Department of Nursing, Chung-Ang University, Seoul, Republic of Korea.
College of Nursing, Jeonbuk National University, Jeonju, Republic of Korea.
JMIR Public Health Surveill. 2024 Jun 10;10:e55014. doi: 10.2196/55014.
BACKGROUND: Multimorbidity is a crucial factor that influences premature death rates, poor health, depression, quality of life, and use of health care. Approximately one-fifth of the global workforce is involved in shift work, which is associated with increased risk for several chronic diseases and multimorbidity. About 12% to 14% of wage workers in Korea are shift workers. However, the prevalence of multimorbidity and its associated factors in Korean shift workers are rarely reported. OBJECTIVE: This study aimed to assess multimorbidity prevalence, examine the factors associated with multimorbidity, and identify multimorbidity patterns among shift workers in Korea. METHODS: This study is a population-based cross-sectional study using Korea National Health and Nutrition Examination Survey data from 2016 to 2020. The study included 1704 (weighted n=2,697,228) Korean shift workers aged 19 years and older. Multimorbidity was defined as participants having 2 or more chronic diseases. Demographic and job-related variables, including regular work status, average working hours per week, and shift work type, as well as health behaviors, including BMI, smoking status, alcohol use, physical activity, and sleep duration, were included in the analysis. A survey-corrected logistic regression analysis was performed to identify factors influencing multimorbidity among the workers, and multimorbidity patterns were identified with a network analysis. RESULTS: The overall prevalence of multimorbidity was 13.7% (302/1704). Logistic regression indicated that age, income, regular work, and obesity were significant factors influencing multimorbidity. Network analysis results revealed that chronic diseases clustered into three groups: (1) cardiometabolic multimorbidity (hypertension, dyslipidemia, diabetes, coronary heart disease, and stroke), (2) musculoskeletal multimorbidity (arthritis and osteoporosis), and (3) unclassified diseases (depression, chronic liver disease, thyroid disease, asthma, cancer, and chronic kidney disease). CONCLUSIONS: The findings revealed that several socioeconomic and behavioral factors were associated with multimorbidity among shift workers, indicating the need for policy development related to work schedule modification. Further organization-level screening and intervention programs are needed to prevent and manage multimorbidity among shift workers. We also recommend longitudinal studies to confirm the effects of job-related factors and health behaviors on multimorbidity among shift workers in the future.
背景:多种疾病是影响早逝率、健康状况不佳、抑郁、生活质量和医疗保健利用的关键因素。全球约有五分之一的劳动力从事轮班工作,而轮班工作与多种慢性疾病和多种疾病的风险增加有关。韩国约有 12%至 14%的工薪族从事轮班工作。然而,韩国轮班工人的多种疾病患病率及其相关因素很少有报道。 目的:本研究旨在评估韩国轮班工人的多种疾病患病率,探讨其相关因素,并确定轮班工人的多种疾病模式。 方法:本研究使用 2016 年至 2020 年韩国国家健康和营养检查调查的数据,进行了一项基于人群的横断面研究。研究纳入了 1704 名(加权 n=2697228)19 岁及以上的韩国轮班工人。多种疾病定义为参与者患有 2 种或以上的慢性疾病。分析包括人口统计学和与工作相关的变量,如常规工作状态、每周平均工作小时数和轮班工作类型,以及健康行为,如 BMI、吸烟状况、饮酒、身体活动和睡眠时间。采用校正后的问卷调查逻辑回归分析,确定影响工人多种疾病的因素,并通过网络分析确定多种疾病模式。 结果:总体多种疾病患病率为 13.7%(302/1704)。逻辑回归分析表明,年龄、收入、常规工作和肥胖是影响多种疾病的重要因素。网络分析结果显示,慢性疾病分为三组:(1)心脏代谢性多种疾病(高血压、血脂异常、糖尿病、冠心病和中风),(2)肌肉骨骼性多种疾病(关节炎和骨质疏松症),和(3)未分类疾病(抑郁症、慢性肝病、甲状腺疾病、哮喘、癌症和慢性肾病)。 结论:研究结果表明,一些社会经济和行为因素与轮班工人的多种疾病有关,这表明需要制定与工作时间表修改相关的政策。需要进一步开展组织层面的筛查和干预计划,以预防和管理轮班工人的多种疾病。我们还建议进行纵向研究,以确认未来工作相关因素和健康行为对轮班工人多种疾病的影响。
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