ArticleBMJ public health2025
Association between device-based measured physical activity timing and depression risk: a prospective cohort study of UK Biobank participants.
Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Gene-Physical Activity Interplay in Depression: Candidate-Gene Interactions, Polygenic Susceptibility, Lifestyle Context, and Mendelian Randomization Evidence-Systematic Review.Journal of clinical medicine · 2026Review
- Rest-Activity Timing Phenotypes and Mental Health: A Longitudinal Analysis of 24-Hour Accelerometry in Population-Based Cohorts.Health data science · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Physical activity (PA) decreases the risk of mental diseases. Although PA timing has been hypothesised to affect mental health outcomes, no large-scale epidemiological cohort studies have been performed. We investigated the association between PA timing and incident depression in the general population. Methods: A total of 89 934 European participants (62.4±7.9 years, age range: 43-79 years, 44.8% men) without a history of depression were analysed. Hourly PA levels were derived from accelerometry data and standardised for the total daily amount of PA. Participants were followed for a maximum of 8.5 years. Risks of incident depression dependent on individually standardised hourly PA level were assessed using Cox proportional-hazards models adjusted for potential confounders. Results: During follow-up, 1748 participants developed depression. Using the hourly standardised PA levels, we observed higher risks for incident depression with higher night-time PA (eg, at 4:00 HR 1.35; 95% CI 1.28, 1.41), and lower depression risks with higher morning-time PA (eg, at 9:00 HR 0.85; 95% CI 0.81, 0.89). Also in the subgroup analysis, compared with participants who were most active during midday, participants with most PA in the early morning had a lower risk for incident depression (HR 0.80; 95% CI 0.68, 0.95). No differences were observed when analyses were stratified for sex, chronotype or for the overall objective PA level. Conclusions: Morning PA was associated with lower risk and night-time PA was associated with increased risk of depression. These findings may suggest that future intervention studies should include timing as an additional dimension of PA as a possible treatment and prevention strategy for depression.
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