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Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study
INTRODUCTION: There are limited data on young people who inject drugs (PWID) from low‐ and middle‐income countries where injection drug use remains a key driver of new HIV infections. India has a diverse injection drug use epidemic and estimates suggest that at least half of PWID are ≤30 years of ag...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6530044/ https://www.ncbi.nlm.nih.gov/pubmed/31116005 http://dx.doi.org/10.1002/jia2.25287 |
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author | Ganapathi, Lakshmi McFall, Allison M Srikrishnan, Aylur K Kumar, Muniratnam S Anand, Santhanam Lucas, Gregory M Mehta, Shruti H Harris, Sion K Solomon, Sunil S |
author_facet | Ganapathi, Lakshmi McFall, Allison M Srikrishnan, Aylur K Kumar, Muniratnam S Anand, Santhanam Lucas, Gregory M Mehta, Shruti H Harris, Sion K Solomon, Sunil S |
author_sort | Ganapathi, Lakshmi |
collection | PubMed |
description | INTRODUCTION: There are limited data on young people who inject drugs (PWID) from low‐ and middle‐income countries where injection drug use remains a key driver of new HIV infections. India has a diverse injection drug use epidemic and estimates suggest that at least half of PWID are ≤30 years of age. We compared injection and sexual risk behaviours and HIV incidence between younger and older PWID and characterized uptake of HIV testing and harm reduction services to inform targeted HIV prevention efforts. METHODS: We analysed cross‐sectional data from 14,381 PWID recruited from cities in the Northeast and North/Central regions of India in 2013 using respondent driven sampling (RDS). We compared “emerging‐adult” (18 to 24 years, 26% of sample) and “young‐adult” PWID (25 to 30 years, 30% of sample) to older PWID (>30 years, 44% of sample) using logistic regression to evaluate factors associated with three recent risk behaviours: needle‐sharing, multiple sexual partners and unprotected sex. We estimated age‐stratified cross‐sectional HIV incidence using a validated multi‐assay algorithm. RESULTS: Compared to older adults, emerging‐adults in the Northeastern states were significantly more likely to share needles (males adjusted odds ratio [aOR] 1.82; females aOR 2.29, p < 0.01), have multiple sexual partners (males aOR 1.56; females aOR 3.75, p < 0.01), and engage in unprotected sex (males aOR 2.29, p < 0.01). In the North/Central states, young‐adult males were significantly more likely to needle‐share (aOR 1.23, p < 0.05) while emerging‐adult males were significantly more likely to have multiple sexual partners (aOR 1.74, p < 0.05). In both regions, emerging‐adults had the lowest HIV testing. Participation in harm reduction services was low across all age groups. Annual HIV incidence was higher in emerging‐ and young‐adult PWID in the North/Central region: emerging‐adults: 4.3% (95% confidence interval [CI] 3.0, 5.6); young‐adults: 4.9% (95% CI 3.7, 6.2); older adults: 2.1% (95% CI 1.4, 2.8). CONCLUSIONS: Higher HIV incidence and engagement in risky behaviours among younger PWID compared to older PWID, coupled with low utilization of harm reduction services highlight the importance of targeting this population in HIV programming. Age‐specific interventions focused on addressing the needs of young PWID are urgently needed to curb the HIV epidemic in this vulnerable population. |
format | Online Article Text |
id | pubmed-6530044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65300442019-05-28 Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study Ganapathi, Lakshmi McFall, Allison M Srikrishnan, Aylur K Kumar, Muniratnam S Anand, Santhanam Lucas, Gregory M Mehta, Shruti H Harris, Sion K Solomon, Sunil S J Int AIDS Soc Research Articles INTRODUCTION: There are limited data on young people who inject drugs (PWID) from low‐ and middle‐income countries where injection drug use remains a key driver of new HIV infections. India has a diverse injection drug use epidemic and estimates suggest that at least half of PWID are ≤30 years of age. We compared injection and sexual risk behaviours and HIV incidence between younger and older PWID and characterized uptake of HIV testing and harm reduction services to inform targeted HIV prevention efforts. METHODS: We analysed cross‐sectional data from 14,381 PWID recruited from cities in the Northeast and North/Central regions of India in 2013 using respondent driven sampling (RDS). We compared “emerging‐adult” (18 to 24 years, 26% of sample) and “young‐adult” PWID (25 to 30 years, 30% of sample) to older PWID (>30 years, 44% of sample) using logistic regression to evaluate factors associated with three recent risk behaviours: needle‐sharing, multiple sexual partners and unprotected sex. We estimated age‐stratified cross‐sectional HIV incidence using a validated multi‐assay algorithm. RESULTS: Compared to older adults, emerging‐adults in the Northeastern states were significantly more likely to share needles (males adjusted odds ratio [aOR] 1.82; females aOR 2.29, p < 0.01), have multiple sexual partners (males aOR 1.56; females aOR 3.75, p < 0.01), and engage in unprotected sex (males aOR 2.29, p < 0.01). In the North/Central states, young‐adult males were significantly more likely to needle‐share (aOR 1.23, p < 0.05) while emerging‐adult males were significantly more likely to have multiple sexual partners (aOR 1.74, p < 0.05). In both regions, emerging‐adults had the lowest HIV testing. Participation in harm reduction services was low across all age groups. Annual HIV incidence was higher in emerging‐ and young‐adult PWID in the North/Central region: emerging‐adults: 4.3% (95% confidence interval [CI] 3.0, 5.6); young‐adults: 4.9% (95% CI 3.7, 6.2); older adults: 2.1% (95% CI 1.4, 2.8). CONCLUSIONS: Higher HIV incidence and engagement in risky behaviours among younger PWID compared to older PWID, coupled with low utilization of harm reduction services highlight the importance of targeting this population in HIV programming. Age‐specific interventions focused on addressing the needs of young PWID are urgently needed to curb the HIV epidemic in this vulnerable population. John Wiley and Sons Inc. 2019-05-22 /pmc/articles/PMC6530044/ /pubmed/31116005 http://dx.doi.org/10.1002/jia2.25287 Text en © 2019 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Ganapathi, Lakshmi McFall, Allison M Srikrishnan, Aylur K Kumar, Muniratnam S Anand, Santhanam Lucas, Gregory M Mehta, Shruti H Harris, Sion K Solomon, Sunil S Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title | Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title_full | Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title_fullStr | Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title_full_unstemmed | Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title_short | Young people who inject drugs in India have high HIV incidence and behavioural risk: a cross‐sectional study |
title_sort | young people who inject drugs in india have high hiv incidence and behavioural risk: a cross‐sectional study |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6530044/ https://www.ncbi.nlm.nih.gov/pubmed/31116005 http://dx.doi.org/10.1002/jia2.25287 |
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