Su Shu-Yuan, Li Yu-Wen, Wen Fur-Hsing, Yao Chi-Yu, Wang Jong-Yi
Public Health, China Medical University, Taichung 406040, Taiwan.
Department of Human Resource, Wu Feng Cheng Ching Hospital, Taichung 412031, Taiwan.
Diagnostics (Basel). 2023 Jan 19;13(3):381. doi: 10.3390/diagnostics13030381.
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.
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).
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.
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.
本研究采用分层广义线性模型探讨身心健康和职业类别对职业伤害和疾病的影响。
数据取自2002 - 2013年国民健康保险研究数据库的受益人登记处。受益类别涉及患有职业伤害和疾病的成年人。使用了六个主要职业类别和28个子类别。主要分析方法为二元逻辑回归（BLR）和分层广义线性模型（HGLM）。
在对相关因素进行调整后，最容易发生职业伤害和疾病的三个主要职业子类别是：第1类“公务员、公立或私立学校员工、劳动者和个体经营者”中的第12子类“有固定雇主的员工”；第1类中的第2子类“私营组织员工”；以及第6类“其他公民”中的“僧伽和宗教人士”。精神障碍和肥胖等情况会增加职业伤害和疾病的风险。
部分职业类别发生职业伤害和疾病的风险较高。身心健康问题与职业伤害和疾病显著相关。据作者所知，这是台湾首次使用HGLM分析职业类别差异的研究。
