Prevalence of Human Immunodeficiency Virus (HIV), Risk Behavior, and Recent Substance Use in a Sample of Urban Drug Users: Findings by Race and Sex

To assess HIV risk behavior, beliefs, attitudes and intentions among HIV-seropositive drug users (DUs), we studied 122 HIV-positive DUs (including ninety-five current injectors) participating in a longitudinal HIV-study among DUs in Amsterdam. All were familiar with their serostatus. Over a period of four months, 20% of the sample put others at risk of HIV infection, mainly through unsafe sex. Forty-nine percent think they might infect someone with HIV in the future, again mainly through unsafe sex. Although the majority intends to use condoms, self-efficacy and response efficacy is low; that is, many do not think they are able to use condoms when necessary and many have limited confidence in the efficacy of condoms in preventing HIV transmission. Correlates of HIV risk behavior were non-Dutch nationality and being a female prostitute. The results suggest that, next to efforts which aim to prevent new infections among HIV-negative injectors or sexual partners of injectors, prevention efforts should focus on HIV-seropositive DUs or former DUs.

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Needle-sharing among young IV drug users and their social network members: The influence of the injection partner's characteristics on HIV risk behavior

Addictive Behaviors ◽

10.1016/j.addbeh.2005.12.007 ◽

2006 ◽

Vol 31 (9) ◽

pp. 1607-1618 ◽

Cited By ~ 58

Author(s):

Jennifer B. Unger ◽

Michele D. Kipke ◽

Christine J. De Rosa ◽

Justeen Hyde ◽

Anamara Ritt-Olson ◽

...

Keyword(s):

Social Network ◽

Risk Behavior ◽

Hiv Risk ◽

Drug Users ◽

Hiv Risk Behavior ◽

Needle Sharing

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HIV-Risk Behavior Among Injecting or Non-Injecting Drug Users in Cape Town, Pretoria, and Durban, South Africa

Substance Use & Misuse ◽

10.1080/10826080802487028 ◽

2009 ◽

Vol 44 (6) ◽

pp. 886-904 ◽

Cited By ~ 20

Author(s):

Charles D. H. Parry ◽

Tara Carney ◽

Petal Petersen ◽

Sarah Dewing ◽

Richard Needle

Keyword(s):

South Africa ◽

Risk Behavior ◽

Hiv Risk ◽

Drug Users ◽

Cape Town ◽

Injecting Drug Users ◽

Hiv Risk Behavior

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1961. Grindr™ on Screen Activity on iPhones Correlates with HIV Risk and Substance Use in Men Who Have Sex with Men, San Diego

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz359.138 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S63-S64 ◽

Cited By ~ 1

Author(s):

Martin Hoenigl ◽

Susan J Little ◽

Jamila K Stockman ◽

Britt Skaathun ◽

David Grelotti ◽

...

Keyword(s):

Substance Use ◽

Risk Behavior ◽

Hiv Risk ◽

San Diego ◽

Screening Program ◽

Objective Measure ◽

The United States ◽

Hiv Risk Behavior ◽

Substance Users ◽

Sex With Men

Abstract Background Technology has changed the way men-who-have-sex-with-men (MSM) seek sex; ≥60% of MSM in the United States use the internet to find sex partners, primarily via Grindr™ which is the most used dating app among MSM. Studies to date have mostly evaluated Grindr™ use as a dichotomous variable and found inconsistent results regarding associations with increased HIV risk behavior. Importantly, Grindr™ “on-screen” activity is monitored by phones and can provide an objective measure of app usage. Here we aimed to assess Grindr™ “on-screen” activity in MSM undergoing community-based HIV and sexually transmitted infection (STI) screening in San Diego, and to correlate activity with sexual risk behavior and substance use. Methods This nested cohort study was conducted between December 2018 and April 2019 and leveraged our “Good to Go” (AI106039) screening program for participant recruitment. During their testing encounter participants not on HIV PrEP were provided with surveys on demographics, substance use and risk behavior during previous 3 months, and Grindr™ usage. Participants with iPhones were instructed on how to assess Grindr™ on-screen activity (i.e., time on-screen during last 7 days) on their phones (Figure 1). Risk behavior was classified using the validated San Diego Early Test (SDET) Score (Figure 2). Results Overall 378/784 (48%) MSM participants indicated that they had opened Grindr™ during the previous 7 days. Grindr™ users had higher SDET scores than those not using Grindr™ (median SDET 2, IQR 0–5; mean 2.29) while there was no difference in proportion of substance users (alcohol and marijuana excluded, 21% vs. 17%; P = 0.14). Of 231 MSM who indicated recent Grindr™ use (61%) had iPhones; median on-screen activity during the previous 7 days was 144 minutes (range 1–2,640 minutes). Participants with high Grindr™ utilization (>80th percentile of time on screen corresponding to >480 minutes), had significantly higher SDET scores (median 5 vs. 2; mean 4.02 vs. 3.26; P < 0.001) and a tendency toward a higher proportion of substance users (29% vs. 20%) than those with lower Grindr™ utilization. Conclusion This study introduces Grindr™ on-screen activity as an objective measure that can help identify MSM at high risk for HIV. Disclosures All Authors: No reported Disclosures.

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