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

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TLDR
Robust evidence supports a protective relationship between objectively assessed—but not self-reported—physical activity and the risk for MDD and points to the importance of objective measurement of physical activity in epidemiologic studies of mental health.
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 (beta = -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 (beta = 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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Journal ArticleDOI

The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness

Joseph Firth, +56 more
TL;DR: This Commission summarises advances in understanding on the topic of physical health in people with mental illness, and presents clear directions for health promotion, clinical care, and future research.

Physical activity and incident depression: a meta-analysis of prospective cohort studies

TL;DR: In this paper, the prospective relationship between physical activity and incident depression was examined and potential moderators were explored, which supported the notion that physical activity can confer protection against the emergence of depression regardless of age and geographical region.
Journal ArticleDOI

Predicting Polygenic Risk of Psychiatric Disorders.

TL;DR: Fundamental concepts involved in computing genetic risk with current methods, strengths and weaknesses of various approaches, assessments of utility, and applications to various psychiatric disorders and related traits are discussed.
References
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Journal Article

Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research.

TL;DR: These definitions are offered as an interpretational framework for comparing studies that relate physical activity, exercise, and physical fitness to health.
Journal ArticleDOI

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

TL;DR: An adaption of Egger regression can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is not subject to these violations, and provides a sensitivity analysis for the robustness of the findings from a Mendelian randomization investigation.
Journal ArticleDOI

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

TL;DR: A novel weighted median estimator for combining data on multiple genetic variants into a single causal estimate is presented, which is consistent even when up to 50% of the information comes from invalid instrumental variables.
Journal ArticleDOI

A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review

TL;DR: The findings suggest that the measurement method may have a significant impact on the observed levels of physical activity, which poses a problem for both reliance on self- report measures and for attempts to correct for self-report – direct measure differences.
Journal ArticleDOI

Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases.

TL;DR: The MR-PRESSO test detects and corrects horizontal pleiotropy in multi-instrument Mendelian randomization (MR) analyses and introduces distortions in the causal estimates in MR that ranged on average from –131% to 201%; it is shown using simulations that the MR-pressO test is best suited when horizontal Pleiotropy occurs in <50% of instruments.
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