Abstract
Obesity in childhood remains a significant and prevalent public health concern. Excess adiposity in youth is a marker of increased cardiometabolic risk in adolescents and adults. Several longitudinal studies confirm the strong association of pediatric obesity with the persistence of adult obesity, and the future development of cardiovascular disease, diabetes, and increased risk of death. The economic and social impact of childhood obesity is further exacerbated by the early onset of the chronic disease burden in young adults during their peak productivity years. Furthermore, rising prevalence rates of severe obesity in youth from disadvantaged and/or minority backgrounds have prompted the creation of additional classification schemes for severe obesity to improve cardiometabolic risk stratification. Current guidelines focus on primary obesity prevention efforts, as well as screening for clustering of multiple cardiometabolic risk factors to target interventions. This review summarizes the scope of the pediatric obesity epidemic, the new severe obesity classification scheme, and examines the association of excess adiposity with cardiovascular and metabolic risk. We will also discuss potential questions for future investigation.
Keywords: obesity, pediatric, cardiovascular disease, insulin resistance, type 2 diabetes
Introduction
Childhood obesity, defined by the World Health Organization (WHO) as abnormal or excessive fat accumulation that presents a risk to health, is a global disease with potentially devastating consequences1,2. Youth who are overweight/obese have ~5-fold increased risk of excess adiposity in adulthood with a high risk for obesity-related comorbidities3–7. Obesity-associated comorbidities can be debilitating, and premature death and morbidity, primarily related to cardiometabolic disease, represents the most significant economic and social public health burden of the obesity epidemic8,9. In the United States, the cumulative attributable cost related to direct medical care and lost productivity from childhood obesity could exceed $250 billion8.
Model estimates forecasting this public health impact rely on a large body of evidence linking childhood obesity to future adult cardiovascular disease. In addition to a direct effect of abnormal excess adiposity in accelerating atherosclerotic disease, the clustering of cardiometabolic risk (CMR) factors such as hypertension, insulin resistance, dyslipidemia, and type 2 diabetes compounds the cardiac disease risk. Several socio-environmental and biological factors are associated with childhood obesity and CMR. The younger age of onset for obesity, cardiovascular disease and diabetes means that the chronic disease burden will begin during the peak productivity years, further crippling the health of the community7. This review summarizes the magnitude of the current epidemic, provides an update on new obesity classifications schemes and their association with CMR, and highlights areas for future investigation.
Scope of the Problem
Rates of childhood obesity and overweight vary markedly by world region and income status10. Since the mid-1970s, the body mass index (a measure of weight relative to height as kg/m2) in children and adolescents has steadily risen, giving way to the global recognition of childhood obesity or excess adiposity in childhood as a significant public health concern11. In high-income countries, such as the United States, England and Australia, rates of combined childhood overweight and obesity range between 20–35%,12,13 with the prevalence rates of obesity alone as high as 17–20% in U.S. youth aged 2–18 years, depending on the classification scheme used. The high obesity rates observed in the U.S. are increasingly seen in countries around the globe that are undergoing epidemiological transition from communicable to non-communicable diseases14. For example, rates of childhood obesity are at or approaching 20% in youth residing in Polynesia, Micronesia, the Middle East, north Africa and the Caribbean10,13. Yet, emerging data in some high-income countries, such as the U.S. and England, suggest that the rate of increase in childhood obesity is plateauing10,12,13.
Despite this positive trend, the global burden of excess adiposity and obesity-related comorbidities remains significant because it disproportionately affects minority racial/ethnic groups and those from disadvantaged socio-economic backgrounds13. Although, under-nutrition and food shortages are still the predominant form of malnutrition in many low-income countries (for example in India and Africa), rapid weight-gain and obesity are also occurring in some youth10. The cardiovascular impact of this dual problem of under- and over-nutrition has not been fully quantified15.
Classification of childhood obesity
To reduce this global epidemic, accurate classification of childhood obesity and its association with disease risk is paramount for primary and secondary prevention. As childhood is a time of growth, obesity categories are commonly based on body mass index (BMI) percentiles derived from growth charts, to account for gains in weight relative to height. Three main classification schemes are used internationally and are based on growth charts developed by the Center for Disease Control (CDC), the World Health Organization (WHO), or the International Obesity Task Force (IOTF)16–19. The U.S. CDC growth charts were published in 2000 and were based on smoothed data gathered from five national surveys conducted between 1963 and 1994 in the U.S17. According to the CDC definition, overweight classification in children over 2 years of age is defined as BMI ≥ to the 85th but less than the 95th percentile, and obesity as BMI ≥ to the 95th percentile of the reference range for age and sex17. Of note, the CDC growth charts do not assess height or weight in children under 2 years of age. The WHO growth charts were developed by a WHO expert committee in 2007 using the 1977 National Center for Health Statistics growth reference data from 5 to 18 years, supplemented with data from the WHO Child Growth Standards for children ages 5 years and younger16,19. The WHO system defines overweight as a BMI greater than 1 standard deviations (SD), and obesity as a BMI greater than 2 SD, from the mean of the WHO reference population16,19. In an attempt to establish an international definition of obesity, the IOTF developed a classification scheme in 2005 based on an extrapolation of the adult BMI cutoff points for overweight (25 kg/m2) and obesity (30 kg/m2) from large nationally representative growth data from six countries (Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States)18.
Among the three classification schemes is heterogeneity in prevalence assessments for overweight and obesity20–22. The prevalence estimates of overweight and obesity are often highest when using the WHO classification systems, intermediate with the CDC definition, and lowest when using the IOTF definition20,21. At present, therefore, there is no international gold-standard definition for overweight and obesity in childhood, yet governments and non-governmental research organizations strive to ensure consistency and transparency in the classification schemes used to enact policy changes related to childhood obesity. In the U.S., for example, CDC growth charts are used for youths ≥2 years old, while WHO charts are used during the first 2 years of life23. Notably, long-term data are also required for evaluating the classification scheme that best correlates obesity and cardiometabolic disease in adulthood.
Over the last two decades, there has been a marked rise in prevalence of extreme obesity, i.e. youth with a BMI ≥ to the 99th percentile on the CDC growth charts13. With increasing prevalence of marked adiposity, further classification schemes for extreme obesity in childhood have been proposed that utilize BMI Z-scores or additional growth percentiles24–26. However, BMI Z-scores poorly correlate with degree of body fatness in youth with severe obesity24. Alternatively, Flegal et al. used smoothing models to derive additional growth percentiles for children with severe obesity to improve tracking of clinical progress and assessment of associated health risks25,26. Additional proposed obesity subcategories are: Class I (BMI 95th percentile to 120% of the 95th percentile), Class II (BMI 120% to 140% of the 95th percentile), and Class III (BMI >140% of the 95th percentile)27. Recognizing the need for standardized definitions and for describing the clinical picture associated with patients presenting with large volumes of adipose tissue, the American Heart Association and the Obesity Society published a scientific statement in 2013 recommending that severe obesity in children 2 years of age and older be defined as a BMI ≥120% of the 95th percentile or an absolute BMI ≥35 kg/m2, 26. Including an absolute BMI threshold was proposed to align the pediatric definition of obesity with the high-risk category of class II obesity in adults. These subcategories were incorporated into new growth charts for severely obese children for improved tracking of clinical progress and assessment of associated health risks25,26.
BMI as screening tool for cardiometabolic risk
Traditional BMI categories are widely accepted risk screening tools because of their simplicity, cost-effectiveness, and strong correlation with CMR28,29. Additional risk stratification, using the 3 subcategories of obesity (Class I, II, and III) mentioned above, have been recently recommended by the American Heart Association and the Endocrine Society Guidelines on Childhood Obesity26,30. Using data for 3- to 19-year old children from the 1999–2012 National Health and Nutrition Examination Survey (NHANES), Skinner et al. demonstrated that compared to youth with Class I obesity, youth with Class III had a >2-fold increased risk of hyperglycemia and hypertension31. Similarly, in a larger group of youth aged 6–19 years, the odds for hypertension, hypercholesterolemia and fasting hyperglycemia progressively doubled with every increase in BMI category from normal to overweight to Class I, II, and III obesity, respectively32. Therefore, these obesity subcategories help to identify youth who may benefit from more intensive treatment strategies, such as pharmacotherapy, supervised lower-calorie diets, or bariatric surgery (assuming patients meet specific criteria).
Though BMI classification of overweight and obesity is a universally accepted screening tool, it is not without limitations. BMI measures weight relative to height (kg/m2) and approximates total adiposity with relatively high specificity33. However, BMI may have low sensitivity in specific populations; it can overestimate adiposity in youth with a high percent lean body mass and underestimate adiposity in very lean youth33. Importantly, BMI suboptimally predicts CMR among certain racial/ethnic groups with low, normal or high-normal BMI34. In these individuals, high CMR despite lower BMI categories may be related to socio-environmental factors, for example, low socio-economic status, failure to thrive, or early childhood adverse events such as intrauterine growth retardation, child maltreatment and parental incarceration35–38. The influence of childhood adversity on heart disease, T2DM, and stroke later in life is underscored in the recently published Scientific Statement on Childhood and Adolescent Adversity and Cardiometabolic Outcomes from the American Heart Association39. The conceptual model posits that childhood adverse events are related to 3 inter-related mechanisms: (1) health behaviors such as physical inactivity, poor-quality diet, poor sleep, and smoking, (2) physiologic mechanisms including inflammation and hypercortisolemia, and (3) substance abuse and mental health disorders39. Each of these mechanisms in isolation or combined is strongly related to increased CMR. Although strong, the existing evidence has been associative and future studies to elucidate mechanisms and resiliency are needed, especially in children with normal weight and BMI.
One key reason why BMI percentiles may not accurately capture degree of adiposity, is the limited specificity of BMI to identify ectopic fat depots such as visceral and hepatic compartments40. It is well established by multiple epidemiologic and clinical studies in adults and children, that CMR varies with location and distribution of fat accumulation. In recognition of the variation in the relationship of adiposity with CMR among individuals of Asian descent41, the American Diabetes Association (ADA) recently updated their overweight screening recommendations to include a lower BMI cut-point of ≥ 23kg/m2 for defining overweight status in adult Asian Americans. This lower BMI cut-point for Asian Americans has subsequently been shown to improve sensitivity for detecting prediabetes and diabetes42. Currently there are no racial/ethnic thresholds for children in the United States or around the world, despite the knowledge that population-specific reference BMI percentiles are superior for assessing patterns of adiposity43.
Childhood obesity and cardiovascular disease
Regardless of measurement method, excess adiposity in children has been shown to be strongly associated with the development of atherosclerosis and hypertension. The strongest data confirming the independent and interdependent association of childhood obesity and its comorbidities with cardiovascular disease is derived from post-mortem and several well-designed prospective studies (Table 1).
Table 1.
Study | Country | Design | Study Size (n) | Mean follow-up (years) | Participant characteristics at baseline | Outcome | Other CHD risk variables studied | Reference |
---|---|---|---|---|---|---|---|---|
Bogalusa Heart Study | United States | Population based cohort | 254 | 16–17 | 12–17 years 44% male 30% African-American | Carotid IMT (B-mode ultrasound) | LDL, HDL, BP, smoking | Li et al.52 |
Muscatine Heart Study | United States | Population based cohort | 384 | 12 and 18 | 15 years 51% male | Coronary artery calcification (CT) | LDL, TG, BP, Apolipoprotein A1 and B, homocysteine | Mahoney et al.54 |
Muscatine Heart Study | United States | Population based cohort | 725 | 8–18 | 18–25years 48% male | Carotid IMT | LDL, HDL, BP, TG | Davis et al.53 |
Cardiovascular Risk in Young Finns Study | Finland | Population based cohort | 1171 | 21 | 12, 15 &18years 45% male | Carotid IMT | LDL, HDL, BP, smoking | Raitakari et al.58 |
Childhood Determinants of Adult Health Study | Australia | Population based cohort | 286 | 20 | 12 and 15 years 50% male | Carotid IMT | LDL, HDL, BP, smoking | Magnussen et al.59 |
Kaunas Cardiovascular Risk Cohort Study | Eastern Europe | Cohort | 380 | 36–37 | 12–13 years 44% male | Carotid IMT and pulse wave velocity | LDL, HDL, BP, smoking, socio-economic status | Petkeviciene et al.74 |
IMT: intimal media thickness; CT: computed tomography
Early evidence that increased adiposity in childhood is associated with atherosclerotic lesions was derived from two landmark studies. The Bogalusa Heart Study was a post-mortem evaluation of 204 young persons, aged 2–38 years, who died from primarily traumatic causes44. Among the 93 youth/young adults with ante-mortem risk factor data, the presence of fatty streaks and fibrous plaques in otherwise healthy children confirmed the early-onset and progressive nature of coronary heart disease. In a larger multi-center study of 2876 autopsied young persons aged 15–34 years, The Pathobiological Determinants of Atherosclerosis in Youth (PDAY), obesity was an independent and a prominent risk factor for fatty streaks45. Notably, the extent of atherosclerotic lesions was mediated by the number of CMR factors present (i.e. obesity, hypertension, dyslipidemia and smoking), irrespective of age. Several cross-sectional46–51 and prospective studies44,52–59 have subsequently established the association of childhood obesity with surrogate markers of atherosclerosis – carotid intima media thickness (CIMT), arterial stiffness and coronary artery calcification during adulthood (Table 1). Obesity in adolescence increases the risk for incident stroke60 and premature death from coronary heart disease and stroke, by 2–4 fold61.
