Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Optimal dose and type of exercise to improve cognitive function in adults with major depressive disorder

A systematic review and Bayesian model-based network meta-analysis

Bibliographic Data

ID22080910
AuthorsJian Ge (0000-0002-8497-4480, Nanjing Sport Institute), Jiarong Ge, Qiyi Wang (0000-0003-2143-8506, Yangzhou University), Shimeng Wang (0000-0002-7745-1630, Nantong University), Xuan Xiong (0000-0002-0155-2128, Nanjing University, corresponding author), Yifei Zhai (0000-0001-6969-1020, Nanjing University, corresponding author)
Year2025
Volume13
Pages1662778-1662778
Publication date2025-12-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1662778
PMID41487645
OpenAlexW4417483577
LanguageEN
References cited67

Introduction: Cognitive impairment is a core feature of major depressive disorder (MDD) that often persists during remission, significantly affecting psychosocial functioning. While exercise is known to alleviate depressive symptoms, its specific impact on cognitive domains remains variable. This study aims to evaluate the dose-response relationship and comparative effectiveness of different types of exercise interventions on cognitive function in adults with MDD. Methods: Five electronic databases (Ovid Medline, PsycINFO, Web of Science, Cochrane Central, and Embase) were systematically searched on September 20, 2024. Study selection: Randomized controlled trials (RCTs) involving adults aged 18 years or older with MDD were included if they examined the effects of exercise interventions and reported at least one cognitive outcome. Two independent reviewers conducted data extraction and quality assessment according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Network Meta-Analyses (PRISMA-NMA) guidelines. Results: A three-level meta-analysis and a Bayesian model-based network meta-analysis were performed. Fifteen RCTs with a total of 1,196 participants were included. A non-linear dose-response relationship was observed, with a minimum effective dose of 967 METs-min/week-within the WHO-recommended exercise range. Among exercise types, Tai Chi/Qigong demonstrated the greatest cognitive benefits. Moderation analysis indicated that younger age and a higher proportion of female participants were associated with stronger cognitive effects. Conclusion: Exercise significantly improves cognitive function in adults with MDD, with aerobic and mind-body exercises offering particularly strong benefits. These results support the integration of tailored exercise programs into treatment strategies for cognitive dysfunction in MDD. Systematic review registration: The systematic review was registered in PROSPERO (CRD42024546289): https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024546289

Bayesian network · Bayesian probability · Cognition · Depressive symptoms · Cancer-related cognitive impairment studies · Mental Health Research Topics · Treatment of Major Depression

  • Fitting three-level meta-analytic models in R

    Open Access•Mark Assink, Carlijn J M Wibbelink•The Quantitative Methods for…•2016

  • Cognitive impairment in depression

    Open Access•P L Rock, J P Roiser et al.•Psychological Medicine•2014

  • Exercise interventions for cognitive function in adults older than 50

    Joseph M Northey, Nicolas Cherbuin et al.•British Journal of Sports Medicine•2018

  • Updating guidance for reporting systematic reviews

    Open Access•Matthew J Page, Joanne E McKenzie et al.•Journal of Clinical Epidemiology•2021

  • Physical Activity, Cognition, and Brain Outcomes

    Kirk I Erickson, Christine H Hillman et al.•Medicine & Science in Sports &…•2019

  • Reliability of the PEDro Scale for Rating Quality of Randomized Controlled Trials

    Christopher G Maher, Catherine Sherrington et al.•Physical Therapy•2003

  • Major Depressive Disorder

    Robert H Belmaker, Galila Agam•New England Journal of Medicine•2008

  • Compendium of Physical Activities

    Barbara E Ainsworth, William L Haskell et al.•Medicine & Science in Sports &…•2011

  • BRMS

    Open Access•Paul-Christian Bürkner•Journal of Statistical Software•2017

  • World Health Organization 2020 guidelines on physical activity and sedentary behaviour

    Open Access•Francis Bull, Salih S Al-Ansari et al.•British Journal of Sports Medicine•2020

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae