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Injection drug network characteristics as a predictor of injection behaviour

Social network characteristics of people who inject drugs (PWID) have previously been flagged as potential risk factors for HCV transmission such as increased injection frequency. To understand the role of the injecting network on injection frequency, we investigated how changes in an injecting netw...

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Autores principales: Spelman, Tim, Sacks-Davis, Rachel, Dietze, Paul, Higgs, Peter, Hellard, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518653/
https://www.ncbi.nlm.nih.gov/pubmed/31063105
http://dx.doi.org/10.1017/S095026881900061X
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author Spelman, Tim
Sacks-Davis, Rachel
Dietze, Paul
Higgs, Peter
Hellard, Margaret
author_facet Spelman, Tim
Sacks-Davis, Rachel
Dietze, Paul
Higgs, Peter
Hellard, Margaret
author_sort Spelman, Tim
collection PubMed
description Social network characteristics of people who inject drugs (PWID) have previously been flagged as potential risk factors for HCV transmission such as increased injection frequency. To understand the role of the injecting network on injection frequency, we investigated how changes in an injecting network over time can modulate injecting risk behaviour. PWID were sourced from the Networks 2 Study, a longitudinal cohort study of PWID recruited from illicit drug street markets across Melbourne, Australia. Network-related correlates of injection frequency and the change in frequency over time were analysed using adjusted Cox Proportional Hazards and Generalised Estimating Equations modelling. Two-hundred and eighteen PWID followed up for a mean (s.d.) of 2.8 (1.7) years were included in the analysis. A greater number of injecting partners, network closeness centrality and eigenvector centrality over time were associated with an increased rate of infection frequency. Every additional injection drug partner was associated with an increase in monthly injection frequency. Similarly, increased network connectivity and centrality over time was also associated with an increase in injection frequency. This study observed that baseline network measures of connectivity and centrality may be associated with changes in injection frequency and, by extension, may predict subsequent HCV transmission risk. Longitudinal changes in network position were observed to correlate with changes in injection frequency, with PWID who migrate from the densely-connected network centre out to the less-connected periphery were associated with a decreased rate of injection frequency.
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spelling pubmed-65186532019-06-04 Injection drug network characteristics as a predictor of injection behaviour Spelman, Tim Sacks-Davis, Rachel Dietze, Paul Higgs, Peter Hellard, Margaret Epidemiol Infect Original Paper Social network characteristics of people who inject drugs (PWID) have previously been flagged as potential risk factors for HCV transmission such as increased injection frequency. To understand the role of the injecting network on injection frequency, we investigated how changes in an injecting network over time can modulate injecting risk behaviour. PWID were sourced from the Networks 2 Study, a longitudinal cohort study of PWID recruited from illicit drug street markets across Melbourne, Australia. Network-related correlates of injection frequency and the change in frequency over time were analysed using adjusted Cox Proportional Hazards and Generalised Estimating Equations modelling. Two-hundred and eighteen PWID followed up for a mean (s.d.) of 2.8 (1.7) years were included in the analysis. A greater number of injecting partners, network closeness centrality and eigenvector centrality over time were associated with an increased rate of infection frequency. Every additional injection drug partner was associated with an increase in monthly injection frequency. Similarly, increased network connectivity and centrality over time was also associated with an increase in injection frequency. This study observed that baseline network measures of connectivity and centrality may be associated with changes in injection frequency and, by extension, may predict subsequent HCV transmission risk. Longitudinal changes in network position were observed to correlate with changes in injection frequency, with PWID who migrate from the densely-connected network centre out to the less-connected periphery were associated with a decreased rate of injection frequency. Cambridge University Press 2019-04-05 /pmc/articles/PMC6518653/ /pubmed/31063105 http://dx.doi.org/10.1017/S095026881900061X Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Spelman, Tim
Sacks-Davis, Rachel
Dietze, Paul
Higgs, Peter
Hellard, Margaret
Injection drug network characteristics as a predictor of injection behaviour
title Injection drug network characteristics as a predictor of injection behaviour
title_full Injection drug network characteristics as a predictor of injection behaviour
title_fullStr Injection drug network characteristics as a predictor of injection behaviour
title_full_unstemmed Injection drug network characteristics as a predictor of injection behaviour
title_short Injection drug network characteristics as a predictor of injection behaviour
title_sort injection drug network characteristics as a predictor of injection behaviour
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518653/
https://www.ncbi.nlm.nih.gov/pubmed/31063105
http://dx.doi.org/10.1017/S095026881900061X
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