Evidence map›Paper›PMID 31689000›Full record

ArticleDepression and anxiety2020

Physical activity offsets genetic risk for incident depression assessed via electronic health records in a biobank cohort study.

Karmel W Choi, Amanda B Zheutlin, Rebecca A Karlson, Min-Jung Wang, Erin C Dunn, Murray B Stein, Elizabeth W Karlson, Jordan W Smoller

Open access · greenAbstract read
In one paragraph

Article in Depression and anxiety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  18. Association of domain-specific physical activity with depressive symptoms: A population-based study.European psychiatry : the journal of the Association of European Psychiatrists · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

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, Massachusetts.ORCID 0000-0002-3914-2431
Amanda B ZheutlinPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Rebecca A KarlsonPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Min-Jung WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0003-4432-3330
Erin C DunnDepartment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-1413-3229
Murray B SteinDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California.ORCID 0000-0001-9564-2871
Elizabeth W KarlsonDepartment of Medicine, Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, Massachusetts.
Jordan W SmollerDepartment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0381-6334
Broad Institute · USBrigham and Women's Hospital · USMassachusetts Department of Public Health · USMassachusetts General Hospital · USUniversity of California San Diego · US

Funding

Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
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
NHGRI NIH HHS U01 HG008685NIMH NIH HHS T32 MH017119
6 · The paper itself

Abstract

backgroundPhysical activity is increasingly recognized as an important modifiable factor for depression. However, the extent to which individuals with stable risk factors for depression, such as high genetic vulnerability, can benefit from the protective effects of physical activity, remains unknown. Using a longitudinal biobank cohort integrating genomic data from 7,968 individuals of European ancestry with high-dimensional electronic health records and lifestyle survey responses, we examined whether physical activity was prospectively associated with reduced risk for incident depression in the context of genetic vulnerability.

methodsWe identified individuals with incident episodes of depression, based on two or more diagnostic billing codes for a depressive disorder within 2 years following their lifestyle survey, and no such codes in the year prior. Polygenic risk scores were derived based on large-scale genome-wide association results for major depression. We tested main effects of physical activity and polygenic risk scores on incident depression, and effects of physical activity within stratified groups of polygenic risk.

resultsPolygenic risk was associated with increased odds of incident depression, and physical activity showed a protective effect of similar but opposite magnitude, even after adjusting for BMI, employment status, educational attainment, and prior depression. Higher levels of physical activity were associated with reduced odds of incident depression across all levels of genetic vulnerability, even among individuals at highest polygenic risk.

conclusionsReal-world data from a large healthcare system suggest that individuals with high genetic vulnerability are more likely to avoid incident episodes of depression if they are physically active.

Indexed as

Electronic Health RecordsCohort StudiesDatabases, GeneticDepressionExerciseFemaleGenome-Wide Association StudyHumansMajor Depressive DisorderMaleMiddle AgedMultifactorial InheritanceRisk FactorsdepressionEHRexercisegenomicspolygenic riskpreventionresilience

Identifiers

PMID31689000
PMCPMC7905987
OpenAlexW2985844275

What OpenQuestion holds

Textmetadata
LicenceTDM
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.