:1061–72. doi: 10.1016/S0002-8223(03)00971-4. [DOI] [PubMed] [Google Scholar]
  • 57.Spear BA, Barlow SE, Ervin C, Ludwig DS, Saelens BE, Schetzina KE, et al. Recommendations for treatment of child and adolescent overweight and obesity. Pediatrics. 2007;120(Suppl 4):S254–88. doi: 10.1542/peds.2007-2329F. [DOI] [PubMed] [Google Scholar]
  • 58.Swan WI, Vivanti A, Hakel-Smith NA, Hotson B, Orrevall Y, Trostler N, et al. Nutrition Care Process and Model update: toward realizing people-centered care and outcomes management. J Acad Nutr Diet. 2017;117:2003–14. doi: 10.1016/j.jand.2017.07.015. [DOI] [PubMed] [Google Scholar]
  • 59.Thompson KL, Davidson P, Swan WI, Hand RK, Rising C, Dunn AV, et al. Nutrition care process chains: the “missing link” between research and evidence-based practice. J Acad Nutr Diet. 2015;115:1491–8. doi: 10.1016/j.jand.2015.04.014. [DOI] [PubMed] [Google Scholar]
  • 60.Kim J, Kim YM, Jang HB, Lee HJ, Park SI, Park KH, et al. Evidence-based nutritional intervention protocol for Korean moderate-severe obese children and adolescents. Clin Nutr Res. 2019;8:184–95. doi: 10.7762/cnr.2019.8.3.184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Pfeifflé S, Pellegrino F, Kruseman M, Pijollet C, Volery M, Soguel L, et al. Current recommendations for nutritional management of overweight and obesity in children and adolescents: a structured framework. Nutrients. 2019;11:E362. doi: 10.3390/nu11020362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Avery A, Bostock L, McCullough F. A systematic review investigating interventions that can help reduce consumption of sugar-sweetened beverages in children leading to changes in body fatness. J Hum Nutr Diet. 2015;28(Suppl 1):52–64. doi: 10.1111/jhn.12267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Pamungkas RA, Chamroonsawasdi K. Home-based interventions to treat and prevent childhood obesity: a systematic review and meta-analysis. Behav Sci (Basel) 2019;9:E38. doi: 10.3390/bs9040038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Vanherle K, Werkman AM, Baete E, Barkmeijer A, Kolm A, Gast C, et al. Proposed standard model and consistent terminology for monitoring and outcome evaluation in different dietetic care settings: results from the EU-sponsored IMPECD project. Clin Nutr. 2018;37(6 Pt A):2206–16. doi: 10.1016/j.clnu.2018.08.040. [DOI] [PubMed] [Google Scholar]

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