Discerning the independent contribution of childhood obesity to cardiovascular disease and diabetes is challenging because obesity co-segregates with other CMR factors such as hypertension, dyslipidemia, and insulin resistance. Most, but not all, studies62,63 that have rigorously tracked risk factors from childhood to adulthood and accounted for known adult-onset mediators such as adult BMI and systolic blood pressure, support childhood obesity as a primary mediator of risk57,58,64. Even in studies in which the magnitude of the relationship between childhood BMI and CIMT was small, the strong tracking of BMI from childhood to adulthood suggest that childhood obesity remains a primary driver of adult CMR57.
The International Childhood Cardiovascular Cohort (i3c) consortium was created in 2009 to facilitate collaborations and provide insight into the interdependent contributions of obesity and CMR factors to cardiovascular disease65,66. The consortium initially comprised of 4 large comprehensive prospective cohorts: The Bogalusa Heart Study, The Muscatine Study, PDAY, and The Childhood Determinants of Health Study and has since expanded to include smaller studies such as the Princeton Follow-up Study, two Minneapolis studies and the National Heart Lung and Blood Institute Growth and Health Study 65,66. Collectively, consortium data have demonstrated that childhood obesity is a strong independent risk factor for arterial vascular abnormalities, even after adjusting for risk factor status in adulthood (e.g. adult hypertension and obesity)67. Importantly, data from this consortium has also helped to determine that 9 years is the optimal age for using childhood BMI as an independent risk predictor68.
Pathophysiology
A direct pathological association of obesity with cardiovascular disease may be mediated by increased preload and vascular damage51. When combined with ectopic fat accumulation in the myocardium, increased ventricular stiffness leads to vascular dysfunction, hypertension and left ventricular hypertrophy69. Independently, obesity-associated insulin and leptin resistance also promote inflammation and endothelial dysfunction which increases arterial stiffness, susceptibility to plaque formation and accelerated atherosclerosis51. Furthermore, the tracking of elevated blood pressure in youth to adulthood and the increased strain placed on the ventricles significantly increases CMR early in life70.
Notably, the increased ventricular strain induced by childhood obesity may be reversible; children with obesity who transitioned to normal weight status as adults had a risk comparable to persons who were never obese71,72. In keeping with these findings, the Childhood Determinants of Adult Health sub-study demonstrated that obesity was associated with increased ventricular mass in childhood but this was not related to poor ventricular diastolic function as an adult73. Rather, differences in risk for heart failure were closely correlated with current adult weight. Interestingly, childhood BMI was strongly associated with insulin resistance and hyperglycemia as an adult, while BMI gain from childhood to adulthood was the most important determinant of adult hypertension and hyperlipidemia and stroke74,75.
Childhood obesity, insulin resistance and type 2 diabetes
Childhood obesity strongly correlates with insulin resistance and type 2 diabetes76. Moreover, severe obesity occurs in a majority of diabetic youth,77 and the emergence of prediabetes and type 2 diabetes in children closely correlated in time with the childhood obesity epidemic. Progressive glucose intolerance towards type 2 diabetes is precipitated by rapid weight gain, the physiologic decline in insulin sensitivity of puberty, and a relative decline in insulin secretion unable to compensate for the increased demand78–81. The prevalence of prediabetes in youth with obesity is variable but this may be related to differences in the definitions used for prediabetes. Using a HbA1c thresholds ≥ 5.7%, and fasting glucose ≥ 100mg/dl, rates of prediabetes in adolescents aged 12–19 years were 5%, and 15% respectively82. However, if a 2-hour glucose threshold of ≥140mg/dl is used, up to 21% of obese youth could be classified as having prediabetes83.
Once glucose intolerance develops, prediabetes progresses to diabetes ~10–15% per year, with the highest rates in African-American youth with severe obesity84. The childhood obesity epidemic is associated with a 3-fold increase in prevalence rates of type 2 diabetes rates in youth over the last 3 decades. Youth in the lowest socio-economic bracket and from ethnic minorities (African-American, Hispanic, Asian or Pacific Islanders and Native American youth) have the highest prevalence rates85,86. High cardiovascular risk in these youth is related to both the comorbidities of type 2 diabetes (dyslipidemia, hypertension, non-alcoholic steatosis) and the hyperglycemic effect on the vasculature. Increased risk of disability from microvascular disease and death from cardiovascular disease occurs just 10–15 years after disease onset87,88. This rapid nature of type 2 diabetes in youth further accelerates the progression of micro and macrovascular complications, and unfortunately short-term improvement in glycemia did not decrease the prevalence of CMR markers89. In fact, despite over 2 years of treatment with metformin, rosiglitazone or diet and lifestyle modification in the TODAY study (see below for details), dyslipidemia and chronic inflammation (measured by high sensitive C-reactive protein) worsened with time89. Further research is urgently needed to identify targeted therapies to help reduce the risk of future cardiovascular disease in these high-risk youths.
Pathophysiology
Insulin resistance
Obesity associated accumulation of high circulating levels of free fatty acids and pro-inflammatory factors causes peripheral and hepatic insulin resistance90. Increased ectopic fat deposition (liver and visceral compartments) are strong predictors of glucose intolerance and type 2 diabetes. Many, but not all studies91,92, indicate that ectopic fat accumulation in visceral and hepatic compartments is a more significant determinant of cardiometabolic health than overall BMI in adolescents93,94 and adults95 with obesity. Visceral and intra-peritoneal adipose depots may increase hepatic insulin resistance through the release of localized inflammatory mediators or as a direct substrate for the release of free fatty acids90. In addition, increased abdominal subcutaneous fat may also play a role and was found to be a stronger predictor of insulin sensitivity and dyslipidemia in children compared to adults91.
Type 2 diabetes
As in adults, the pathogenesis of type 2 diabetes in youth is characterized by two main pathophysiological features: insulin resistance and declining insulin secretion96. However, the natural history of type 2 diabetes in youth is characterized by a more rapid decline in β-cell function and faster progression to diabetes-related complications in youth compared to adult-onset disease97,98. In the only randomized treatment trial for type 2 diabetes in youth, The Treatment Options in Type 2 Diabetes in Youth (TODAY) study, severe metabolic decompensation, requiring insulin therapy, was evident in ~50% of youth within 3 years of diabetes onset98. Treatment failure occurred regardless of treatment with metformin, metformin plus rosiglitazone or metformin plus lifestyle modification and was accompanied by a 20–35% decline in pancreatic β-cell function per year 99. In contrast, only 20–30% of adults treated with metformin experience treatment failure within 5 years and β-cell function declines at 7–11% per year as illustrated by the ADOPT and UKPDS studies100,101. Additionally, severe hepatic insulin resistance and fasting hyperglycemia secondary to increased gluconeogenesis is a prominent early pathophysiologic feature in youth with type 2 diabetes102. This phenotype of severe hepatic resistance contrasts with the more gradual development of increased hepatic glucose production that occurs in adults later in the disease course103.
The etiology of reduced β-cell functional reserve and severe hepatic insulin resistance in these youth is not yet fully understood but may be secondary to environmental susceptibility and cross-generational transmission of genetic and epigenetic factors. Maternal obesity during pregnancy is associated with a 3-fold increased odds of having a child who is overweight104. Moreover, ~50% of 632 children with type 2 diabetes in the TODAY trial were born to mothers with a history of diabetes during or within 2 weeks of delivery105. The mechanism of transfer of an “obesity” or “diabetes” trait could be secondary to inherited genetic variants passed from parent to child or differences in genetic expression related to varying methylation patterns (epigenetics). Genome-wide association studies have uncovered >80 genes and multiple gene variants linked with type 2 diabetes but which explain only a small fraction of heritability of type 2 diabetes106.
Aside from shared genetic risk, intrauterine and postnatal risk factors are closely correlated with increased cardiometabolic risk (Table 2)107,108. New research on the intergenerational transmission of childhood obesity and type 2 diabetes indicates that post-translational modifications, including environmentally-induced variations in methylation patterns, may be a primary causal mechanism109. Siblings born to mothers before and after weight-loss from bariatric surgery exhibited different CpG methylation patterns in genes known to regulate inflammatory pathways and type 2 diabetes signaling110. Epigenetic modification in the offspring of mothers with obesity could be a consequence of an obese maternal intrauterine environment which alters developmental β-cell programming, decreases β-cell functional reserve and increases susceptibility to type 2 diabetes pathways across the lifecourse111,112. More research is needed to help understand how the intrauterine environment might induce epigenetic changes and determine if these relationships are causally linked.
Table 2.
Socio-environmental | Biological |
---|---|
Caloric dense, nutrient poor diet | History of maternal obesity in pregnancy |
Sedentary lifestyle | History of gestational diabetes |
Excessive screen time | Family history of obesity and/or CVD |
Tobacco exposure | Intra-uterine growth restriction |
Poor sleep quality and short duration | Hypertension |
Diabetes mellitus and insulin resistance | |
Dyslipidemia | |
Hepatic steatosis | |
Polycystic ovarian syndrome | |
Obstructive sleep apnea |
Preterm birth and post-natal growth are both important independent risk factors of future cardiometabolic disease113. However, the independent contribution of intrauterine growth retardation vs. post-natal growth is still unclear. Intrauterine growth retardation increased risk for increased abdominal and total fat accumulation associated with markers of insulin resistance113. Alternatively, regardless of birth weight or preterm birth, rapid weight gain in infancy was associated with reduced insulin sensitivity and visceral fat accumulation in childhood and young adults114–116. Further, rapid weight gain in infancy and childhood is linked to cardiovascular risk markers (e.g. pulse wave velocity)117 and hypertension in longitudinal birth cohorts118,119. Although the exact mechanism and timing of weight gain that confers the greatest disease risk remains to be determined, the magnitude and rate of post-natal weight gain have been identified as important modifiable risk factors and current guidelines have focused on weight monitoring and targeted interventions for infants less than 1 year of age120,121.
Early childhood and behavioral risk factors
Multiple early childhood and behavioral risk factors, are associated with increased childhood obesity (Table 2)120. The central role of changes in our food and built environment concomitant with a transition to a sedentary culture that have contributed to the pediatric obesity epidemic childhood obesity are well documented11. Specific factors such as poor sleep hygiene, a sedentary lifestyle with increased screen time, coupled with high intake of nutrient dense foods, and sugar-sweetened beverages are primary targets for obesity intervention programs120. These risk factors not only predispose youth to excessive weight gain but may also be independently linked to increased CMR122,123. For example, numerous studies have linked poor sleep quality and duration with excess weight gain in childhood122,123. Yet, the underlying pathophysiological mechanism is still unclear. Short sleep duration is strongly associated with increased energy intake (unhealthy dietary patterns) and reduced energy expenditure (longer sedentary periods), which could cause excess adiposity over time123. Reduced sleep duration is also linked to insulin resistance and could be a primary mediator of CMR, irrespective of childhood obesity status123. Additional research is needed to evaluate whether the relationship between sleep hygiene and CMR in pediatric obesity is causal.
