Global trends in the prevalence and incidence of depression:a systematic review and meta-analysis.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 02 2021
Historique:
received: 04 05 2020
revised: 24 11 2020
accepted: 06 12 2020
pubmed: 19 12 2020
medline: 22 4 2021
entrez: 18 12 2020
Statut: ppublish

Résumé

There is mixed evidence regarding the change in the prevalence of depression in the general population over time. This study aimed to synthesise the evidence on studies that use equivalent approaches in equivalent populations across different time points. A systematic review was conducted to identify studies focused on the change over time in depression incidence and prevalence in the general population. A random-effects meta-analysis was performed to obtain a pooled effect for the change in the prevalence estimates between the first and last time points considered. Subgroup and meta-regression analyses were used to ascertain differences in the effect sizes by gender, age group, prevalence type, elapsed time between cross-sections, and depression operationalisation. 19 studies provided information on the change in depression prevalence over time, whereas none provided such information regarding incidence. The pooled odds ratio (OR) and confidence interval (CI) were estimated by using 17 studies: OR=1.35 (95% CI: 1.14, 1.61). Similar pooled effects were obtained for females and males, separately. The high heterogeneity across studies was not explained by any of the design variables considered. No evidence for publication bias was found. The review included published articles up to August 2018, and the information of studies with more than two time points was summarised in a single estimate of change. There is a predominant increasing trend in the likelihood of experiencing depression over time that seems not to be explainable by study design differences or publication bias alone.

Sections du résumé

BACKGROUND
There is mixed evidence regarding the change in the prevalence of depression in the general population over time. This study aimed to synthesise the evidence on studies that use equivalent approaches in equivalent populations across different time points.
METHODS
A systematic review was conducted to identify studies focused on the change over time in depression incidence and prevalence in the general population. A random-effects meta-analysis was performed to obtain a pooled effect for the change in the prevalence estimates between the first and last time points considered. Subgroup and meta-regression analyses were used to ascertain differences in the effect sizes by gender, age group, prevalence type, elapsed time between cross-sections, and depression operationalisation.
RESULTS
19 studies provided information on the change in depression prevalence over time, whereas none provided such information regarding incidence. The pooled odds ratio (OR) and confidence interval (CI) were estimated by using 17 studies: OR=1.35 (95% CI: 1.14, 1.61). Similar pooled effects were obtained for females and males, separately. The high heterogeneity across studies was not explained by any of the design variables considered. No evidence for publication bias was found.
LIMITATIONS
The review included published articles up to August 2018, and the information of studies with more than two time points was summarised in a single estimate of change.
CONCLUSIONS
There is a predominant increasing trend in the likelihood of experiencing depression over time that seems not to be explainable by study design differences or publication bias alone.

Identifiants

pubmed: 33338841
pii: S0165-0327(20)33124-4
doi: 10.1016/j.jad.2020.12.035
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

235-243

Subventions

Organisme : Medical Research Council
ID : MC_PC_MR/T037423/1
Pays : United Kingdom

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Darío Moreno-Agostino (D)

Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK. Electronic address: dario.moreno@kcl.ac.uk.

Yu-Tzu Wu (YT)

Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.

Christina Daskalopoulou (C)

Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.

M Tasdik Hasan (MT)

Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK; Department of Psychological Sciences, University of Liverpool, UK.

Martijn Huisman (M)

Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Matthew Prina (M)

Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.

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Classifications MeSH