Decreased quality of life associated with obesity in school-aged children

OBJECTIVES: To examine the association between health-related quality of life and body mass index (BMI) in preadolescent school-aged children and to provide the possible risk factors among participant characteristics, BMI status, and health-related quality of life.Design, Setting, and PARTICIPANTS: Cross-sectional analysis of 371 (50% female; 32% minority) children from a community-based sample of 8- to 11-year-olds participating in an ongoing cohort study, excluding those who had sleep apnea or who were born prematurely. Using BMI percentiles for age and sex, 17.5% of the children were considered overweight (BMI > or =95th percentile), 12.4% were at risk for overweight (BMI 85th-94th percentile), 8.1% were relatively underweight (BMI <20th percentile), and the remaining 62.0% were of normal weight (BMI 20th-84th percentile). MAIN OUTCOME MEASURES: Health-related quality-of-life scores as determined by the Child Health Questionnaire-Parent Form 50, dichotomized into the bottom quartile or decile. RESULTS: After adjustment for covariates (host factors and health status measurements), overweight children compared with normal weight children scored lower on the Psychosocial Health Summary (odds ratio [OR], 2.0; 95% confidence interval [CI], 1.1-3.6) and on subscales measuring self-esteem (OR, 3.5; 95% CI, 1.9-6.3), physical functioning (OR, 2.8; 95% CI, 1.7-6.8), and effect on the parent's emotional well-being (OR, 2.0; 95% CI, 1.1-3.6). Compared with the normal weight group, children who are at risk for overweight scored significantly lower for physical functioning. CONCLUSION: Overweight children have an increased odds of low scores for several health-related quality-of-life domains, suggesting the importance in considering such dimensions in programs aimed at further understanding obesity in children.     

Body mass index measurements and prevalence of overweight and obesity in school-children living in the province of Belgian Limburg

In order to evaluate the distribution of body mass index (BMI) and the prevalence of overweight and obesity in school-children living in the province of Belgian Limburg, BMI percentiles for 9,487 children aged 3.2 to 16.0 years were calculated and compared with the Dutch 1980 values. Although the 5th and 50th percentile BMI values were comparable to or only slightly above the reference values, the 85th and 95th percentiles were much higher revealing an increased degree of obesity in the studied population. The prevalence of overweight and obesity, determined by calculating the proportion of children with a BMI value above the 85th or 95th percentile of the Dutch 1980 reference, ranged for overweight from 15% at the age of 3-4 years to 33% at the age of 12-13 years, and for obesity from 6% to 19%. CONCLUSION: this study shows a dramatic increase in upper body mass index percentiles and in the prevalence of overweight and obesity in children living in the province of Belgian Limburg. Strategies to prevent obesity in childhood should be a priority in child public health programmes.     

Overweight and obesity in 6- to 14-year-old Czech children in 1991: protective effect of breast-feeding

OBJECTIVE: To assess the impact of breast-feeding on childhood overweight/obesity in an Eastern European socialist society with relatively homogeneous lifestyles. STUDY DESIGN: Cross-sectional survey data collected in 1991 on 33,768 school-children aged 6 to 14 years in the Czech Republic were analyzed by using multiple logistic regression analyses (main outcome body mass index [BMI] >90th percentile [overweight] and BMI >97th percentile [obesity]). RESULTS: Overall prevalence of overweight (obesity) was lower in breast-fed children: ever breast-fed (9.3%; 95% CI, 8.9-9.6 [3.2%; 95% CI, 3.0-3.4]) compared with never breast-fed (12.4%; 95% CI, 11.3-13.6 [4.4%; 95% CI, 3.7-5.2]). The effect of breast-feeding on overweight/obesity did not diminish with age in children 6 to 14 years old and could not be explained by parental education, parental obesity, maternal smoking, high birth weight, watching television, number of siblings, and physical activity. Adjusted odds ratios for breast-feeding were for overweight 0.80 (95% CI, 0.71-0.90) and for obesity 0.80 (95% CI, 0.66-0.96). CONCLUSIONS: A reduced prevalence of overweight/obesity was associated with breast-feeding in a setting where socioeconomic status was homogeneous. This suggests that the effect of breast-feeding on the prevalence of obesity is not confounded by socioeconomic status.     

