Resilience among Gay/Bisexual Young Men in Western Kenya: Psychosocial & Sexual Health Outcomes
OBJECTIVE:
To
explore associations between intrapersonal and interpersonal factors and both
sexual and psychosocial resilient outcomes among young gay, bisexual, and other
men who have sex with men (GBMSM) in Western Kenya.
DESIGN:
Cross-sectional
observational study.
METHODS:
Five
hundred and eleven GBMSM ages 18-29 were recruited from nine communities in
Western Kenya using community-based mobilization strategies. Participants
completed an audio computer-assisted self-interview survey in English or
Duhluo. We estimated four three-step hierarchical linear regression models to
examine associations between predictors (intrapersonal and interpersonal
factors) and four resilient outcomes (psychological well-being, self-esteem,
condom use, HIV testing).
RESULTS:
Psychosocial
well-being model (modeled conversely as depression/anxiety) was significant with loneliness,
lesbian/gay/bisexual (LGB) difficult process, LGB identity superiority, and
reactions to trauma as predictors. Self-esteem model was significant with known HIV-seropositivity,
perceived social support, internalized homonegativity, and LGB difficult
process as predictors. Condom use model was significant with perceived social support, self-esteem, and
reactions to trauma as predictors. HIV testing model was significant with loneliness, LGB identity
uncertainty, LGB difficult process, and LGB identity superiority as predictors.
CONCLUSION:
This
study demonstrates the variety of ways in which intrapersonal and interpersonal
factors are associated with HIV-related resilient outcomes for young GBMSM in
Western Kenya. HIV prevention programs for this population should be developed
in collaboration with GBMSM and include intervention components that promote
resilience.
- 1aDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA bNyanza Rift Valley and Western Kenya (NYARWEK) Network cNyanza Reproductive Health Society, Kisumu, Kenya dSchool of Medicine, Maseno University eDivision of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health.
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