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Objectives: Although musculoskeletal pain is considered to be a major contributor to chronic pain in Japan, there are few epidemiological studies on chronic musculoskeletal pain in workers. Presenteeism, defined as attendance at work in spite of the need to rest due to poor health, related to chronic pain causes a decrease in labor productivity, and its economic loss is said to be four times greater than that of Absenteeism. In this study, we examined the relationship between the actual state of musculoskeletal pain in workers and chronic musculoskeletal pain and labor productivity, with the goal of obtaining useful information to improve labor productivity. Methods: A questionnaire was distributed to 3,406 workers, of whom 2,055 were analyzed to determine the prevalence of chronic musculoskeletal pain and the affected body parts, and the influence of work-related factors and the degree of labor productivity loss due to chronic musculoskeletal pain. Results: 34.0% of subjects had chronic musculoskeletal pain. The most commonly reported pain site was “neck and shoulder”. Chronic musculoskeletal pain was significantly more common in people working overtime and in physical workers. Labor productivity was significantly lower in the group with chronic musculoskeletal pain than in the group without musculoskeletal pain, and it was significantly lower in the “neck and shoulder” and “lower back” groups than in the group without chronic musculoskeletal pain. Conclusions: Thirty-four percent of workers were engaged in work while experiencing chronic musculoskeletal pain. These workers had significantly decreased labor productivity. Efforts to improve conditions for workers with chronic musculoskeletal pain in each work type and working condition may improve labor productivity.

This study aimed to identify risk factors for chronic musculoskeletal pain (CMSP) and sought to examine the effect of fear-avoidance beliefs (FABs) on work productivity in workers with CMSP. We performed a longitudinal study using self-administered questionnaires given to employees in three different industries between April 2016 and March 2017. The questionnaire concerned background characteristics, work-related factors and musculoskeletal pain, the Work Functioning Impairment Scale (WFun), and the Japanese version of the Tampa Scale for Kinesiophobia (TSK-J). We performed logistic regression analysis to evaluate factors affecting CMSP and a multi-way analysis of variance to analyze the relationship between FABs and CMSP and the effect of FABs on the ability to function at work. Age (odds ratio [OR] = 1.02, 95% confidence interval [CI]: 1.00-1.03), mean working hours (OR = 1.18, 95% CI: 1.04-1.33), and changes in working hours (OR = 1.18, 95% CI: 1.02-1.37) were significantly associated with CMSP. Regarding FABs, we found that the stronger the FAB, the greater the WFun score, and that an increase in FABs resulted in a significant increase in WFun scores. This study demonstrated that long or increased working hours may be risk factors for CMSP, and that stronger FABs in those with CMSP are associated with decreased ability to function at work. In addition, measures to reduce FABs in workers with CMSP may be effective.

Ten to twenty percent of the population of Japan has chronic pain. Although studies have confirmed a relationship between sleeping hours and chronic pain, it remains unclear whether there is an association between working hours and chronic pain, especially chronic musculoskeletal pain (CMP), in workers. A self-administered questionnaire that sought information regarding background characteristics and work-related factors was sent to 118 enterprises; finally, 1,747 participants were included in the analysis and were classified into CMP (n = 448) and non-CMP (n = 1299) groups. Logistic regression analysis revealed that age (odds ratio [OR] = 1.02, 95% confidence interval [CI]: 1.01-1.03), sex (reference: female, OR = 0.68, 95% CI: 0.52-0.88), working hours (OR = 1.11, 95% CI: 1.03-1.20), and sleeping hours (OR = 0.84, 95% CI: 0.75-0.95) were significantly associated with CMP. Participants were categorized into four groups according to working hours (long: ≥ 9 hours/day [long-work], short: < 9 hours/day [short-work]) and sleeping hours (long: ≥ 7 hours/day [long-sleep], short: < 7 hours/day [short-sleep]). Furthermore, logistic regression analysis showed that the CMP OR was 2.02 (95% CI: 1.46-2.78) times higher in 'long-work plus short-sleep workers' and 1.47 (95% CI: 0.94-2.30) times higher in 'long-work plus long-sleep workers' than in 'short-work plus long-sleep workers'. Thus, working hours are associated with CMP frequency, but sleeping sufficiently may prevent CMP in workers even if they work for long hours. In conclusion, adequate instructions on sleeping hours should be provided by occupational health staff, as this may be effective in preventing CMP.