Changes in body mass index in 11-12-year-old children in Hawkes Bay, New Zealand (1989-2000)

OBJECTIVE: To describe and compare the body mass index (BMI; weight/height2) profile of 11-12-year-old children in Hawkes Bay, New Zealand in 1989 and 2000. To subsequently determine the prevalence of overweight and obesity at the two time points using international definitions. METHODOLOGY: As part of asthma prevalence studies in Hawkes Bay data on height, weight and ethnicity were collected from 871 school children in 1989, and 894 children in 2000 who reached 12 years of age during the year of testing. RESULTS: In the total study population the geometric mean BMI increased from 18.1 kg/m2 (95% CI 17.9; 18.3) in 1989 to 19.8 kg/m2 (95% CI 19.6; 20.0) in 2000, a relative increase of 9.2% (95% CI 7.6; 10.9), P < 0.001. Significant relative increases were found for males (9.0%: 95% CI 6.8; 11.3), females (9.3%: 95% CI 6.8; 11.8), Maori (7.6%: 95% CI 4.3; 11.1), European (9.1%: 95% CI 7.3; 11.0) and Pacific Island children (11.0%: 95% CI 2.2; 20.5). In 2000 20.9% of Hawkes Bay children were classified as overweight and 9.1% as obese. The risk of being overweight in 2000 was 2.2 times greater than the risk in 1989, and the risk of being obese was 3.8 times greater, with these problems more pronounced among Maori (overweight 24.7%, obese 15.3%) and Pacific Island (overweight 35.0%, obese 15.0%) than European (overweight: 18.2%, obese 5.7%) children. However, the risk of being overweight (RR = 3.0, 95% CI 2.2-4.0) or obese (RR = 8.3, 95% CI 3.0-23.3) in 2000 compared to 1989 was greater among European children. CONCLUSION: Higher percentages of Maori and Pacific Island children are overweight or obese compared to European, but in all ethnic groups there has been a statistically significant increase in mean BMI over an 11-year period. This increase reflects the trend observed in other developed countries and underlines childhood obesity as a major health problem in New Zealand.     

Association between school children's overweight and maternal obesity and perception of their children's weight status

AIM: To determine the association between overweight children and a) other components of the mothers' metabolic syndrome, such as body mass index (BMI), waist circumference (WC), HDL-cholesterol, triglycerides, glucose, HOMA-IR, blood pressure (BP), and age; and b) the mothers' perception of their children's overweight. METHODS: Six hundred and twenty children (297 M) aged 9 +/- 2 years and their mothers aged 37.7 +/- 7 years were examined between April and August 2006. BMI, BP, fasting glucose and lipids and children's Tanner stage were determined. Questionnaires were filled in about the mothers' perceptions of their children's eating habits and of their children's shape. RESULTS: Ninety-five (17.4%) of the children were obese (> 95th percentile), 108 (15.3%) overweight (> 85th percentile) and 418 (67.3%) normal. One hundred and twelve (18%) of the mothers were obese and 183 (29.5%) overweight. Mean values for measures in mothers differed between normal vs overweight/obese children: z-BMI (-0.19 vs 0.42), triglycerides (84 vs 105 mg/dl), cholesterol (147 vs 157 mg/dl), glucose (78 vs 82 mg/dl) and insulin resistance (HOMA-IR 1.34 vs 1.72). There were significant differences in the proportion with distorted perception of shape (2.2% vs 47.5%) and eating habits (11.2% vs 37%) between mothers of normal versus overweight/ obese children. Logistic regression analysis using BMI > or = 85th percentile as the dependent variable showed that the mothers' perceptions of their children's shape (OR: 18.84; 95% CI: 5.0-69.6), eating habits (OR: 3.82; 95% CI: 1.5-9.5) and mothers' BMI (OR: 2.1; 95% CI: 1.3-3.4) were associated with children's overweight. CONCLUSIONS: There was an association between mothers' distorted perception of their children's shape and eating habits and mothers' obesity and their children's overweight. This observation provides clues for obesity prevention programs.     