Childhood obesity-related comorbidities and increased cardiometabolic risk
Childhood obesity is strongly associated with multiple comorbidities with high CMR (Table 2). In this section, we will discuss the cumulative CMR risk of obesity with each of the following conditions: metabolic syndrome, polycystic ovarian syndrome, dyslipidemia, non-alcoholic steatohepatitis, and obstructive sleep apnea.
Cardiometabolic risk clustering and metabolic syndrome
Cardiometabolic risk is highest with clustering of risk factors such as abdominal obesity, abnormal cholesterol, hypertriglyceridemia, hypertension, and smoking, in youth and adults. Moreover, the combined risk level for coronary heart disease and greater CIMT in adults is strongly linked to CMR clustering in childhood59. This co-existence of risk variables, associated with increased risk for type 2 diabetes and cardiovascular disease, has been defined as the metabolic syndrome124,125. The prevalence of risk factor clustering markedly increases with greater severity of adiposity, and underscores the importance using the new severe obesity classification schemes126.
Since CMR clustering in children is associated with higher prevalence of metabolic syndrome in adults127, multiple definitions have been used to delineate and risk stratify metabolic syndrome in children128,129. However, metabolic syndrome is difficult to define in children because of physiologic variations in thresholds with age and pubertal change (e.g. systolic blood pressure, waist circumference) and risk stratification with the various definitions are not well characterized in children. Given the lack of consensus over the optimal diagnostic criteria for the pediatric metabolic syndrome, efforts have shifted from defining metabolic syndrome towards identifying youth with CMR factor clustering, who are at increased cumulative CMR130.
Polycystic ovarian syndrome
Polycystic ovarian syndrome (PCOS) is a disorder characterized by hyperandrogenism, chronic anovulation, and insulin resistance. Obesity is a common, but not universal, feature of PCOS, although reliable nationally representative prevalence data are lacking131. In a retrospective analysis of electronic data records, the odds of PCOS were 14-fold higher in youth with severe obesity compared to normal weight youth132. Women with PCOS have increased surrogate markers of atherosclerotic disease and diabetes risk. However, the association of PCOS in adolescence with future CMR is not well defined and is complicated by the lack of a standardized definition for PCOS in young girls. Cross-sectional studies confirm an association of PCOS with insulin resistance in youth, and other CMR markers (including obesity, hypertension and dyslipidemia) are often present soon after diagnosis 133. However, there is conflicting data on the contribution of obesity versus PCOS for mediating atherosclerotic risk134. Increased CIMT, arterial stiffness, and a more atherogenic lipid profile have been observed in young girls with PCOS and obesity compared to weight-matched controls135 but the relationship to future cardiovascular mortality and morbidity remains to be determined.
Dyslipidemia
Prospective cohort studies have established the strong tracking of dyslipidemia from childhood to adolescence and adulthood136 and its association with surrogate markers of atherosclerosis52,59,137. This relationship of abnormal lipoprotein levels in childhood with adult dyslipidemia is strongest in children with obesity59,138. The combined dyslipidemia of insulin resistance is a principal component of pediatric obesity and is characterized by elevated triglycerides, decreased HDL, and elevated small, dense LDL particles. A recent systematic review examined the magnitude of the association between BMI and risk parameters for cardiovascular disease in children, including serum lipids29. Triglyceride concentrations were more likely to be elevated and HDL cholesterol lower in youth with obesity compared to normal weight school-aged youth. Increased atherosclerotic risk is related to high levels of triglyceride-rich lipoprotein particles secreted by the liver and subsequent processing into small, dense LDL and less large HDL particles139. Small LDL particles are pro-atherogenic as they are trapped into the sub-endothelium and contribute to increased carotid intimal thickness and features of subclinical atherosclerosis140.
Non-alcoholic fatty liver disease
Non-alcoholic fatty liver disease (NAFLD) describes a spectrum of disorders associated with excess liver fat accumulation (>5% liver weight) that is not secondary to alcohol consumption or other liver pathologies141,142. When ectopic fat infiltration (hepatic steatosis) is associated with hepatocellular inflammation and injury (steatohepatitis), fibrosis can eventually lead to cirrhosis141. Pediatric obesity significantly increases the risk of hepatic steatosis and steatohepatitis, such that NAFLD occurs in ~34% of youth with obesity143. Furthermore in adults, NAFLD is an independent predictor of subclinical cardiovascular disease, after adjusting for age, smoking, body mass index, alcoholic consumption, dyslipidemia and metabolic syndrome144. The role of NAFLD as a primary contributor to early atherosclerotic disease risk in children and whether this is independent or interdependent of pediatric obesity is still uncertain. A few small cross-sectional studies in youth (n = 78–131) associate hepatic fat with increased or no difference in CIMT145–147 in youth with obesity in the presence or absences of NAFLD. NAFLD was also associated with worse endothelial function and lower hepatic, adipose tissue, and peripheral insulin sensitivity suggesting that subclinical atherosclerosis with NAFLD may be mediated by insulin resistance148.
Obstructive sleep apnea
Obstructive sleep apnea (OSA) is a common obesity comorbidity characterized by recurrent hypoxic episodes during sleep and daytime somnolence. In childhood, OSA is associated with insulin resistance, a more atherogenic lipid profile, PCOS, and hypertension149–152. However, the independent contribution of OSA to increased CMR, irrespective of excess adiposity status, is still unclear. Retrospective and case-control studies have identified positive associations of markers of insulin resistance (fasting insulin and HOMA-IR) with moderate and severe OSA in youth150,151. In contrast, a large cohort analysis of over 500 children with OSA, showed that insulin resistance and dyslipidemia were strongly associated with increased BMI and were not related to the presence or absences of OSA152. Longitudinal data is also lacking but the limited analysis from the Bogalusa Heart Study, found that overweight status in youth was a prominent risk factor for OSA in middle-aged adults153. Although, there is insufficient evidence to determine causality, the data support the strong association between increased CMR, OSA and obesity and highlight the need for well-designed randomized OSA intervention trials in youth with and without obesity and increased CMR.
Congenital heart disease and CMR
When considering childhood obesity, children with severe congenital heart disease are a group of emerging concern154,155. Thanks to incremental advances in the surgical management of congenital heart disease, many children with previously fatal congenital heart defects are surviving and thriving into adolescence and young adulthood156,157. Pediatric obesity is increasingly being observed in these children, and is a strong predictor of future adiposity even in adult survivors with the most complex single ventricle morphology158. In fact, the prevalence of obesity in adults with congenital heart disease is comparable to the general population159.
Increased risk for obesity may be secondary to dietary and lifestyle factors unique to children with severe congenital heart disease159. Infants with complex congenital heart disease often receive nutritional supplementation to support their growth. Rapid weight gain during infancy coupled with reduced physical activity and exercise capacity could contribute to the increased risk for obesity in these vulnerable patients160,161. Increased adiposity may exacerbate an already high risk for cardiovascular disease, depending on the intrinsic morphological defect162–164. Adults with severe congenital heart disease are at increased risk for coronary heart disease, hypertension and/or cardiac failure, as well as non-cardiac disorders such as metabolic syndrome, insulin resistance, and type 2 diabetes156,162,165–167. The extent to which pediatric obesity modifies the increased cardiometabolic risk in adulthood remains to be elucidated. In a retrospective cohort analysis of childhood and adult survivors with Fontan circulation, obesity was associated with normal height velocity and reduced heart failure rates implying improved function158. Prospective studies are needed to investigate the predictors of both obesity and CMR and determine the degree to which they may be related. Recommendations for minimizing cardiovascular risk in youth and adults with congenital heart disease include nutritional and physical activity guidelines that promote a balanced diet with goal-setting and regular bouts of moderate-vigorous physical activity168,169. Longitudinal studies are also needed to evaluate the long-term effect of these guidelines on morbidity and mortality in individuals with severe congenital heart disease.
Cardiovascular risk reduction
Screening for cardiometabolic risk
The multitude of studies linking pediatric obesity to high CMR have underscored the importance of primary prevention of cardiovascular disease and T2DM in childhood by promoting early identification and treatment of childhood obesity120. Obesity screening practices are already well-accepted components of the childhood pediatrician visit170—length and weight are standard metrics in the well-child evaluation. Tracking of weight for length during infancy helps to reduce rapid weight gain in the first 2 years of life30 and routine BMI screening for overweight/obesity is recommended beginning at 2 years of age30,120,171. Once identified, a structured behavioral family-centered lifestyle program should be recommended and weight goals individualized by age and pubertal stage172. Importantly, small changes in BMI (a decrease of ≥ 0.5 SDS) may result in marked improvements in CMR49.
Screening for CMR risk factors (hypertension, dyslipidemia, diabetes) should be undertaken in all children with obesity. The NHLBI Expert Panel guidelines recommend lipid profile screening to all children ≥ 2 years with BMI ≥ to the 85th percentile120. The American Diabetes Association recommends screening for type 2 diabetes in youth with overweight/obesity and who have at least 2 additional risk factors (Table 3)173. Specific coronary risk scores, such as the Framingham risk score, are well-established for clinical risk stratification in adults, however no similar risk stratification tools are available in children. A risk score developed from the PDAY study has been used in pediatric research to predict CIMT174 but further studies are needed to confirm the utility of this risk score in the clinical setting.
Table 3.
Overweight/Obese defined as:
|
Plus any two of the following risk factors: |
• Family history of type 2 diabetes in first- or second-degree relative |
• Race/ethnicity (Native American, African-American, Latino, Asian American, Pacific Islander) |
• Maternal history of diabetes or gestational diabetes during the child’s gestation |
• Signs of insulin resistance or conditions associated with insulin resistance
|
Screening should be initiated at 10 years or at age of onset of puberty, if puberty occurs at a younger age.
Frequency of screening: every 3 years.
Adapted from American Diabetes Association: Classification and Diagnosis of Diabetes. Diabetes care. 2017;40(Suppl 1):S11-S24
Treatment of childhood obesity and primary prevention of cardiometabolic disease
A comprehensive approach to the management of childhood obesity and primary cardiometabolic disease prevention is broadly outlined in the World Health Organization 2016 Interim Report of the Commission on Ending Childhood Obesity and will be summarized in this review11. This report proposed a multi-faceted approach to obesity prevention and management by detailing targeted strategies for socio-environmental, political, economic and behavioral determinants of obesity. Key stake holders included healthcare and research communities, governmental and non-governmental organizations and the private sector. This societal qualitative conceptual model to obesity management is as important, if not more so, than individualized or community treatment plans175.
Nevertheless, individual behavior modification remains a cornerstone of healthcare-directed pediatric obesity management, as highlighted in the recently published Pediatric Obesity Clinical Practice Guidelines endorsed by The Endocrine Society, Pediatric Endocrine Society and European Society of Endocrinology30. In summary, this statement emphasizes that one of the key goals of obesity treatment in childhood is to prevent cardiometabolic disease and includes increased surveillance for and treatment of obesity-related co-morbidities. The working committee outlined 3 main treatment approaches for pediatric obesity: diet and lifestyle modification, pharmacological interventions and surgical management.
Comprehensive diet and lifestyle modification is the backbone of obesity management30. However, the implementation and efficacy of these approaches varies with geographical region and cultural context176. Diet and lifestyle plans should be tailored in a population-specific manner, accounting for access to resources (such as sports equipment, or lack thereof) and to cultural variations in meal preparation and ingredients176. At its core, promoting interventions aimed at achieving a healthy weight and regular physical activity have been successful in a variety of contexts177. In a recent systematic review of interventions to prevent global childhood overweight and obesity, school-based programs that combined diet and physical activity with a home element had the greatest effectiveness177. Specific recommendations include a balanced diet with age-specific nutritional and caloric intake values, avoiding the consumption of calorie-dense nutrient-poor foods (e.g. sugar-sweetened beverages, sports drinks, high-fat or high-sodium processed foods) and encouraging the consumption of whole fruits and vegetables. Dietary changes should be coupled with increased physical activity that gradually increases in intensity to a recommended goal of 20–60 minutes, with a goal of 60 minutes, of moderate to vigorous physical activity daily. Moreover, behavioral intervention programs have the greatest efficacy in youth with severe obesity in younger age groups, before the teenage years178. Forty-four percent of 643 children between 6–9 years achieved clinically significant reduction in BMI-SD score of 0.5 units or more compared to 20% of children age 10–13 years and 8% of adolescent youth178. Therefore, age at treatment initiation and degree of obesity are important predictors for weight loss. Behavioral modification programs that target these youth prior to the adolescent years are poised to have the greatest programmatic and individual successes.
