Evidence map›Paper›PMID 30673066›Full record

SynthesisJAMA psychiatry2019

Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults: A 2-Sample Mendelian Randomization Study.

Karmel W Choi, Chia-Yen Chen, Murray B Stein, Yann C Klimentidis, Min-Jung Wang, Karestan C Koenen, Jordan W Smoller, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium

Erratum issuedOpen access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in JAMA psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 373 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
373citing papers in PubMed, 11 pooled it
36.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

373 citing papers in PubMed, 11 syntheses or guidelines pooled it, 755 citations in OpenAlex.

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  5. EPA guidance on lifestyle interventions for adults with severe mental illness: A meta-review of the evidence.European psychiatry : the journal of the Association of European Psychiatrists · 2024
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313 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Karmel W ChoiDepartment of Psychiatry, Massachusetts General Hospital, Boston.
Chia-Yen ChenPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston.
Murray B SteinDepartment of Psychiatry, University of California, San Diego, La Jolla.
Yann C KlimentidisDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson.
Min-Jung WangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Karestan C KoenenDepartment of Psychiatry, Massachusetts General Hospital, Boston.
Jordan W SmollerDepartment of Psychiatry, Massachusetts General Hospital, Boston.
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Harvard University · USBroad Institute · USMassachusetts General Hospital · USUniversity of Arizona · USVA San Diego Healthcare System · US

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
Research and Mentoring on Integrating Psychiatric Genetics and NeuroscienceK24MH094614 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2012 to 2016
$925k
Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0200243Medical Research Council G0700704Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1NIMH NIH HHS K24 MH094614NIMH NIH HHS T32 MH017119NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

Importance: Increasing evidence shows that physical activity is associated with reduced risk for depression, pointing to a potential modifiable target for prevention. However, the causality and direction of this association are not clear; physical activity may protect against depression, and/or depression may result in decreased physical activity. Objective: To examine bidirectional relationships between physical activity and depression using a genetically informed method for assessing potential causal inference. Design, Setting, and Participants: This 2-sample mendelian randomization (MR) used independent top genetic variants associated with 2 physical activity phenotypes-self-reported (n = 377 234) and objective accelerometer-based (n = 91 084)-and with major depressive disorder (MDD) (n = 143 265) as genetic instruments from the largest available, nonoverlapping genome-wide association studies (GWAS). GWAS were previously conducted in diverse observational cohorts, including the UK Biobank (for physical activity) and participating studies in the Psychiatric Genomics Consortium (for MDD) among adults of European ancestry. Mendelian randomization estimates from each genetic instrument were combined using inverse variance weighted meta-analysis, with alternate methods (eg, weighted median, MR Egger, MR-Pleiotropy Residual Sum and Outlier [PRESSO]) and multiple sensitivity analyses to assess horizontal pleiotropy and remove outliers. Data were analyzed from May 10 through July 31, 2018. Main Outcomes and Measures: MDD and physical activity. Results: GWAS summary data were available for a combined sample size of 611 583 adult participants. Mendelian randomization evidence suggested a protective relationship between accelerometer-based activity and MDD (odds ratio [OR], 0.74 for MDD per 1-SD increase in mean acceleration; 95% CI, 0.59-0.92; P = .006). In contrast, there was no statistically significant relationship between MDD and accelerometer-based activity (β = -0.08 in mean acceleration per MDD vs control status; 95% CI, -0.47 to 0.32; P = .70). Furthermore, there was no significant relationship between self-reported activity and MDD (OR, 1.28 for MDD per 1-SD increase in metabolic-equivalent minutes of reported moderate-to-vigorous activity; 95% CI, 0.57-3.37; P = .48), or between MDD and self-reported activity (β = 0.02 per MDD in standardized metabolic-equivalent minutes of reported moderate-to-vigorous activity per MDD vs control status; 95% CI, -0.008 to 0.05; P = .15). Conclusions and Relevance: Using genetic instruments identified from large-scale GWAS, robust evidence supports a protective relationship between objectively assessed-but not self-reported-physical activity and the risk for MDD. Findings point to the importance of objective measurement of physical activity in epidemiologic studies of mental health and support the hypothesis that enhancing physical activity may be an effective prevention strategy for depression.

Indexed as

AccelerometryAdultCase-Control StudiesExerciseGenome-Wide Association StudyHumansMajor Depressive DisorderMendelian Randomization AnalysisProtective FactorsSelf Report

Identifiers

PMID30673066
PMCPMC6450288
OpenAlexW2913696992

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.