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1.
Arch Sex Behav ; 46(4): 913-924, 2017 May.
Article in English | MEDLINE | ID: mdl-26699737

ABSTRACT

We investigated the psychosocial mechanisms linking personal and contextual risk factors to HIV-related behavior among 498 rural Black men. We characterized HIV-related behavior in terms of profile groups and hypothesized that contextual and personal risk factors (childhood adversity, community disadvantage, incarceration, and racial discrimination) would predict HIV-related behavior indirectly via two psychosocial mechanisms: impulsivity and negative relational schemas. Study results documented three HIV-related behavior profile groups. The Safer group reported low levels of risky behavior. The Risk-Taking group reported inconsistent condom use and elevated substance use. The Multiple Partners group reported the highest numbers of partners and relatively consistent condom use. Risk factors predicted profile groups directly and indirectly through psychosocial mechanisms. Impulsivity mediated the association between community disadvantage and membership in the risk-taking group. Negative relational schemas mediated the associations of childhood experiences and community disadvantage with membership in the multiple partners group. Specificity in pathways suggests the need for targeted interventions based on multidimensional characterizations of risk behavior.


Subject(s)
Black or African American , HIV Infections/epidemiology , Heterosexuality , Rural Population/statistics & numerical data , Unsafe Sex , Adult , Black or African American/psychology , Black or African American/statistics & numerical data , Cross-Sectional Studies , Heterosexuality/psychology , Heterosexuality/statistics & numerical data , Humans , Male , Risk Factors , Unsafe Sex/psychology , Unsafe Sex/statistics & numerical data , Young Adult
2.
Public Health Rep ; 130(4): 392-9, 2015.
Article in English | MEDLINE | ID: mdl-26345725

ABSTRACT

OBJECTIVE: We investigated the social, behavioral, and psychological factors associated with concurrent (i.e., overlapping in time) sexual partnerships among rural African American young men with a primary female partner. METHODS: We recruited 505 men in rural areas of southern Georgia from January 2012 to August 2013 using respondent-driven sampling; 361 reported having a primary female partner and participating only in heterosexual sexual activity. Men provided data on their demographic characteristics and HIV-related risk behaviors, as well as social, behavioral, and psychological risk factors. RESULTS: Of the 361 men with a primary female partner, 164 (45.4%) reported concurrent sexual partners during the past three months. Among the 164 men with a concurrent sexual partner, 144 (92.9%) reported inconsistent condom use with their primary partners, and 68 (41.5%) reported using condoms inconsistently with their concurrent partners. Having concurrent sexual partnerships was associated with inconsistent condom use, substance use before sex, and self-reported sexually transmitted infections (STIs). Bivariate correlates of concurrent sexual partnerships included incarceration, substance use, early onset of sexual activity, impulsive decision-making, and masculinity attitudes (i.e., men's adherence to culturally defined standards for male behavior). In a multivariate model, both masculinity ideology and impulsive decision-making independently predicted concurrent sexual partnerships independent of other risk factors. CONCLUSION: Masculinity attitudes and impulsive decision-making are independent predictors of concurrent sexual partnerships among rural African American men and, consequently, the spread of HIV and other STIs. Developing programs that target masculinity attitudes and self-regulatory skills may help to reduce concurrent sexual partnerships.


Subject(s)
Black or African American , Condoms/statistics & numerical data , Rural Population , Sexual Behavior/ethnology , Sexual Behavior/psychology , Age Factors , Decision Making , Georgia/epidemiology , Humans , Male , Masculinity , Risk Factors , Sexually Transmitted Diseases/ethnology , Socioeconomic Factors , Substance-Related Disorders/ethnology , Young Adult
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