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- Title
HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration.
- Authors
Johnson, Karen A.; Hunt, Timothy; Puglisi, Lisa; Chapman, Ben; Epa-Llop, Amali; Elumn, Johanna; Braick, Peter; Bhagat, Navya; Ko, Elizabeth; Nguyen, Antoinette; Johnson, Rachel; Graham, Heather K.; Gilbert, Louisa; El-Bassel, Nabila; Morse, Diane S.
- Abstract
This study examines cross-sectional clusters and longitudinal predictions using an expanded SAVA syndemic conceptual framework—SAVA MH + H (substance use, intimate partner violence, mental health, and homelessness leading to HIV/STI/HCV risks)—among women recently released from incarceration (WRRI) (n = 206) participating in the WORTH Transitions (WT) intervention. WT combines two evidence-based interventions: the Women on the Road to Health HIV intervention, and Transitions Clinic. Cluster analytic and logistic regression methods were utilized. For the cluster analyses, baseline SAVA MH + H variables were categorized into presence/absence. For logistic regression, baseline SAVA MH + H variables were examined on a composite HIV/STI/HCV outcome collected at 6-month follow-up, controlling for lifetime trauma and sociodemographic characteristics. Three SAVA MH + H clusters were identified, the first of which had women with the highest overall levels of SAVA MH + H variables, 47% of whom were unhoused. Hard drug use (HDU) was the only significant predictor of HIV/STI/HCV risks in the regression analyses. HDUs had 4.32-fold higher odds of HIV/STI/HCV outcomes than non-HDUs (p = 0.002). Interventions such as WORTH Transitions must differently target identified SAVA MH + H syndemic risk clusters and HDU to prevent HIV/HCV/STI outcomes among WRRI.
- Subjects
HEPATITIS C risk factors; HIV infection risk factors; SUBSTANCE abuse risk factors; SEXUALLY transmitted disease risk factors; RISK-taking behavior; CLUSTER sampling; STATISTICS; ADVERSE childhood experiences; PRISON psychology; EVALUATION of human services programs; SELF-evaluation; INDEPENDENT variables; MULTIPLE regression analysis; AGE distribution; CROSS-sectional method; REGRESSION analysis; POST-traumatic stress disorder; RACE; MENTAL health; RISK assessment; MATHEMATICAL variables; SURVEYS; CRONBACH'S alpha; INTIMATE partner violence; HUMAN services programs; PSYCHOLOGY of women; RESEARCH funding; DESCRIPTIVE statistics; SOCIODEMOGRAPHIC factors; DATA analysis software; HOMELESSNESS; LONGITUDINAL method; WOMEN'S health; PSYCHOSOCIAL factors
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 8, p1066
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11081066