Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Nov 13, 2020
Date Accepted: Oct 14, 2021
Using Social Media to Understand Online Social Factors Concerning Obesity: A Systematic Review
ABSTRACT
Background:
Evidence in the literature suggests social factors have a substantial role in the spread of obesity. Close social tie with an obese friend increases the probability of becoming obese. However, the role of social factors that exist in social media is underexplored in obesity research. With the rapid proliferation of social media over the past few years, individuals socialize on 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 aimed to examine online social factors in relation to obesity research.
Methods:
A systematic review was conducted. We searched PubMed, ACM, and ScienceDirect for articles published by July 5, 2019.
Results:
A total of 1,608 studies were identified from the selected databases. Of these, 50 studies met eligibility criteria. Ten types of online social factors were identified, and a social-ecological model was adopted to explain their potential impact on an individual from varying levels of online social structure to social media users’ connection to the real world.
Conclusions:
We found four levels of interaction found on social media. Gender is the only factor found at the individual level that affects user’s obesity-related online behaviors. Social support is the most predominant factor among identified factors, which benefits users for their weight loss journey at the interpersonal level. Some factors, such as stigma, are also found associated with a healthy online social environment. Understanding the effectiveness of these factors is essential to help users create and maintain a healthy lifestyle.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.