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I. SUMMARY OF THE PROBLEM Obesity is considered a global epidemic because its prevalence and severity in both adults and children is increasing worldwide at alarming rates (1–7). This increase has been related to an increasingly sedentary lifestyle with less physical activity as well as changing dietary habits, and it occurs not only in affluent countries, but also in developing countries and in countries in economic transition (6,8–11). One consequence is that overweight and obesity are becoming the most prevalent childhood nutritional disorders in many parts of the world. As a result, more children experience severe psychosocial burdens and health risks, and because most obese children grow into obese adults, this trend is expected to lead to huge economic costs to health and social security systems. This review explores the causes, risks, and current approaches to prevention and treatment of childhood obesity, and potential research directions are discussed. Body Mass Index (BMI) as a Measure for Overweight and Obesity Obesity is an excessive deposition of fat in the body that is associated with adverse consequences for metabolic parameters, and short- and long-term physical health, as well as with significant psychosocial problems (1). Body fat mass can be estimated from using anthropometry with determinations of skinfold thickness values, or using technical measures such as bioelectrical impedance or dual-energy X-ray scans (12). In primary pediatric practice, overweight and obesity have traditionally been defined based on the basis of an excessive body weight relative to height. In adult medicine and increasingly in pediatrics, the body mass index (BMI; weight [kg]/height [m]2) tends to be accepted as the standard measure for overweight and obesity, because it tends to correlate better with body fat mass than relative weight (3), and it is relatively easy to determine. In adults, the generally accepted, although somewhat arbitrary, cutoff points are a BMI > 25 as the criterion for overweight, and a BMI of > 30 for the definition of obesity (1). In children and adolescents, BMI distribution varies markedly with age and gender, and age- and gender-specific reference standards are required. Different BMI distributions have been reported for various childhood populations studied. Recently, a standard definition for overweight and obesity in children worldwide has been proposed based on BMI centile curves that pass through the adult cutoff points of 25 and 30, respectively, at the age of 18 years (13). Using this standard and other measures, research showed that the prevalence of obesity varies widely between different childhood populations and appears to be influenced by genetic variation, seasonal and environmental factors, as well as regional traditions and cultural habits (13–15). The BMI increases after birth until about 6 to 12 months of age, then decreases to a minimum in early childhood (usually at about 4 to 6 years). Thereafter, the BMI curves inflect and steadily increase and reach a plateau in young adulthood (13). The BMI rebound age, whicb is the age at when the BMI curve inflects, correlates closely with the risk of obesity in adulthood and is currently considered as the best predictor, during preschool age, of obesity risk in young adulthood (16,17). The use of BMI measures for clinical purposes still raises some questions. In clinical practice, the calculation of a BMI value and the comparison with age- and gender-specific reference values may require more time and effort than the conventional use of weight-for-height centiles. The advantage of using BMI in pediatric clinical practice to identify the population at risk has not been conclusively demonstrated, however (18). Also, it remains to be elucidated whether one and the same set of BMI reference values is adequate to define the metabolic and health risks associated with overweight and obesity in all children. Genetic and Other Biologic Factors Predisposing to Obesity In relatively few children, obesity develops as a secondary consequence of other disorders, such as hypothyroidism, human growth hormone deficiency, Cushing syndrome, and hypothalamic lesions caused by intracranial tumor, trauma, or infection. Pediatricians are well aware of genetic defects leading to syndromatic obesity, such as those found in patients with Laurence Moon Bardet Biedl syndrome, Prader Willi syndrome, trisomy 21, Wiedemann Beckwith syndrome, and others. Recently, other specific, monogenetic disorders have been identified that are rare causes of hyperphagia and obesity beginning in early childhood. Among these identified single-gene defects are mutations in the leptin gene (19), the leptin receptor gene (20), the prohormone convertase-I gene (21), the pro-opio-melanocortin gene (22), and the melanocortin-4-receptor gene (23). Moreover, mutations affecting the activity of the peroxisomal proliferator activated receptor γ (PPARγ), which regulates the differentiation of adipocytes, have been associated with an increased body fat mass (24). Syndromatic and monogenetic forms of obesity are not the only forms linked to genetic factors. In the general population, genetic factors play a role in the risk for development of obesity. In an investigation of 540 adults that had been adopted during childhood, no relationship between body weight centiles of adoptees and those of their adoptive parents was found. In