Measures of depression and risk of type 2 diabetes: A systematic review and meta-analysis.

Adolescent Depression / epidemiology Diabetes Mellitus, Type 2 / epidemiology Humans
Depression Depressive symptoms Diabetes Measurement

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 03 2020
Historique:
received: 21 07 2019
revised: 17 11 2019
accepted: 13 01 2020
entrez: 25 2 2020
pubmed: 25 2 2020
medline: 16 2 2021
Statut: ppublish

Résumé

Depression is associated with an increased risk of type 2 diabetes. This study aimed to determine whether the association between depression and incident type 2 diabetes differs by measure of depression. Data sources included MEDLINE, EMBASE, PsycINFO, CINAHL, ProQuest Dissertations & Theses Global, Web of Science Emerging Sources Citation Index and Conference Proceedings Citation Index, Cochrane Library, the University of York Center for Reviews and Dissemination, abstracts from the PsychoSocial Aspects of Diabetes conference. comparison of participants with and without depression, depression measured at age 18 or older, longitudinal follow-up with an outcome of type 2 diabetes, effect estimate adjusted for important confounders, full-text available in English or French, and study at overall low or moderate risk of bias. Two reviewers extracted data and assessed study quality. Twenty-one studies reporting twenty-five effect estimates were included. Depressive symptom scales, clinical interviews, physician diagnoses, and use of antidepressants were all associated with an increased risk of incident type 2 diabetes. When all measures of depression were combined, the meta-analyzed risk ratio for type 2 diabetes was 1.18 (95% CI 1.12-1.24, I Results showed heterogeneity and evidence of publication bias. Results suggest that various measures of depression may be used to identify individuals at higher risk of type 2 diabetes.

Sections du résumé

BACKGROUND
Depression is associated with an increased risk of type 2 diabetes. This study aimed to determine whether the association between depression and incident type 2 diabetes differs by measure of depression.
METHODS
Data sources included MEDLINE, EMBASE, PsycINFO, CINAHL, ProQuest Dissertations & Theses Global, Web of Science Emerging Sources Citation Index and Conference Proceedings Citation Index, Cochrane Library, the University of York Center for Reviews and Dissemination, abstracts from the PsychoSocial Aspects of Diabetes conference.
INCLUSION CRITERIA
comparison of participants with and without depression, depression measured at age 18 or older, longitudinal follow-up with an outcome of type 2 diabetes, effect estimate adjusted for important confounders, full-text available in English or French, and study at overall low or moderate risk of bias. Two reviewers extracted data and assessed study quality.
RESULTS
Twenty-one studies reporting twenty-five effect estimates were included. Depressive symptom scales, clinical interviews, physician diagnoses, and use of antidepressants were all associated with an increased risk of incident type 2 diabetes. When all measures of depression were combined, the meta-analyzed risk ratio for type 2 diabetes was 1.18 (95% CI 1.12-1.24, I
LIMITATIONS
Results showed heterogeneity and evidence of publication bias.
CONCLUSIONS
Results suggest that various measures of depression may be used to identify individuals at higher risk of type 2 diabetes.

Identifiants

DOI: 10.1016/j.jad.2020.01.053 PMID: 32090745
pubmed: 32090745
pii: S0165-0327(19)31909-3
doi: 10.1016/j.jad.2020.01.053
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

224-232

Subventions

Organisme : CIHR
ID : PCG-155452
Pays : Canada

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declarations of Competing Interest None.

Auteurs

Eva A Graham (EA)

Department of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada. Electronic address: eva.graham@mail.mcgill.ca.

Sonya S Deschênes (SS)

School of Psychology, University College Dublin, Dublin, Ireland.

Marina N Khalil (MN)

Douglas Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.

Sofia Danna (S)

Douglas Mental Health University Institute, Montreal, QC, Canada.

Kristian B Filion (KB)

Department of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada; Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada; Department of Medicine, McGill University, Montreal, QC, Canada.

Norbert Schmitz (N)

Department of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adolescent › Measures of depression and risk of type 2...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Émotions › Dépression › Measures of depression and risk of type 2...
questionsmedicales.fr › Maladies endocriniennes › Diabète › Diabète de type 2 › Measures of depression and risk of type 2...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Measures of depression and risk of type 2...