ArticleDiagnostics (Basel, Switzerland)2023
Associations among Health Status, Occupation, and Occupational Injuries or Diseases: A Multi-Level Analysis.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Macular thickness and vascular density assessment using optical coherence tomography and optical coherence tomography angiography imaging in iron ore mine personnel.International journal of retina and vitreous · 2025Article
- The influence of different conflict management styles on depressive symptoms in employees: the mediating role of emotional exhaustion.Frontiers in public health · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
purposeThe present study used a hierarchical generalized linear model to explore the effects of physical and mental health and occupational categories on occupational injuries and diseases.
methodsThe data were obtained from the Registry for Beneficiaries of the 2002-2013 National Health Insurance Research Database. The benefit categories involved adults with occupational injuries and diseases. Six major occupational categories and 28 subcategories were used. The main analysis methods were binary logistic regression (BLR) and hierarchical generalized linear model (HGLM).
resultsAfter adjustment for relevant factors, the three major occupation subcategories most likely to develop occupational injuries and diseases were Subcategory 12 "employees with fixed employers" of Category 1 "civil servants, employees in public or private schools, laborers, and self-employed workers"; Subcategory 2 "employees in private organizations" of Category 1; and "sangha and religionists" of Category 6 "other citizens." Conditions such as mental disorders and obesity increased the risk of occupational injuries and diseases.
conclusionA portion of the occupational categories had a higher risk of occupational injuries and diseases. Physical and mental health issues were significantly correlated with occupational injuries and diseases. To the authors' knowledge, this is the first study to use HGLM to analyze differences in occupational categories in Taiwan.
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