Acknowledging the independent contribution of sedentary time, the Endocrine Society committee recommended limiting non-academic screen time to 1–2 hours per day and using cognitive behavioral therapy to promote compliance with lifestyle modification17. Specific treatment options for monogenic disorders and hypothalamic obesity may be complex and include a combination of behavioral modifications179–181 (details are beyond the scope of this review).
The positive effect of incremental weight loss on improving cardiometabolic risk factors has been demonstrated in several randomized controlled trials182,183. For example, a ~1kg/m2 decrease in BMI with an intensive behavior modification regimen, reduced 2-hour glucose in 42% of youth vs. 7% after standard of care184. In keeping with the findings of the landmark study in adults, The Diabetes Prevention Program, a recent systematic review of 133 randomized controlled trials in youth, highlighted that modest weight loss (5–7% of initial body weight) was sufficient to improve the lipid profile, and systolic blood pressure and may help to prevent or delay the onset of future adult cardiovascular disease183,185. It is notable that a small change in weight and/or BMI, that did not result in changes in obesity category, improved the cardiometabolic risk profile. This data posits the theory that weight stabilization in childhood, coupled with increased physical activity, could be a more important driver of improved metabolic health than an absolute change in total adiposity. However, this notion is based on short-term improvements in markers of metabolic health. Since increased CMR occurs along a continuum and is not segregated to BMI classifications, incremental changes in weight loss improve CMR risk factors182. However, there are no longitudinal randomized trials that have assessed the independent contributions of degree of weight change versus physical activity in childhood to hard outcomes in adulthood (cardiovascular disease morbidity and mortality). Therefore, current obesity treatment recommendations in youth, focus on improving overall nutritional intake and lifestyle and not at reducing BMI categories as a treatment benchmark30. Future research should explore the dose-response relationship for diet and physical activity induced weight-loss in youth for predicting cardiometabolic outcomes in adults.
There are relatively few therapeutic alternatives to diet and lifestyle that have been extensively investigated or employed in youth186,187. In addition to the limited data on pharmacological and surgical options in youth, these interventions are not widely available in many middle and low-income countries. Moreover, although there is medium term (up to 8 year outcomes data in youth post-bariatric surgery), there is no long-term data on safety, efficacy for reducing cardiometabolic disease in childhood or adults188.
The 2017 Endocrine Society Clinical Practice Guidelines recommend pharmacotherapy for children or adolescents after a formal program of intensive lifestyle modification has failed to limit weight gain or to ameliorate comorbidities30. Orlistat, a lipase inhibitor, is the only FDA (US Food and Drug Administration) approved weight-loss medication for use in children ≥ 12 years who are overweight/obese. Orlistat is associated with 1–2 kg weight loss in adolescents, but its use is limited by its unpleasant side effects (bloating and greasy loose stools)189. Orlistat has been associated with modest improvement in diastolic blood pressure and a marker of endothelial function (flow-mediated dilation), but its cumulative effect on reducing cardiometabolic disease remains to be elucidated190,191.
Next to orlistat, metformin is the most common agent evaluated for the treatment of obesity in children187. Metformin, is a widely used anti-diabetic agent, that is FDA approved to treat type 2 diabetes in adults and children. Randomized trials of metformin have demonstrated modest weight loss (2–4 kg) in youth with marked improvement in markers of insulin resistance187. However, similar to studies conducted for orlistat, most metformin trials are ≤ 1 year duration and the durable effect of these pharmacological agents on weight-loss or cardiometabolic risk reduction requires further investigation. Other weight-loss medications approved for long-term use in adults, but not in children, are liraglutide, phentermine plus topiramate, buproprion plus naltrexone, and lorcaserin. The frequency of off-label use of these agents is unclear and their efficacy for CMR reduction unknown30.
In pubertal or post-pubertal youth who have not responded to lifestyle modification and/or pharmacotherapy, surgical weight loss intervention may be a viable option. Eligible candidates are those with either BMI of >40 kg/m2 or BMI of >35 kg/m2 as well as significant, extreme comorbidities, such as moderate to severe obstructive sleep apnea, type 2 diabetes, benign intracranial hypertension, or non-alcoholic steatohepatitis192. Youth should be Tanner 4–5 in pubertal development and have achieved at least near final height 17. The most common procedures used in children and associated with significant weight loss and improvement in metabolic control are: Roux-en-Y gastric bypass, sleeve gastrectomy, or laparoscopic adjustable gastric banding188,193–195. Post-surgical weight loss is often variable but usually ranges between 20–50% of initial body weight.
Bariatric surgery significantly improves short- and medium term CMR risk factors such as non-HDL cholesterol and glycemia at 3 and 8 years post-surgery196. The durable weight loss at 5–12 years post-operative is associated with persistent improvements in metabolic control (decreased prevalence of hypertension, type 2 diabetes and dyslipidemia)188,197. Remarkably, up to 94% of youth with dysglycemia experience remission of their T2DM or prediabetes at 1 year with sustained glycemic control up to 8 years post-operatively188,197. While these metabolic effects are encouraging, bariatric surgery should be reserved for appropriate candidates as the procedure can be associated with multiple peri- and post-operative complications. Early complications include anastomotic strictures, bowel perforation, wound infections and re-intervention related to the surgical procedure197,198. In addition, nutritional and vitamin deficiencies are among the most common late complications, requiring close monitoring. Lastly, the long-term effects on CMR and cardiovascular mortality are still under investigation.
Conclusion
Pediatric obesity is associated with high CMR, and evidence of subclinical atherosclerosis, type 2 diabetes and insulin resistance that begins in childhood. The cumulative burden and severity of childhood obesity are primary mediators of worse cardiovascular and metabolic outcomes. Good evidence demonstrates that decreasing the severity of obesity positively impacts markers of cardiovascular risk and delays or prevents onset of future cardiometabolic disease. Optimal risk reduction strategies should target risk factor clustering for the treatment of individual cardiometabolic abnormalities as indicated, and the early implementation of a multi-faceted behavioral lifestyle treatment program.
Footnotes
Competing interests
References
- 1.Gregg EW, Shaw JE. Global Health Effects of Overweight and Obesity. N Engl J Med. 2017 doi: 10.1056/NEJMe1706095. [DOI] [PubMed] [Google Scholar]
- 2.Obesity: preventing and managing the global epidemic Report of a WHO consultation. World Health Organization technical report series. 2000;894(i–xii):1–253. [PubMed] [Google Scholar]
- 3.Freedman DS, Khan LK, Serdula MK, Dietz WH, Srinivasan SR, Berenson GS. The relation of childhood BMI to adult adiposity: the Bogalusa Heart Study. Pediatrics. 2005;115(1):22–27. doi: 10.1542/peds.2004-0220. [DOI] [PubMed] [Google Scholar]
- 4.Singh AS, Mulder C, Twisk JW, van Mechelen W, Chinapaw MJ. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2008;9(5):474–488. doi: 10.1111/j.1467-789X.2008.00475.x. [DOI] [PubMed] [Google Scholar]
- 5.Juonala M, Magnussen C, Berenson G, et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. The New England journal of medicine. 2011;365(20):1876–1885. doi: 10.1056/NEJMoa1010112. [DOI] [PubMed] [Google Scholar]
- 6.Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2016;17(2):95–107. doi: 10.1111/obr.12334. [DOI] [PubMed] [Google Scholar]
- 7.Ward ZJ, Long MW, Resch SC, Giles CM, Cradock AL, Gortmaker SL. Simulation of Growth Trajectories of Childhood Obesity into Adulthood. N Engl J Med. 2017;377(22):2145–2153. doi: 10.1056/NEJMoa1703860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lightwood J, Bibbins-Domingo K, Coxson P, Wang YC, Williams L, Goldman L. Forecasting the future economic burden of current adolescent overweight: an estimate of the coronary heart disease policy model. American journal of public health. 2009;99(12):2230–2237. doi: 10.2105/AJPH.2008.152595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gortmaker SL, Must A, Perrin JM, Sobol AM, Dietz WH. Social and economic consequences of overweight in adolescence and young adulthood. N Engl J Med. 1993;329(14):1008–1012. doi: 10.1056/NEJM199309303291406. [DOI] [PubMed] [Google Scholar]
- 10.Collaboration NCDRF. 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 doi: 10.1016/S0140-6736(17)32129-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.World Health O. Report of the commission on ending childhood obesity. 2016 [Google Scholar]
- 12.Olds T, Maher C, Zumin S, et al. Evidence that the prevalence of childhood overweight is plateauing: data from nine countries. Int J Pediatr Obes. 2011;6(5–6):342–360. doi: 10.3109/17477166.2011.605895. [DOI] [PubMed] [Google Scholar]
- 13.Ogden CL, Carroll MD, Lawman HG, et al. Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988–1994 Through 2013–2014. JAMA : the journal of the American Medical Association. 2016;315(21):2292–2299. doi: 10.1001/jama.2016.6361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Broyles ST, Denstel KD, Church TS, et al. The epidemiological transition and the global childhood obesity epidemic. Int J Obes Suppl. 2015;5(Suppl 2):S3–8. doi: 10.1038/ijosup.2015.12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dietz WH. Double-duty solutions for the double burden of malnutrition. Lancet. 2017 doi: 10.1016/S0140-6736(17)32479-0. [DOI] [PubMed] [Google Scholar]
- 16.de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–667. doi: 10.2471/BLT.07.043497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kuczmarski RJ, Ogden CL, Guo SS, et al. CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2000;2002(246):1–190. [PubMed] [Google Scholar]
- 18.Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1240–1243. doi: 10.1136/bmj.320.7244.1240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Group WHOMGRS. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76–85. doi: 10.1111/j.1651-2227.2006.tb02378.x. [DOI] [PubMed] [Google Scholar]
- 20.Gonzalez-Casanova I, Sarmiento OL, Gazmararian JA, et al. Comparing three body mass index classification systems to assess overweight and obesity in children and adolescents. Rev Panam Salud Publica. 2013;33(5):349–355. doi: 10.1590/s1020-49892013000500006. [DOI] [PubMed] [Google Scholar]
- 21.Shields M, Tremblay MS. Canadian childhood obesity estimates based on WHO, IOTF and CDC cut-points. Int J Pediatr Obes. 2010;5(3):265–273. doi: 10.3109/17477160903268282. [DOI] [PubMed] [Google Scholar]
- 22.Khang YH, Park MJ. Trends in obesity among Korean children using four different criteria. Int J Pediatr Obes. 2011;6(3–4):206–214. doi: 10.3109/17477166.2010.490270. [DOI] [PubMed] [Google Scholar]