Associations Between Obesity and Comorbid Mental Health,Developmental, and Physical Health Conditions in a Nationally Representative Sample of US Children Aged 10 to 17

ObjectiveThis large population-based study of US children considered the association of obesity with a broad range of comorbidities. This study examined relationships between weight status and health for US children.MethodsWe performed cross-sectional analysis of data on 43,297 children aged 10 to 17 from the 2007 National Survey of Children’s Health. Weight status was calculated from parent report of child height and weight. Logistic regression models assessed associations between weight status and 21 indicators of general health, psychosocial functioning, and specific health disorders, adjusting for sociodemographic factors.ResultsUsing body mass index (BMI) percentiles for age and sex, 15% of US children were considered overweight (BMI 85th to <95th percentile), and 16% were obese (BMI ≥95th percentile). Compared with children classified as not overweight, obese children were more likely to have reported good/fair/poor health (adjusted odds ratio [AOR] 2.18, 95% confidence interval [CI] 1.76–2.69), activity restrictions (AOR 1.39, 95% CI 1.10–1.75), internalizing problems (AOR 1.59, 95% CI 1.04–2.45), externalizing problems (AOR 1.33, 95% CI 1.07–1.65), grade repetition (AOR 1.57, 95% CI 1.24–1.99), school problems, and missed school days. Attention deficit/hyperactivity disorder, conduct disorder, depression, learning disability, developmental delay, bone/joint/muscle problems, asthma, allergies, headaches, and ear infections were all more common in obese children.ConclusionsObese children have increased odds of worse reported general health, psychosocial functioning, and specific health disorders. Physicians, parents, and teachers should be informed of the specific comorbidities associated with childhood obesity to target interventions that could enhance well-being. Future research should examine additional comorbidities and seek to confirm associations using longitudinal data and clinical measures of height and weight.     

Prevalence of overweight in children with developmental disorders in the continuous national health and nutrition examination survey (NHANES) 1999-2002

OBJECTIVE: To estimate the prevalence of overweight in children identified with developmental disorders on the basis of nationally representative survey data. STUDY DESIGN: We estimated the prevalence of overweight in children with developmental disorders on the basis of a recent large nationally representative survey. The continuous National Health and Nutrition Examination Survey (NHANES) 1999-2002 included 4 questions to identify children with developmental disorders. Height and weight were used to calculate body mass index (BMI). BMI percentiles were estimated relative to the age- and sex-specific Centers for Disease Control and Prevention growth reference. The 85th percentile BMI defined at-risk-for-overweight and the 95th percentile BMI defined overweight. RESULTS: We found a higher prevalence of at-risk-for overweight and overweight among children with limitations in physical activity and a higher prevalence of overweight in girls with learning disabilities, compared with children without these conditions, after adjustment for age and race-ethnicity. CONCLUSION: To the extent that children with developmental disorders are included in large representative surveys, the data suggest that children with developmental disorders have a risk for overweight that is at least as great as that of typically developing children.     

Association of body mass index with COVID-19 outcome in a pediatric tertiary referral hospital in Iran

