This study assessed the perceived importance of five health issues for gay and bisexual men (N = 660) using time-space sampling in gay bars/clubs and bathhouses in New York City: "HIV & STDs," "Drugs & Alcohol," "Body Image," "Mental Health," and "Smoking." This study compared ratings based on demographic differences, recent substance use, recent sexual risk behavior, and whether or not participants owned a smart device (e.g., "smart" phone, iPad, iPod touch). Contrary to research indicating that gay and bisexual men may be experiencing HIV prevention fatigue, this study identified that HIV and STIs were perceived as most important. Drugs and alcohol and mental health were also rated high, suggesting that providers may be well served to include mental health and drugs and alcohol as part of their comprehensive approach to HIV prevention. A majority of participants (72%) owned a smart device. Smart device owners rated health issues similarly to those who did not, suggesting that such devices may be a useful platform to reach gay and bisexual men for health education and prevention.
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http://dx.doi.org/10.1177/1557988312463419 | DOI Listing |
J Disabil Policy Stud
March 2025
University of New Hampshire, Durham, USA.
The 2021 Household Pulse Survey (HPS) was examined as it relates to coronavirus disease 2019 (COVID-19) and the impact on employment for the lesbian, gay, bisexual, and transgender (LGBT) community and members with disabilities. The purpose of the study was to understand the effect of COVID-19 on both groups as it relates to employment, specifically focusing on work loss. In analyzing the HPS, the population of the LGBT community was estimated as 7.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Department of Medicine, Health, and Society, Vanderbilt University, Nashville, Tennessee, USA.
Objectives: Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) older adults have varied experiences with faith communities, ranging from affirmation to religious trauma. We investigate how faith community rejection impacts social support and health outcomes among LGBTQ+ older adults in the Southern United States.
Methods: We analyze Wave 1 data from the LGBTQ+ Social Networks, Aging, and Policy Study (QSNAPS), collected between April 2020 and September 2021.
Introduction: The mental health of gay and bisexual men (GBM) who use pre-exposure prophylaxis (PrEP) may be negatively impacted by experiences of stigma.
Methods: To assess the relationship between stigma and mental health among GBM who use PrEP in Guatemala, we conducted a survey with 162 PrEP users recruited in a community-based PrEP clinic.
Results: In multiple linear regression analyses, greater internalized (ß=1.
PEC Innov
June 2025
University of Rhode Island, 142 Flagg Road, Chafee Hall, Department of Psychology, Kingston, RI 02881, USA.
In the rapidly evolving field of healthcare research, Artificial Intelligence (AI) and conversational models like ChatGPT (Conversational Generative Pre-trained Transformer) offer promising tools for data analysis. The aim of this study was to: 1) apply ChatGPT methodology alongside human coding to analyze qualitative health services feedback, and 2) examine healthcare experiences among lesbian, gay, bisexual, transgender, and queer (LGBTQ+) patients ( = 41) to inform future intervention. The hybrid approach facilitated the identification of themes related to affirming care practices, provider education, communicative challenges and successes, and environmental cues.
View Article and Find Full Text PDFPeer support from social networks of gay, bisexual, and other men who have sex with men (GBMSM) has been recognised as a critical driver of engagement with HIV prevention. Using data from an online cross-sectional survey of 1,032 GBMSM aged 18 or over in Australia, a latent class analysis was conducted to categorise participants based on social support, LGBTQ + community involvement, and social engagement with gay men and LGBTQ + people. Comparisons between classes were assessed using multivariable multinomial logistic regression.
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