contrast, the body weigth centiles of the adoptees did closely correlate with those of their biologic parents, from whom they had been separated since early childhood (25). To better understand the underlying pathophysiologic mechanisms, ongoing studies aim to identify genetic markers associated with obesity risk. Early Metabolic Imprinting In addition to genetic predisposition, metabolic programming (26) or metabolic imprinting (27) may also play a role in the risk of developing obesity: environmental factors that affect the organism during specific, critical periods of early development modulate the windows exogenous factors during early life appear to modulate the risk of obesity later. One study focused on a cohort study of 19-year-old men who had been exposed, in the prenatal or postnatal period, to the Dutch famine of 1944–45. Maternal exposure to famine during the last trimester of pregnancy and the first months of life was related to lower obesity prevalence rates, but exposure during the first half of pregnancy was associated with a higher obesity prevalence than in nonexposed controls (28). A later follow-up study of women and men aged 50 years, who were either exposed or not exposed to famine in late, mid, or early gestation, reported a higher BMI in exposed than in nonexposed women. However, there was no significant difference in men (29). Another study reported a higher risk of later obesity for children of Pima women with diabetes during pregnancy than for children of mothers who did not suffer from gestational diabetes. This difference persisted after correction for other influencing factors (30). These findings suggest that metabolic perturbations of regulatory systems established in early gestation contribute to the development of obesity in later life. Postnatal feeding also appears to modulate the later risk of overweight and obesity. In a cross-sectional survey of 9,357 children entering school, BMI measurements were related to early feeding, diet, and lifestyle factors (31). The prevalence of obesity in children who had never been breast-fed was 1.6-fold higher than in previously breast-fed children. A clear dose–response effect of the duration of breast-feeding on the prevalence of later obesity emerged from this study. The protective effect of breast-feeding was not attributable to differences in social class or lifestyle. After adjustment for potential confounding factors, the study found that breast-feeding remained a protective factor against the development of overweight and obesity. Thus, in industrialized countries, promoting prolonged breast-feeding may help decrease the prevalence of obesity in childhood. The potential underlying mechanisms of this phenomenon remain to be elucidated. Together, these findings indicate that, in addition to genetic disposition, environmental factors strongly influence the risk of obesity development. Current Lifestyle, Energy Balance, and Obesity Risk Obesity is the consequence of an overall positive energy balance maintained over time, that is, the metabolizable energy intake exceeds the energy expenditure for basal metabolic requirements, thermoregulation, thermogenetic effects of feeding, physical activity, and growth (32). Several studies related basal energy expenditure to the metabolically active lean body mass and found no basal energy expenditure difference between obese children and children of normal weight (33–35). However, meal-induced thermogenesis may be slightly smaller in obese than in normal weight children (36,37). Thus, the major determinants of obesity development are energy expenditure induced by physical activity and energy intake from foods. Physical Activity The degree of a person's physical activity markedly affects total energy expenditure and thus energy balance. Low physical activity levels are associated with obesity in children and adolescents and may be both cause and consequence of overweight (38–40). In addition to the direct effect of increasing energy expenditure, high physical activity also enhances muscle mass and thereby resting energy expenditure and muscular fat oxidation (41,42). The physical activity level of children is related to socioeconomic status and living conditions, peer pressure, and the degree of physical activity of their parents (43–45). As a consequence of an increasingly sedentary lifestyle, the level of physical activity of children and adolescents has declined in some countries during the past few decades (46–48). In some studies, the obesity risk of a child has been correlated to time spent viewing television, that is, times with a low level of physical activity and low energy expenditure (49–51). The apparent influence of such times on obesity risk might reflect combined effects of physical inactivity, snacking behavior, and specific personality and socioeconomic factors. Diet and Obesity Risk Dietary habits and food preferences, caloric content of the diet, and nutrient composition all appear to modulate the risk of obesity development. Dietary habits of children and adolescents are influenced by parents and other household members, peers, advertisements and media, the social context of eating, and possibly early feeding experience in infancy and genetic variation in taste preferences. However, the complexity of factors that influence food and feeding choices in children and adolescents is not well understood (52,53). Theoretically, a relatively small excess of energy supplied