BackgroundOne of the challenging risk factors for severe COVID-19 infection is obesity and high body mass index (BMI). In this study we assessed the association between BMI and outcomes of hospitalized pediatric patients with COVID-19 in Iran.MethodThis retrospective cross-sectional study was performed in the biggest referral pediatric hospital in Tehran from March 7 to August 17, 2020. All hospitalized children ≺18 years of age with laboratory-confirmed COVID-19 were included in the study. We evaluated the association of BMI with COVID-19 outcomes (death, severity of clinical course, oxygen therapy, intensive care unit [ICU] admission, ventilator requirement). The secondary objectives were investigating the association of gender, underlying comorbidity, and patient age with COVID-19 outcomes. The limits for obesity, overweight, and underweight were set at BMI >95 percentile, 85≤ BMI ≤ 95, and BMI<5 percentile, respectively.ResultsIn total, 189 confirmed pediatric cases of COVID-19 (0.1–17 years) with a mean age of 6.4 ± 4.7 years were included. Overall, 18.5% of the patients were obese and 33% were underweight. We found that BMI had no significant relation with COVID outcomes in pediatric cases but after subgrouping the participants, underlying comorbidities and lower BMI in previously ill children were independently associated with a poor clinical outcome of COVID-19. In addition, the previously ill children with higher BMI percentiles were at a relatively lower risk of ICU admission (95% CI: 0.971–0.998, OR: 0.98, p = 0.025) and better clinical course of COVID-19 (95% CI: 0.970–0.996, OR: 0.98, p = 0.009). The BMI percentile had a statistically significant direct relationship with age (Spearman correlation coefficient= 0.26, p<0.001). When we separated the children with underlying comorbidity, the BMI percentile was significantly lower (p<0.001) in comparison to the previously healthy children.ConclusionBased on our results, obesity is not related to COVID-19 outcomes in pediatric patients, but after controlling for confounding effects, underweight in children with underlying comorbidities was more likely to be associated with a poor prognosis of COVID-19.     

Do mothers of overweight Argentinean preschool children perceive them as such?

Childhood overweight is rapidly on the rise and underlies the younger presentation of diabetes. The aim of this study was to determine the association between overweight and age, sex, and the perception of the overweight children by their mothers. Three hundred and twenty-one (160 males) children (mean age 4.39 +/- SD 0.83 yr) [body mass index (BMI) 16.6 +/- 2.11] from schools at the kindergarten level were evaluated. Data on age, sex, weight, and height were recorded. At risk for overweight and overweight were defined as a BMI of > or = 85th or > or = 95th percentile, respectively. Written questionnaires for mothers' perceptions about their children's eating habits (a lot, right, little, or very little) and shape (very fat, fat, normal, and thin) were performed. The prevalence of at risk of overweight and overweight was 19 and 18.4%, respectively. There was a significant difference in the proportion of distorted perception of shape between mothers of normal-weight children vs. those of at risk of overweight and overweight children (17 vs. 87.5%, p < 0.001). Seventy-six and 98% of mothers of overweight and at risk of overweight children, respectively, rated them as normal or thin. Mothers exhibited poor overall ability to estimate the way at risk of overweight and overweight children ate. There was a significant difference in the proportion of distorted perception of eating habits between mothers of normal-weight children vs. those of at risk of overweight and overweight children (36.3 vs. 90.8%, p < 0.001). Eighty-four and 96% of mothers of obese and overweight children, respectively, thought that their children ate right or little. A multiple regression analysis using BMI > 95th percentile as the dependent variable showed that the mothers' perceptions of shape and eating habits [odds ratio 4.5; 95% confidence interval (CI) 2.5-7.8; p < 0.0001] were both significant independent risk factors for overweight, adjusted for age and sex. The agreement between the perception of shape and eating habits vs. the medical records BMI > 95th percentile was poor; for shape: kappa 0.31 + 0.07; 95% CI 0.17-0.44, and for nutrition: 0.14 + 0.06; 95% CI 0.02-0.27. This suggests that the mothers' perceptions of shape and eating behavior is a predictor of obesity and could be used in clinical practice as a simple tool to identify children at high risk for overweight.     

