PDF(Pubmed)
Abstract：
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.
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.
摘要：
背景：多症是影响过早死亡率的关键因素，健康状况不佳,抑郁症,生活质量,和医疗保健的使用。全球大约五分之一的劳动力参与轮班工作，这与几种慢性疾病和多发病的风险增加有关。韩国约有12％至14％的工资工人是轮班工人。然而,韩国轮班工人多重性患病率及其相关因素的报道很少.
目的：本研究旨在评估多症患病率，检查与多发病率相关的因素，并确定韩国轮班工人的多发病模式。
方法：本研究是一项基于人群的横断面研究，使用了2016年至2020年的韩国国家健康与营养检查调查数据。该研究包括1704名（加权n=2,697,228）19岁及以上的韩国轮班工人。多症定义为患有2种或更多种慢性疾病的参与者。人口统计和工作相关变量，包括正常的工作状态，每周平均工作时间,和轮班工作类型，以及健康行为，包括BMI,吸烟状况,酒精使用,身体活动,和睡眠持续时间，包括在分析中。进行了一项调查校正的logistic回归分析，以确定影响工人多发病率的因素，并通过网络分析确定了多浊度模式。
结果：多重性患病率为13.7%（302/1704）。Logistic回归显示年龄,收入,正常工作,肥胖是影响多发病率的重要因素。网络分析结果显示，慢性病分为三组：(1)心脏代谢多重性疾病(高血压，血脂异常,糖尿病,冠心病,和中风)，（2）肌肉骨骼多发性疾病（关节炎和骨质疏松症），和(3)未分类的疾病(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发病有关，表明需要制定与工作日程修改相关的政策。需要进一步的组织级筛查和干预计划来预防和管理轮班工人之间的多发病率。我们还建议进行纵向研究，以确认工作相关因素和健康行为对未来轮班工人多重性的影响。
目的：本研究旨在评估多症患病率，检查与多发病率相关的因素，并确定韩国轮班工人的多发病模式。
方法：本研究是一项基于人群的横断面研究，使用了2016年至2020年的韩国国家健康与营养检查调查数据。该研究包括1704名（加权n=2,697,228）19岁及以上的韩国轮班工人。多症定义为患有2种或更多种慢性疾病的参与者。人口统计和工作相关变量，包括正常的工作状态，每周平均工作时间,和轮班工作类型，以及健康行为，包括BMI,吸烟状况,酒精使用,身体活动,和睡眠持续时间，包括在分析中。进行了一项调查校正的logistic回归分析，以确定影响工人多发病率的因素，并通过网络分析确定了多浊度模式。
结果：多重性患病率为13.7%（302/1704）。Logistic回归显示年龄,收入,正常工作,肥胖是影响多发病率的重要因素。网络分析结果显示，慢性病分为三组：(1)心脏代谢多重性疾病(高血压，血脂异常,糖尿病,冠心病,和中风)，（2）肌肉骨骼多发性疾病（关节炎和骨质疏松症），和(3)未分类的疾病(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发病有关，表明需要制定与工作日程修改相关的政策。需要进一步的组织级筛查和干预计划来预防和管理轮班工人之间的多发病率。我们还建议进行纵向研究，以确认工作相关因素和健康行为对未来轮班工人多重性的影响。
