Tanaka Chisato, Wakaizumi Kenta, Takaoka Saki, Matsudaira Ko, Mimura Masaru, Fujisawa Daisuke, Kosugi Shizuko
Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
Interdisciplinary Pain Center, Keio University Hospital, Tokyo, Japan.
Pain Ther. 2022 Dec;11(4):1179-1193. doi: 10.1007/s40122-022-00408-7. Epub 2022 Jul 19.
Pain is known to have a high impact on work performance, but there are several confounding factors, such as stress and mental issues. Little is known about the impact of pain severity on work performance when adjusted for such confounding factors. The aim of this study was to identify the effect of pain severity on absence from work (absenteeism) and reduced performance (presenteeism).
A cross-sectional study was conducted among full-time workers at an industrial manufacturing company in Japan. Participants were assessed using a self-reported questionnaire, including work performance evaluations, pain characteristics, pain-related fear, psychological distress, stress at the workplace and home, workaholism, and self-awareness. Principal component analysis was utilized to decrease the dimensions of the measures, and orthogonal rotation was performed on identified components with an eigenvalue > 1.0. Multivariable logistic regression analyses were performed to determine the association between pain severity and absenteeism and presenteeism, and were adjusted for confounding factors. We also analyzed the association between pain intensity and presenteeism using multivariable logistic regression analyses.
A total of 349 workers participated in the study. Six principal components were identified as confounding factors: work stress, regulation, mental instability, less support, home stress, and life dissatisfaction. Multivariable logistic regression analyses showed significant associations of moderate to severe pain with absenteeism (p = 0.02) and low and high presenteeism (p = 0.004 and 0.009, respectively), adjusted for age, sex, body mass index, short sleep, and the six principal components. Pain intensity was also significantly associated with low and high presenteeism (p = 0.002 and 0.014, respectively) in people with pain.
Pain severity is a risk factor for absenteeism and presenteeism, even if workers have comorbid psychological stress or mental health problems.
众所周知,疼痛对工作表现有很大影响,但存在一些混杂因素,如压力和心理问题。在对这些混杂因素进行调整后,关于疼痛严重程度对工作表现的影响知之甚少。本研究的目的是确定疼痛严重程度对缺勤(旷工)和工作效率降低(出勤主义)的影响。
在日本一家工业制造公司的全职员工中进行了一项横断面研究。使用自我报告问卷对参与者进行评估,包括工作表现评估、疼痛特征、与疼痛相关的恐惧、心理困扰、工作场所和家庭压力、工作狂和自我意识。利用主成分分析来减少测量指标的维度,并对特征值大于1.0的已识别成分进行正交旋转。进行多变量逻辑回归分析以确定疼痛严重程度与旷工和出勤主义之间的关联,并对混杂因素进行调整。我们还使用多变量逻辑回归分析来分析疼痛强度与出勤主义之间的关联。
共有349名工人参与了该研究。六个主成分被确定为混杂因素:工作压力、调节、心理不稳定、支持较少、家庭压力和生活不满。多变量逻辑回归分析显示,在对年龄、性别、体重指数、睡眠不足和六个主成分进行调整后,中度至重度疼痛与旷工(p = 0.02)以及低和高出勤主义(分别为p = 0.004和0.009)之间存在显著关联。在有疼痛的人群中,疼痛强度也与低和高出勤主义显著相关(分别为p = 0.002和0.014)。
即使工人存在合并的心理压力或心理健康问题,疼痛严重程度仍是旷工和出勤主义的一个风险因素。