Duration of television watching is associated with increased body mass index

OBJECTIVE: To assess the effect of television viewing on subsequent change in body mass index (BMI=kg/m(2)) percentiles (BMI%) in adolescence. STUDY DESIGN: Data were drawn from the California Teen Longitudinal Survey of adolescents 12 to 17 years old with baseline assessment in 1993 and follow-up in 1996. Self-reported height and weight were used to calculate BMI and derive age-specific and sex-specific BMI%. Hours of television watched per day were obtained at baseline (BTV). The relations of BTV and BMI percentiles both at baseline and after 3 years were assessed with linear regression modeling. RESULTS: Of 2223 adolescents (52% male, 68% white), 5.85% (n=130) were overweight (BMI > or =95th percentile) at baseline and 5.40% (n=120) at follow-up. Mean BTV was 2.85 (SD, 1.98). In adjusted models, with each additional hour of BTV, the baseline BMI% increased by.9, and the follow-up BMI% increased by.47. Adolescents who watched more than 2 hours of television a day were twice as likely to be overweight at follow-up as adolescents who watched < or =2 hours. CONCLUSIONS: Television viewing leads to a subsequent increase in BMI percentiles and overweight. Efforts to decrease overweight should consider interventions to reduce television time.     

Parental obesity and higher pre-intervention BMI reduce the likelihood of a multidisciplinary childhood obesity program to succeed--a clinical observation

OBJECTIVE: To assess the effects and identify factors associated with success of a combined, structured multidisciplinary weight management program in obese children and adolescents. METHODS: Seventy-seven obese children (age 6-16 years) participated in a 12-month combined dietary-behavioral-exercise intervention. Thirty-seven (age and maturity comparable) obese children who did not participate in the structured program served as controls. Body weight, BMI, and BMI percentiles were measured at baseline, after 6 months, and at the end of the intervention. RESULTS: The combined intervention was associated with a significant decrease in BMI (from 25.9+/-0.4 to 24.5+/-0.4 kg/m2, p <0.0005) and BMI percentile (from 97.3+/-0.2% to 92.6+/-0.9%, p <0.0005). In contrast, obese children who did not participate in the structured program gained weight (from 51.4+/-3.6 to 57.7+/-3.7 kg, p <0.0005), increased their BMI (from 25.2+/-1.0 to 26.6+/-0.9 kg/m2, p <0.0005), and had a non-significant increase in BMI percentiles (from 94.9+/-0.8% to 95.4+/-0.9%, NS). Children with higher BMI percentiles and parental overweight tended to respond less favorably to the combined multidisciplinary program (p <0.01). CONCLUSIONS: A prolonged (12 mo), combined, structured multidisciplinary intervention for childhood obesity resulted in a significant decrease in BMI and BMI percentiles. Higher pre-intervention BMI percentiles and parental obesity were associated with less favorable responses to the combined intervention.     

High body mass index, asthma and allergy in Swedish schoolchildren participating in the International Study of Asthma and Allergies in Childhood: Phase II

AIM: To assess the relationship between high body mass index (BMI) and asthma and atopic manifestations in 12-y-old children. METHODS: The relationship between high BMI and asthma symptoms was studied in 457 sixth-grade children, with (n = 161) and without (n = 296) current wheeze. High BMI was defined as > or = 75th percentile of gender-specific BMI reference values for Swedish children at 12 y of age; overweight as a subgroup of high BMI was defined as > or = 95th percentile. Children with a BMI < 75th percentile served as controls. Questionnaires were used to assess asthmatic and allergic symptoms, and bronchial hyperresponsiveness was assessed by hypertonic saline provocation tests. RESULTS: Current wheeze was associated with high BMI after adjustment for confounding factors (adjusted OR 1.7, 95% CI 1.0-2.5) and overweight had an even more pronounced effect (adjusted OR 1.9, 95% CI 1.0-3.6). In addition, asthma severity was associated with high BMI, as evaluated by the number of wheezing episodes during the previous 12 mo among the wheezing children (adjusted OR 2.0, 95% CI 1.0-4.0). There was also an association between high BMI and the presence of eczema in wheezing children (adjusted OR 2.2, 95% CI 1.0-4.6). However, high BMI was not significantly associated with hay fever, positive skin prick tests or bronchial hyperresponsiveness. CONCLUSION: The study confirms and extends a previously observed relationship between BMI and the presence of wheezing and asthma.     

