lancet-header

Preprints with The Lancet is part of SSRN´s First Look, a place where journals identify content of interest prior to publication. Authors have opted in at submission to The Lancet family of journals to post their preprints on Preprints with The Lancet. The usual SSRN checks and a Lancet-specific check for appropriateness and transparency have been applied. Preprints available here are not Lancet publications or necessarily under review with a Lancet journal. These preprints are early stage research papers that have not been peer-reviewed. The findings should not be used for clinical or public health decision making and should not be presented to a lay audience without highlighting that they are preliminary and have not been peer-reviewed. For more information on this collaboration, see the comments published in The Lancet about the trial period, and our decision to make this a permanent offering, or visit The Lancet´s FAQ page, and for any feedback please contact preprints@lancet.com.

Running from Depression: A Systematic Review and Network Meta-Analysis of Exercise Dose and Modality in the Treatment for Depression

15 Pages Posted: 17 Mar 2023

See all articles by Michael Noetel

Michael Noetel

University of Queensland - School of Psychology

Taren Sanders

Australian Catholic University (ACU) - School of Psychology

Daniel Gallardo-Gómez

University of Seville - Department of Physical Education and Sport

Paul Taylor

Australian Catholic University (ACU) - School of Behavioural and Health Sciences

Borja del Pozo Cruz

University of Southern Denmark - Department of Sports Science and Clinical Biomechanics

Daniel van den Hoek

University of the Sunshine Coast - School of Health and Behavioural Sciences

Jordan J. Smith

University of Newcastle (Australia) - School of Education

John Mahoney

Australian Catholic University (ACU) - School of Behavioural and Health Sciences

Jemima Spathis

Australian Catholic University (ACU) - School of Behavioural and Health Sciences

Mark Moresi

Australian Catholic University (ACU) - School of Behavioural and Health Sciences

Roberta Vasconcellos

Australian Catholic University (ACU) - School of Psychology

Hugh Arnott

Australian Catholic University (ACU) - School of Psychology

Benjamin Varley

The University of Sydney - Westmead Clinical School

Philip D. Parker

Australian Catholic University (ACU) - School of Psychology

Stuart Biddle

University of Queensland - Centre for Health Services Research

Chris Lonsdale

Australian Catholic University (ACU) - School of Psychology

More...

Abstract

Background: Depression is a leading source of global disease burden. Clinical practice guidelines recommend exercise as part of routine care, alongside psychotherapy and antidepressant medication. Our network meta-analysis aims to inform those guidelines with evidence regarding the optimal dose and modality of exercise for alleviating depression.

Methods: We replicated the most recent Cochrane review on exercise for depression, searching five databases (Cochrane Library, MEDLINE, EMBASE, SPORTDiscus, and PsycINFO). We included any randomised trial with exercise arms for participants meeting clinical cutoffs for depression. We did all screening, data extraction, coding, and risk of bias assessment independently and in duplicate. For our primary analyses, we conducted Bayesian arm-based, multilevel network meta-analyses.

Findings: We included 177 studies, with a total of 404 unique arms, and 10,673 participants. Compared with waitlist control, the largest effects on depression were for dance (n = 107, k = 5, g = -1·21 [-1·59, -0·84]), cognitive behaviour therapy with aerobic exercise (n = 198, k = 10, g = -1·04 [-1·36, -0·73]), walking or jogging (n = 914, k = 46, g = -0·92 [-1·08, -0·76]), and strength training (n = 369, k = 16, g = -0·92 [-1·14, -0·70]). Effects were stronger as dose increased until meeting the WHO guidelines for physical activity (~150 min moderate intensity), beyond which there were few additional benefits. Results appeared robust to publication bias, but only one study met Cochrane criteria for low risk of bias.

Interpretation: Exercise is an effective treatment for depression, with dance, walking/jogging, and strength training appearing more effective than other exercises. Exercise appeared equally effective for people with and without comorbidities, and of different baseline levels of depression. Many forms of exercise could be considered first-line treatment, alongside psychotherapy and antidepressant medication.

Registration: This review was registered with PROSPERO (CRD42018118040).

Funding: We received no funding for this review.

Declaration of Interest: No competing interests.

Keywords: Exercise, Depression, Physical activity, Major Depressive Disorder, Behaviour Change Techniques, Yoga, Qigong

Suggested Citation

Noetel, Michael and Sanders, Taren and Gallardo-Gómez, Daniel and Taylor, Paul and del Pozo Cruz, Borja and van den Hoek, Daniel and Smith, Jordan J. and Mahoney, John and Spathis, Jemima and Moresi, Mark and Vasconcellos, Roberta and Arnott, Hugh and Varley, Benjamin and Parker, Philip D. and Biddle, Stuart and Lonsdale, Chris, Running from Depression: A Systematic Review and Network Meta-Analysis of Exercise Dose and Modality in the Treatment for Depression. Available at SSRN: https://ssrn.com/abstract=4388153 or http://dx.doi.org/10.2139/ssrn.4388153

Michael Noetel (Contact Author)

University of Queensland - School of Psychology ( email )

Taren Sanders

Australian Catholic University (ACU) - School of Psychology ( email )

Daniel Gallardo-Gómez

University of Seville - Department of Physical Education and Sport ( email )

Paul Taylor

Australian Catholic University (ACU) - School of Behavioural and Health Sciences ( email )

Borja Del Pozo Cruz

University of Southern Denmark - Department of Sports Science and Clinical Biomechanics ( email )

Daniel Van den Hoek

University of the Sunshine Coast - School of Health and Behavioural Sciences ( email )

Jordan J. Smith

University of Newcastle (Australia) - School of Education ( email )

John Mahoney

Australian Catholic University (ACU) - School of Behavioural and Health Sciences ( email )

Jemima Spathis

Australian Catholic University (ACU) - School of Behavioural and Health Sciences ( email )

Mark Moresi

Australian Catholic University (ACU) - School of Behavioural and Health Sciences ( email )

Roberta Vasconcellos

Australian Catholic University (ACU) - School of Psychology ( email )

Hugh Arnott

Australian Catholic University (ACU) - School of Psychology ( email )

Benjamin Varley

The University of Sydney - Westmead Clinical School ( email )

Philip D. Parker

Australian Catholic University (ACU) - School of Psychology ( email )

Stuart Biddle

University of Queensland - Centre for Health Services Research ( email )

Chris Lonsdale

Australian Catholic University (ACU) - School of Psychology ( email )

Click here to go to TheLancet.com

Paper statistics

Downloads
1,323
Abstract Views
4,289
PlumX Metrics