Cargando…

Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review

BACKGROUND: Evidence in the literature surrounding obesity suggests that social factors play a substantial role in the spread of obesity. Although social ties with a friend who is obese increase the probability of becoming obese, the role of social media in this dynamic remains underexplored in obes...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Chuqin, Ademiluyi, Adesoji, Ge, Yaorong, Park, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938846/
https://www.ncbi.nlm.nih.gov/pubmed/35254279
http://dx.doi.org/10.2196/25552
_version_ 1784672635430371328
author Li, Chuqin
Ademiluyi, Adesoji
Ge, Yaorong
Park, Albert
author_facet Li, Chuqin
Ademiluyi, Adesoji
Ge, Yaorong
Park, Albert
author_sort Li, Chuqin
collection PubMed
description BACKGROUND: Evidence in the literature surrounding obesity suggests that social factors play a substantial role in the spread of obesity. Although social ties with a friend who is obese increase the probability of becoming obese, the role of social media in this dynamic remains underexplored in obesity research. Given the rapid proliferation of social media in recent years, individuals socialize through social media and share their health-related daily routines, including dieting and exercising. Thus, it is timely and imperative to review previous studies focused on social factors in social media and obesity. OBJECTIVE: This study aims to examine web-based social factors in relation to obesity research. METHODS: We conducted a systematic review. We searched PubMed, Association for Computing Machinery, and ScienceDirect for articles published by July 5, 2019. Web-based social factors that are related to obesity behaviors were studied and analyzed. RESULTS: In total, 1608 studies were identified from the selected databases. Of these 1608 studies, 50 (3.11%) studies met the eligibility criteria. In total, 10 types of web-based social factors were identified, and a socioecological model was adopted to explain their potential impact on an individual from varying levels of web-based social structure to social media users’ connection to the real world. CONCLUSIONS: We found 4 levels of interaction in social media. Gender was the only factor found at the individual level, and it affects user’s web-based obesity-related behaviors. Social support was the predominant factor identified, which benefits users in their weight loss journey at the interpersonal level. Some factors, such as stigma were also found to be associated with a healthy web-based social environment. Understanding the effectiveness of these factors is essential to help users create and maintain a healthy lifestyle.
format Online
Article
Text
id pubmed-8938846
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-89388462022-03-23 Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review Li, Chuqin Ademiluyi, Adesoji Ge, Yaorong Park, Albert JMIR Public Health Surveill Review BACKGROUND: Evidence in the literature surrounding obesity suggests that social factors play a substantial role in the spread of obesity. Although social ties with a friend who is obese increase the probability of becoming obese, the role of social media in this dynamic remains underexplored in obesity research. Given the rapid proliferation of social media in recent years, individuals socialize through social media and share their health-related daily routines, including dieting and exercising. Thus, it is timely and imperative to review previous studies focused on social factors in social media and obesity. OBJECTIVE: This study aims to examine web-based social factors in relation to obesity research. METHODS: We conducted a systematic review. We searched PubMed, Association for Computing Machinery, and ScienceDirect for articles published by July 5, 2019. Web-based social factors that are related to obesity behaviors were studied and analyzed. RESULTS: In total, 1608 studies were identified from the selected databases. Of these 1608 studies, 50 (3.11%) studies met the eligibility criteria. In total, 10 types of web-based social factors were identified, and a socioecological model was adopted to explain their potential impact on an individual from varying levels of web-based social structure to social media users’ connection to the real world. CONCLUSIONS: We found 4 levels of interaction in social media. Gender was the only factor found at the individual level, and it affects user’s web-based obesity-related behaviors. Social support was the predominant factor identified, which benefits users in their weight loss journey at the interpersonal level. Some factors, such as stigma were also found to be associated with a healthy web-based social environment. Understanding the effectiveness of these factors is essential to help users create and maintain a healthy lifestyle. JMIR Publications 2022-03-07 /pmc/articles/PMC8938846/ /pubmed/35254279 http://dx.doi.org/10.2196/25552 Text en ©Chuqin Li, Adesoji Ademiluyi, Yaorong Ge, Albert Park. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 07.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Review
Li, Chuqin
Ademiluyi, Adesoji
Ge, Yaorong
Park, Albert
Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title_full Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title_fullStr Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title_full_unstemmed Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title_short Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review
title_sort using social media to understand web-based social factors concerning obesity: systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938846/
https://www.ncbi.nlm.nih.gov/pubmed/35254279
http://dx.doi.org/10.2196/25552
work_keys_str_mv AT lichuqin usingsocialmediatounderstandwebbasedsocialfactorsconcerningobesitysystematicreview
AT ademiluyiadesoji usingsocialmediatounderstandwebbasedsocialfactorsconcerningobesitysystematicreview
AT geyaorong usingsocialmediatounderstandwebbasedsocialfactorsconcerningobesitysystematicreview
AT parkalbert usingsocialmediatounderstandwebbasedsocialfactorsconcerningobesitysystematicreview