Associations between national development indicators and the age profile of people who inject drugs: results from a global systematic review and meta-analysis.


Journal

The Lancet. Global health
ISSN: 2214-109X
Titre abrégé: Lancet Glob Health
Pays: England
ID NLM: 101613665

Informations de publication

Date de publication:
01 2020
Historique:
received: 18 01 2019
revised: 07 10 2019
accepted: 16 10 2019
entrez: 17 12 2019
pubmed: 17 12 2019
medline: 7 7 2020
Statut: ppublish

Résumé

Globally, an estimated 15·6 million people inject drugs. We aimed to investigate global variation in the age profile of people who inject drugs (PWID), identify country-level factors associated with age of PWID, and assess the association between injecting drug use (IDU) in young people and rates of injecting and sexual risk behaviours at the country level. We derived data from a previously published global systematic review done in April, 2016 (and updated in June, 2017) on the percentage of young PWID, duration of IDU, average age of PWID, average age at IDU initiation, and the percentage of PWID reporting sexual and injecting risk behaviours. We also derived national development indicators from World Bank data. We estimated the percentage of young PWID for each country, using a random-effects meta-analysis (DerSimonian-Laird methodology) and generated pooled regional and global estimates for all indicators of IDU in young people. We used univariable and multivariable generalised linear models to test for associations between the age indicators and country urban population growth, youth unemployment percentage, the percentage of PWID who are female, the percentage of the general population aged 15-24 years, Gini coefficient, opioid substitution therapy coverage (per PWID per year), gross domestic product (GDP) per capita (US$1000), and sexual and injecting risk behaviours. In the original systematic review, data on age of PWID was reported in 741 studies across 93 countries. Globally, 25·3% (95% uncertainty interval [UI] 19·6-31·8) of PWID were aged 25 years or younger. The highest percentage of young PWID resided in eastern Europe (43·4%, 95% UI 39·4-47·4), and the lowest percentage resided in the Middle East and north Africa (6·9%, 5·1-8·8). At the country level, in multivariable analysis higher GDP was associated with longer median injecting duration (0·11 years per $1000 GDP increase, 95% CI 0·04-0·18; p=0·002), and older median age of PWID (0·13 years per $1000 increase, 0·06-0·20; p<0·0001). Urban population growth was associated with higher age at IDU initiation (1·40 years per annual percentage change, 0·41-2·40). No associations were identified between indicators of IDU in young people and youth unemployment, Gini coefficient, or opioid substitution therapy coverage provision at the country level. No associations were identified between injecting and sexual risk behaviours and age of PWID. Variation in the age profile of PWID was associated with GDP and urbanisation. Regions with the highest prevalence of young PWID (aged ≤25 years) had low coverage of interventions to prevent the spread of blood-borne viruses. Data quality highlights the need for improvements in monitoring of PWID populations. Australian National Drug and Alcohol Research Centre, Australian National Health and Medical Research Council, Open Society Foundation, WHO, the Global Fund, UNAIDS, National Institute for Health Research Health Protection Research Unit for Evaluation of Interventions, Wellcome Trust.

Sections du résumé

BACKGROUND
Globally, an estimated 15·6 million people inject drugs. We aimed to investigate global variation in the age profile of people who inject drugs (PWID), identify country-level factors associated with age of PWID, and assess the association between injecting drug use (IDU) in young people and rates of injecting and sexual risk behaviours at the country level.
METHODS
We derived data from a previously published global systematic review done in April, 2016 (and updated in June, 2017) on the percentage of young PWID, duration of IDU, average age of PWID, average age at IDU initiation, and the percentage of PWID reporting sexual and injecting risk behaviours. We also derived national development indicators from World Bank data. We estimated the percentage of young PWID for each country, using a random-effects meta-analysis (DerSimonian-Laird methodology) and generated pooled regional and global estimates for all indicators of IDU in young people. We used univariable and multivariable generalised linear models to test for associations between the age indicators and country urban population growth, youth unemployment percentage, the percentage of PWID who are female, the percentage of the general population aged 15-24 years, Gini coefficient, opioid substitution therapy coverage (per PWID per year), gross domestic product (GDP) per capita (US$1000), and sexual and injecting risk behaviours.
FINDINGS
In the original systematic review, data on age of PWID was reported in 741 studies across 93 countries. Globally, 25·3% (95% uncertainty interval [UI] 19·6-31·8) of PWID were aged 25 years or younger. The highest percentage of young PWID resided in eastern Europe (43·4%, 95% UI 39·4-47·4), and the lowest percentage resided in the Middle East and north Africa (6·9%, 5·1-8·8). At the country level, in multivariable analysis higher GDP was associated with longer median injecting duration (0·11 years per $1000 GDP increase, 95% CI 0·04-0·18; p=0·002), and older median age of PWID (0·13 years per $1000 increase, 0·06-0·20; p<0·0001). Urban population growth was associated with higher age at IDU initiation (1·40 years per annual percentage change, 0·41-2·40). No associations were identified between indicators of IDU in young people and youth unemployment, Gini coefficient, or opioid substitution therapy coverage provision at the country level. No associations were identified between injecting and sexual risk behaviours and age of PWID.
INTERPRETATION
Variation in the age profile of PWID was associated with GDP and urbanisation. Regions with the highest prevalence of young PWID (aged ≤25 years) had low coverage of interventions to prevent the spread of blood-borne viruses. Data quality highlights the need for improvements in monitoring of PWID populations.
FUNDING
Australian National Drug and Alcohol Research Centre, Australian National Health and Medical Research Council, Open Society Foundation, WHO, the Global Fund, UNAIDS, National Institute for Health Research Health Protection Research Unit for Evaluation of Interventions, Wellcome Trust.

Identifiants

pubmed: 31839143
pii: S2214-109X(19)30462-0
doi: 10.1016/S2214-109X(19)30462-0
pmc: PMC7024964
pii:
doi:

Types de publication

Comparative Study Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e76-e91

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA044170
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : ErratumIn

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Lindsey A Hines (LA)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Electronic address: lindsey.hines@bristol.ac.uk.

Adam Trickey (A)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Janni Leung (J)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Sarah Larney (S)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Amy Peacock (A)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Louisa Degenhardt (L)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Samantha Colledge (S)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Matthew Hickman (M)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Jason Grebely (J)

Kirby Institute, University of New South Wales Sydney, Sydney, NSW, Australia.

Evan B Cunningham (EB)

Kirby Institute, University of New South Wales Sydney, Sydney, NSW, Australia.

Jack Stone (J)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Kostyantyn Dumchev (K)

Ukrainian Institute for Public Health Policy, Kiev, Ukraine.

Paul Griffiths (P)

European Monitoring Centre on Drugs and Drug Addiction, Lisbon, Portugal.

Peter Vickerman (P)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Richard P Mattick (RP)

National Drug and Alcohol Research Centre, Sydney, NSW, Australia.

Michael Lynskey (M)

National Addiction Centre, King's College London, London, UK.

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