Assessing the Determinants of Quality of Life and the Impact on HIV Prevention Measures among HIV-Negative and Status-Unknown Young Men Who Have Sex with Men: A Study in Two U.S. Metropolitan Areas.
Yu LiuSavanah RussJason William MitchellSarahmona PrzybylaChen ZhangPublished in: International journal of environmental research and public health (2022)
Young men who have sex with men (YMSM) in the United States (U.S.) are disproportionally burdened by HIV and experience adverse social determinants of health. Minimal research has examined quality of life (QoL) and psychosocial/behavioral determinants among HIV-negative or status-unknown YMSM. We conducted a study with YMSM from two U.S. cities to assess their QoL scores, and whether specific QoL domains (e.g., physical, psychological, social, and environment) were associated with their demographics, psychosocial determinants, behavioral risk factors, and HIV prevention measures. Black YMSM, YMSM of low socioeconomic status (below high school education, income < $20,000, and lack of health insurance), and YMSM who did not disclose their sexual orientation had the lowest QoL scores across all domains. Substance use and unprotected anal intercourse were negatively associated with men's physical/psychosocial health. Housing/food instability and perceived stress were among the strongest predictors of lower QoL in all domains. Higher physical/psychological and environment QoL scores were associated with a higher likelihood of HIV testing and PrEP use. The identification of YMSM within these demographic, behavioral, and psychosocial sub-groups is important for targeted intervention to enhance their well-being and engagement with HIV prevention.
Keyphrases
- men who have sex with men
- hiv testing
- mental health
- hiv positive
- health insurance
- mental illness
- physical activity
- healthcare
- risk factors
- randomized controlled trial
- public health
- middle aged
- high school
- social media
- sleep quality
- depressive symptoms
- hepatitis c virus
- affordable care act
- adverse drug
- bioinformatics analysis