Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study
<h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites i...
Ausführliche Beschreibung
Autor*in: |
Ellis Jaewon Yeo [verfasserIn] Khuthadzo Hlongwane [verfasserIn] Kennedy Otwombe [verfasserIn] Kathryn L. Hopkins [verfasserIn] Ebrahim Variava [verfasserIn] Neil Martinson [verfasserIn] Steffanie A. Strathdee [verfasserIn] Jenny Coetzee [verfasserIn] Minja Milovanovic [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: PLoS ONE - Public Library of Science (PLoS), 2007, 17(2022), 1 |
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Übergeordnetes Werk: |
volume:17 ; year:2022 ; number:1 |
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Katalog-ID: |
DOAJ086611186 |
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520 | |a <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. | ||
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(DE-627)DOAJ086611186 (DE-599)DOAJeca274f2eb714156ab021a2863f7d62e DE-627 ger DE-627 rakwb eng Ellis Jaewon Yeo verfasserin aut Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. Medicine R Science Q Khuthadzo Hlongwane verfasserin aut Kennedy Otwombe verfasserin aut Kathryn L. Hopkins verfasserin aut Ebrahim Variava verfasserin aut Neil Martinson verfasserin aut Steffanie A. Strathdee verfasserin aut Jenny Coetzee verfasserin aut Minja Milovanovic verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 1 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:1 https://doaj.org/article/eca274f2eb714156ab021a2863f7d62e kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782394/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 1 |
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(DE-627)DOAJ086611186 (DE-599)DOAJeca274f2eb714156ab021a2863f7d62e DE-627 ger DE-627 rakwb eng Ellis Jaewon Yeo verfasserin aut Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. Medicine R Science Q Khuthadzo Hlongwane verfasserin aut Kennedy Otwombe verfasserin aut Kathryn L. Hopkins verfasserin aut Ebrahim Variava verfasserin aut Neil Martinson verfasserin aut Steffanie A. Strathdee verfasserin aut Jenny Coetzee verfasserin aut Minja Milovanovic verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 1 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:1 https://doaj.org/article/eca274f2eb714156ab021a2863f7d62e kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782394/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 1 |
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(DE-627)DOAJ086611186 (DE-599)DOAJeca274f2eb714156ab021a2863f7d62e DE-627 ger DE-627 rakwb eng Ellis Jaewon Yeo verfasserin aut Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. Medicine R Science Q Khuthadzo Hlongwane verfasserin aut Kennedy Otwombe verfasserin aut Kathryn L. Hopkins verfasserin aut Ebrahim Variava verfasserin aut Neil Martinson verfasserin aut Steffanie A. Strathdee verfasserin aut Jenny Coetzee verfasserin aut Minja Milovanovic verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 1 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:1 https://doaj.org/article/eca274f2eb714156ab021a2863f7d62e kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782394/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 1 |
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(DE-627)DOAJ086611186 (DE-599)DOAJeca274f2eb714156ab021a2863f7d62e DE-627 ger DE-627 rakwb eng Ellis Jaewon Yeo verfasserin aut Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. Medicine R Science Q Khuthadzo Hlongwane verfasserin aut Kennedy Otwombe verfasserin aut Kathryn L. Hopkins verfasserin aut Ebrahim Variava verfasserin aut Neil Martinson verfasserin aut Steffanie A. Strathdee verfasserin aut Jenny Coetzee verfasserin aut Minja Milovanovic verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 1 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:1 https://doaj.org/article/eca274f2eb714156ab021a2863f7d62e kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782394/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 1 |
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(DE-627)DOAJ086611186 (DE-599)DOAJeca274f2eb714156ab021a2863f7d62e DE-627 ger DE-627 rakwb eng Ellis Jaewon Yeo verfasserin aut Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. Medicine R Science Q Khuthadzo Hlongwane verfasserin aut Kennedy Otwombe verfasserin aut Kathryn L. Hopkins verfasserin aut Ebrahim Variava verfasserin aut Neil Martinson verfasserin aut Steffanie A. Strathdee verfasserin aut Jenny Coetzee verfasserin aut Minja Milovanovic verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 1 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:1 https://doaj.org/article/eca274f2eb714156ab021a2863f7d62e kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782394/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 1 |
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Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study |
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Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study |
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Ellis Jaewon Yeo Khuthadzo Hlongwane Kennedy Otwombe Kathryn L. Hopkins Ebrahim Variava Neil Martinson Steffanie A. Strathdee Jenny Coetzee Minja Milovanovic |
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key risk factors for substance use among female sex workers in soweto and klerksdorp, south africa: a cross-sectional study |
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Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study |
abstract |
<h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. |
abstractGer |
<h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. |
abstract_unstemmed |
<h4<Introduction</h4< Sex workers in South Africa experience high levels of trauma and mental health issues, but little is known about their drug and alcohol use. This study assessed the prevalence of substance use and its key risk factors amongst female sex workers (FSWs) at two sites in South Africa. <h4<Methods</h4< Two cross-sectional studies were conducted, in Soweto and Klerksdorp, South Africa. Using respondent-driven sampling (RDS) 508 FSWs in Soweto and 156 in Klerksdorp were enrolled. A study-specific survey was used to collect social and demographic information, substance use, mental ill-health, and HIV status. Raw and RDS-adjusted data were analyzed using Chi-squared tests of association. Weighted and unweighted Poisson regression models were used to assess key risk factors for alcohol and drug use at both univariate and multivariate levels. <h4<Results</h4< Of the 664 FSWs, 56.2% were binge drinkers and 29.4% reported using drugs within the last year. Living in a home with regular food (RR: 1.2597, 95% CI: 1.1009–1.4413) and being HIV positive (RR: 1.1678, 95% CI: 1.0227–1.3334) were associated with a higher risk of binge drinking. Having symptoms suggestive of post-traumatic stress disorder (RR: 1.1803, 95% CI: 1.0025–1.3895) and past year physical/sexual abuse from either intimate (RR: 1.3648, 95% CI: 1.1522–1.6167) or non-intimate partners (RR: 1.3910, 95% CI: 1.1793–1.6407) were associated with a higher risk of drug use. <h4<Discussion</h4< In conclusion, our findings demonstrate a high prevalence of alcohol and drug use among FSWs in Soweto and Klerksdorp with site-specific contextual dynamics driving substance use. Site differences highlight the importance of tailoring site-specific substance use harm mitigation for this key population. |
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Key risk factors for substance use among female sex workers in Soweto and Klerksdorp, South Africa: A cross-sectional study |
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score |
7.4018965 |