ArticleJournal of occupational health2020
The association of leisure-time physical activity and walking during commuting to work with depressive symptoms among Japanese workers: A cross-sectional study.
Article in Journal of occupational health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Domain-specific physical activity and mental health: an updated systematic review and multilevel meta-analysis in a combined sample of 3.3 million people.British journal of sports medicine · 2026Pooled it
- Association between different types of physical activity and occupational stress in Japanese workers: a cross-sectional study.Industrial health · 2024Article
- Article
- Significance of Fib4 index as an indicator of alcoholic hepatotoxicity in health examinations among Japanese male workers: a cross-sectional and retrospectively longitudinal study.European journal of medical research · 2023Article
- The association of leisure-time physical activity and walking during commuting to work with depressive symptoms among Japanese workers: A cross-sectional study.Journal of occupational health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine whether the cross-sectional association of leisure-time physical activity and walking during commuting to work with depressive symptoms depends on the level of work-related physical activity among Japanese workers.
methodsParticipants were 2024 workers aged 19-69 years in two manufacturing companies in Japan. Leisure-time physical activity and walking during commuting to work were ascertained via a self-administered questionnaire. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. The odds ratio (OR) of depressive symptoms (CES-D score ≥16) was estimated by using multiple logistic regression with adjustment for covariates.
resultsLeisure-time physical activity was inversely associated with depressive symptoms; multivariable-adjusted ORs (95% confidence intervals) of having depressive symptoms for leisure-time physical activity were 1.00 (reference), 0.85 (0.64, 1.12), 0.69 (0.51, 0.94), and 0.59 (0.44, 0.80) for 0, >0 to <3.0, 3.0 to <10.0, and ≥10.0 MET-h/wk, respectively (P for trend <.001). This inverse trend for leisure-time physical activity was clearer among individuals who had low physical activity at workplace (less than 7.0 MET-h/d). For walking to work, such an inverse association was not observed.
conclusionLeisure-time physical activity was associated with fewer depressive symptoms, especially in workers with low work-related physical activity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.