Lin Ching-Yuan, Lin Chih-Ming
Department of Laboratory Medicine, Ten-Chan General Hospital, Chung Li, Taoyuan 320, Taiwan.
Department of Healthcare Information and Management, Ming Chuan University, Taoyuan 333, Taiwan.
Int J Environ Res Public Health. 2020 Oct 16;17(20):7539. doi: 10.3390/ijerph17207539.
Unlike a traditional diagnosis of metabolic syndrome (MS), a numerical MS index can present individual fluctuations of health status over time. This study aimed to explore its value in the application of occupational health. Using a database of physiological and biochemical tests and questionnaires, data were collected from 7232 participants aged 20 to 64 years who received occupational health screenings at a health screening institution in 2018. Using confirmatory factor analysis, five components of MS were used to design an MS severity scoring index, which was then used to evaluate the risks of occupation factors. Waist circumference was the largest loading factor compared with the other MS components. Participants who worked in the traditional industrial, food processing, or electronic technology industries had higher MS severity than those in the logistics industry. Those who worked as a manager or over five years had a relatively high severity. The research showed that assessments based on an MS severity score are applicable when the risk factors of suboptimal health are involved. By monitoring the scores over time, healthcare professionals can propose preventive strategies in time, thus enhancing the effectiveness of occupational health examination services.
与传统的代谢综合征(MS)诊断不同,数值化的MS指数可以呈现个体健康状况随时间的波动。本研究旨在探讨其在职业健康应用中的价值。利用生理生化检测和问卷调查数据库,收集了2018年在一家健康筛查机构接受职业健康筛查的7232名年龄在20至64岁之间参与者的数据。采用验证性因子分析,利用MS的五个组成部分设计了一个MS严重程度评分指数,然后用其评估职业因素风险。与MS的其他组成部分相比,腰围是最大的负荷因子。在传统工业、食品加工或电子技术行业工作的参与者的MS严重程度高于物流行业的参与者。担任经理或工作超过五年的人严重程度相对较高。研究表明,当涉及健康欠佳的风险因素时,基于MS严重程度评分的评估是适用的。通过随时间监测评分,医疗保健专业人员可以及时提出预防策略,从而提高职业健康检查服务的有效性。