- 23.Ogden C, Carroll M, Kit B, Flegal K. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA: the Journal of the American Medical Association. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Freedman DS, Butte NF, Taveras EM, et al. BMI z-Scores are a poor indicator of adiposity among 2- to 19-year-olds with very high BMIs, NHANES 1999–2000 to 2013–2014. Obesity (Silver Spring) 2017;25(4):739–746. doi: 10.1002/oby.21782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Gulati AK, Kaplan DW, Daniels SR. Clinical tracking of severely obese children: a new growth chart. Pediatrics. 2012;130(6):1136–1140. doi: 10.1542/peds.2012-0596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kelly AS, Barlow SE, Rao G, et al. Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches: a scientific statement from the American Heart Association. Circulation. 2013;128(15):1689–1712. doi: 10.1161/CIR.0b013e3182a5cfb3. [DOI] [PubMed] [Google Scholar]
- 27.Flegal KM, Wei R, Ogden CL, Freedman DS, Johnson CL, Curtin LR. Characterizing extreme values of body mass index-for-age by using the 2000 Centers for Disease Control and Prevention growth charts. The American journal of clinical nutrition. 2009;90(5):1314–1320. doi: 10.3945/ajcn.2009.28335. [DOI] [PubMed] [Google Scholar]
- 28.Dhuper S, Bayoumi NS, Shah YD, Mehta S. Ethnic Differences in Lipid Profiles of Overweight, Obese, and Severely Obese Children and Adolescents 6–19 Years of Age. Child Obes. 2017;13(3):236–241. doi: 10.1089/chi.2016.0208. [DOI] [PubMed] [Google Scholar]
- 29.Friedemann C, Heneghan C, Mahtani K, Thompson M, Perera R, Ward AM. Cardiovascular disease risk in healthy children and its association with body mass index: systematic review and meta-analysis. BMJ. 2012;345:e4759. doi: 10.1136/bmj.e4759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.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]
- 31.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(14):1307–1317. doi: 10.1056/NEJMoa1502821. [DOI] [PubMed] [Google Scholar]
- 32.Li L, Perez A, Wu LT, Ranjit N, Brown HS, Kelder SH. Cardiometabolic Risk Factors among Severely Obese Children and Adolescents in the United States, 1999–2012. Child Obes. 2016;12(1):12–19. doi: 10.1089/chi.2015.0136. [DOI] [PubMed] [Google Scholar]
- 33.Javed A, Jumean M, Murad MH, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta-analysis. Pediatric obesity. 2015;10(3):234–244. doi: 10.1111/ijpo.242. [DOI] [PubMed] [Google Scholar]
- 34.Simmonds M, Llewellyn A, Owen CG, Woolacott N. Simple tests for the diagnosis of childhood obesity: a systematic review and meta-analysis. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2016;17(12):1301–1315. doi: 10.1111/obr.12462. [DOI] [PubMed] [Google Scholar]
- 35.Crowell JA, Davis CR, Joung KE, et al. Metabolic pathways link childhood adversity to elevated blood pressure in midlife adults. Obes Res Clin Pract. 2016;10(5):580–588. doi: 10.1016/j.orcp.2015.10.009. [DOI] [PubMed] [Google Scholar]
- 36.Winning A, Glymour MM, McCormick MC, Gilsanz P, Kubzansky LD. Childhood Psychological Distress as a Mediator in the Relationship Between Early-Life Social Disadvantage and Adult Cardiometabolic Risk: Evidence From the 1958 British Birth Cohort. Psychosom Med. 2016;78(9):1019–1030. doi: 10.1097/PSY.0000000000000409. [DOI] [PubMed] [Google Scholar]
- 37.Juonala M, Pulkki-Raback L, Elovainio M, et al. Childhood Psychosocial Factors and Coronary Artery Calcification in Adulthood: The Cardiovascular Risk in Young Finns Study. JAMA pediatrics. 2016;170(5):466–472. doi: 10.1001/jamapediatrics.2015.4121. [DOI] [PubMed] [Google Scholar]
- 38.Hakulinen C, Pulkki-Raback L, Elovainio M, et al. Childhood Psychosocial Cumulative Risks and Carotid Intima-Media Thickness in Adulthood: The Cardiovascular Risk in Young Finns Study. Psychosom Med. 2016;78(2):171–181. doi: 10.1097/PSY.0000000000000246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Suglia SF, Koenen KC, Boynton-Jarrett R, et al. Childhood and Adolescent Adversity and Cardiometabolic Outcomes: A Scientific Statement From the American Heart Association. Circulation. 2017 doi: 10.1161/CIR.0000000000000536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Staiano AE, Broyles ST, Gupta AK, Katzmarzyk PT. Ethnic and sex differences in visceral, subcutaneous, and total body fat in children and adolescents. Obesity. 2013;21(6):1251–1255. doi: 10.1002/oby.20210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Razak F, Anand SS, Shannon H, et al. Defining obesity cut points in a multiethnic population. Circulation. 2007;115(16):2111–2118. doi: 10.1161/CIRCULATIONAHA.106.635011. [DOI] [PubMed] [Google Scholar]
- 42.Hsia DS, Larrivee S, Cefalu WT, Johnson WD. Impact of Lowering BMI Cut Points as Recommended in the Revised American Diabetes Association’s Standards of Medical Care in Diabetes-2015 on Diabetes Screening in Asian Americans. Diabetes care. 2015;38(11):2166–2168. doi: 10.2337/dc15-0299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Reilly JJ. Assessment of obesity in children and adolescents: synthesis of recent systematic reviews and clinical guidelines. J Hum Nutr Diet. 2010;23(3):205–211. doi: 10.1111/j.1365-277X.2010.01054.x. [DOI] [PubMed] [Google Scholar]
- 44.Berenson GS, Srinivasan SR, Bao W, Newman WP, 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338(23):1650–1656. doi: 10.1056/NEJM199806043382302. [DOI] [PubMed] [Google Scholar]
- 45.McGill HC, Jr, McMahan CA, Zieske AW, et al. Associations of coronary heart disease risk factors with the intermediate lesion of atherosclerosis in youth. The Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Research Group. Arterioscler Thromb Vasc Biol. 2000;20(8):1998–2004. doi: 10.1161/01.atv.20.8.1998. [DOI] [PubMed] [Google Scholar]
- 46.Woo KS, Chook P, Yu CW, et al. Overweight in children is associated with arterial endothelial dysfunction and intima-media thickening. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 2004;28(7):852–857. doi: 10.1038/sj.ijo.0802539. [DOI] [PubMed] [Google Scholar]
- 47.Iannuzzi A, Licenziati MR, Acampora C, et al. Increased carotid intima-media thickness and stiffness in obese children. Diabetes care. 2004;27(10):2506–2508. doi: 10.2337/diacare.27.10.2506. [DOI] [PubMed] [Google Scholar]
- 48.Reinehr T, Kiess W, de Sousa G, Stoffel-Wagner B, Wunsch R. Intima media thickness in childhood obesity: relations to inflammatory marker, glucose metabolism, and blood pressure. Metabolism: clinical and experimental. 2006;55(1):113–118. doi: 10.1016/j.metabol.2005.07.016. [DOI] [PubMed] [Google Scholar]
- 49.Wunsch R, de Sousa G, Toschke AM, Reinehr T. Intima-media thickness in obese children before and after weight loss. Pediatrics. 2006;118(6):2334–2340. doi: 10.1542/peds.2006-0302. [DOI] [PubMed] [Google Scholar]
- 50.Simsek E, Balta H, Balta Z, Dallar Y. Childhood obesity-related cardiovascular risk factors and carotid intima-media thickness. Turk J Pediatr. 2010;52(6):602–611. [PubMed] [Google Scholar]
- 51.Cote AT, Phillips AA, Harris KC, Sandor GG, Panagiotopoulos C, Devlin AM. Obesity and arterial stiffness in children: systematic review and meta-analysis. Arterioscler Thromb Vasc Biol. 2015;35(4):1038–1044. doi: 10.1161/ATVBAHA.114.305062. [DOI] [PubMed] [Google Scholar]
- 52.Li S, Chen W, Srinivasan SR, et al. Childhood cardiovascular risk factors and carotid vascular changes in adulthood: the Bogalusa Heart Study. JAMA : the journal of the American Medical Association. 2003;290(17):2271–2276. doi: 10.1001/jama.290.17.2271. [DOI] [PubMed] [Google Scholar]
- 53.Davis PH, Dawson JD, Riley WA, Lauer RM. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood through middle age: The Muscatine Study. Circulation. 2001;104(23):2815–2819. doi: 10.1161/hc4601.099486. [DOI] [PubMed] [Google Scholar]
- 54.Mahoney LT, Burns TL, Stanford W, et al. Coronary risk factors measured in childhood and young adult life are associated with coronary artery calcification in young adults: the Muscatine Study. J Am Coll Cardiol. 1996;27(2):277–284. doi: 10.1016/0735-1097(95)00461-0. [DOI] [PubMed] [Google Scholar]
- 55.Juonala M, Jarvisalo MJ, Maki-Torkko N, Kahonen M, Viikari JS, Raitakari OT. Risk factors identified in childhood and decreased carotid artery elasticity in adulthood: the Cardiovascular Risk in Young Finns Study. Circulation. 2005;112(10):1486–1493. doi: 10.1161/CIRCULATIONAHA.104.502161. [DOI] [PubMed] [Google Scholar]
- 56.Gidding SS, Rana JS, Prendergast C, et al. Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Risk Score in Young Adults Predicts Coronary Artery and Abdominal Aorta Calcium in Middle Age: The CARDIA Study. Circulation. 2016;133(2):139–146. doi: 10.1161/CIRCULATIONAHA.115.018042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Freedman DS, Patel DA, Srinivasan SR, et al. The contribution of childhood obesity to adult carotid intima-media thickness: the Bogalusa Heart Study. Int J Obes (Lond) 2008;32(5):749–756. doi: 10.1038/sj.ijo.0803798. [DOI] [PubMed] [Google Scholar]
- 58.Raitakari OT, Juonala M, Kahonen M, et al. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA : the journal of the American Medical Association. 2003;290(17):2277–2283. doi: 10.1001/jama.290.17.2277. [DOI] [PubMed] [Google Scholar]
- 59.Magnussen CG, Venn A, Thomson R, et al. The association of pediatric low- and high-density lipoprotein cholesterol dyslipidemia classifications and change in dyslipidemia status with carotid intima-media thickness in adulthood evidence from the cardiovascular risk in Young Finns study, the Bogalusa Heart study, and the CDAH (Childhood Determinants of Adult Health) study. J Am Coll Cardiol. 2009;53(10):860–869. doi: 10.1016/j.jacc.2008.09.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Saydah S, Bullard K, Imperatore G, Geiss L, Gregg E. Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality. Pediatrics. 2013;131(3):e679–e686. doi: 10.1542/peds.2012-2583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Twig G, Yaniv G, Levine H, et al. Body-Mass Index in 2.3 Million Adolescents and Cardiovascular Death in Adulthood. N Engl J Med. 2016;374(25):2430–2440. doi: 10.1056/NEJMoa1503840. [DOI] [PubMed] [Google Scholar]
- 62.Juonala M, Raitakari M, J SAV, Raitakari OT. Obesity in youth is not an independent predictor of carotid IMT in adulthood. The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2006;185(2):388–393. doi: 10.1016/j.atherosclerosis.2005.06.016. [DOI] [PubMed] [Google Scholar]
- 63.Oren A, Vos LE, Uiterwaal CS, Gorissen WH, Grobbee DE, Bots ML. Change in body mass index from adolescence to young adulthood and increased carotid intima-media thickness at 28 years of age: the Atherosclerosis Risk in Young Adults study. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 2003;27(11):1383–1390. doi: 10.1038/sj.ijo.0802404. [DOI] [PubMed] [Google Scholar]
- 64.Yan Y, Liu J, Wang L, et al. Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood. International journal of cardiology. 2017 doi: 10.1016/j.ijcard.2017.05.085. [DOI] [PubMed] [Google Scholar]
