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Pediatric obesity prevention and treatment among Hispanics: a systematic review and meta-analysis
St George SM, Kobayashi MA, Noriega Esquives BS, Ocasio MA, Wagstaff RG, Dorcius DP
American Journal of Preventive Medicine 2022 Mar;62(3):438-449
systematic review

INTRODUCTION: The rates of pediatric obesity in the U.S. are highest among Hispanics. There is no existing meta-analysis of the effects of obesity interventions among Hispanic youth. This systematic review and meta-analysis assesses the effects of obesity prevention and treatment interventions on Hispanic youth's weight status and lifestyle behaviors. METHODS: PubMed, PsycINFO, and Scopus were searched between January 1, 2000 and October 30, 2020. Interventions with >= 50% Hispanic youth aged 0 to 18 years were included. Using a weighted inverse-variance procedure, fixed-effects and random-effects models were run for an overall effect size on the basis of the Q total test statistic. Hedges' g was calculated for outcomes of interest between baseline and postintervention separately for studies with multiple versus single conditions. Continuous and categorical moderators were also examined. RESULTS: A total of 1,103 articles were screened, of which 117 were included in the narrative synthesis and 105 in the meta-analysis (n = 49,276 youth). The overall effects for RCT/quasi-experimental studies on BMI status (g = -0.15, SE 0.03, 95% CI -0.20 to -0.10), waist circumference (g = -0.15, SE 0.10, 95% CI -0.35 to -0.05), physical activity (g = 0.12, SE 0.05, 95% CI 0.03 to 0.22), fruit and vegetable intake (g = 0.08, SE 0.02, 95% CI 0.03 to 0.12), and sugar-sweetened beverage intake (g = -0.07, SE 0.03, 95% CI -0.13 to -0.01) were small. Intervention effects varied by participant developmental stage, SES, study setting, and lifestyle behavior target. DISCUSSION: Beyond developing more impactful interventions to address obesity among Hispanic youth, findings highlight the need for targeted policies and more easily disseminable interventions that can spread small effects across a population for maximal public health impact.

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