ArticleInternational journal of environmental research and public health2018
Influence of Health Behaviors and Occupational Stress on Prediabetic State among Male Office Workers.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 14 citations in OpenAlex.
- Knowledge, attitudes, and practices regarding the prevention of intracerebral hemorrhage among hypertensive patients.Frontiers in cardiovascular medicine · 2025Article
- Negative emotions in community-dwelling adults with prediabetes and hypertension.The Journal of international medical research · 2020Observational
- Sex Differences in Cardiovascular Disease Risk by Socioeconomic Status (SES) of Workers Using National Health Information Database.International journal of environmental research and public health · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
This study examined the influence of health behaviors and occupational stress on the prediabetic state of male office workers, and identified related risks and influencing factors. The study used a cross-sectional design and performed an integrative analysis on data from regular health checkups, health questionnaires, and a health behavior-related survey of employees of a company, using Spearman’s correlation coefficients and multiple logistic regression analysis. The results showed significant relationships of prediabetic state with health behaviors and occupational stress. Among health behaviors, a diet without vegetables and fruits (Odds Ratio (OR) = 3.74, 95% Confidence Interval (CI) = 1.93⁻7.66) was associated with a high risk of prediabetic state. In the subscales on occupational stress, organizational system in the 4th quartile (OR = 4.83, 95% CI = 2.40⁻9.70) was significantly associated with an increased likelihood of prediabetic state. To identify influencing factors of prediabetic state, the multiple logistic regression was performed using regression models. The results showed that dietary habits (β = 1.20,
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