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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Purpose: The 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. Methods: The 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). Results: After 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. Conclusion: A 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.

Details

Title
Associations among Health Status, Occupation, and Occupational Injuries or Diseases: A Multi-Level Analysis
Author
Shu-Yuan, Su 1 ; Yu-Wen, Li 2   VIAFID ORCID Logo  ; Fur-Hsing Wen 3   VIAFID ORCID Logo  ; Chi-Yu, Yao 4 ; Jong-Yi, Wang 5   VIAFID ORCID Logo 

 Public Health, China Medical University, Taichung 406040, Taiwan 
 Department of Human Resource, Wu Feng Cheng Ching Hospital, Taichung 412031, Taiwan 
 School of Business, Soochow University, Taipei 100006, Taiwan 
 Department of Psychiatry, An Nan Hospital, Tainan City 709204, Taiwan 
 Department of Health Services Administration, China Medical University, Taichung 406040, Taiwan 
First page
381
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20754418
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2774847189
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.