Evidence map›Paper›PMID 39574552›Full record

ArticleJournal of general and family medicine2024

Factors associated with prefectural level physical activity in Japan: An ecological study.

Noboru Horinouchi, Yuki Kataoka, Kyoko Yamamoto, Seiji Shiota, Eishi Miyazaki

Abstract read
In one paragraph

Article in Journal of general and family medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Noboru HorinouchiDepartment of General Medicine Oita University Faculty of Medicine Oita Japan.ORCID https://orcid.org/0000-0003-4710-1581
Yuki KataokaDepartment of Internal Medicine Kyoto Min-Iren Asukai Hospital Kyoto Japan.ORCID https://orcid.org/0000-0001-7982-5213
Kyoko YamamotoDepartment of General Medicine Oita University Faculty of Medicine Oita Japan.
Seiji ShiotaDepartment of General Medicine Oita University Faculty of Medicine Oita Japan.ORCID https://orcid.org/0000-0001-9811-218X
Eishi MiyazakiDepartment of General Medicine Oita University Faculty of Medicine Oita Japan.ORCID https://orcid.org/0000-0002-1671-5145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity inequalities are an important global concern; nonetheless, few studies have comprehensively examined the association between physical activity inequalities and related factors. We aimed to explore factors associated with regional inequalities in physical activity in Japan. Methods: We investigated the relationship of individual, psychological/behavioral, social, and built-environmental factors with the proportion of individuals with exercise habits across Japanese prefectures. We sourced data from open databases, including the Japanese National Health Insurance Claims and Nationwide Screening Program Database. We defined exercise habits as engaging in at least 30 min of moderate exercise at least twice a week. We employed multiple regression analysis to identify factors associated with prefectural level physical activity. Results: The median proportion of individuals with exercise habits was 27% (interquartile range, 25-29). Higher frequency of exercise habits was associated with higher frequency of history of exercise (coefficients, 0.60; 95% confidence interval, 0.41-0.80) and lower proportion of female gender (coefficients, -1.74; 95% confidence interval, -2.80 to -0.69). Conclusions: Exercise history and female gender may be related to prefectural level physical activity in Japan. Physical activity interventions should be promoted among women without exercise history.

Indexed as

health insurance claimNational Databaseolder adults

Identifiers

PMID39574552
PMCPMC11577295

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Registered trials

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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.