Effects of non-pharmacological interventions on depressive symptoms and risk of major depressive disorder in adults with subthreshold depression: A systematic review and meta-analysis.
Major depressive disorders
Meta-analysis
Prevention
Subthreshold depression
Systematic review
Journal
Psychiatry research
ISSN: 1872-7123
Titre abrégé: Psychiatry Res
Pays: Ireland
ID NLM: 7911385
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
25
04
2023
revised:
02
07
2023
accepted:
03
07
2023
medline:
2
8
2023
pubmed:
24
7
2023
entrez:
23
7
2023
Statut:
ppublish
Résumé
Subthreshold depression (StD) is a condition that significantly reduces the quality of life and increases the risk of developing major depressive disorder (MDD). In order to investigate the effectiveness of non-pharmacological interventions (NPIs) in preventing the onset of MDD and improving depressive symptoms in adults with StD (AStDs), we conducted a systematic search of nine databases and included a total of 15 studies. Standardized mean differences (SMDs) were calculated using random effects models. RoB2 tool and GRADEpro software were used to assess the methodological quality and evidence. Funnel plots, Egger's, and Begg's tests were used to analyze publication bias. Sensitivity, subgroup and meta-regression analyses were performed to explore potential sources of heterogeneity. The results showed that NPIs had a significant effect in preventing the onset of MDD and improving depressive symptoms. Subgroup analysis revealed that NPIs were particularly effective in general adult populations, during short-term follow-up (FU) periods, among pregnant women, and in universal prevention programs. The results were found to be robust and credible, as they were less sensitive to changes in the analysis method. Timely detection and treatment of StD is feasible and important, as it can effectively delay or prevent the onset of MDD.
Identifiants
pubmed: 37482046
pii: S0165-1781(23)00283-4
doi: 10.1016/j.psychres.2023.115333
pii:
doi:
Types de publication
Meta-Analysis
Systematic Review
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
115333Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.