Risk factors in childhood obesity-findings from the All Babies In Southeast Sweden (ABIS) cohort

AIM: Our objective was to investigate whether overweight at a very young age predicts overweight at 5 years and to identify risk factors for overweight/obesity at 5 years, thereby making it easier for Child Health Services to focus their prevention strategies on risk groups. METHODS: We analysed data from the ABIS study (All Babies In Southeast Sweden), a prospective cohort study. Parents answered questionnaires between childbirth (n = 16,058) and 5 years (n = 7356). RESULTS: High body mass index (BMI; >95th percentile) at 1 year (adjusted odds ratio [AOR]= 6.57; 95% CI = 4.63-9.33; p < 0.001) and age-adjusted BMI > 25 at 2.5 years (AOR = 14.24; 95% CI = 10.52-19.29; p < 0.001) were associated with increased risk of obesity (age-adjusted BMI > 30) at 5 years. Heredity for type 2 diabetes (p = 0.022), high parental BMI and the child's own BMI at birth and at 1 year predicted higher BMI of the child at 5 years (p < 0.001). High parental education was inversely associated with child overweight (p = 0.054 respective p < 0.005). CONCLUSION: Obesity at age 1 and at 2.5 years predicts obesity at 5 years. Obese parents, especially in families with heredity for type 2 diabetes and low education, should be targeted in early obesity prevention strategies by the Child Health Service.     

Physical activity and body mass index among US adolescents: youth risk behavior survey, 1999

OBJECTIVE: To investigate associations of underweight and overweight with physical activity among high school students in the United States. METHODS: A nationally representative sample of 15 349 US high school students participated in the 1999 Youth Risk Behavior Survey; 13 295 were included in these analyses. Five measures of physical activity were examined as dichotomous variables: (1) vigorous-intensity physical activity (>/=3 vs <3 sessions lasting at least 20 minutes each per week); (2) moderate-intensity physical activity (>/=5 vs <5 sessions lasting at least 30 minutes each per week); (3) strength training (>/=3 vs <3 sessions per week); (4) enrollment in physical education (yes or no); and (5) sports participation (yes or no). Using body mass indexes, students were categorized by percentiles as underweight (5th to 15th to <85th percentiles), at risk for overweight (>/=85th to <95th percentiles), or overweight (>/=95th percentile). Potential associations between physical activity and body mass index were examined using logistic regression. RESULTS: On several measures, adolescent boys who were underweight or overweight were less likely to be physically active than boys of normal weight (eg, odds ratio [OR], 0.23; 95% confidence interval [CI], 0.12-0.45; and OR, 0.75; 95% CI, 0.61-0.93; for boys who were underweight and overweight, respectively, for strength training). Adolescent girls who were overweight or at risk for overweight were less likely (OR, 0.62; 95% CI, 0.50-0.78; and OR, 0.63; 95% CI, 0.46-0.85; respectively) to be involved with sports than girls of normal weight; and girls who were underweight were less likely (OR, 0.44; 95% CI, 0.22-0.91) to be enrolled in physical education. CONCLUSIONS: Weight status among high school students is correlated with selected physical activity behavior, especially among adolescent boys. Interventions to increase physical activity for high school students should target adolescents of all shapes and sizes, and may best be achieved by school policies requiring physical education or after-school sports.     

Can the metabolic syndrome identify children with insulin resistance?

OBJECTIVE: The metabolic syndrome is associated with insulin resistance in adults. We defined pediatric metabolic syndrome using criteria analogous to Adult Treatment Panel III. The purpose of this study was to determine whether these criteria are reliable for insulin resistance in children. RESEARCH DESIGN AND METHODS: Out of 167 children (6.7 +/- 3 yr), 73 overweight [body mass index (BMI) > 95 percentile], 41 at risk of overweight (BMI > 85 < 95 percentile), and 53 normal-weight (BMI < 85 percentile) children matched for sex and age were examined. The results for waist circumference, blood pressure, oral glucose tolerance test, C-reactive protein, adiponectin, insulin, and lipids were obtained. RESULTS: There was a comparable prevalence of the metabolic syndrome in both sexes. The prevalence of the metabolic syndrome was 11.3% [95% confidence interval (CI) 6.56-16.19%] among the whole group and 21.9% (95% CI 12.24-31.0%) among overweight children. Waist circumference >75 percentile 53.2% (95% CI 45.73-60.86%) and low high-density lipoprotein 27.5% (95% CI 20.77-34.32%) were common in this sample. Compared with patients without any component of the metabolic syndrome, homeostasis model assessment insulin resistance (HOMA-IR) for patients with one through four components was higher (beta = 0.6, 95% CI 0.4-0.7, p < 0.0001, R(2) = 0.185). A logistic regression analysis using the metabolic syndrome as the dependent variable showed that HOMA-IR (odds ratio 1.52, 95% CI 1.2-2.0, p = 0.007) was the only independent risk factor for the metabolic syndrome, adjusted for age and sex. CONCLUSIONS: The importance of insulin resistance in the metabolic syndrome is supported by the results of logistic regression analysis. Early identification of children may be useful to predict future cardiovascular disease and type 2 diabetes.     

