High-Risk Behaviors Among Men Who Have Sex With Men in 6 US Cities: Baseline Data From the EXPLORE Study

Koblin, Beryl A.; Chesney, Margaret A.; Husnik, Marla; Bozeman, Sam; Celum, Connie; Buchbinder, Susan; Mayer, Kenneth H.; McKirnan, David J.; Judson, Franklyn N.; Huang, Yijian; Coates, Thomas J.

doi:10.2105/ajph.93.6.926

Cited by 305 publications

(252 citation statements)

References 26 publications

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“…For instance, the influence of regular sex partners, as previously reported (Koblin et al, 2003;McLean et al, 1994;Parsons & Bimbi, 2007;Semple, Patterson, & Grant, 2003) on unsafe sexual behaviours of MSM was confirmed in the results of this study. Similarly, judgemental behaviours or shaming and blaming reactions of medical doctors towards MSM's sexual orientation were a hindrance for MSM individuals to accessing health services.…”

Section: Discussionsupporting

confidence: 89%

Exploring Determinants of Unprotected Sexual Behaviours Favouring HIV Transmission among Men who Have Sex with Men in Yogyakarta, Indonesia

Fauk¹,

Crutzen

Merry³

et al. 2017

GJHS

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A qualitative inquiry using individual interviews explored determinants of unprotected sexual behaviours favouring HIV transmission among Men who Have sex with Men (MSM) in Yogyakarta, Indonesia. The study was conducted in July 2015 with 24 MSM participants recruited using convenience sampling technique. Data were analysed using a qualitative data analysis framework, with the Social Cognitive Theory (SCT) employed as the study conceptual framework. Findings were grouped into a reciprocal triadic relationship involving behavioural, personal (cognitive) and environmental determinants. Behavioural determinants comprised having multiple casual sex partners, engagement in group sex and transactional sex practices. Environmental factors associated with unprotected sexual behaviours included influence of unsafe sex from regular partners and lack of access to HIV-related services. Personal (cognitive) determinants favouring unprotected sexual behaviours identified were lack of knowledge of condom and HIV/AIDS, individuals' expectation of pleasurable sexual intercourse, and low self-efficacy to discuss condom use and HIV status with casual sex partners. As effort to address HIV in MSM in Indonesia is still at its infancy, the findings of the current study are insightful and will inform the development of evidence-based programs in addressing HIV/AIDS problem in MSM populations in Yogyakarta and other similar settings.

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Section: Discussionsupporting

confidence: 89%

Exploring Determinants of Unprotected Sexual Behaviours Favouring HIV Transmission among Men who Have Sex with Men in Yogyakarta, Indonesia

Fauk¹,

Crutzen

Merry³

et al. 2017

GJHS

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show abstract

“…15,19 In San Francisco, most EXPLORE participants were white, non-Latino, although nearly one third of the sample were non-white (Table 1). Most participants had college degrees, and more than two thirds reported an annual LONGITUDINAL PATTERNS OF DRUG USE i65 income of $30,000/year or more.…”

Section: Resultsmentioning

confidence: 99%

“…Details of the entire EXPLORE cohort have been previously described in detail 15 ; this analysis is limited to San Francisco participants. From January 1999 to February 2001, eligible men in San Francisco who were HIV antibody-negative were recruited for the study.…”

Section: Study Populationmentioning

confidence: 99%

Longitudinal Patterns of Methamphetamine, Popper (Amyl Nitrite), and Cocaine Use and High-Risk Sexual Behavior Among a Cohort of San Francisco Men Who Have Sex with Men

Colfax

Coates

Husnik

et al. 2005

Journal of Urban Health: Bulletin of the New York Academy of Me

245

188

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“…For example, Paul, Stall, Crosby, Barrett, and Midanik (1994) and Craib et al (2000) evaluated whether the partner was "primary" or "non primary." Koblin et al (2003) and Osmond et al (2007) took into account the partner's HIV status (with the latter researchers categorizing unprotected behavior as "serodiscortant" risk to either the insertive or receptive partner).…”

Section: Introductionmentioning

confidence: 99%

Measuring Sexual Risk for HIV: A Rasch Scaling Approach

et al. 2008

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In this study, we developed an HIV transmission risk scale and examined its psychometric properties using data on sexual behavior obtained from a probability sample of adult men who have sex with men living in Chicago. We used Messick's (Am Psychol 50:741-749, 1995) conceptualization of unified validity theory to organize the psychometric properties of data. Evidence related to scale content was investigated via Rasch item fit statistics, point-measure correlations, and expert evaluation. The substantive aspect of validity was addressed by interpreting the meaningfulness of the item difficulty hierarchy (continuum of risky behaviors) and assessment of person fit. The structural aspect of validity was assessed using Rasch item fit statistics, principal component analysis of standardized residuals, and other residual analyses. The generalizability aspect of validity was investigated via internal consistency reliability estimates for both items and persons, and aspects of external validity were addressed by examining betweengroup differences with respect to levels of risky behavior. Applications and suggested future studies are discussed.

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High-Risk Behaviors Among Men Who Have Sex With Men in 6 US Cities: Baseline Data From the EXPLORE Study

Abstract: Our findings support the continued need for effective intervention strategies for MSM that address relationship status, serostatus of partners, and drug and alcohol use.

Cited by 305 publications

References 26 publications

Exploring Determinants of Unprotected Sexual Behaviours Favouring HIV Transmission among Men who Have Sex with Men in Yogyakarta, Indonesia

Exploring Determinants of Unprotected Sexual Behaviours Favouring HIV Transmission among Men who Have Sex with Men in Yogyakarta, Indonesia

Longitudinal Patterns of Methamphetamine, Popper (Amyl Nitrite), and Cocaine Use and High-Risk Sexual Behavior Among a Cohort of San Francisco Men Who Have Sex with Men

Measuring Sexual Risk for HIV: A Rasch Scaling Approach

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