would suffice to induce obesity, if maintained over a long period. The caloric content of 1 kg of body fat tissue is approximately 7,500 kcal (1.79 MJ) (whereas 1 kg fat equals 9,000 kcal). Thus, the deposition of 1 kg of additional adipose tissue over a period of 1 year would only require an average maintained energy excess of no more than 20.5 kcal/day or 2.3 g fat/day. In practice, however, the relationship is more complex because adaptive physiologic mechanisms on energy expenditure and feeding behavior modulate the effects of energy imbalances (54). Because total energy intake is related to the energy density of the diet (55), diets with a high energy density (high energy content per food portion) are associated with a greater body fat deposition (53,56–60). The energy density of foods tends to correlate positively with fat contents and inversely with contents of complex carbohydrates, dietary fiber, and water. Moreover, each of the three major macronutrients proteins, carbohydrates, and fats has different effects on body weight gain. The body stores only limited amounts of excess proteins and carbohydrates, and high intakes of proteins and carbohydrates induce an enhanced oxidation of these two substrates (61). Only a small amount of carbohydrates is converted to fats in humans (62). Although human tissues have the general ability to synthesize fats from carbohydrates, net fat synthesis occurs only under extreme conditions after prolonged supplies of very high carbohydrate intake (63). However, the consumption of carbohydrates together with fats in excess of energy requirements can markedly influence body fat content because carbohydrates supplied in appreciable amounts suppress fat oxidation and thereby further enhance body fat deposition (64). In contrast to carbohydrates and proteins, fats can be stored in the body in almost unlimited amounts, and an enhanced fat intake does not induce fat oxidation (61). Fat consumption induces very little thermogenetic effects compared with carbohydrates and proteins (65). Furthermore, at the same caloric intake, dietary fat has less satiating effects than protein or carbohydrates (66). Dietary fats also tend to carry flavors and have positive effects on mouthfeel as well as other organoleptic properties. These considerations may explain why obese children tend to consume a higher proportion of dietary energy as fat than children with normal weight (67). In adolescents, body fat content is positively related to dietary fat intake but inversely to dietary carbohydrate intake (both expressed as percentage of energy intake) (68). In conclusion, the percentage content of fat in the diet and the ratio of fat to the other macronutrients appear to be relevant modulators of body fat deposition. In addition to the quantity, the quality of dietary fats also may be of relevance for obesity development, because fatty acids of different chain lengths and degree of unsaturation vary with respect to their oxidation (69,70). Studies in animals suggest that conjugated linoleic acids (CLA), which originate from ruminant fats, may inhibit fat deposition (71,72), but there is no conclusive evidence of similar effects in humans. It has also been proposed that dietary protein intake may modulate body fat content. The percentage of body fat in rats increases if they consume an increasing proportion of protein (73). A high protein intake in excess of metabolic requirements may enhance the secretion of insulin and insulin-like growth factor 1 (IGF-1), which can stimulate adipogenic activity and adipocyte differentiation (74). In observational studies, the BMI rebound age and later BMI has been correlated to protein intake during early childhood (75), but such a relationship has not been confirmed in another prospective cohort study (76,77). More studies are required to further elucidate the potential role of protein intake. Other Causative Factors The contributions of psychosocial, socioeconomic, and behavioral factors to the development of obesity are complex and only partly understood at present, and considerable differences exist between different populations. In some but not all studies in affluent countries, low socioeconomic status is associated with higher rates of childhood obesity (31,78–80). Variables associated with low socioeconomic status, such as poor housing conditions, were also significantly related to obesity risk, even after the studies were corrected for parental education and job level (81). Consequences of Obesity in Childhood and Adolescence Childhood obesity has short- and medium-term medical and psychosocial consequences in childhood and adolescence, as well as long-term effects that extend well into adulthood (80). Obese children often experience psychosocial distress and, in many cultures, considerable discrimination. Obese adolescents are at a clear disadvantage with respect to completion of advanced education, household income achieved in adulthood, and rates of marriage (82,83). Longitudinal growth is enhanced in overweight and obese children, and they experience earlier maturation and advanced bone ages (84). The resulting above average height, together with other aspects of different body appearance, such as pseudohypogenitalism in boys, may have pronounced psychological consequences and affect self-esteem (85). 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Published in: Journal of Pediatric Gastroenterology and Nutrition
Volume 35, pp. S205-S212