Waist circumference and waist-to-height ratio in Norwegian children 4-18 years of age: reference values and cut-off levels

Aim: To establish reference values for waist circumference and waist‐to‐height ratio of Norwegian children. Material: Data were collected in 2003–2006 as part of a cross‐sectional study, including 5725 children 4–18 years of age. Reference curves were fitted with the LMS method; appropriate cut‐offs were selected using receiver operating characteristic analysis. Results: Reference values for waist circumference and waist‐to‐height ratio are presented. Mean waist circumference increased with age for both genders. Boys had a higher waist circumference at almost all ages. Mean waist‐to‐height ratio decreased until early adolescence and thereafter increased slightly towards adult age. There was a strong positive correlation between waist circumference and BMI (r = 0.907, p < 0.01) and a moderate positive correlation between waist‐to‐height ratio and BMI (r = 0.397 p < 0.01). A waist circumference cut‐off value of 1.0 SDS (85th percentile) gave a sensitivity of 79% and a specificity of 94% to detect overweight. A cut‐off value of 1.6 SDS (95th percentile) gave a sensitivity of 94% and a specificity of 96% to detect obesity. Conclusion: This study presents the first reference values of waist circumference and waist‐to‐height ratio for Norwegian children 4–18 years, which also represent the first reference in Scandinavian schoolchildren. The 85th and 95th percentiles of waist circumference are proposed as appropriate cut‐offs for central overweight and obesity.     

A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth

OBJECTIVE: Determine whether waist-to-height ratio (WHtR) or sex- and age-specific percentiles of body mass index (BMI) better identifies cardiovascular risk. STUDY DESIGN: The third National Health and Nutrition Examination Survey (NHANES III) provided measurements on 7657 participants statistically weighted to represent 50.05 million youth 4 to 17 years of age. We estimated the subpopulations corresponding to BMI strata that were normal (< 85th percentile), at risk for overweight (85th to <95th percentile), and overweight (> or =95th percentile). We chose WHtR cutoff points (0.490 and 0.539) so that subpopulation sizes in the three WHtR strata would equal those in the three BMI strata. For 13 cardiovascular risk factors we compared mean levels among youth discordant for their BMI and WHtR strata. RESULTS: 726 participants (representing 3.69 million youth) were identified as having WHtR stratum >BMI stratum. Compared with the 603 participants (representing 3.70 million youth) who were discordant in the opposite direction, weighted analyses showed they had higher mean levels of heart rate, low-density lipoprotein (LDL) cholesterol, fasting triglycerides, and total cholesterol ( P <.015, adjusted for sex, age, and race-ethnicity). Their mean systolic blood pressure was lower, but this difference was eliminated after adjustment for their shorter stature. CONCLUSION: WHtR, a simpler anthropometric index than sex- and age-specific BMI percentiles, better identifies youth with adverse cardiovascular risk factors.     

