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Pediatric Obesity: Meta-Analysis of Non-Surgical Interventions« Back to Volume 25, Issue 1, June 2009 - Table of Contents In order to inform practice guidelines, the Endocrine Society’s Task Force on Pediatric Obesity engaged the Mayo Knowledge and Encounter Research Unit to conduct a meta-analysis of published, randomized trials for pediatric obesity lifestyle and pharmacological interventions.1 Overweight or obese children aged 2- through 18-years served as participants in the individual studies forming the meta-analysis. Pharmacological interventions included medications aimed at reducing measures of obesity in children (ie, BMI, percent overweight, percent fat-free mass and visceral adiposity). Lifestyle interventions included treatment strategies targeting physical activity and/or dietary changes. Eligible treatments targeted the child, parent, family, school, or community. Interventionists included community agents, school personnel, family members, or healthcare personnel. Fully published randomized trials were identified through a systematic search of the following databases: MEDLINE, EMBASE, ERIC, CINAHL, Cochrane Central Register of Controlled Trials, PSYCInfo, Dissertation Abstracts International, Science Citation Index, and Social Science Citation Index. Publications through February 2006 were included. Reference sections of reviews and published guidelines were reviewed, and suggestions from experts on The Endocrine Society Pediatric Obesity Task Force were included. From these, 76 articles were considered eligible for the meta-analysis; in all, 61 trials had complete data to include in meta-analyses. Working in pairs, trained reviewers extracted study details and mean or variance data were calculated. Effect size and 95% confidence interval (CI) for the difference between the intervention and control groups were calculated, as well as standardized mean differences. Subgroup analyses were conducted for degree of parental participation, child age, percent body fat versus BMI, and the combination of reduced sedentary behavior and increased physical activity. Standardized mean differences of about 0.2 or less were considered small, about 0.5 as moderate, and about 0.8 or greater as large effect sizes. The likelihood of between-study variability being attributable to true between-study differences (versus chance) was quantified using the I2 statistic (inconsistency is considered small when I2 <25%, moderate 25%-50%, and large >50%). A total of 17 trials of pharmacological interventions formed this portion of the meta-analysis: sibutramine (3 trials) — the pooled effect size, favoring treatment, was large (–1.01; CI = –1.8 to –0.73; I2 = 30%) and consistent with a loss in BMI of 2.4 kg/m2 (CI = 1.8 to 3.1 kg/m2) after 6 months of use (patients taking sibutramine had higher rates of elevated blood pressure and pulse rate than patients taking placebo); orlistat (3 trials) – the pooled effect size was small to moderate (–0.29; CI = –0.46 to –0.12; I2 = 0%) and consistent with a loss in BMI of 0.7 kg/m2 (CI = 0.3 to 1.2 kg/m2). More patients taking orlistat reported GI side effects than patients on placebo; metformin monotherapy for hyperinsulinemic nondiabetic obese adolescents lead to a small nonsignificant change in obesity outcome at 6 months (–0.17; CI = 0.62 to 0.28). The remaining trials measured the effect of sympathomimetics (ephedrine and caffeine, dexfenfluoramine), dehydroepiandrosterone, and fiber supplements (results reported in figure). Trials of rimonabant in children or adolescents were not identified in the literature. Lifestyle interventions were divided into “dietary interventions only” (ie, reduced-glycemic-load diet, protein-sparing modified diet, low-carbohydrate diet, high-protein diet, and hypocaloric diet versus control; n=6), “physical activity interventions only” (n=17), and “combined lifestyle interventions” (n=23). The pooled effect sizes and between-study inconsistency for dietary interventions were both small (–0.22; CI = –0.056 to 0.11; I2 = 22.5%). Physical activity interventions yielded inconsistent results: the investigators examined whether the choice of obesity outcome measure accounted for this. Trials that measured effects on adiposity found a moderate treatment effect (–0.52, CI = –0.73 to –0.30; I2 = 0%), whereas trials measuring the effect of physical activity on BMI found no significant effect (–0.02, CI = –0.21 to 0.18; I2 = 0%). The pooled estimate across combination lifestyle interventions (physical activity and dietary modification) yielded small to moderate treatment effects. The largest effects were associated with greater parental involvement. There was a nonsignificant interaction between child age and parental involvement, with a trend toward a larger treatment effect for children 8 years or younger (–0.70; CI = –1.00 to –0.40). Overall summary of meta-analyses results of randomized trials of treatments for pediatric obesity. Reprinted with permission McGovern L, et al. J Clin Endocr Metab. 