- 65.Dwyer T, Sun C, Magnussen CG, et al. Cohort Profile: the international childhood cardiovascular cohort (i3C) consortium. International journal of epidemiology. 2013;42(1):86–96. doi: 10.1093/ije/dys004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Oikonen M, Laitinen TT, Magnussen CG, et al. Ideal cardiovascular health in young adult populations from the United States, Finland, and Australia and its association with cIMT: the International Childhood Cardiovascular Cohort Consortium. J Am Heart Assoc. 2013;2(3):e000244. doi: 10.1161/JAHA.113.000244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Laitinen TT, Pahkala K, Venn A, et al. Childhood lifestyle and clinical determinants of adult ideal cardiovascular health: the Cardiovascular Risk in Young Finns Study, the Childhood Determinants of Adult Health Study, the Princeton Follow-Up Study. International journal of cardiology. 2013;169(2):126–132. doi: 10.1016/j.ijcard.2013.08.090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Juonala M, Magnussen CG, Venn A, et al. Influence of age on associations between childhood risk factors and carotid intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study, the Childhood Determinants of Adult Health Study, the Bogalusa Heart Study, and the Muscatine Study for the International Childhood Cardiovascular Cohort (i3C) Consortium. Circulation. 2010;122(24):2514–2520. doi: 10.1161/CIRCULATIONAHA.110.966465. [DOI] [PubMed] [Google Scholar]
- 69.Mangner N, Scheuermann K, Winzer E, et al. Childhood obesity: impact on cardiac geometry and function. JACC Cardiovasc Imaging. 2014;7(12):1198–1205. doi: 10.1016/j.jcmg.2014.08.006. [DOI] [PubMed] [Google Scholar]
- 70.Juhola J, Magnussen CG, Viikari JS, et al. Tracking of serum lipid levels, blood pressure, and body mass index from childhood to adulthood: the Cardiovascular Risk in Young Finns Study. The Journal of pediatrics. 2011;159(4):584–590. doi: 10.1016/j.jpeds.2011.03.021. [DOI] [PubMed] [Google Scholar]
- 71.Peplies J, Bornhorst C, Gunther K, et al. Longitudinal associations of lifestyle factors and weight status with insulin resistance (HOMA-IR) in preadolescent children: the large prospective cohort study IDEFICS. Int J Behav Nutr Phys Act. 2016;13(1):97. doi: 10.1186/s12966-016-0424-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Juonala M, Magnussen CG, Berenson GS, et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011;365(20):1876–1885. doi: 10.1056/NEJMoa1010112. [DOI] [PubMed] [Google Scholar]
- 73.Yang H, Huynh QL, Venn AJ, Dwyer T, Marwick TH. Associations of childhood and adult obesity with left ventricular structure and function. Int J Obes (Lond) 2017;41(4):560–568. doi: 10.1038/ijo.2016.234. [DOI] [PubMed] [Google Scholar]
- 74.Petkeviciene J, Klumbiene J, Kriaucioniene V, Raskiliene A, Sakyte E, Ceponiene I. Anthropometric measurements in childhood and prediction of cardiovascular risk factors in adulthood: Kaunas cardiovascular risk cohort study. BMC public health. 2015;15:218. doi: 10.1186/s12889-015-1528-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Ohlsson C, Bygdell M, Sonden A, Jern C, Rosengren A, Kindblom JM. BMI increase through puberty and adolescence is associated with risk of adult stroke. Neurology. 2017 doi: 10.1212/WNL.0000000000004158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.American Diabetes A. 12. Children and Adolescents. Diabetes care. 2017;40(Suppl 1):S105–S113. doi: 10.2337/dc17-S015. [DOI] [PubMed] [Google Scholar]
- 77.Copeland KC, Zeitler P, Geffner M, et al. Characteristics of adolescents and youth with recent-onset type 2 diabetes: the TODAY cohort at baseline. J Clin Endocrinol Metab. 2011;96(1):159–167. doi: 10.1210/jc.2010-1642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Giannini C, Weiss R, Cali A, et al. Evidence for early defects in insulin sensitivity and secretion before the onset of glucose dysregulation in obese youths: a longitudinal study. Diabetes. 2012;61(3):606–614. doi: 10.2337/db11-1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Yeckel CW, Taksali SE, Dziura J, et al. The normal glucose tolerance continuum in obese youth: evidence for impairment in beta-cell function independent of insulin resistance. J Clin Endocrinol Metab. 2005;90(2):747–754. doi: 10.1210/jc.2004-1258. [DOI] [PubMed] [Google Scholar]
- 80.Weiss R, Caprio S, Trombetta M, Taksali SE, Tamborlane WV, Bonadonna R. Beta-cell function across the spectrum of glucose tolerance in obese youth. Diabetes. 2005;54(6):1735–1743. doi: 10.2337/diabetes.54.6.1735. [DOI] [PubMed] [Google Scholar]
- 81.Cali AM, Man CD, Cobelli C, et al. Primary defects in beta-cell function further exacerbated by worsening of insulin resistance mark the development of impaired glucose tolerance in obese adolescents. Diabetes care. 2009;32(3):456–461. doi: 10.2337/dc08-1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Lee AM, Fermin CR, Filipp SL, Gurka MJ, DeBoer MD. Examining trends in prediabetes and its relationship with the metabolic syndrome in US adolescents, 1999–2014. Acta Diabetol. 2017;54(4):373–381. doi: 10.1007/s00592-016-0958-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Sinha R, Fisch G, Teague B, et al. Prevalence of impaired glucose tolerance among children and adolescents with marked obesity. N Engl J Med. 2002;346(11):802–810. doi: 10.1056/NEJMoa012578. [DOI] [PubMed] [Google Scholar]
- 84.Weiss R, Taksali SE, Tamborlane WV, Burgert TS, Savoye M, Caprio S. Predictors of changes in glucose tolerance status in obese youth. Diabetes care. 2005;28(4):902–909. doi: 10.2337/diacare.28.4.902. [DOI] [PubMed] [Google Scholar]
- 85.Mayer-Davis EJ, Lawrence JM, Dabelea D, et al. Incidence Trends of Type 1 and Type 2 Diabetes among Youths, 2002–2012. N Engl J Med. 2017;376(15):1419–1429. doi: 10.1056/NEJMoa1610187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Dabelea D, Mayer-Davis EJ, Saydah S, et al. Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. JAMA : the journal of the American Medical Association. 2014;311(17):1778–1786. doi: 10.1001/jama.2014.3201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Dabelea D, Stafford JM, Mayer-Davis EJ, et al. Association of Type 1 Diabetes vs Type 2 Diabetes Diagnosed During Childhood and Adolescence With Complications During Teenage Years and Young Adulthood. JAMA : the journal of the American Medical Association. 2017;317(8):825–835. doi: 10.1001/jama.2017.0686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Amutha A, Anjana RM, Venkatesan U, et al. Incidence of complications in young-onset diabetes: Comparing type 2 with type 1 (the young diab study) Diabetes research and clinical practice. 2017;123:1–8. doi: 10.1016/j.diabres.2016.11.006. [DOI] [PubMed] [Google Scholar]
- 89.Group TS. Lipid and inflammatory cardiovascular risk worsens over 3 years in youth with type 2 diabetes: the TODAY clinical trial. Diabetes care. 2013;36(6):1758–1764. doi: 10.2337/dc12-2388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Shah RV, Murthy VL, Abbasi SA, et al. Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study. JACC Cardiovasc Imaging. 2014;7(12):1221–1235. doi: 10.1016/j.jcmg.2014.07.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Ali O, Cerjak D, Kent JW, Jr, James R, Blangero J, Zhang Y. Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study. Pediatric obesity. 2014;9(3):e58–62. doi: 10.1111/j.2047-6310.2014.218.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Kuper H, Taylor A, Krishna KV, et al. Is vulnerability to cardiometabolic disease in Indians mediated by abdominal adiposity or higher body adiposity. BMC public health. 2014;14:1239. doi: 10.1186/1471-2458-14-1239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Hatch-Stein JA, Kelly A, Gidding SS, Zemel BS, Magge SN. Sex differences in the associations of visceral adiposity, homeostatic model assessment of insulin resistance, and body mass index with lipoprotein subclass analysis in obese adolescents. J Clin Lipidol. 2016;10(4):757–766. doi: 10.1016/j.jacl.2016.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Bennett B, Larson-Meyer DE, Ravussin E, et al. Impaired insulin sensitivity and elevated ectopic fat in healthy obese vs. nonobese prepubertal children. Obesity (Silver Spring) 2012;20(2):371–375. doi: 10.1038/oby.2011.264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116(1):39–48. doi: 10.1161/CIRCULATIONAHA.106.675355. [DOI] [PubMed] [Google Scholar]
- 96.Nadeau KJ, Anderson BJ, Berg EG, et al. Youth-Onset Type 2 Diabetes Consensus Report: Current Status, Challenges, and Priorities. Diabetes care. 2016;39(9):1635–1642. doi: 10.2337/dc16-1066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Weinstock RS, Drews KL, Caprio S, Leibel NI, McKay SV, Zeitler PS. Metabolic syndrome is common and persistent in youth-onset type 2 diabetes: Results from the TODAY clinical trial. Obesity. 2015;23(7):1357–1361. doi: 10.1002/oby.21120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Zeitler P, Hirst K, Pyle L, et al. A clinical trial to maintain glycemic control in youth with type 2 diabetes. The New England journal of medicine. 2012;366(24):2247–2256. doi: 10.1056/NEJMoa1109333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Effects of metformin, metformin plus rosiglitazone, and metformin plus lifestyle on insulin sensitivity and Beta-cell function in TODAY. Diabetes care. 2013;36(6):1749–1757. doi: 10.2337/dc12-2393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Kahn SE, Lachin JM, Zinman B, et al. Effects of rosiglitazone, glyburide, and metformin on beta-cell function and insulin sensitivity in ADOPT. Diabetes. 2011;60(5):1552–1560. doi: 10.2337/db10-1392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Kahn SE, Haffner SM, Heise MA, et al. Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy. N Engl J Med. 2006;355(23):2427–2443. doi: 10.1056/NEJMoa066224. [DOI] [PubMed] [Google Scholar]
- 102.Chung S, Hsia D, Chacko S, Rodriguez L, Haymond M. Increased gluconeogenesis in youth with newly diagnosed type 2 diabetes. Diabetologia. 2015;58(3):596–603. doi: 10.1007/s00125-014-3455-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Arslanian S, Kim JY, Nasr A, et al. Insulin sensitivity across the lifespan from obese adolescents to obese adults with impaired glucose tolerance: Who is worse off? Pediatric diabetes. 2017 doi: 10.1111/pedi.12562. [DOI] [PubMed] [Google Scholar]
- 104.Gaillard R, Steegers EA, Duijts L, et al. Childhood cardiometabolic outcomes of maternal obesity during pregnancy: the Generation R Study. Hypertension. 2014;63(4):683–691. doi: 10.1161/HYPERTENSIONAHA.113.02671. [DOI] [PubMed] [Google Scholar]
- 105.Chernausek SD, Arslanian S, Caprio S, et al. Relationship Between Parental Diabetes and Presentation of Metabolic and Glycemic Function in Youth With Type 2 Diabetes: Baseline Findings From the TODAY Trial. Diabetes care. 2016;39(1):110–117. doi: 10.2337/dc15-1557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Fuchsberger C, Flannick J, Teslovich TM, et al. The genetic architecture of type 2 diabetes. Nature. 2016;536(7614):41. doi: 10.1038/nature18642. -+ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Swanson JM, Entringer S, Buss C, Wadhwa PD. Developmental origins of health and disease: environmental exposures. Semin Reprod Med. 2009;27(5):391–402. doi: 10.1055/s-0029-1237427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Wadhwa PD, Buss C, Entringer S, Swanson JM. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin Reprod Med. 2009;27(5):358–368. doi: 10.1055/s-0029-1237424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.van Dijk SJ, Tellam RL, Morrison JL, Muhlhausler BS, Molloy PL. Recent developments on the role of epigenetics in obesity and metabolic disease. Clin Epigenetics. 2015;7 doi: 10.1186/s13148-015-0101-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Berglind D, Muller P, Willmer M, et al. Differential methylation in inflammation and type 2 diabetes genes in siblings born before and after maternal bariatric surgery. Obesity (Silver Spring) 2016;24(1):250–261. doi: 10.1002/oby.21340. [DOI] [PubMed] [Google Scholar]
