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This study compared the effects of a real-world multidisciplinary intervention with additional exercise or nutritional elements and investigated the effectiveness of a booster intervention after weight regain. A total of 242 children and adolescents (age- and sex-specific body mass index [BMI] ≥ 85th percentile, mean age: 10.82 years, 60% male) were allocated to three groups: usual care, exercise, or nutrition. Six-month active treatment with 1:1 session and a maintenance stage with group activities were repeated twice to comprise a 24-month intervention. The primary outcome was change % of the BMI z-score (zBMI). A total of 110 (45.4%) participants completed the 24-month intervention. A mixed-effects model analysis indicated no significant interaction effect of the intervention group and treatment phase on the zBMI change % ( p = 0.976). However, there was a significant main effect of the treatment phase on zBMI change % at 6 months (β = -2.98, [95% CI, -5.69-0.27]), 18 months (β = -3.99, [95% CI, -6.76-1.22]), and 24 months (β = -3.23, [95% CI, -5.94-0.52]; p = 0.042). The improvements in zBMI, body fat %, and cardiometabolic markers were observed only among males. Whereas the additive effect of intensive exercise or nutritional feedback was not detected in the long term, a booster intervention with 1:1 counseling was effective even after weight regain during the maintenance period. It may be useful to combine individualized counseling with a less intensive form of group care for long-term maintenance in a real-world setting.

Background: Internet or mobile device use as a form of information and communication technology (ICT) can be more effective in weight loss and weight maintenance than traditional obesity interventions., Objective: The study aims to assess the effectiveness of child-centered ICT interventions on obesity-related outcomes., Methods: Articles were retrieved from the Cochrane Central Register of Controlled Trials, Embase, and PubMed web-based databases. We selected randomized controlled trials in which the participants were aged <18 years. The primary outcomes were BMI, body weight, BMI z-score, waist circumference, and percentage body fat., Results: In total, 10 of the initial 14,867 studies identified in the databases were selected according to the inclusion criteria. A total of 640 participants were included in the intervention group and 619 in the comparator group. Meta-analyses were conducted considering various subgroups (intervention type, comparator type, target participants, mean age, sex, BMI status, and follow-up period). Overall, ICT interventions demonstrated no significant effect on BMI, body weight, BMI z-score, waist circumference, and percentage body fat. Subgroup analyses revealed that the effect of the intervention was statistically significant for the following: web intervention (weighted mean difference [WMD]=-1.26 kg/m 2 , 95% CI -2.24 to -0.28), lifestyle modification comparator (WMD=-1.75, 95% CI -2.76 to -0.74), intervention involving both boys and girls (WMD=-1.30, 95% CI -2.14 to -0.46), and intervention involving obesity only (WMD=-1.92, 95% CI -3.75 to -0.09)., Conclusions: The meta-analysis results for children with obesity who used the web intervention program confirmed significant effects on BMI reduction compared with lifestyle modification. Evidence from the meta-analysis identified internet technology as a useful tool for weight loss in children with obesity., (©Jihyun Park, Mi-Jeong Park, Young-Gyun Seo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.11.2021.)

Objective: To analyze the relationship between body composition, metabolic parameters, and bone mineral density (BMD) according to sex and the degree of obesity in children and adolescents., Methods: A total of 236 subjects with obesity, aged 10 to 15 years (36.9% girls), were enrolled. Obesity was classified into simple (SmOb) and extreme (ExOb) forms. The BMD of the total body, less head, was measured by dual energy x-ray absorptiometry, and the BMD z-score was used to evaluate the relationship of body composition with metabolic parameters., Results: BMD z-scores were higher in subjects with ExOb than in those with SmOb. Lean mass index (LMI), body mass index z-score, and vitamin D intake showed positive relationships, whereas percentage of body fat and serum leptin level showed negative relationships with BMD z-scores in boys. In girls, LMI and body mass index z-score showed positive relationships with BMD z-scores. In multivariable linear regressions, serum leptin level showed negative relationships with BMD z-score, only in boys. In addition, positive relationships of LMI and negative relationships of percentage of body fat with BMD z-scores were observed in subjects with SmOb. However, positive relationships of LMI with BMD z-scores were attenuated in subjects with ExOb., Conclusion: High BMD appears to be positively associated with lean mass in children and adolescents with obesity, which might be a natural protective mechanism to withstand the excess weight. However, excessive body fat appears to be negatively associated with BMD, which might attenuate the positive relationship between lean mass and BMD in subjects with ExOb., (Copyright © 2021 AACE. Published by Elsevier Inc. All rights reserved.)

