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

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          Abstract

          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.

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          Most cited references92

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          Users of the world, unite! The challenges and opportunities of Social Media

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            Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses.

            The evolution of the electronic age has led to the development of numerous medical databases on the World Wide Web, offering search facilities on a particular subject and the ability to perform citation analysis. We compared the content coverage and practical utility of PubMed, Scopus, Web of Science, and Google Scholar. The official Web pages of the databases were used to extract information on the range of journals covered, search facilities and restrictions, and update frequency. We used the example of a keyword search to evaluate the usefulness of these databases in biomedical information retrieval and a specific published article to evaluate their utility in performing citation analysis. All databases were practical in use and offered numerous search facilities. PubMed and Google Scholar are accessed for free. The keyword search with PubMed offers optimal update frequency and includes online early articles; other databases can rate articles by number of citations, as an index of importance. For citation analysis, Scopus offers about 20% more coverage than Web of Science, whereas Google Scholar offers results of inconsistent accuracy. PubMed remains an optimal tool in biomedical electronic research. Scopus covers a wider journal range, of help both in keyword searching and citation analysis, but it is currently limited to recent articles (published after 1995) compared with Web of Science. Google Scholar, as for the Web in general, can help in the retrieval of even the most obscure information but its use is marred by inadequate, less often updated, citation information.
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              Social Network Sites: Definition, History, and Scholarship

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                Author and article information

                Contributors
                Journal
                JMIR Public Health Surveill
                JMIR Public Health Surveill
                JPH
                JMIR Public Health and Surveillance
                JMIR Publications (Toronto, Canada )
                2369-2960
                March 2022
                7 March 2022
                : 8
                : 3
                : e25552
                Affiliations
                [1 ] University of North Carolina at Charlotte Charlotte, NC United States
                Author notes
                Corresponding Author: Albert Park al.park@ 123456uncc.edu
                Author information
                https://orcid.org/0000-0001-6791-5887
                https://orcid.org/0000-0002-4673-7062
                https://orcid.org/0000-0002-9576-0293
                https://orcid.org/0000-0002-2419-0131
                Article
                v8i3e25552
                10.2196/25552
                8938846
                35254279
                371e640d-9f71-4bef-9c12-3d2d3a03ae3a
                ©Chuqin Li, Adesoji Ademiluyi, Yaorong Ge, Albert Park. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 07.03.2022.

                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.

                History
                : 13 November 2020
                : 9 March 2021
                : 3 May 2021
                : 14 October 2021
                Categories
                Review
                Review

                obesity,web-based social factors,systematic review,social-ecological model

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