Age differences in sexual risk behaviors and related factors among people living with HIV in Guangxi, China. Issue 4 (3rd April 2018)

• Record Type: Journal Article
• Authors: Zhao, Qun; Mao, Yuchen; Li, Xiaoming; Shen, Zhiyong; Zhou, Yuejiao
• Is Part Of: AIDS care. Volume 30:Issue 4(2018)
• Page Start: 523
• Page End: 530
• Publication Date: 2018-04-03
• Subjects: Sexual risk behavior -- age difference -- people living with HIV -- China; AIDS (Disease) -- Social aspects -- Periodicals; AIDS (Disease) -- Psychological aspects -- Periodicals; AIDS (Disease) -- Patients -- Care -- Periodicals; Acquired Immunodeficiency Syndrome; 362.1969792
• DOI: 10.1080/09540121.2018.1429560
• Languages: English
• ISSNs: 0954-0121

Abstract

ABSTRACT: Sexual risk behaviors by people living with HIV (PLHIV) can result in secondary HIV transmission and other health problems. Given the dearth of research on age differences in sexual behaviors among PLHIV, the objective of the study is to compare sexual risk behaviors and related factors among PLHIV by age groups. Data used in the current study were derived from a cross-sectional survey conducted from 2012 to 2013 in Guangxi, China. PLHIV were selected randomly from 12 sites with the largest number of HIV/AIDS cases. The 2, 987 PLHIV completing the survey were included in the study. Participants were asked about key sociodemographic characteristics, health condition, same-sex behavior, and sexual risk behaviors (number of sex partners, condom use consistency, and change in condom use after HIV diagnosis). Univariate logistic regression analyses were conducted to evaluate associations of sexual risk behaviors with age and other factors. Those variables with a p -value of less than 0.2 were entered into multivariate logistic regression models. All statistical analyses were conducted using SAS 9.4. Differences in sexual risk behaviors across age groups were observed. Compared with their younger counterparts, who were ≥ 50 years of age were more likely to have multiple partners, use condoms inconsistently, and use condoms less than before HIV diagnosis. Moreover, lower education attainment, being in the lowest or highest category of income, having a sero-concordant or sero-unknown steady partner or no steady partner, and having contracted HIV from steady or casual/commercial partners, or through injection drug use appeared to be predictive of at least one of the sexual risk behaviors examined in the study. The findings call for HIV prevention interventions to be tailored to different age groups. The interventions that can help reduce unprotected sex among older PLHIV are urgently needed.