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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 24, 2021
Date Accepted: Sep 22, 2021

The final, peer-reviewed published version of this preprint can be found here:

Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis

Kouvari M, Karipidou M, Tsiampalis T, Mamalaki E, Poulimeneas D, Bathrellou E, Panagiotakos D, Yannakoulia M

Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis

J Med Internet Res 2022;24(2):e30675

DOI: 10.2196/30675

PMID: 35156934

PMCID: 8887634

Digital Health Interventions for Weight Management in Children and Adolescents: a Systematic Review and Meta-analysis

  • Matina Kouvari; 
  • Melina Karipidou; 
  • Thomas Tsiampalis; 
  • Eirini Mamalaki; 
  • Dimitrios Poulimeneas; 
  • Eirini Bathrellou; 
  • Demosthenes Panagiotakos; 
  • Mary Yannakoulia

ABSTRACT

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:

This meta-analysis examined the effect of technology-based interventions on overweight/obesity treatment in children and adolescents.

Methods:

A systematic literature search was performed in Medline (PubMed), Scopus and Cochrane Library for randomized clinical trials to identify interventional studies published since Jan 2000 on Feb 2021.

Results:

In total, 9 manuscripts from 8 clinical trials of 582 children/adolescents were considered as eligible. BMI, BMI z-score and other BMI-related baseline metrics, during and post- intervention were considered as primary outcomes. In 7 to 8 studies the technology-based intervention was applied on the top of conventional care. Six studies were conducted in USA, 1 study in Australia and 1 study in northwestern Europe. Five studies included adolescents while the rest addressed 9-12 year-old children. Intervention duration ranged from 3 to 24 months. Five to 8 studies reported significant difference between groups in BMI metrics change. Pooled analysis revealed an overall significantly higher decrease in BMI metrics in intervention group (SMD=-0.61, 95%CI=[-1.10, -0.13]; p=0.014). Subgroup analysis revealed that significance was lost in case of no parental involvement (SMD=-0.36; 95%CI=[-0.83, 0.11]; p=0.135). The small number of clinical trials found, the varying study quality and the study heterogeneity are some limitations.

Conclusions:

Finally, this field is advancing so quickly that the technology used is often no longer state-of-the art; interventions that employ the full range of novel technologies, such as ubiquitous sensing and real-time feedback are currently being developed and pilot tested. Thereby, similar meta-analytic approaches should be repeated on regular basis. not relevant


 Citation

Please cite as:

Kouvari M, Karipidou M, Tsiampalis T, Mamalaki E, Poulimeneas D, Bathrellou E, Panagiotakos D, Yannakoulia M

Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis

J Med Internet Res 2022;24(2):e30675

DOI: 10.2196/30675

PMID: 35156934

PMCID: 8887634

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