2008;93:4600-4605. Copyright © Endocrine Society 2008. All rights reserved. The authors concluded: (1) short-term efficacy of sibutramine and orlistat on BMI; (2) moderate effect of physical activity on adiposity, but not BMI; and (3) small to moderate effect of combined lifestyle interventions on BMI with a nonsignificant trend favoring those interventions with parental involvement, in particular trials involving younger children. The authors discussed research implications related to drawbacks associated with using BMI as an outcome measure (eg, less responsive to change, requires accuracy and reproducibility in measurement, and misinterprets risk in muscular and short children), and suggested using more responsive outcome measures such as fat-free mass or percent body fat in future studies. The authors also suggested that the Endocrine Society’s recommendation for a multidisciplinary and multimodal approach to the treatment of pediatric obesity be studied with long-term randomized trials. Editors’ CommentThe generally dim view of the effectiveness of non-surgical approaches to the management of pediatric obesity may be an important contributing factor to the increasing visibility of bariatric surgery programs. The current meta-analysis provides valuable information for the clinician, clinical and public health researcher with an interest in ensuring that management moves forward in an evidence-based manner. Meta-analysis provides the benefit of increasing the statistical power of small or inconclusive studies and can demonstrate how interventions deliver heterogeneous effectiveness in different settings and in different patients. The benefits do not come without drawbacks, however. Meta-analysis cannot improve the quality of the original studies. Further, aggregation of studies without sufficient attention to the heterogeneity of procedures may result in misleading conclusions. In the case of the current meta-analysis, there was substantial variability in the procedures adopted across lifestyle intervention trials. These studies varied greatly with respect to duration of the intervention, frequency of sessions, content of dietary, behavioral, and exercise components, training of the interventionists, and measurement. For example, in trials categorized as “combined lifestyle intervention category,” some used the Traffic Light Diet, whereas others did not state specifically which nutrition recommendations were offered. Duration of exercise also varied; some interventions held exercise sessions 3-times per week, whereas others only provided exercise education. Furthermore, specification of the specific behavioral strategies employed during treatment to promote behavior change is not consistently described. Given the high degree of unspecified details across studies, it would be premature to adopt generalizations regarding the value of lifestyle interventions, per se. Effect sizes of the interventions included in this meta-analysis were estimated in reference to control groups. Not only was there great variability across procedures adopted as interventions, there was also great variability with respect to how control groups were defined. Some researchers chose a no-treatment control group, whereas others altered aspects of the intervention delivered to the treatment group and used this modified intervention as the control group. The strength of findings for any single study may be diminished when the intervention group is compared to a control group that is also offering some form of the intervention, albeit modified. The high degree of variability across interventions, together with highly variable control groups, leads us to question whether a meta-analysis is premature. An additional detail regarding studies classified as “combined lifestyle interventions” is noteworthy. The authors suggested a statistically non-significant trend for a larger treatment effect in interventions involving parental involvement in children 8 years of age or younger. This conclusion was based on only 2 studies in which the majority of participants were under age 8 years. Moreover, one of these studies examines a parent-only approach to weight management.3 Given some of our observations, it might be premature to draw firm conclusions about the magnitude of effect sizes of dietary or behavioral interventions and their variability across populations. The obvious risk would be to make pronouncements that bias future research agenda. Bethany Sallinen, PhD* Reference - (linked to
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