Spatial heterogeneity of risk factors associated with HIV prevalence among men who inject drugs in India : An analysis of the data from the integrated bio-behavioral surveillance, India
Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc..
People who inject drugs (PWID) are India's third-largest vulnerable population to human immunodeficiency virus (HIV) infection. PWID in India are confined to certain geographic locations and exhibit varying injecting and sexual risk behaviors, contributing considerably to increasing HIV trends in specific regions. Spatial heterogeneity in risk factors among vulnerable PWID influences HIV prevalence, transmission dynamics, and disease management. Stratified analysis of HIV prevalence based on risk behaviors and geographic locations of PWID will be instrumental in strategic interventions. To stratify the male PWID based on their risk behaviors in each state and determine the HIV prevalence for each stratum. The behavioral data and HIV prevalence of the national integrated biological and behavioural surveillance (IBBS), a nationwide cross-sectional community-based study conducted in 2014 to 2015, was analyzed. Data from 19,902 men who inject drugs across 53 domains in 29 states of India were included. Women who inject drugs were excluded at the time of IBBS, and hence PWID in this study refers to only men who inject drugs. PWID were categorized based on their risk profile, and the corresponding HIV prevalence for each state was determined. HIV prevalence was the highest (29.6%) in Uttar Pradesh, with a high prevalence of risk behaviors among PWID. High HIV prevalence ranging between 12.1% and 22.4% was observed in a few states in East and North-East India and most states in central and North India. Unsafe injecting and sexual practices were significantly (P < .05) associated with higher HIV prevalence and more significantly in National Capital Territory of Delhi (P < .001). Unsafe injecting practices among PWID were proportionally higher in Western and Central India, whereas unsafe sexual behaviors were widespread among most states. Unsafe sexual practices among male PWID were common. The high prevalence of unsafe injecting had significant HIV infection and transmission risks in Western and Central India. The results emphasize the need for stratified, region-specific interventions and combination approaches for harm reduction among PWID. Strengthening the measures that facilitate the reduction of high-risk behaviors, adoption of safe practices, and utilization of HIV services will positively impact HIV prevention measures among PWID.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:101 |
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| Enthalten in: |
Medicine - 101(2022), 48 vom: 02. Dez., Seite e31688 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Aridoss, Santhakumar [VerfasserIn] |
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| Anmerkungen: |
Date Completed 15.12.2022 Date Revised 23.12.2022 published: Print Citation Status MEDLINE |
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| doi: |
10.1097/MD.0000000000031688 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Spatial heterogeneity of risk factors associated with HIV prevalence among men who inject drugs in India |b An analysis of the data from the integrated bio-behavioral surveillance, India |
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| 520 | |a Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. | ||
| 520 | |a People who inject drugs (PWID) are India's third-largest vulnerable population to human immunodeficiency virus (HIV) infection. PWID in India are confined to certain geographic locations and exhibit varying injecting and sexual risk behaviors, contributing considerably to increasing HIV trends in specific regions. Spatial heterogeneity in risk factors among vulnerable PWID influences HIV prevalence, transmission dynamics, and disease management. Stratified analysis of HIV prevalence based on risk behaviors and geographic locations of PWID will be instrumental in strategic interventions. To stratify the male PWID based on their risk behaviors in each state and determine the HIV prevalence for each stratum. The behavioral data and HIV prevalence of the national integrated biological and behavioural surveillance (IBBS), a nationwide cross-sectional community-based study conducted in 2014 to 2015, was analyzed. Data from 19,902 men who inject drugs across 53 domains in 29 states of India were included. Women who inject drugs were excluded at the time of IBBS, and hence PWID in this study refers to only men who inject drugs. PWID were categorized based on their risk profile, and the corresponding HIV prevalence for each state was determined. HIV prevalence was the highest (29.6%) in Uttar Pradesh, with a high prevalence of risk behaviors among PWID. High HIV prevalence ranging between 12.1% and 22.4% was observed in a few states in East and North-East India and most states in central and North India. Unsafe injecting and sexual practices were significantly (P < .05) associated with higher HIV prevalence and more significantly in National Capital Territory of Delhi (P < .001). Unsafe injecting practices among PWID were proportionally higher in Western and Central India, whereas unsafe sexual behaviors were widespread among most states. Unsafe sexual practices among male PWID were common. The high prevalence of unsafe injecting had significant HIV infection and transmission risks in Western and Central India. The results emphasize the need for stratified, region-specific interventions and combination approaches for harm reduction among PWID. Strengthening the measures that facilitate the reduction of high-risk behaviors, adoption of safe practices, and utilization of HIV services will positively impact HIV prevention measures among PWID | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Jaganathasamy, Nagaraj |e verfasserin |4 aut | |
| 700 | 1 | |a Mathiyazhakan, Malathi |e verfasserin |4 aut | |
| 700 | 1 | |a Balasubramanian, Ganesh |e verfasserin |4 aut | |
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| 700 | 1 | |a V M, Padmapriya |e verfasserin |4 aut | |
| 700 | 1 | |a Kumar, Pradeep |e verfasserin |4 aut | |
| 700 | 1 | |a Rajan, Shobini |e verfasserin |4 aut | |
| 700 | 1 | |a Arumugam, Elangovan |e verfasserin |4 aut | |
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