HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration.

Autor:	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.
Předmět:	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
Zdroj:	Healthcare (2227-9032); Apr2023, Vol. 11 Issue 8, p1066, 13p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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