Evidence mapPaperPMID 40416019Full record

ArticleJMA journal2025

Associations between Health Interest Scale Dimensions and Obesity Risk: A Cross-sectional Study among Japanese Employees.

Yumiko Iwase, Rikuya Hosokawa

Abstract read
In one paragraph

Article in JMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

2 authors.

Yumiko IwaseDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Rikuya HosokawaDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity affects over 2.5 billion adults globally in 2022, posing a significant public health challenge. In Japan, obesity, defined as a body mass index ≥25 kg/m Methods: This cross-sectional study analyzed data from 2,260 employees of information technology-related companies in Japan, collected via health checkups and self-administered surveys in 2023. HIS scores (range: 0-36) were used as continuous variables. Logistic regression assessed associations between HIS subscale scores and obesity status, adjusting for demographic, occupational, and lifestyle factors and obesity-related diseases. Results: Higher scores on each HIS dimension were associated with lower obesity odds. Adjusted odds ratios per one-point increase were: health consciousness, 0.84 (95% confidence interval: 0.81-0.88); health value, 0.85 (0.81-0.89); and health motivation, 0.91 (0.87-0.95). Male sex, short sleep (<7 hours), and sedentary occupations were associated with increased obesity odds (all p < 0.001). The associations remained significant after adjustment for obesity-related diseases. Additionally, stronger associations were observed among participants with obesity-related diseases in univariate analysis. Conclusions: This study identified significant associations between the three HIS dimensions and obesity risk, which remained robust after adjusting for obesity-related diseases. Stronger associations were observed across all HIS dimensions in participants with obesity-related diseases. These findings underscore the importance of tailored interventions targeting HIS dimensions, particularly health consciousness and health value, to reduce obesity risk in sedentary, working-age populations.

Indexed as

attitude to healthconsciousnesshealth behaviourobesityoccupational health

Identifiers

PMID40416019
PMCPMC12095852

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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 Socratic graph.