ArticleAIDS and behavior2025
Geosocial-networking App Use Among Men who Have Sex with Men in High HIV Community Viral Load Areas of Baltimore City.
Article in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Geosocial networking applications (GSN apps) are important tools for HIV/sexually transmitted infection prevention among men who have sex with men (MSM). Strategies for identifying high transmission and acquisition among GSN app users are needed to prioritize public health response. Community viral load (CVL) is associated with HIV transmission and can be used to identify populations with behaviors/environment associated with HIV/STI risk. We sought to determine user profile characteristics and utilization patterns associated with GSN app use in high CVL census tracts (CT). We used routine HIV surveillance data from in-care individuals and their viral loads at the point of diagnosis to estimate CVL in 200 CTs across Baltimore City. CTs were ordered based on CVL and categorized into quantiles from high to low. Among GSN user profiles, multiple imputation methods were used to complete missing profile characteristics. We then used imputed datasets to explore the association between profile characteristics, app utilization times, and app use in high CVL CTs using a Poisson regression model with robust error variances. Data on 606 profiles were collected originally and imputed 50 times to create a complete data set for analysis. GSN app users were aged 18-65 years [mean = 33.9, 95% confidence interval (CI): 33.1-34.7], with 52.2% Black (95% CI: 47.9- 56.5%), 6.8% living with HIV (95% CI: 4.4- 9.2%), 39.1% in high CVL CTs (95% CI: 35.2- 43.0%), 50.6% use at nighttime (95% CI: 46.7- 54.6%) and 51.6% use during the weekend (95% CI: 47.6- 55.6%). Black MSM users [Relative risk (RR) = 1.12, 95% CI: 1.04-1.20] were associated with GSN app use in high CVL CTs. MSM with profiles listing versatile sex position preference (RR = 1.12, 95% CI: 1.02-1.23) and profiles listing top sex position preference (RR = 1.13, 95% CI: 1.03-1.23) were associated with GSN app use in high and medium CVL CTs. GSN app user profiles of people in high and medium CVL CTs, especially Black MSM and those who report top and versatile sexual positions, may benefit from online prevention messages and real-time notification of health resources presently available in their communities to reduce HIV transmission.
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.