Exercise as a complementary therapy for depression: a systematic review and meta-analysis of randomized controlled trials and bioinformatics exploration gene network model .
Open accessAbstract
Background The effect of pharmacological treatment (PT), exercise treatment (ET), and both in depressive symptoms remains a matter of debate. The present study aimed to clarify (1) the effect of ET as a monotherapy or complementary treatment of pharmacological therapy; (2) changes in the dose-response for different exercise prescription characteristics; and 3) hypothesizing about the gene network model of exercise effects on depression. Methods We sought Randomized Controlled Trials (RCT) addressing the effects of exercise on depressive patients, published in peer-reviewed journals between 2003-2019 in Scopus, Cochrane, Pubmed/Medline, ISI Web of Knowledge and APA PsycNET databases. Standardized mean difference (SMD) was calculated considering the mean difference on depression scales (pre and post-intervention) and pooled standard deviation for each intention-to-treat in each study. For the gene network model of exercise on depression an in silico analyses were used. Results We found 1,165 articles and selected 15 studies to this meta-analysis. RCTs with different ET and PT prescriptions were examined using the delta (pre and post-intervention) of a validated depression scale compared to the control group in different treatment conditions.Standardized mean differences and confidence intervals (SMD, 95% CI) were found for ET with or without PT group (-0.45, -0.62 to -0.29), ET and PT group (-0.70, -1.00 to -0.40), and only ET group (-0.39, -0.57 to -0.21). The subgroup analyses showed a moderate and large SMD in favour of resistance training (-0.67, -1.22 to -0.12), aerobic exercise 60-80% of maximum heart rate intensity (-0.56, -0.89 to -0.23), 20 to 30 minutes (-0.59, -0.88 to -0.31) or 45 to 60 minutes (-0.55, -0.81 to -0.29) duration per session, and seven times per week (-0.75, -1.30 to -0.20). Conclusion ET plus PT showed a better effect on reducing depressive symptoms, and the exercise prescription that shows the best dose-response in subgroup analyses can be the target for ET in depression. Also, the genes network model can withstand the effect of exercise in the depressive symptoms decrease according to an interaction between BDNF and inflammation. More well-designed studies are needed to confirm our findings.
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The current review excluded seven studies from Carneiro et al.'s meta-analysis because they included pharmacological therapy as a comparator condition, alone or combined with psychotherapy.
“the current review excluded 7 studies due to the inclusion of pharmacological therapy as a comparator condition either alone or in combination with psychotherapy.”
From Exercise as medicine for depressive symptoms? A systematic review and meta-analysis with meta-regression (2023) · cites this paper as [17]
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1 of the 70 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Davidson, J.R., Major depressive disorder treatment guidelines in America and Europe. J Clin Psychiatry, 2010. 71 Suppl E1: p. 04. doi: 10.4088/JCP.9058se1c. · DOI
Cited by
Sorted by citations
Heissel, A., Heinen, D., Brokmeier, L. L., Skarabis, N., Kangas, M., Vancampfort, D., Stubbs, B., Firth, J., Ward, P. B., Rosenbaum, S., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2022-106282 · Cited by 449 · see citing works
Physical Activity as a Clinical Tool against Depression: Opportunities and Challenges
Chen, C., Beaunoyer, E., Guitton, M. J., & Wang, J. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2105132 · Cited by 49 · see citing works
“These differences may be explained by inclusion criteria, heterogeneity in study population and type of exercise intervention, and different degrees of bias in the study design [83].”
BackgroundTian, S., Liang, Z., Qui, F., Yu, Y., Wang, C., Zhang, M., & Wang, X. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.06.031 · Cited by 35 · see citing works
- Authors
- Carneiro, L., Silva, F., Vasoncelos-Raposo, J., Mota, M. P., Vieira-Coelho, M. A., Deslandes, A., Marinho, H., Amaral, G., & Monteiro-Júnior, R.
- Affiliations
- University of Trás-os-Montes and Alto Douro (PT)
- Universidade Federal do Rio de Janeiro (BR)
- INESC TEC (PT)
- Centro Hospitalar Universitario de Sao Joao
- Universidade Federal do Rio de Janeiro Instituto de Psiquiatria
- Universidade Estadual de Montes Claros (BR)
- Pontifícia Universidade Católica de Minas Gerais (BR)
- Published
- 2020-06-10
- OpenAlex
- W3148287765
- Semantic Scholar
- 7fb86cff74f05e81ad40d33624795b898801162d
- Cited by
- 3
- References
- 70
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Funders
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- Fundação para a Ciência e a Tecnologia
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- exercise therapy, depression, complementary therapy, pharmacotherapy, resistance training, aerobic exercise, exercise prescription, dose-response relationship, depressive symptoms, in silico analysis, antidepressant resistance, treatment side effects, treatment acceptability, treatment discontinuation, treatment burden
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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