TY - JOUR
T1 - A Cross-Sectional Study of the Impact of Pain Severity on Absenteeism and Presenteeism Among Japanese Full-Time Workers
AU - Tanaka, Chisato
AU - Wakaizumi, Kenta
AU - Takaoka, Saki
AU - Matsudaira, Ko
AU - Mimura, Masaru
AU - Fujisawa, Daisuke
AU - Kosugi, Shizuko
N1 - Funding Information:
This research was partially supported by Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (grant number JP18K07476 and 21H00953), the Health Labour Sciences Research Grant (grant number 19FG1001 and 22FG1002), Kao Research Council for the Study of Healthcare Science (grant number: C- 213105), and the Mental Health Okamoto Memorial Foundation Research Activity Grant. The Rapid Service Fee was funded by the authors.
Funding Information:
The authors thank the survey’s staff members and the field coordinators. They also thank Dr. Akihito Shimazu, professor at the Keio University Faculty of Policy Management, for providing instruments to assess psychosocial factors at home. The authors express their sincere appreciation to Dr. Masayuki Hasegawa and other staff from the Research and Engineering Centre of Nippon Steel for their generous support in conducting this survey. This research was partially supported by Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (grant number JP18K07476 and 21H00953), the Health Labour Sciences Research Grant (grant number 19FG1001 and 22FG1002), Kao Research Council for the Study of Healthcare Science (grant number: C- 213105), and the Mental Health Okamoto Memorial Foundation Research Activity Grant. The Rapid Service Fee was funded by the authors. The authors thank Editage (www.editage.jp) for providing editorial support, including medical writing and proofreading. This was funded by the Health Labour Sciences Research Grant (grant number 19FG1001) and the Mental Health Okamoto Memorial Foundation Research Activity Grant. Chisato Tanaka contributed to the study conception; data acquisition, analysis, and interpretation; and drafting of the manuscript. Kenta Wakaizumi designed the study, analyzed the data, edited the first draft, and supervised the study. Chisato Tanaka, Saki Takaoka, and Shizuko Kosugi participated in data collection. Kenta Wakaizumi, Ko Matsudaira, Masaru Mimura, and Daisuke Fujisawa critically revised the manuscript for important intellectual content. All authors reviewed and approved the final manuscript. Chisato Tanaka, Kenta Wakaizumi, Saki Takaoka, Ko Matsudaira, Masaru Mimura, Daisuke Fujisawa, Shizuko Kosugi have no conflicts of interest to declare regarding this study. All procedures were approved by the Keio University School of Medicine Ethics Committee (approval number 20170069) and the Safety and Health Committee of the company. The study was conducted in accordance with the Helsinki Declaration of 1994 and subsequent amendments, and participation was voluntary. Data are available upon reasonable request. The data analyzed in this study are available with the permission of the Institutional Review Board of Keio University School of Medicine, corresponding to each request (https://www.ctr.med.keio.ac.jp/rinri/).
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Introduction: 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). Methods: 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. Results: 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. Conclusions: Pain severity is a risk factor for absenteeism and presenteeism, even if workers have comorbid psychological stress or mental health problems.
AB - Introduction: 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). Methods: 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. Results: 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. Conclusions: Pain severity is a risk factor for absenteeism and presenteeism, even if workers have comorbid psychological stress or mental health problems.
KW - Absenteeism
KW - Pain
KW - Presenteeism
KW - Principal component analysis
KW - Stress
KW - Work performance
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U2 - 10.1007/s40122-022-00408-7
DO - 10.1007/s40122-022-00408-7
M3 - Article
AN - SCOPUS:85134520153
SN - 2193-8237
VL - 11
SP - 1179
EP - 1193
JO - Pain and Therapy
JF - Pain and Therapy
IS - 4
ER -
