Evidence map›Paper›PMID 28724510›Full record

ArticleJournal of medical Internet research2017

Social Media Engagement and HIV Testing Among Men Who Have Sex With Men in China: A Nationwide Cross-Sectional Survey.

Bolin Cao, Chuncheng Liu, Maya Durvasula, Weiming Tang, Stephen Pan, Adam J Saffer, Chongyi Wei, Joseph D Tucker

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Bolin CaoSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0001-8743-1361
Chuncheng LiuUniversity of North Carolina Project - China, Guangzhou, China.ORCID 0000-0001-5842-7988
Maya DurvasulaSanford School of Public Policy, Duke University, Durham, NC, United States.ORCID 0000-0002-5623-6202
Weiming TangUniversity of North Carolina Project - China, Guangzhou, China.ORCID 0000-0002-9026-707X
Stephen PanUniversity of North Carolina Project - China, Guangzhou, China.ORCID 0000-0003-3612-7508
Adam J SafferSchool of Media and Journalism, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0001-8032-4256
Chongyi WeiUniversity of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4424-5523
Joseph D TuckerUniversity of North Carolina Project - China, Guangzhou, China.ORCID 0000-0003-2804-1181
University of North Carolina at Chapel Hill · USGuangzhou University · CNDuke University · USShenzhen University · CNUniversity of California, San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Spurring Innovation in HIV Testing and Linkage: A Crowdsourcing Approach -Diversity SupplementR01AI114310 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUCKER, JOSEPH DAVID, WEI, CHONGYI · 2014 to 2018
$3.3M
UNC-South China STD Research Training CenterD43TW009532 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, MYRON SCOTT, TUCKER, JOSEPH DAVID · 2013 to 2017
$1.3M
FIC NIH HHS D43 TW009532NCATS NIH HHS UL1 TR001111NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI114310
6 · The paper itself

Abstract

backgroundMany interventions find that social media engagement with health promotion materials can translate into behavioral changes. However, only a few studies have examined the ways in which specific actions on various social media platforms are correlated with health behaviors.

objectiveThe objective of this study was to examine the association between social media use and HIV testing behaviors among Chinese men who have sex with men (MSM).

methodsIn July 2016, a Web-based survey was conducted to recruit MSM in 8 Chinese cities through Blued (Blue City Holdings Ltd.), the world's largest gay mobile phone app. Data on sociodemographic variables, social media use platforms and behaviors, sexual behaviors, and HIV testing histories were collected. HIV testing-related social media use was defined as having ever engaged with HIV testing content on social media, which was further divided into observing (ie, receiving), endorsing (eg, liking and sharing), and contributing (eg, posting or commenting on HIV testing materials). Confirmatory factor analysis (CFA) was conducted to determine the best division of HIV testing-related social media use. Univariate and multivariable logistic regressions were used to examine the association between HIV testing-related social media use and HIV testing behaviors.

resultsA total of 2105 individuals participated in the survey. Among them, 46.75% (984) were under the age of 24 years, 35.43% (746) had high school education or less, and 47.74% (587) had condomless sex in the last 3 months. More than half of the respondents (58.14%, 1224/2105) reported HIV testing-related social media use. Additionally, HIV testing-related social media use, especially on multifunctional platforms such as WeChat, was found to be associated with recent HIV testing (adjusted odds ratio [aOR] 2.32, 95% CI 1.66-3.24). Contributing on social media was correlated with recent HIV testing (aOR 2.10, 95% CI 1.40-3.16), but neither observing (aOR 0.66, 95% CI 0.38-1.15) nor endorsing (aOR 1.29, 95% CI 0.88-1.90) were correlated.

conclusionsOur data suggest that social media use, particularly on multifunctional platforms such as WeChat and with contributing behaviors, is correlated with HIV testing among MSM in China. Campaigns that promote active participant contribution on social media beyond passive observation and endorsement of promotional materials are needed. This study has implications for the design and implementation of social media interventions to promote HIV testing.

Indexed as

Health BehaviorAdultChinaCross-Sectional StudiesHealth PromotionHIV InfectionsHomosexuality, MaleHumansLogistic ModelsMaleMass ScreeningOdds RatioSexual BehaviorSocial MediaChinaHIVhomosexualitymalemobile applicationsocial Media

Identifiers

PMID28724510
PMCPMC5541240
OpenAlexW2738099170

What OpenQuestion holds

Textmetadata
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.