Association between peer relationship problems and childhood overweight/obesity

Aims:  To assess the association between peer relationship problems and childhood overweight and obesity.
Methods:  Data on 4718 preschool children were obtained at the obligatory school entry health examination in Bavaria. Parentally reported peer relationship problems ('normal', 'borderline' or 'abnormal') were assessed from the Strengths and Difficulties Questionnaire. Overweight and obesity were defined according to age- and gender-specific BMI cut-off points. Multivariate logistic regression analysis was performed to control potential confounders.
Results:  The prevalence of overweight and obesity was higher among children with 'borderline' or 'abnormal' peer relationship problems compared to 'normal' children. The association of 'abnormal' peer relationship problems was still significant in the final logistic regression model for girls [odds ratio (OR) for overweight 2.0; 95% confidence interval (CI): 1.4–3.0; OR for obesity 2.6; 95% CI: 1.3–5.0]. Among boys the adjusted odds ratio were lower and no longer significant.
Conclusion:  The significantly increased prevalence of overweight and obesity among preschool children with peer relationship problems could not be explained by confounding. It seems evident that there is a relevant co-morbidity of peer relationship problems and obesity in pre-school children pointing to the need of interventions focusing on both physical as well as psychosocial health.     

Metabolic syndrome in children and adolescents with acute lymphoblastic leukemia after the completion of chemotherapy

The metabolic syndrome is a cluster of potent risk factors for cardiovascular diseases. To provide information on the late complications of chemotherapy for acute lymphoblastic leukemia (ALL), the authors prospectively studied the frequency of overweight, obesity, and metabolic syndrome in survivors of ALL in the initial years after the completion of therapy. Children and adolescents were classified as having the metabolic syndrome if they met three or more of the following criteria: hypertriglyceridemia, low levels of high-density lipoprotein (HDL), high fasting glucose, obesity, and hypertension. Obesity was defined on the basis of Body Mass Index (BMI) (kg/m2) standard deviation scores or z-scores. Cutoff points for triglycerides and HDL were taken from equivalent pediatric percentiles with the cutoff points proposed by the Adult Treatment Panel III (ATPIII). Hyperglycemia was defined using the ATPIII cutoff points. Elevated systolic or diastolic blood pressure was defined as a value greater than the 95th percentile for age, gender, and height. Fifty-two subjects (29 male and 23 female) with a median age of 15.2 years (range 6.1-22.6 years) were evaluated. Median interval since completion of therapy was 37 months (range 13-121 months). All of them had been treated according to the ALL-BFM 90 chemotherapy protocol and none had received cranial radiotherapy. Of the 52 subjects, 25 (48%) were overweight (BMI z-score >1.5) and 3 (5.76%) were obese (BMI z-score >2); among them, 1 was severely obese (BMI z-score >2.5). Three criteria for the metabolic syndrome (high triglyceride levels, glucose intolerance, and obesity) were fulfilled by three subjects (5.76%). Twenty-nine subjects (55.7%) had at least one risk factor for metabolic syndrome. Hyperglycemia and hypertension were infrequent. Prompt recognition of the risk factors for metabolic syndrome and intervention seem mandatory to ensure early prevention of cardiovascular disease in survivors of ALL.     

Effects of physical activity on pediatric reference data for obesity.

PURPOSE: To examine the influence of physical activity on pediatric obesity reference data for Canada. METHODS: The sample included 3527 boys and 3554 girls, 6 to 18 years of age, from the 2004 Canadian Community Health Survey: Nutrition component. The heights and weights of the participants were directly measured, and the body mass index was calculated (BMI: kg/m(2)). Physical activity levels were reported using an interviewer-administered questionnaire. Participants were divided into low and high physical activity groups, based on age-specific physical activity levels (lower and upper quartiles). BMI percentiles (25th, 50th, 75th, 85th, 95th) were generated by sex using the LMS method, separately by physical activity groups. RESULTS: There were only minor differences in BMI at the 25th and 50th percentiles between physical activity groups in both boys and girls. However, in boys, the low active group had somewhat higher BMI values at the 85th and 95th percentiles than the high active group after the age of 10 years. In girls, the differences in BMI across groups was similar to that of boys at the 95th percentile, but inconsistent at the other percentiles. CONCLUSION: The results suggest that screening for physical activity may be important for the development of national reference data for obesity.