Background: Recent meta-analyses suggest the use of technology-based interventions as a treatment option for obesity in adulthood. Similar meta-analytic approaches for children are scarce.
Objective: The aim of this meta-analysis is to examine the effect of technology-based interventions on overweight and obesity treatment in children and adolescents.
Methods: A systematic literature search was performed using MEDLINE (PubMed), Scopus, and Cochrane Library for randomized clinical trials to identify interventional studies published between January 2000 and February 2021.
Results: In total, 9 manuscripts from 8 clinical trials of 582 children or adolescents were considered eligible. BMI, BMI z-score, and other BMI-related baseline metrics during and after intervention were considered as primary outcomes. In 7 of 8 studies, a technology-based intervention was applied in addition to conventional care. Of the 8 studies, 6 studies were conducted in the United States, 1 in Australia, and 1 in northwestern Europe. In total, 5 studies included adolescents, whereas the rest addressed children aged 9 to 12 years. Intervention duration ranged from 3 to 24 months. Significant differences between groups in BMI metric changes were reported by 5 of the 8 studies. Pooled analysis revealed an overall significant decrease in BMI metrics in the intervention group (standardized mean difference -0.61, 95% CI -1.10 to -0.13; P=.01). Subgroup analysis revealed that significance was lost in case of no parental involvement (standardized mean difference -0.36, 95% CI -0.83 to 0.11; P=.14). The small number of clinical trials found, the varying study quality, and the study heterogeneity are some limitations of this review.
Conclusions: The studies reported herein describe functional and acceptable technology-based approaches, in addition to conventional treatments, to enhance weight loss in young populations.
Keywords: childhood obesity; digital health; eHealth; mHealth; mobile phone; youth.
©Matina Kouvari, Melina Karipidou, Thomas Tsiampalis, Eirini Mamalaki, Dimitrios Poulimeneas, Eirini Bathrellou, Demosthenes Panagiotakos, Mary Yannakoulia. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.02.2022.