AUTHOR=Wu Yiling , Amirfakhraei Azita , Ebrahimzadeh Farnoosh , Jahangiry Leila , Abbasalizad-Farhangi Mahdieh 

TITLE=RETRACTED: Screen Time and Body Mass Index Among Children and Adolescents: A Systematic Review and Meta-Analysis

JOURNAL=Frontiers in Pediatrics

VOLUME=10

YEAR=2022

URL=https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2022.822108

DOI=10.3389/fped.2022.822108

ISSN=2296-2360

ABSTRACT=<sec><title>Background</title><p>There is no summative quantitative study that report the difference in BMI in high screen user children and adolescents or give a difference in screen time in children and adolescents with obesity vs. children and adolescents without obesity. In the current meta-analysis we systematically summarized the association between obesity and screen time and meta-analyzed the results.</p></sec><sec><title>Methods</title><p>A systematic search from Scopus, PubMed and Embase electronic databases. Studies that evaluated the association between screen time and obesity up to June 2021.</p></sec><sec><title>Results</title><p>Results revealed that those at the highest screen time category had 0.7 kg/m<sup>2</sup> higher BMI (WMD = 0.703; CI = 0.128, 1.278; <italic>P</italic> &lt; 0.016; <italic>I</italic><sup>2</sup> = 95.8%). Moreover, children and adolescents with obesity had a mean value of 0.313 h higher screen time compared with children and adolescents without obesity (WMD: 0.313; OR = 0.219, 0.407; <italic>P</italic> &lt; 0.001; <italic>I</italic><sup>2</sup> = 96%). The results of subgrouping showed that study quality, continent and sample size could reduce the heterogeneity values. No evidence of publication bias was reported according to visual asymmetry of funnel plots and the results of Begg’s and Egger’s tests.</p></sec><sec><title>Conclusion</title><p>For the first time, the current systematic review and meta-analysis revealed a positive association between screen time and obesity among children and adolescents. Due to the cross-sectional design of the included studies, causal inference is impossible, therefore, further studies in separate analysis of both genders are suggested to better elucidate gender-specific results.</p></sec><sec><title>Systematic Review Registration</title><p>[<ext-link ext-link-type="uri" xlink:href="http://www.ClinicalTrials.gov" xmlns:xlink="http://www.w3.org/1999/xlink">www.ClinicalTrials.gov</ext-link>], identifier [CRD4202123 3899].</p></sec>