Background: Significant dropout rates remain a serious concern in pediatric weight control program, but few studies have identified predictors of dropout., Aims: The objective of the study is to identify factors associated with dropout from a pediatric lifestyle modification weight control program at different phases., Methods: Data on overweight and obese participants (n = 242) aged 11-18 years in the Intervention for Childhood and Adolescent Obesity via Activity and Nutrition (ICAAN) study were collected at baseline, 6-months, and 24-months through self-report and a laboratory test. Logistic regression analysis was performed for those who dropped out during the first 6-months, and multivariate generalized estimating equation analysis identified longitudinal factors associated with those who dropped out after 24 months., Results: Lower family functioning (OR = 2.30, 95% CI [1.18-4.46]), exercise group (OR = 0.36, 95% CI [0.15-0.86]), lower initial attendance rate (OR = 6.09, 95% CI [2.94-12.6]), and non-self -referral pathways (OR = 2.35, 95% CI [1.05-5.27]) were significantly associated with 6-month dropouts. For late dropout, lower family functioning (OR = 1.71, 95% CI [1.06-2.77]) and lower initial attendance rates (OR = 2.06, 95% CI [1.12-3.81]) remained significant., Conclusion: Family function and initial attendance rate were associated with lower dropout rates. Developing a supportive family environment and focusing on the early-stage factors at the intervention's outset may reduce overall dropout rates in obesity prevention intervention., (Copyright © 2020 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.)

This study aimed to develop a multidisciplinary lifestyle intervention program targeted at children and adolescents with moderate to severe obesity, and assess the additional effects of exercise intervention when compared to usual care. Overall, the 103 enrolled participants were ≥85th percentile of age and sex-specific body mass index (BMI). Participants were divided into groups that received 16 weeks of either usual care or exercise intervention. The BMI z -score of the overall completers decreased by about 0.05 after the 16-week intervention ( p = 0.02). After the intervention, only the exercise group had a significantly lower BMI z -score than the baseline score by about 0.1 ( p = 0.03), but no significant group by time interaction effects were observed. At the 16-week follow-up, significant group by time interaction effects were observed in percentage body fat (%BF) (β = -1.52, 95%CI = -2.58⁻-0.45), lean body mass (LM) (β = 1.20, 95%CI = 0.12⁻2.29), diastolic blood pressure (β = -5.24, 95%CI = -9.66⁻-0.83), high-sensitivity C-reactive protein (β = -1.67, 95%CI = -2.77⁻-1.01), and wall sit test score (β = 50.74, 95%CI = 32.30⁻69.18). We developed a moderate-intensity intervention program that can be sustained in the real-world setting and is practically applicable to both moderate and severe obesity. After interventions, the exercise group had lower %BF and cardiometabolic risk markers, and higher LM and leg muscle strength compared to the usual care group.

This study aimed to validate body composition analysis using bioelectrical impedance analysis (BIA) against dual-energy X-ray absorptiometry (DXA) in children with obesity and to compare agreement between BIA and DXA according to their degree of obesity. Three hundred and sixteen children aged 6-17 years participated in the Intervention for Childhood and Adolescents Obesity via Activity and Nutrition study. We divided participants by body mass index (BMI) percentile (group 1: mild to moderate obesity; group 2: severe obesity) and compared body composition variables, eg, percentage of body fat (%BF), fat mass (FM), and fat-free mass (FFM) using BIA and DXA. The %BF and FM of BIA were significantly lower (-1.8% and -0.8 kg, respectively), and the FFM of BIA was significantly higher (1.4 kg) than those of DXA. There were significant negative relationships between the absolute value of differences from BIA and DXA and BMI z-scores in %BF, FM, and FFM (regression coefficient [β]: -1.39, 95% confidence interval [CI]: -1.81 to -0.97; β: -0.34, 95%CI: -0.61 to -0.06; β: -0.73, 95%CI: -1.03 to -0.44, respectively). The gap of body compositions between BIA and DXA decreased as participants became more obese, and the differences of FM in boys with severe obesity and the differences of %BF and FFM in girls with severe obesity were much less than those in children with mild to moderate obesity. In conclusion, the agreement between DXA and BIA was better for children with severe obesity than for children with mild to moderate obesity., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: The early identification of predictors related to cardiovascular disease risk factor clustering (CVD-RFC) can help prevent chronic disease. We aimed to identify the risk factors for CVD-RFC in adolescents., Methods: A prospective longitudinal cohort study design was used to obtain data included in these analyses from school-aged children who participated in the Korean Child-Adolescent Study 2008-2014. A total of 1309 children aged 6-15 years were enrolled. We compared the participants based on the presence or absence of CVD-RFC and examined the cumulative incidence of CVD-RFC., Results: Of the total 1309 children, 410 (31.32%) had CVD-RFC in adolescence. A higher average household income ≥3 million Korean Republic won (KRW)/month (3-5 million KRW/month: HR 0.75 (95% CI 0.58 to 0.97); ≥5 million KRW/month: HR 0.58 (95% CI 0.44 to 0.77)) was associated with a lower CVD-RFC incidence, while the presence of parental CVD history (HR 1.28 (95% CI 1.04 to 1.57)), overweight or obesity (HR 3.83 (95% CI 3.05 to 4.80)) and shorter sleep duration of 8-9 hour/day (HR 1.80 (95% CI 1.05 to 3.07)) and <8 hour/day (HR 1.93 (95% CI 1.11 to 3.34)) had higher CVD-RFC incidences., Conclusions: Obesity in childhood, short sleep duration and parental factors such as low socioeconomic status and parental history of CVD are significant risk factors for the development of CVD-RFC in adolescents. Efforts to create awareness regarding sufficient sleep duration in children via intervention programmes targeting cardiometabolic health in children and special attention to lifestyle modifications and socioeconomic components of the family should be considered., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)