- 111.Lee HS. Impact of Maternal Diet on the Epigenome during In Utero Life and the Developmental Programming of Diseases in Childhood and Adulthood. Nutrients. 2015;7(11):9492–9507. doi: 10.3390/nu7115467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Crume TL, Andrews JS, D’Agostino RB, et al. The influence of exposure to maternal diabetes in utero on the rate of decline in beta-cell function among youth with diabetes. Journal of Pediatric Endocrinology & Metabolism. 2013;26(7–8):721–727. doi: 10.1515/jpem-2012-0385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Mathai S, Derraik JG, Cutfield WS, et al. Increased adiposity in adults born preterm and their children. PloS one. 2013;8(11):e81840. doi: 10.1371/journal.pone.0081840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Ekelund U, Ong KK, Linne Y, et al. Association of weight gain in infancy and early childhood with metabolic risk in young adults. J Clin Endocrinol Metab. 2007;92(1):98–103. doi: 10.1210/jc.2006-1071. [DOI] [PubMed] [Google Scholar]
- 115.Ibanez L, Lopez-Bermejo A, Suarez L, Marcos MV, Diaz M, de Zegher F. Visceral adiposity without overweight in children born small for gestational age. J Clin Endocrinol Metab. 2008;93(6):2079–2083. doi: 10.1210/jc.2007-2850. [DOI] [PubMed] [Google Scholar]
- 116.Ibanez L, Suarez L, Lopez-Bermejo A, Diaz M, Valls C, de Zegher F. Early development of visceral fat excess after spontaneous catch-up growth in children with low birth weight. J Clin Endocrinol Metab. 2008;93(3):925–928. doi: 10.1210/jc.2007-1618. [DOI] [PubMed] [Google Scholar]
- 117.Vianna CA, Horta BL, Gigante DP, de Barros FC. Pulse Wave Velocity at Early Adulthood: Breastfeeding and Nutrition during Pregnancy and Childhood. PloS one. 2016;11(4):e0152501. doi: 10.1371/journal.pone.0152501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Andrade RLM, Gigante DP, de Oliveira IO, Horta BL. Conditions of gestation, childbirth and childhood associated with C-peptide in young adults in the 1982 Birth Cohort in Pelotas-RS; Brazil. BMC Cardiovasc Disord. 2017;17(1):181. doi: 10.1186/s12872-017-0613-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.de Beer M, Vrijkotte TG, Fall CH, van Eijsden M, Osmond C, Gemke RJ. Associations of Infant Feeding and Timing of Weight Gain and Linear Growth during Early Life with Childhood Blood Pressure: Findings from a Prospective Population Based Cohort Study. PloS one. 2016;11(11):e0166281. doi: 10.1371/journal.pone.0166281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Expert Panel on Integrated Guidelines for Cardiovascular H, Risk Reduction in C, Adolescents, National Heart L, Blood I. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011;128(Suppl 5):S213–256. doi: 10.1542/peds.2009-2107C. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Savage JS, Birch LL, Marini M, Anzman-Frasca S, Paul IM. Effect of the INSIGHT Responsive Parenting Intervention on Rapid Infant Weight Gain and Overweight Status at Age 1 Year: A Randomized Clinical Trial. JAMA pediatrics. 2016;170(8):742–749. doi: 10.1001/jamapediatrics.2016.0445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Miller AL, Lumeng JC, LeBourgeois MK. Sleep patterns and obesity in childhood. Current opinion in endocrinology, diabetes, and obesity. 2015;22(1):41–47. doi: 10.1097/MED.0000000000000125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Felso R, Lohner S, Hollody K, Erhardt E, Molnar D. Relationship between sleep duration and childhood obesity: Systematic review including the potential underlying mechanisms. Nutr Metab Cardiovasc Dis. 2017;27(9):751–761. doi: 10.1016/j.numecd.2017.07.008. [DOI] [PubMed] [Google Scholar]
- 124.Weiss R, Dziura J, Burgert TS, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004;350(23):2362–2374. doi: 10.1056/NEJMoa031049. [DOI] [PubMed] [Google Scholar]
- 125.Reinehr T, Wunsch R, Putter C, Scherag A. Relationship between carotid intima-media thickness and metabolic syndrome in adolescents. The Journal of pediatrics. 2013;163(2):327–332. doi: 10.1016/j.jpeds.2013.01.032. [DOI] [PubMed] [Google Scholar]
- 126.Sen Y, Kandemir N, Alikasifoglu A, Gonc N, Ozon A. Prevalence and risk factors of metabolic syndrome in obese children and adolescents: the role of the severity of obesity. Eur J Pediatr. 2008;167(10):1183–1189. doi: 10.1007/s00431-007-0658-x. [DOI] [PubMed] [Google Scholar]
- 127.Mattsson N, Ronnemaa T, Juonala M, Viikari JS, Raitakari OT. Childhood predictors of the metabolic syndrome in adulthood. The Cardiovascular Risk in Young Finns Study. Ann Med. 2008;40(7):542–552. doi: 10.1080/07853890802307709. [DOI] [PubMed] [Google Scholar]
- 128.Zimmet P, Alberti KG, Kaufman F, et al. The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatric diabetes. 2007;8(5):299–306. doi: 10.1111/j.1399-5448.2007.00271.x. [DOI] [PubMed] [Google Scholar]
- 129.Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–2752. doi: 10.1161/CIRCULATIONAHA.105.169404. [DOI] [PubMed] [Google Scholar]
- 130.Magge SN, Goodman E, Armstrong SC, Committee On N, Section On E, Section On O The Metabolic Syndrome in Children and Adolescents: Shifting the Focus to Cardiometabolic Risk Factor Clustering. Pediatrics. 2017 doi: 10.1542/peds.2017-1603. [DOI] [PubMed] [Google Scholar]
- 131.Anderson AD, Solorzano CM, McCartney CR. Childhood obesity and its impact on the development of adolescent PCOS. Semin Reprod Med. 2014;32(3):202–213. doi: 10.1055/s-0034-1371092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Christensen SB, Black MH, Smith N, et al. Prevalence of polycystic ovary syndrome in adolescents. Fertility and sterility. 2013;100(2):470–477. doi: 10.1016/j.fertnstert.2013.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Cree-Green M, Newcomer BR, Coe G, et al. Peripheral insulin resistance in obese girls with hyperandrogenism is related to oxidative phosphorylation and elevated serum free fatty acids. American journal of physiology Endocrinology and metabolism. 2015;308(9):E726–733. doi: 10.1152/ajpendo.00619.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Hughan KS, Tfayli H, Warren-Ulanch JG, Barinas-Mitchell E, Arslanian SA. Early Biomarkers of Subclinical Atherosclerosis in Obese Adolescent Girls with Polycystic Ovary Syndrome. The Journal of pediatrics. 2016;168:104–111 e101. doi: 10.1016/j.jpeds.2015.09.082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Patel SS, Truong U, King M, et al. Obese adolescents with polycystic ovarian syndrome have elevated cardiovascular disease risk markers. Vasc Med. 2017;22(2):85–95. doi: 10.1177/1358863X16682107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Webber LS, Srinivasan SR, Wattigney WA, Berenson GS. Tracking of serum lipids and lipoproteins from childhood to adulthood. The Bogalusa Heart Study. Am J Epidemiol. 1991;133(9):884–899. doi: 10.1093/oxfordjournals.aje.a115968. [DOI] [PubMed] [Google Scholar]
- 137.Magnussen CG, Raitakari OT, Thomson R, et al. Utility of currently recommended pediatric dyslipidemia classifications in predicting dyslipidemia in adulthood: evidence from the Childhood Determinants of Adult Health (CDAH) study, Cardiovascular Risk in Young Finns Study, and Bogalusa Heart Study. Circulation. 2008;117(1):32–42. doi: 10.1161/CIRCULATIONAHA.107.718981. [DOI] [PubMed] [Google Scholar]
- 138.Ding W, Cheng H, Yan Y, et al. 10-Year Trends in Serum Lipid Levels and Dyslipidemia Among Children and Adolescents From Several Schools in Beijing, China. J Epidemiol. 2016;26(12):637–645. doi: 10.2188/jea.JE20140252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Tabas I, Williams KJ, Boren J. Subendothelial lipoprotein retention as the initiating process in atherosclerosis: update and therapeutic implications. Circulation. 2007;116(16):1832–1844. doi: 10.1161/CIRCULATIONAHA.106.676890. [DOI] [PubMed] [Google Scholar]
- 140.Juonala M, Viikari JS, Ronnemaa T, et al. Associations of dyslipidemias from childhood to adulthood with carotid intima-media thickness, elasticity, and brachial flow-mediated dilatation in adulthood: the Cardiovascular Risk in Young Finns Study. Arterioscler Thromb Vasc Biol. 2008;28(5):1012–1017. doi: 10.1161/ATVBAHA.108.163329. [DOI] [PubMed] [Google Scholar]
- 141.Bellentani S, Marino M. Epidemiology and natural history of non-alcoholic fatty liver disease (NAFLD) Ann Hepatol. 2009;8(Suppl 1):S4–8. [PubMed] [Google Scholar]
- 142.Ahmed MH, Barakat S, Almobarak AO. Nonalcoholic fatty liver disease and cardiovascular disease: has the time come for cardiologists to be hepatologists? J Obes. 2012;2012:483135. doi: 10.1155/2012/483135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Anderson EL, Howe LD, Jones HE, Higgins JP, Lawlor DA, Fraser A. The Prevalence of Non-Alcoholic Fatty Liver Disease in Children and Adolescents: A Systematic Review and Meta-Analysis. PloS one. 2015;10(10):e0140908. doi: 10.1371/journal.pone.0140908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Oni ET, Agatston AS, Blaha MJ, et al. A systematic review: burden and severity of subclinical cardiovascular disease among those with nonalcoholic fatty liver; should we care? Atherosclerosis. 2013;230(2):258–267. doi: 10.1016/j.atherosclerosis.2013.07.052. [DOI] [PubMed] [Google Scholar]
- 145.Koot BG, de Groot E, van der Baan-Slootweg OH, et al. Nonalcoholic fatty liver disease and cardiovascular risk in children with obesity. Obesity (Silver Spring) 2015;23(6):1239–1243. doi: 10.1002/oby.21076. [DOI] [PubMed] [Google Scholar]
- 146.Torun E, Aydin S, Gokce S, Ozgen IT, Donmez T, Cesur Y. Carotid intima-media thickness and flow-mediated dilation in obese children with non-alcoholic fatty liver disease. Turk J Gastroenterol. 2014;25(Suppl 1):92–98. doi: 10.5152/tjg.2014.5552. [DOI] [PubMed] [Google Scholar]
- 147.Sanches PL, de Piano A, Campos RM, et al. Association of nonalcoholic fatty liver disease with cardiovascular risk factors in obese adolescents: the role of interdisciplinary therapy. J Clin Lipidol. 2014;8(3):265–272. doi: 10.1016/j.jacl.2014.02.007. [DOI] [PubMed] [Google Scholar]
- 148.Anca Bacha FT, Bartz Sara K, Barlow Sarah E, David Chu Zill, Krishnamurthy Ramkumar, Krishnamurthy Rajesh, Smith O’Brian E. Nonalcoholic Fatty Liver Disease in Hispanic Youth With Dysglycemia: Risk for Subclinical Atherosclerosis? Journal of the Endocrine Society. 2017;1(8):1029–1040. doi: 10.1210/js.2017-00257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Katz SL, MacLean JE, Hoey L, et al. Insulin Resistance and Hypertension in Obese Youth With Sleep-Disordered Breathing Treated With Positive Airway Pressure: A Prospective Multicenter Study. J Clin Sleep Med. 2017;13(9):1039–1047. doi: 10.5664/jcsm.6718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Shamsuzzaman A, Szczesniak RD, Fenchel MC, Amin RS. Glucose, insulin, and insulin resistance in normal-weight, overweight and obese children with obstructive sleep apnea. Obes Res Clin Pract. 2014;8(6):e584–591. doi: 10.1016/j.orcp.2013.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Watson SE, Li Z, Tu W, et al. Obstructive sleep apnoea in obese adolescents and cardiometabolic risk markers. Pediatric obesity. 2014;9(6):471–477. doi: 10.1111/j.2047-6310.2013.00198.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Koren D, Gozal D, Philby MF, Bhattacharjee R, Kheirandish-Gozal L. Impact of obstructive sleep apnoea on insulin resistance in nonobese and obese children. Eur Respir J. 2016;47(4):1152–1161. doi: 10.1183/13993003.01430-2015. [DOI] [PubMed] [Google Scholar]
- 153.Bazzano LA, Hu T, Bertisch SM, et al. Childhood obesity patterns and relation to middle-age sleep apnoea risk: the Bogalusa Heart Study. Pediatric obesity. 2016;11(6):535–542. doi: 10.1111/ijpo.12103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Pinto N, Marino B, Wernovsky G, et al. Obesity is a common comorbidity in children with congenital and acquired heart disease. Pediatrics. 2007;120(5):e1157–e1164. doi: 10.1542/peds.2007-0306. [DOI] [PubMed] [Google Scholar]
