Methodological Quality of Systematic Reviews on Bodyweight Management Strategies for Children and Adolescents

Med Sci Sports Exerc. 2023 May 1;55(5):892-899. doi: 10.1249/MSS.0000000000003116. Epub 2023 Jan 10.

Abstract

Introduction: Systematic reviews (SRs) synthesize empirical evidence from randomized controlled trials, to answer a research question. Methodological flaws in SRs can, however, reduce the trustworthiness of conclusions, subsequently hindering decision making. We aimed to appraise the methodological quality of existing SRs on bodyweight management strategies for children and adolescents.

Methods: We searched Cochrane Database of Systematic Reviews, MEDLINE, EMBASE, and SPORTDiscus. A MeaSurement Tool to Assess systematic Reviews (AMSTAR 2) was used to evaluate the methodological quality of SRs including 16 individual AMSTAR 2 domains and the total AMSTAR score. Association between bibliographical characteristics and total AMSTAR score of SRs was explored using multiple linear regression analysis.

Results: Three critical domain-specific items of AMSTAR 2 among the included SRs showed unsatisfactory results including (i) justifying deviation from their SR protocols, (ii) using comprehensive literature search strategies, and (iii) giving details of both included and excluded studies. "More recent publication year journal," "higher impact factor of the journal," and "greater number of review authors" were associated with better methodological quality of the included SRs.

Conclusions: Future SRs' authors in the field of bodyweight management strategies for children and adolescents should improve the following criteria: (i) justify deviations from SR protocol, (ii) explain selection of the included study designs, (iii) use comprehensive literature search strategy, (iv) give details for both included and excluded studies, (v) report funding sources among included studies, and (vi) assess the potential impact of risk of bias among the included studies on meta-analysis results.

Publication types

  • Meta-Analysis

MeSH terms

  • Adolescent
  • Bias
  • Child
  • Humans
  • Linear Models
  • Research Design*
  • Research Report*
  • Systematic Reviews as Topic