Evidence map›Paper›PMID 30664490›Full record

Trial reportJournal of medical Internet research2019

Leading by Example: Web-Based Sexual Health Influencers Among Men Who Have Sex With Men Have Higher HIV and Syphilis Testing Rates in China.

Dan Wu, Weiming Tang, Haidong Lu, Tiange P Zhang, Bolin Cao, Jason J Ong, Amy Lee, Chuncheng Liu, Wenting Huang, Rong Fu and 6 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 48 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

16 authors at 8 institutions in 4 countries.

Dan WuUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0003-0415-5467
Weiming TangUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0002-9026-707X
Haidong LuUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0002-7908-2517
Tiange P ZhangUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0002-5085-945X
Bolin CaoSchool of Media and Communication, Shenzhen University, Shenzhen, China.ORCID 0000-0001-8743-1361
Jason J OngFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5784-7403
Amy LeeUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0001-6724-186X
Chuncheng LiuDepartment of Sociology, University of California, San Diego, CA, United States.ORCID 0000-0001-5842-7988
Wenting HuangUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0003-0032-6986
Rong FuSocial Entrepreneurship to Spur Health Global, Guangzhou, China.ORCID 0000-0001-9944-1436
Katherine LiWeill Cornell Medical College, New York, NY, United States.ORCID 0000-0002-1201-7630
Stephen W PanDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID 0000-0003-3612-7508
Ye ZhangUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0001-6159-7427
Hongyun FuEastern Virginia Medical School, Norfolk, VA, United States.ORCID 0000-0002-9964-023X
Chongyi WeiDepartment of Social and Behavior Health Sciences, Rutgers School of Public Health, Piscataway, NJ, United States.ORCID 0000-0002-4424-5523
Joseph D TuckerUniversity North Carolina at Chapel Hill, Project-China, Guangzhou, China.ORCID 0000-0003-2804-1181
University of North Carolina at Chapel Hill · USCornell University · USEastern Virginia Medical School · USLondon School of Hygiene & Tropical Medicine · GBRutgers, The State University of New Jersey · USShenzhen University · CNUniversity of California San Diego · USXi’an Jiaotong-Liverpool University · CN

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
NIAID NIH HHS P30 AI050410
6 · The paper itself

Abstract

backgroundThe spread of healthy behaviors through social networks may be accelerated by influential individuals. Previous studies have used lay health influencers to prevent sexually transmitted infections (STIs) among internet-using men who have sex with men (MSM). However, there is a lack of understanding of the characteristics of this key subset of MSM.

objectiveThis study aimed to examine sociodemographic characteristics, HIV and syphilis testing, and sexual behaviors of Web-based MSM sexual health influencers (SHIs) in China, defined as individuals with relatively stronger influence on spreading HIV and STI information online.

methodsA Web-based survey of MSM was conducted in August 2017 as a final follow-up of a randomized controlled trial promoting HIV testing in 8 Chinese cities. Men were recruited through a gay social networking mobile phone app and were included if they were born biologically male, aged 16 years and above, ever had sex with another man, and HIV negative or with unknown HIV status. Information regarding sociodemographic characteristics, sexual behaviors, and HIV and syphilis testing was obtained. We assessed men's Web-based sexual health influence using a standardized 6-item opinion leadership scale focused on HIV and STI information. Influencers were defined as those whose mean score ranked within the top 13% (a higher score means greater influence). We used multivariable linear and logistic regression models to measure Web-based sexual health influence's association with HIV and syphilis testing, controlling for intervention trial effects, age, education, income, and marital status.

resultsOverall, 1031 men completed the survey. Most men were younger than 30 years (819/1031, 79.43%) and had at least college education (667/1031, 64.69%). Influencers were more likely to get tested for HIV (73/132, 55.3% vs 337/899, 37.5%; P<.001) and syphilis (35/132, 26.5% vs 137/899, 15.2%; P=.001) in the last 3 months compared with noninfluencers. There were no significant differences in condomless sex with male partners (26/132, 19.7% vs 203/899, 22.6%; P=.46), mean number of male sex partners (1.32 vs 1.11; P=.16) in the last 3 months, and mainly meeting male sex partners online in the last 12 months (97/132, 73.5% vs 669/899, 74.4%; P=.82) between influencers and noninfluencers. Regression analyses showed that influencers had higher odds of HIV testing (adjusted odds ratio, AOR 2.16, 95% CI 1.48-3.17) and syphilis testing (AOR 1.99, 95% CI 1.28-3.10) in the last 3 months.

conclusionsWe identified Web-based SHIs who might be more likely to help promote healthy HIV and syphilis testing behaviors through MSM populations. Leveraging existing influencers may help improve HIV and syphilis testing among their networks.

Indexed as

AdolescentAdultCross-Sectional StudiesHIV InfectionsHomosexuality, MaleHumansMaleSexual and Gender MinoritiesSexual BehaviorSexual HealthSexually Transmitted DiseasesSyphilisYoung AdultChinahealth promotionHIVinternetmen who have sex with menpeer influencesocial mediasocial networkssyphilis

Identifiers

PMID30664490
PMCPMC6360381
OpenAlexW2898307603

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.