- 155.Pemberton V, McCrindle B, Barkin S, et al. Report of the National Heart, Lung, and Blood Institute’s Working Group on obesity and other cardiovascular risk factors in congenital heart disease. Circulation. 2010;121(9):1153–1159. doi: 10.1161/CIRCULATIONAHA.109.921544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Lui GK, Saidi A, Bhatt AB, et al. Diagnosis and Management of Noncardiac Complications in Adults With Congenital Heart Disease: A Scientific Statement From the American Heart Association. Circulation. 2017;136(20):e348–e392. doi: 10.1161/CIR.0000000000000535. [DOI] [PubMed] [Google Scholar]
- 157.Khairy P, Ionescu-Ittu R, Mackie AS, Abrahamowicz M, Pilote L, Marelli AJ. Changing mortality in congenital heart disease. J Am Coll Cardiol. 2010;56(14):1149–1157. doi: 10.1016/j.jacc.2010.03.085. [DOI] [PubMed] [Google Scholar]
- 158.Chung ST, Hong B, Patterson L, Petit CJ, Ham JN. High Overweight and Obesity in Fontan Patients: A 20-Year History. Pediatr Cardiol. 2016;37(1):192–200. doi: 10.1007/s00246-015-1265-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Pemberton VL, McCrindle BW, Barkin S, et al. Report of the National Heart, Lung, and Blood Institute’s Working Group on obesity and other cardiovascular risk factors in congenital heart disease. Circulation. 2010;121(9):1153–1159. doi: 10.1161/CIRCULATIONAHA.109.921544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Ray T, Green A, Henry K. Physical activity and obesity in children with congenital cardiac disease. Cardiology in the young. 2011;21(6):603–607. doi: 10.1017/S1047951111000540. [DOI] [PubMed] [Google Scholar]
- 161.Stefan M, Hopman W, Smythe J. Effect of activity restriction owing to heart disease on obesity. Archives of pediatrics & adolescent medicine. 2005;159(5):477–481. doi: 10.1001/archpedi.159.5.477. [DOI] [PubMed] [Google Scholar]
- 162.Lui GK, Rogers IS, Ding VY, et al. Risk Estimates for Atherosclerotic Cardiovascular Disease in Adults With Congenital Heart Disease. The American journal of cardiology. 2017;119(1):112–118. doi: 10.1016/j.amjcard.2016.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Maskatia S, Spinner J, Nutting A, Slesnick T, Krishnamurthy R, Morris S. Impact of obesity on ventricular size and function in children, adolescents and adults with Tetralogy of Fallot after initial repair. The American journal of cardiology. 2013;112(4):594–598. doi: 10.1016/j.amjcard.2013.04.030. [DOI] [PubMed] [Google Scholar]
- 164.Roche SL, Silversides C. Hypertension, obesity, and coronary artery disease in the survivors of congenital heart disease. The Canadian journal of cardiology. 2013;29(7):841–848. doi: 10.1016/j.cjca.2013.03.021. [DOI] [PubMed] [Google Scholar]
- 165.Madsen NL, Marino BS, Woo JG, et al. Congenital Heart Disease With and Without Cyanotic Potential and the Long-term Risk of Diabetes Mellitus: A Population-Based Follow-up Study. J Am Heart Assoc. 2016;5(7) doi: 10.1161/JAHA.115.003076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Deen JF, Krieger EV. Adults Are Not Just Enormous Children: Type 2 Diabetes Mellitus in Adults With Congenital Heart Disease. J Am Heart Assoc. 2016;5(7) doi: 10.1161/JAHA.116.003960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Deen JF, Krieger EV, Slee AE, et al. Metabolic Syndrome in Adults With Congenital Heart Disease. J Am Heart Assoc. 2016;5(2) doi: 10.1161/JAHA.114.001132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Kavey RE, Allada V, Daniels SR, et al. Cardiovascular risk reduction in high-risk pediatric patients: a scientific statement from the American Heart Association Expert Panel on Population and Prevention Science; the Councils on Cardiovascular Disease in the Young, Epidemiology and Prevention, Nutrition, Physical Activity and Metabolism, High Blood Pressure Research, Cardiovascular Nursing, and the Kidney in Heart Disease; and the Interdisciplinary Working Group on Quality of Care and Outcomes Research: endorsed by the American Academy of Pediatrics. Circulation. 2006;114(24):2710–2738. doi: 10.1161/CIRCULATIONAHA.106.179568. [DOI] [PubMed] [Google Scholar]
- 169.Voss C, Harris KC. Physical activity evaluation in children with congenital heart disease. Heart. 2017 doi: 10.1136/heartjnl-2017-311340. [DOI] [PubMed] [Google Scholar]
- 170.Daniels SR, Hassink SG, Committee On N The Role of the Pediatrician in Primary Prevention of Obesity. Pediatrics. 2015;136(1):e275–292. doi: 10.1542/peds.2015-1558. [DOI] [PubMed] [Google Scholar]
- 171.Barlow SE, Expert C. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–192. doi: 10.1542/peds.2007-2329C. [DOI] [PubMed] [Google Scholar]
- 172.Force USPST. Grossman DC, Bibbins-Domingo K, et al. Screening for Obesity in Children and Adolescents: US Preventive Services Task Force Recommendation Statement. JAMA : the journal of the American Medical Association. 2017;317(23):2417–2426. doi: 10.1001/jama.2017.6803. [DOI] [PubMed] [Google Scholar]
- 173.American Diabetes A. 2. Classification and Diagnosis of Diabetes. Diabetes care. 2017;40(Suppl 1):S11–S24. doi: 10.2337/dc17-S005. [DOI] [PubMed] [Google Scholar]
- 174.McMahan CA, Gidding SS, Viikari JS, et al. Association of Pathobiologic Determinants of Atherosclerosis in Youth risk score and 15-year change in risk score with carotid artery intima-media thickness in young adults (from the Cardiovascular Risk in Young Finns Study) The American journal of cardiology. 2007;100(7):1124–1129. doi: 10.1016/j.amjcard.2007.05.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Finegood DT, Merth TD, Rutter H. Implications of the foresight obesity system map for solutions to childhood obesity. Obesity (Silver Spring) 2010;18(Suppl 1):S13–16. doi: 10.1038/oby.2009.426. [DOI] [PubMed] [Google Scholar]
- 176.Utumatwishima JN, Chung ST, Bentley AR, Udahogora M, Sumner AE. Reversing the tide - diagnosis and prevention of T2DM in populations of African descent. Nat Rev Endocrinol. 2018;14(1):45–56. doi: 10.1038/nrendo.2017.127. [DOI] [PubMed] [Google Scholar]
- 177.Bleich SN, Vercammen KA, Zatz LY, Frelier JM, Ebbeling CB, Peeters A. Interventions to prevent global childhood overweight and obesity: a systematic review. The lancet Diabetes & endocrinology. 2017 doi: 10.1016/S2213-8587(17)30358-3. [DOI] [PubMed] [Google Scholar]
- 178.Danielsson P, Kowalski J, Ekblom O, Marcus C. Response of severely obese children and adolescents to behavioral treatment. Archives of pediatrics & adolescent medicine. 2012;166(12):1103–1108. doi: 10.1001/2013.jamapediatrics.319. [DOI] [PubMed] [Google Scholar]
- 179.Koves IH, Roth C. Genetic and Syndromic Causes of Obesity and its Management. Indian J Pediatr. 2017 doi: 10.1007/s12098-017-2502-2. [DOI] [PubMed] [Google Scholar]
- 180.DePaoli AM. 20 years of leptin: leptin in common obesity and associated disorders of metabolism. J Endocrinol. 2014;223(1):T71–81. doi: 10.1530/JOE-14-0258. [DOI] [PubMed] [Google Scholar]
- 181.Heymsfield SB, Avena NM, Baier L, et al. Hyperphagia: current concepts and future directions proceedings of the 2nd international conference on hyperphagia. Obesity (Silver Spring) 2014;22(Suppl 1):S1–S17. doi: 10.1002/oby.20646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Rajjo T, Almasri J, Al Nofal A, et al. The Association of Weight Loss and Cardiometabolic Outcomes in Obese Children: Systematic Review and Meta-regression. J Clin Endocrinol Metab. 2016;101(12):4764–4768. doi: 10.1210/jc.2016-2575. [DOI] [PubMed] [Google Scholar]
- 183.Rajjo T, Mohammed K, Alsawas M, et al. Treatment of Pediatric Obesity: An Umbrella Systematic Review. J Clin Endocrinol Metab. 2017;102(3):763–775. doi: 10.1210/jc.2016-2574. [DOI] [PubMed] [Google Scholar]
- 184.Savoye M, Caprio S, Dziura J, et al. Reversal of early abnormalities in glucose metabolism in obese youth: results of an intensive lifestyle randomized controlled trial. Diabetes care. 2014;37(2):317–324. doi: 10.2337/dc13-1571. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403. doi: 10.1056/NEJMoa012512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Sherafat-Kazemzadeh R, Yanovski SZ, Yanovski JA. Pharmacotherapy for childhood obesity: present and future prospects. Int J Obes (Lond) 2013;37(1):1–15. doi: 10.1038/ijo.2012.144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Mead E, Atkinson G, Richter B, et al. Drug interventions for the treatment of obesity in children and adolescents. The Cochrane database of systematic reviews. 2016;11:CD012436. doi: 10.1002/14651858.CD012436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Inge TH, Jenkins TM, Xanthakos SA, et al. Long-term outcomes of bariatric surgery in adolescents with severe obesity (FABS-5+): a prospective follow-up analysis. The lancet Diabetes & endocrinology. 2017;5(3):165–173. doi: 10.1016/S2213-8587(16)30315-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Ozkan B, Bereket A, Turan S, Keskin S. Addition of orlistat to conventional treatment in adolescents with severe obesity. Eur J Pediatr. 2004;163(12):738–741. doi: 10.1007/s00431-004-1534-6. [DOI] [PubMed] [Google Scholar]
- 190.Chanoine JP, Hampl S, Jensen C, Boldrin M, Hauptman J. Effect of orlistat on weight and body composition in obese adolescents: a randomized controlled trial. JAMA : the journal of the American Medical Association. 2005;293(23):2873–2883. doi: 10.1001/jama.293.23.2873. [DOI] [PubMed] [Google Scholar]
- 191.Yu CC, Li AM, Chan KO, et al. Orlistat improves endothelial function in obese adolescents: a randomised trial. Journal of paediatrics and child health. 2013;49(11):969–975. doi: 10.1111/jpc.12252. [DOI] [PubMed] [Google Scholar]
- 192.Mechanick JI, Youdim A, Jones DB, et al. Clinical practice guidelines for the perioperative nutritional, metabolic, and nonsurgical support of the bariatric surgery patient–2013 update: cosponsored by American Association of Clinical Endocrinologists, The Obesity Society, and American Society for Metabolic & Bariatric Surgery. Obesity (Silver Spring) 2013;21(Suppl 1):S1–27. doi: 10.1002/oby.20461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Jenkins TM, Boyce TW, Ralph Buncher C, et al. Accuracy of Self-Reported Weight Among Adolescent and Young Adults Following Bariatric Surgery. Obes Surg. 2017;27(6):1529–1532. doi: 10.1007/s11695-016-2514-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Nehus EJ, Khoury JC, Inge TH, et al. Kidney outcomes three years after bariatric surgery in severely obese adolescents. Kidney international. 2017;91(2):451–458. doi: 10.1016/j.kint.2016.09.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Amin R, Simakajornboon N, Szczesniak R, Inge T. Early improvement in obstructive sleep apnea and increase in orexin levels after bariatric surgery in adolescents and young adults. Surg Obes Relat Dis. 2017;13(1):95–100. doi: 10.1016/j.soard.2016.05.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Shah AS, Jenkins T, Gao Z, et al. Lipid changes 8 years post gastric bypass in adolescents with severe obesity (FABS-5+ study) Int J Obes (Lond) 2017;41(10):1579–1584. doi: 10.1038/ijo.2017.141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Inge TH, Courcoulas AP, Jenkins TM, et al. Weight Loss and Health Status 3 Years after Bariatric Surgery in Adolescents. N Engl J Med. 2016;374(2):113–123. doi: 10.1056/NEJMoa1506699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Mechanick JI, Youdim A, Jones DB, et al. Clinical practice guidelines for the perioperative nutritional, metabolic, and nonsurgical support of the bariatric surgery patient–2013 update: cosponsored by American Association of Clinical Endocrinologists, the Obesity Society, and American Society for Metabolic & Bariatric Surgery. Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists. 2013;19(2):337–372. doi: 10.4158/EP12437.GL. [DOI] [PMC free article] [PubMed] [Google Scholar]