ArticleSexually transmitted diseases2017
Demographics, Behaviors, and Sexual Health Characteristics of High Risk Men Who Have Sex With Men and Transgender Women Who Use Social Media to Meet Sex Partners in Lima, Peru.
Article in Sexually transmitted diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis.BMC public health · 2018Pooled it
- HIV Risk Behaviors and the Use of Geosocial Networking Dating Apps among Men Who have Sex with Men and Transgender Women in Lima, Peru: a Cross-Sectional Study.AIDS and behavior · 2024Article
- An Online HIV Self-Sampling Strategy for Gay, Bisexual and Other Men Who Have Sex with Men and Trans Women in Spain.Journal of community health · 2024Article
- Sexual network characteristics and partnership types among men who have sex with men diagnosed with syphilis, gonorrhoea and/or chlamydia in Lima, Peru.Sexually transmitted infections · 2024Article
- Using a Geosocial Networking App to Investigate New HIV Infections and Related Risk Factors Among Student and Nonstudent Men Who Have Sex With Men in Chengdu, China: Open Cohort Study.Journal of medical Internet research · 2023Article
- Substance use and other correlates of HIV infection among transwomen and men who have sex with men in Perú: Implications for targeted HIV prevention strategies for transwomen.PLOS global public health · 2023Article
- Social media information and its association with the adoption of COVID-19 preventive measures in four Latin American countries.The review of communication · 2023Article
- Bridge of Rainbow: Association Between Internet-Based Social Media Use and Homosexuality Inclusion in China.Frontiers in psychology · 2022Article
- Geosocial Networking Apps Use Among Sexual Minority Men in Ecuador: An Exploratory Study.Archives of sexual behavior · 2021Article
- Sexual Behaviors and HIV/STI Prevention Strategies Among Sexual Minority Men in Ecuador Who Use Geosocial Networking Apps.Archives of sexual behavior · 2021Article
- The Characteristics and Risk Factors of Web-Based Sexual Behaviors Among Men Who Have Sex With Men in Eastern China: Cross-sectional Study.JMIR public health and surveillance · 2021Article
- HIV incidence among men who have sex with men using geosocial networking smartphone application in Beijing, China: an open cohort study.Infectious diseases of poverty · 2021Article
- Article
- Sex-on-premise venues, associated risk behaviors, and attitudes toward venue-based HIV testing among men who have sex with men in Lima, Perú.BMC public health · 2020Article
- Stigma and Web-Based Sex Seeking Among Men Who Have Sex With Men and Transgender Women in Tijuana, Mexico: Cross-Sectional Study.JMIR public health and surveillance · 2020Article
- The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review.International journal of medical informatics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundMen who have sex with men (MSM) and transgender women (TW) in Peru bear a disproportionate burden of human immunodeficiency virus (HIV) and sexually transmitted infections (STIs). In a context of quickly expanding communication technology, increasing numbers of MSM and TW are using social media applications to seek sex partners. Understanding social media users and their sex partnering practices is needed to update HIV and STI prevention programming.
methodsIn Lima, Peru, 312 MSM and 89 TW from 2 STI clinics underwent HIV and STI testing and participated in a survey of demographics, behaviors, sexual health, and social media practices. χ, t tests, and Wilcoxon Mann-Whitney tests were used to compare those with and without recent social media sex partners.
resultsMen who have sex with men with social media sex partners were younger, more educated, and more likely to identify as gay. They were significantly more likely to report greater numbers of sex partners, including anonymous sex partners; sex in higher-risk venues, orgies, and have rectal Neisseria gonorrhoeae or Chlamydia trachomatis infection. Transgender women with social media sex partners were also younger, more likely to participate in sex work, and have a lower rate of rapid plasma reagin positivity or history of syphilis. Participants reported using several social media sites including sexual hook-up applications, websites for gay men, pornographic websites, and chat sites, but the most common was Facebook.
conclusionsPrevention strategies targeting Peruvian MSM and TW who use social media are needed to address higher-risk sexual behavior and the high burden of STIs.
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Registered trials
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.