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An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India

BACKGROUND: Personal networks are significant social spaces to spread of HIV or other blood-borne infections among hard-to-reach population, viz., injecting drug users, female sex workers, etc. Sharing of infected needles or syringes among drug users is one of the major routes of HIV transmission in...

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Autores principales: Phukan, Sanjib Kumar, Medhi, Gajendra Kumar, Mahanta, Jagadish, Adhikary, Rajatashuvra, Thongamba, Gay, Paranjape, Ramesh S., Akoijam, Brogen S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496399/
https://www.ncbi.nlm.nih.gov/pubmed/28673303
http://dx.doi.org/10.1186/s12954-017-0171-0
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author Phukan, Sanjib Kumar
Medhi, Gajendra Kumar
Mahanta, Jagadish
Adhikary, Rajatashuvra
Thongamba, Gay
Paranjape, Ramesh S.
Akoijam, Brogen S.
author_facet Phukan, Sanjib Kumar
Medhi, Gajendra Kumar
Mahanta, Jagadish
Adhikary, Rajatashuvra
Thongamba, Gay
Paranjape, Ramesh S.
Akoijam, Brogen S.
author_sort Phukan, Sanjib Kumar
collection PubMed
description BACKGROUND: Personal networks are significant social spaces to spread of HIV or other blood-borne infections among hard-to-reach population, viz., injecting drug users, female sex workers, etc. Sharing of infected needles or syringes among drug users is one of the major routes of HIV transmission in Manipur, a high HIV prevalence state in India. This study was carried out to describe the network characteristics and recruitment patterns of injecting drug users and to assess the association of personal network with injecting risky behaviors in Manipur. METHODS: A total of 821 injecting drug users were recruited into the study using respondent-driven sampling (RDS) from Bishnupur and Churachandpur districts of Manipur; data on demographic characteristics, HIV risk behaviors, and network size were collected from them. Transition probability matrices and homophily indices were used to describe the network characteristics, and recruitment patterns of injecting drug users. Univariate and multivariate binary logistic regression models were performed to analyze the association between the personal networks and sharing of needles or syringes. RESULTS: The average network size was similar in both the districts. Recruitment analysis indicates injecting drug users were mostly engaged in mixed age group setting for injecting practice. Ever married and new injectors showed lack of in-group ties. Younger injecting drug users had mainly recruited older injecting drug users from their personal network. In logistic regression analysis, higher personal network was found to be significantly associated with increased likelihood of injecting risky behaviors. CONCLUSION: Because of mixed personal network of new injectors and higher network density associated with HIV exposure, older injecting drug users may act as a link for HIV transmission or other blood-borne infections to new injectors and also to their sexual partners. The information from this study may be useful to understanding the network pattern of injecting drug users for enriching the HIV prevention in this region.
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spelling pubmed-54963992017-07-05 An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India Phukan, Sanjib Kumar Medhi, Gajendra Kumar Mahanta, Jagadish Adhikary, Rajatashuvra Thongamba, Gay Paranjape, Ramesh S. Akoijam, Brogen S. Harm Reduct J Research BACKGROUND: Personal networks are significant social spaces to spread of HIV or other blood-borne infections among hard-to-reach population, viz., injecting drug users, female sex workers, etc. Sharing of infected needles or syringes among drug users is one of the major routes of HIV transmission in Manipur, a high HIV prevalence state in India. This study was carried out to describe the network characteristics and recruitment patterns of injecting drug users and to assess the association of personal network with injecting risky behaviors in Manipur. METHODS: A total of 821 injecting drug users were recruited into the study using respondent-driven sampling (RDS) from Bishnupur and Churachandpur districts of Manipur; data on demographic characteristics, HIV risk behaviors, and network size were collected from them. Transition probability matrices and homophily indices were used to describe the network characteristics, and recruitment patterns of injecting drug users. Univariate and multivariate binary logistic regression models were performed to analyze the association between the personal networks and sharing of needles or syringes. RESULTS: The average network size was similar in both the districts. Recruitment analysis indicates injecting drug users were mostly engaged in mixed age group setting for injecting practice. Ever married and new injectors showed lack of in-group ties. Younger injecting drug users had mainly recruited older injecting drug users from their personal network. In logistic regression analysis, higher personal network was found to be significantly associated with increased likelihood of injecting risky behaviors. CONCLUSION: Because of mixed personal network of new injectors and higher network density associated with HIV exposure, older injecting drug users may act as a link for HIV transmission or other blood-borne infections to new injectors and also to their sexual partners. The information from this study may be useful to understanding the network pattern of injecting drug users for enriching the HIV prevention in this region. BioMed Central 2017-07-03 /pmc/articles/PMC5496399/ /pubmed/28673303 http://dx.doi.org/10.1186/s12954-017-0171-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Phukan, Sanjib Kumar
Medhi, Gajendra Kumar
Mahanta, Jagadish
Adhikary, Rajatashuvra
Thongamba, Gay
Paranjape, Ramesh S.
Akoijam, Brogen S.
An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title_full An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title_fullStr An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title_full_unstemmed An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title_short An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
title_sort analysis of respondent-driven sampling with injecting drug users in a high hiv prevalent state of india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496399/
https://www.ncbi.nlm.nih.gov/pubmed/28673303
http://dx.doi.org/10.1186/s12954-017-0171-0
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