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HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration
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)...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137919/ https://www.ncbi.nlm.nih.gov/pubmed/37107900 http://dx.doi.org/10.3390/healthcare11081066 |
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author | 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. |
author_facet | 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. |
author_sort | Johnson, Karen A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10137919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101379192023-04-28 HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration 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. Healthcare (Basel) Article 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. MDPI 2023-04-07 /pmc/articles/PMC10137919/ /pubmed/37107900 http://dx.doi.org/10.3390/healthcare11081066 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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. HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title | HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title_full | HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title_fullStr | HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title_full_unstemmed | HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title_short | HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration |
title_sort | hiv/sti/hcv risk clusters and hierarchies experienced by women recently released from incarceration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137919/ https://www.ncbi.nlm.nih.gov/pubmed/37107900 http://dx.doi.org/10.3390/healthcare11081066 |
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