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各行业病假情况比较:一项使用日本国际语言处理技术研究所数据档案的横断面研究

[Comparison of sickness absences across industries: A cross-sectional study using the JILPT Data Archive].

作者信息

Suga Hiroatsu, Kitahara Teruyo, Tsujimura Hiroji

机构信息

School of Medicine, Shiga University of Medical Science.

Division of Occupational and Environmental Health, Department of Social Medicine, Shiga University of Medical Science.

出版信息

Sangyo Eiseigaku Zasshi. 2025 Mar 25;67(2):35-46. doi: 10.1539/sangyoeisei.2024-006-B. Epub 2025 Jan 11.

Abstract

OBJECTIVES

Assessing the risk of employee health problems according to firm characteristics (e.g., industry) can be used by companies to identify groups of workers with health problems and develop health-related policies. Previous studies have examined differences in the prevalence of diseases across industries; however, studies using sickness absences, which reduce productivity, are scarce. The purpose of this study was to identify differences in sickness absence rates across industries.

METHODS

With permission for secondary use of archived data from the Japan Institute for Labor Policy and Training (JILPT), we obtained data from private companies with 50 or more regular employees nationwide. Negative binomial regression was conducted using the number of sickness absences attributed to mental health, cancer, lifestyle-related diseases (e.g., diabetes, hypertension, heart disease, cerebrovascular disease), and intractable diseases as the objective variables. The results were confirmed by an ordinal logistic regression. Firm characteristics other than industry were adjusted for firm size, age structure, medical examinations, labor unions, and flexible work systems.

RESULTS

The incidence of sickness absences due to mental health was high in the information and communications, medical care/welfare, and education/learning support industries because of lifestyle-related diseases, and heart disease was high in the transportation/postal industry. Cancer was high in the medical care/welfare industry. While older worker age groups had a lower incidence of mental health issues, a higher incidence of physical illnesses, excluding intractable diseases, was observed. The presence of a labor union was associated with sickness absences due to mental health, cancer, and cerebrovascular disease, and the availability of a flexible work system was associated with sickness absences due to mental health and heart disease.

CONCLUSIONS

The three industries with a high incidence of mental health leave had a high percentage of professional/technical workers and a common background of heavy workloads. In addition, role ambiguity, particularly in the education and medical industries, could lead to stress. The association between the transportation/postal industry and sickness absences due to lifestyle-related diseases and heart disease was probably influenced by work style and lifestyle, whereas the association between the medical care/welfare industry and sickness absences due to cancer was probably influenced by the high percentage of women in this industry. This study could not be adjusted for several variables examined in other studies, such as sex, and caution should be exercised when interpreting the results, especially regarding absences due to cancer.

摘要

目的

企业可依据公司特征(如行业)评估员工健康问题风险,以识别存在健康问题的工人群体并制定相关健康政策。以往研究探讨了不同行业间疾病患病率的差异;然而,利用会降低生产力的病假情况进行研究的却很少。本研究旨在确定各行业病假率的差异。

方法

经日本劳动政策与培训研究所(JILPT)许可对存档数据进行二次使用,我们获取了全国范围内拥有50名及以上正式员工的私营公司的数据。以因心理健康、癌症、生活方式相关疾病(如糖尿病、高血压、心脏病、脑血管疾病)和疑难病症导致的病假天数为目标变量进行负二项回归分析。结果通过有序逻辑回归进行验证。除行业外,还对公司规模、年龄结构、体检、工会和灵活工作制度等公司特征进行了调整。

结果

由于生活方式相关疾病,信息通信、医疗保健/福利以及教育/学习支持行业因心理健康导致的病假发生率较高,运输/邮政行业因心脏病导致的病假发生率较高。医疗保健/福利行业因癌症导致的病假发生率较高。年龄较大的工人群体心理健康问题发生率较低,但除疑难病症外,身体疾病的发生率较高。工会的存在与因心理健康、癌症和脑血管疾病导致的病假有关,灵活工作制度的实施与因心理健康和心脏病导致的病假有关。

结论

心理健康病假发生率较高的三个行业中专业/技术工人比例较高且工作负荷普遍较重。此外,角色模糊,尤其是在教育和医疗行业,可能会导致压力。运输/邮政行业与因生活方式相关疾病和心脏病导致的病假之间的关联可能受工作方式和生活方式影响,而医疗保健/福利行业与因癌症导致的病假之间的关联可能受该行业女性比例较高的影响。本研究无法对其他研究中所考察的一些变量(如性别)进行调整,在解释结果时应谨慎,尤其是关于因癌症导致的病假情况。

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