Lee Ye-Seo, Lee Dong-Wook, Kang Mo-Yeol
Department of Occupational and Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Occupational and Environmental Medicine, Inha University Hospital, Incheon, Korea.
Ann Occup Environ Med. 2024 Jul 1;36:e16. doi: 10.35371/aoem.2024.36.e16. eCollection 2024.
Previous reports showed that age and socioeconomic factors mediated health-related unemployment. However, those studies had limitations controlling for confounding factors. This study examines age and socioeconomic factors contributing to health-related unemployment using propensity score matching (PSM) to control for various confounding variables.
Data were obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2015-2017. We applied a 1:1 PSM to align health factors, and examined the association between health-related unemployment and age or socioeconomic factors through conditional logistic regression. The health-related unemployment group was compared with the employment group.
Among the 9,917 participants (5,817 women, 4,100 men), 1,182 (853 women, 329 men) were in the health-related unemployment group. Total 911 pairs (629 women pairs and 282 men pairs) were retained after PSM for health factors. The results of conditional logistic regression showed that older age, low individual and household income levels, low education level, receipt of the Basic Livelihood Security Program benefits and longest-held job characteristics were linked to health-related unemployment, despite having similar health levels.
Older age and low socioeconomic status can increase the risk of health-related unemployment, highlighting the presence of age discrimination and socioeconomic inequality. These findings underscore the importance of proactive management strategies aimed at addressing these disparities, which are crucial for reducing the heightened risk of health-related unemployment.
先前的报告显示，年龄和社会经济因素介导了与健康相关的失业。然而，这些研究在控制混杂因素方面存在局限性。本研究使用倾向得分匹配法（PSM）来控制各种混杂变量，以检验导致与健康相关失业的年龄和社会经济因素。
数据来自2015 - 2017年韩国国民健康与营养检查调查（KNHANES）。我们应用1:1的PSM来匹配健康因素，并通过条件逻辑回归检验与健康相关的失业与年龄或社会经济因素之间的关联。将与健康相关的失业组与就业组进行比较。
在9917名参与者（5817名女性，4100名男性）中，1182人（853名女性，329名男性）属于与健康相关的失业组。在对健康因素进行PSM后，共保留了911对（629对女性和282对男性）。条件逻辑回归结果显示，尽管健康水平相似，但年龄较大、个人和家庭收入水平较低、教育程度较低、领取基本生活保障计划福利以及工作年限最长等特征与与健康相关的失业有关。
年龄较大和社会经济地位较低会增加与健康相关失业的风险，凸显了年龄歧视和社会经济不平等的存在。这些发现强调了旨在解决这些差距的积极管理策略的重要性，这对于降低与健康相关失业的高风险至关重要。
