Patterns of lifetime and recent HIV testing among men who have sex with men in New York City who use Grindr.
Rates of HIV infection continue to rise for men who have sex with men (MSM), and may be partially due to lack of testing among groups at risk for HIV. Mobile applications have demonstrated promise to identify at-risk MSM, though more research is needed to address testing patterns among this population. We conducted an online survey of 1,351 MSM in the New York City (NYC) area recruited from Grindr and analyzed predictors of lifetime and past-year testing using Pearson's chi-squared statistic, Fisher's exact tests, and logistic regression. A majority (90 %) of men had been tested within their lifetimes, and most (71 %) had been tested within the prior year. Among those who had never been tested (n = 135), one-third had engaged in unprotected anal intercourse (UAI) in the prior 3 months and nearly one-third identified themselves as HIV-negative rather than unknown. Older age, reporting an HIV-negative (versus unknown) status, and recent UAI were independently associated with lifetime testing. Greater proportions of men who had recently engaged in UAI reported testing within the past year compared with those who had not engaged in UAI. Overall, rates of testing among MSM in this sample exceeded those of the general population, including the general population in NYC. A greater proportion of this sample had never tested compared to a population-based sample of NYC MSM, though a higher percentage had also tested in the past year. This study demonstrated that 1 in 10 NYC men using Grindr and 1 in 5 who were 18-24 years of age had never received an HIV test in their lives. Using the existing infrastructure and popularity of mobile technology such as Grindr to identify and link men to information regarding HIV testing may be a useful strategy for prevention.
Basic and Applied Social Psychology Doctoral Program, The Graduate Center of the City University of New York (CUNY), New York, NY, USA.
H Jonathon
HJ
Rendina
Ruben H
RH
Jimenez
Christian
C
Grov
Ana
A
Ventuneac
Jeffrey T
JT
Parsons
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D016009:Chi-Square Distribution; D003430:Cross-Sectional Studies; D015658:HIV Infections / Q000175:diagnosis* / Q000453:epidemiology / Q000517:prevention & control; D007722:Health Knowledge, Attitudes, Practice; D054624:Health Status Disparities; D006306:Health Surveys; D018451:Homosexuality, Male / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008403:Mass Screening / Q000379:methods; D063731:Mobile Applications; D009519:New York City / Q000453:epidemiology; D012725:Sexual Behavior / Q000208:ethnology / Q000706:statistics & numerical data; D012747:Sexual Partners; D061108:Social Media / Q000706:statistics & numerical data; D060756:Social Networking; D019966:Substance-Related Disorders / Q000453:epidemiology; D011795:Surveys and Questionnaires; D055815:Young Adult