Evidence map›Paper›PMID 35254279›Full record

SynthesisJMIR public health and surveillance2022

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

Chuqin Li, Adesoji Ademiluyi, Yaorong Ge, Albert Park

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chuqin LiUniversity of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0001-6791-5887
Adesoji AdemiluyiUniversity of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0002-4673-7062
Yaorong GeUniversity of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0002-9576-0293
Albert ParkUniversity of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0002-2419-0131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence 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.

objectiveThis study aims to examine web-based social factors in relation to obesity research.

methodsWe 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.

resultsIn 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.

conclusionsWe 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.

Indexed as

Social MediaExerciseHumansObesitySocial EnvironmentSocial Factorsobesitysocial-ecological modelsystematic reviewweb-based social factors

Identifiers

PMID35254279
PMCPMC8938846

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.