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Research Article

A Meta-Analysis of Exercise Intervention for Depression Symptoms

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DOI:

10.3791/70951

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August 7th, 2026

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In This Article

Summary

Exercise significantly increased depression remission rates (OR = 2.40) and reduced symptom severity (SMD = –0.96) in 40 RCTs (2,667 participants). These findings support exercise as a complementary approach, though heterogeneity and bias limit certainty.

Abstract

This meta‑analysis estimated the effect of exercise on depression symptoms. Unlike network meta‑analyses that compare exercise modalities, this pairwise meta‑analysis specifically quantifies the effect of structured exercise versus no exercise, using rigorous control-group definitions and updated methods. A literature search up to November 2025 identified 10,123 records. Forty randomized controlled trials met the inclusion criteria. Pooled effect sizes were calculated using random‑effects models; odds ratios (OR) for remission and standardized mean differences (SMD) for depression scores. Heterogeneity was assessed with I2. Exercise significantly increased remission rates (OR = 2.40; 95% CI, 1.97–2.93; p < 0.001; I2 = 49%) and reduced depression scores (SMD = –0.96; 95% CI, –1.27 to –0.65; p < 0.001; I2 = 87%) compared to control groups. The number needed to treat for one additional remission was 2.1. The pooled SMD corresponded to clinically meaningful reductions. Subgroup analyses showed larger effects for supervised exercise and passive controls (e.g., waitlist) versus active comparators (e.g., pharmacotherapy). However, findings have major limitations; only 12/40 studies (30%) had low-risk of bias (RoB 2); most had short follow‑up (≤16 weeks); control conditions varied widely (waitlist to pharmacotherapy); and very high heterogeneity for depression scores (I2 = 87%) persisted despite using SMD. The 95% prediction interval for SMD crossed zero, indicating exercise may not benefit all future populations. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was moderate for remission but low for depression scores. Despite these limitations, exercise was associated with significantly higher remission and lower depression scores. These results support exercise as a complementary approach for depression, particularly for achieving remission. However, high‑quality, large‑scale RCTs with standardized outcomes and longer follow‑up are needed before clinical recommendations can be made.

Introduction

Depression is a common and incapacitating mental illness linked to higher mortality, medical comorbidity, and lower quality of life1. More than 300 million people, or around 4.4% of the global population, suffer from depression2. Psychotherapy and antidepressant medication (or a mix of both) are currently advised therapies3. However, psychotherapy is usually expensive and only produces remission rates of 50%4. Antidepressant medication frequently causes withdrawal symptoms, relapses, and side effects5. Notably, around two-thirds of adults who suffer ....

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Protocol

Eligibility criteria

Studies were included if they met all of the following criteria, organized according to the PICOS framework (Population, Intervention, Comparator, Outcomes, Study design)17. All platforms and materials used in this study are listed in the Table of Materials. All database searches were performed in November 2025. No additional proprietary software (e.g., SAS, SPSS, R) was used beyond RevMan 5.3 and EndNote 20. The GRADE assessment was performed manually using the GRADEpro GDT online tool; the version is recorded as of the access date.

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Results

Study selection

The PRISMA 2020 flow diagram (Figure 1) summarizes the study selection process. Database searches identified 10,123 records (Cochrane Library: n = 1,845; Embase: n = 2,567; Google Scholar: n = 3,210; MEDLINE via OVID: n = 1,892; PubMed: n = 609). After removing 1,018 duplicate records, 9,105 unique records remained for screening. Discrepancy between stated and applied inclusion criteria for control groups. The innovation section in.......

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Discussion

This meta‑analysis of 40 randomized controlled trials (2,667 participants with depression)24,25,26,27,28,29,30,31,32,33,34,

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Disclosures

The authors have no competing interests to declare.

Acknowledgements

Not applicable.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Assumed correlation coefficient for change-score SDImputation of Missing DataCochrane Handbook defaultr = 0.5 (sensitivity analysis performed)
ClinicalTrials.govClinical Trial RegistriesU.S. National Library of MedicineDatabase as of November 10, 2025 (no NCT-specific filter)
Cochrane Central Register of Controlled Trials (CENTRAL)DatabasesCochrane LibraryIssue 11 of 12, November 2025
Cochrane Handbook formulasFormulas & CalculationsCochrane CollaborationHandbook version 6.4 (updated September 2024)
Egger’s linear regression testFunnel Plot AsymmetryRevMan 5.3 / custom macroN/A
Embase (OVID platform)DatabasesElsevier / OVID TechnologiesEmbase Classic+Embase 1947 to 2025 Week 47
EndNoteReference ManagementClarivate Analytics (London, UK)Version 20 (build 20.1.0.16478)
Google ScholarDatabasesGoogle LLCSearch conducted November 15–16, 2025 (first 500 records by relevance)
GRADE (Grading of Recommendations Assessment, Development and Evaluation)Certainty of EvidenceGRADE Working GroupGRADEpro GDT (online version, accessed November 2025)
MEDLINE (OVID platform)DatabasesOVID TechnologiesOvid MEDLINE® 1946 to November 14, 2025
NNT from SMD (Furukawa & Leucht method)Effect Size ConversionBased on area under normal curveN/A
Number needed to treat (NNT) from OREffect Size ConversionFormula: NNT = 1 / [CER × (1 – OR-¹)]N/A
PubMedDatabasesU.S. National Library of MedicineNLM ID: 101775772 (database version 2025)
Review Manager (RevMan)Statistical & Meta-Analysis SoftwareCochrane CollaborationVersion 5.3 (Copenhagen: The Nordic Cochrane Centre)
RoB 2 toolRisk of Bias AssessmentCochrane CollaborationVersion: August 2019 (latest update)
Standardized mean difference (Hedges’ g)Effect Size ConversionCustom calculations in RevMan 5.3N/A
WHO International Clinical Trials Registry Platform (ICTRP)DatabasesWorld Health OrganizationSearch portal version 1.6 (accessed November 2025)

References

  1. James SL, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990&2013;2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018;392(10159):1789-858.
  2. Organization WH. Depression and other common mental disorders: global health estimates. World Health Organization; 2017.
  3. Malhi GS, et al. The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Australian & New Zealand Journal of Psychiatry. 2021;55(1):7-117.
  4. Cuijpers P, et al. Psychological Treatment ....

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