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Meta-Analysis
. 2019 Apr 1;76(4):399-408.
doi: 10.1001/jamapsychiatry.2018.4175.

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

Affiliations
Meta-Analysis

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

Karmel W Choi et al. JAMA Psychiatry. .

Erratum in

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    [No authors listed] [No authors listed] JAMA Psychiatry. 2023 Oct 1;80(10):1078. doi: 10.1001/jamapsychiatry.2023.2854. JAMA Psychiatry. 2023. PMID: 37556128 Free PMC article. No abstract available.

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.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Stein reported consulting for Actelion, Aptinyx, Inc, Dart Neuroscience, LLC, Healthcare Management Technologies, Janssen Pharmaceuticals, Inc, Neurocrine Biosciences, Oxeia Biopharmaceuticals, Pfizer, and Resilience Therapeutics in the past 3 years; owning founders’ shares in Resilience Therapeutics; and having stock options in Resilience Therapeutics and Oxeia Biopharmaceticals. Dr Smoller reported being an unpaid member of the Scientific Advisory Board of Psy Therapeutics, Inc, and of the Bipolar/Depression Research Community Advisory Panel of 23andMe. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Mendelian Randomization (MR) Model
B2 indicates the causal relationship of interest to be estimated, where B2 = B1/B3. B1 and B3 represent estimated direct effects of a genetic variant on the exposure (eg, physical activity) and outcome (eg, depression), respectively. Solid paths are theorized to exist; dashed paths are theorized to be nonsignificant according to MR assumptions.
Figure 2.
Figure 2.. Mendelian Randomization (MR) Plots for Relationship of Accelerometer-Based Activity With Major Depressive Disorder (MDD)
A, Scatterplot of single-nucleotide polymorphism (SNP) potential effects on physical activity (PA) vs MDD, with the slope of each line corresponding to estimated MR effect per method. B, Forest plot of individual and combined SNP MR-estimated effects sizes. Data are expressed as raw β values with 95% CI. P < 1 × 10−7 for top SNPs. IVW indicates inverse variance–weighted method.
Figure 3.
Figure 3.. Mendelian Randomization (MR) Plots for Relationship of Major Depressive Disorder (MDD) With Accelerometer-Based Activity
A, Scatterplot of single-nucleotide polymorphism (SNP) effects on MDD vs their effects on physical activity (PA), with slope of each line corresponding to estimated MR effect per method. B, Forest plot of individual and combined SNP MR-estimated effects sizes. Data are expressed as raw β values with 95% CI. IVW indicates inverse variance–weighted method.

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