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Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression

Social isolation and loneliness are growing public health concerns in adults with obesity and overweight. Social media-based interventions may be a promising approach. This systematic review aims to (1) evaluate the effectiveness of social media-based interventions on weight, body mass index, waist...

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Autores principales: Loh, Yue Lun, Yaw, Qin Ping, Lau, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069737/
https://www.ncbi.nlm.nih.gov/pubmed/37012428
http://dx.doi.org/10.1038/s41366-023-01304-6
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author Loh, Yue Lun
Yaw, Qin Ping
Lau, Ying
author_facet Loh, Yue Lun
Yaw, Qin Ping
Lau, Ying
author_sort Loh, Yue Lun
collection PubMed
description Social isolation and loneliness are growing public health concerns in adults with obesity and overweight. Social media-based interventions may be a promising approach. This systematic review aims to (1) evaluate the effectiveness of social media-based interventions on weight, body mass index, waist circumference, fat, energy intake and physical activity among adults with obesity and overweight and (2) explore potential covariates on treatment effect. Eight databases, namely, PubMed, Cochrane Library, Embase, CINAHL, Web of Science, Scopus PsycINFO and ProQuest, were searched from inception until December 31, 2021. The Cochrane Collaboration Risk of Bias Tool and Grading of Recommendations, Assessment, Development and Evaluation criteria evaluated the evidence quality. Twenty-eight randomised controlled trials were identified. Meta-analyses found that social media-based interventions had small-to-medium significant effects on weight, BMI, waist circumference, body fat mass and daily steps. Subgroup analysis found greater effect in interventions without published protocol or not registered in trial registries than their counterparts. Meta-regression analysis showed that duration of intervention was a significant covariate. The certainty of evidence quality of all outcomes was very low or low. Social media-based interventions can be considered an adjunct intervention for weight management. Future trials with large sample sizes and follow-up assessment are needed.
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spelling pubmed-100697372023-04-04 Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression Loh, Yue Lun Yaw, Qin Ping Lau, Ying Int J Obes (Lond) Review Article Social isolation and loneliness are growing public health concerns in adults with obesity and overweight. Social media-based interventions may be a promising approach. This systematic review aims to (1) evaluate the effectiveness of social media-based interventions on weight, body mass index, waist circumference, fat, energy intake and physical activity among adults with obesity and overweight and (2) explore potential covariates on treatment effect. Eight databases, namely, PubMed, Cochrane Library, Embase, CINAHL, Web of Science, Scopus PsycINFO and ProQuest, were searched from inception until December 31, 2021. The Cochrane Collaboration Risk of Bias Tool and Grading of Recommendations, Assessment, Development and Evaluation criteria evaluated the evidence quality. Twenty-eight randomised controlled trials were identified. Meta-analyses found that social media-based interventions had small-to-medium significant effects on weight, BMI, waist circumference, body fat mass and daily steps. Subgroup analysis found greater effect in interventions without published protocol or not registered in trial registries than their counterparts. Meta-regression analysis showed that duration of intervention was a significant covariate. The certainty of evidence quality of all outcomes was very low or low. Social media-based interventions can be considered an adjunct intervention for weight management. Future trials with large sample sizes and follow-up assessment are needed. Nature Publishing Group UK 2023-04-03 /pmc/articles/PMC10069737/ /pubmed/37012428 http://dx.doi.org/10.1038/s41366-023-01304-6 Text en © The Author(s), under exclusive licence to Springer Nature Limited 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review Article
Loh, Yue Lun
Yaw, Qin Ping
Lau, Ying
Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title_full Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title_fullStr Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title_full_unstemmed Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title_short Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
title_sort social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069737/
https://www.ncbi.nlm.nih.gov/pubmed/37012428
http://dx.doi.org/10.1038/s41366-023-01304-6
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