ArticleJMIR public health and surveillance2022
Estimating Changes in Population Size and Behavioral Characteristics in Men Who Have Sex With Men Between 2014 and 2019: Longitudinal Study.
Article 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 12 papers.
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
12 citing papers in PubMed, 15 citations in OpenAlex.
- Overcoming the HIV Pre-Exposure Prophylaxis Uptake Barrier With A Health Action Process Approach and Conditional Economic Incentives Among Men Who Have Sex With Men in 3 Chinese Cities: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2026Trial
- County- and State-level Estimates of Population Sizes of Men Who Have Sex With Men Across the United States.Open forum infectious diseases · 2026Article
- Integrating social cognitive theory with machine learning to predict MSM-women sexual behavior: a multicenter random forest model development study in China.Scientific reports · 2026Article
- Trends of sexual behaviors and related factors in high-risk MSM from 2010 to 2023: a repeated cross-sectional study in Zhejiang, China.BMC public health · 2025Article
- The precision of behavioral intervention strategies remain one of the key strategies for HIV prevention among MSM in the era of pharmaceutical interventions: an ecological study.BMC infectious diseases · 2025Article
- How Information Exposure Shapes Risk Perceptions and Vaccination Intentions Among Gay, Bisexual, and Other Men Who Have Sex With Men: Cross-Sectional Survey Study.JMIR public health and surveillance · 2025Article
- Clinical, Epidemiological, Virological Characteristics and Outcomes of 286 Patients Infected With Monkeypox Virus in China.Allergy · 2025Article
- Short-Term Mobility and Risky Sexual Behaviors Among Men Who Have Sex with Men in Guangdong, China.AIDS and behavior · 2025Article
- Spatiotemporal and Behavioral Patterns of Men Who Have Sex With Men Using Geosocial Networking Apps in Shenzhen From Mobile Big Data Perspective: Longitudinal Observational Study.Journal of medical Internet research · 2025Observational
- Further Exploring the Public Health Implications of the Network Scale-Up Method: Cross-Sectional Survey Study.JMIR public health and surveillance · 2024Article
- HIV risk and influence factors among MSM who had sought sexual partners in core venues: a continuous sentinel surveillance in 2010-2022.Frontiers in public health · 2024Article
- The first local case of mpox caused by an imported case in the Chinese mainland.Biosafety and health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMen who have sex with men (MSM) are at high risk for HIV infection. Accurate estimation of the population size and monitoring the risk sexual behavioral change of MSM is of great importance to develop targeted HIV prevention and interventions.
objectiveThe goal of the research was accurate estimation of the population size and monitoring the risk sexual behavioral change of MSM.
methodsStreet interception investigation methods were conducted among males aged 16 years and older in selected sites in Shenzhen in 2014 and 2019. A population survey was used to estimate the population size of MSM. Logistic regression analysis was applied to evaluate the difference in behavioral characteristics in MSM from 2014 to 2019.
resultsIn this study, we surveyed 10,170 participants in 2014, of whom 448 (4.41%, 95% CI 4.01%-4.80%) participants were men who have ever had sex with another man (MSMe) and 229 (2.25%, 95% CI 1.96%-2.54%) were men who had sex with another man in the previous 6 months (MSMa). A total of 10,226 participants were surveyed in 2019, of which 500 (4.90%, 95% CI 4.47%-5.31%) and 208 (2.03%, 95% CI 1.76%-2.31%) participants were MSMe and MSMa, respectively. The results showed that the population size of MSM who are active (MSMa) in Shenzhen was 155,469 (2.29%, 95% CI 2.28%-2.30%) in 2014 and 167,337 (2.05%, 95% CI 2.04%-2.06%) in 2019. It was estimated that there were about 12,005,445 (2.04%, 95% CI 2.04%-2.04%) MSMa in China in 2019. Compared with 2014, the MSMa in 2019 were more likely to seek sex partners through mobile phone apps and less likely to have male and female sex partners in addition to having inconsistent condom use and more than 6 sex partners in the previous 6 months.
conclusionsIn Shenzhen, the proportion of MSMa among the general male population was lower in 2019 than in 2014, and the prevalence of HIV risk behavior was reduced in 2019. Although the preferred platform to find male sex partners among MSM has changed, intervention with high-HIV risk MSM could still help to reduce HIV risk behaviors among the whole MSM group. Because MSM prefer to seek sex partners through mobile phone apps, further study is needed to strengthen internet interventions with high-HIV risk MSM to curb the spread of HIV.
Indexed as
Identifiers
What OpenQuestion holds
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.