Association between insomnia severity and presenteeism among Japanese daytime workers.

Presenteeism is the loss of productivity due to a worker's health problems, despite the worker being present at the workplace. Although the association between presenteeism and insomnia complaints is well known, few studies have examined the association between insomnia severity and presenteeism. This study aimed to explore the association between insomnia severity and presenteeism. This study included 1925 participants (1543 males, 379 females, and three of other genders) in total. The mean age of the participants was 49.94 ± 9.82 years. The inclusion criteria were full-time employment, working 8 hr per day and 5 days per week, and having no night shifts. The insomnia severity was classified based on the Insomnia Severity Index and Athens Insomnia Scale criteria. Logistic regression analysis showed that moderate and severe insomnia severity were associated to a greater magnitude with presenteeism than mild insomnia severity. Severe insomnia severity was associated to a greater magnitude with presenteeism than moderate insomnia severity. In summary, logistic regression analysis showed that increased insomnia severity based on Insomnia Severity Index classification was associated with increased odds of presenteeism, but increased insomnia severity based on Athens Insomnia Scale classification was not fully consistent with increased odds of presenteeism. Because increased insomnia severity is associated with worsening of presenteeism, early detection of and early intervention against insomnia complaints are important for reducing presenteeism. This study was the first to examine the associations between presenteeism and insomnia severity classification of no insomnia, mild, moderate, and severe insomnia severity.

Prediction of suicidal ideation in shift workers compared to non-shift workers using machine learning techniques.

BACKGROUND: Shift work can affect sleep and increase the risk of suicide. This study attempted to predict suicidal ideation according to shift work by using machine learning techniques. METHODS: We analyzed a total of 43,095 data conducted by using the 10-year Korean National Health and Nutrition Examination Survey (KHANES). Shift workers and daytime workers were categorized and analyzed using random forest (RF) and decision tree (DT) techniques of machine learning techniques. RESULTS: Shift workers were more than twice as likely to have suicidal ideation as daytime workers. The RF model showed an accuracy of 91.6% for shift workers and 98% for daytime workers. In the DT technique, the rate of suicidal ideation was the highest among shift workers (82.7%) when they were depressed and had an EuroQol-5 Dimension (EQ-5D) score of less than 0.71. LIMITATIONS: Shift work type was evaluated questionnaire and based on screening data, it was not possible to reflect recent changes in the work type and we evaluated for only suicidal ideation for suicide risk factors. CONCLUSION: The variables influencing the suicide risk of shift workers and daytime workers differ. In the case of shift workers, negative factors such as depression and low quality of life are risk factors for suicide. Efforts are needed to reduce risk factors through administrative and policy interventions to manage workers' health by early screening.

Factors Influencing the Health-Related Quality of Life of Workers According to the Type of Work.

This paper describes a descriptive cross-sectional study that was conducted to identify and compare the factors affecting health-related quality of life (HRQoL) according to the type of work. The method involved a secondary analysis of 4131 workers who participated in the first year of the 8th Korea National Health and Nutrition Examination Survey (2019). In this study, a complex sample plan file was created and then weighted and analyzed. For the analyses, frequency, χ2-test, t-test, and linear regression analyses were used for complex sample analysis. Factors that significantly affected the HRQoL of daytime workers were educational background, living with a spouse, regular work, depression for two consecutive weeks, and suicidal thoughts. The explanatory power was 18.9% (p < 0.001). The factor that significantly affected the HRQoL of shift workers was whether they took dietary supplements for 2 weeks or more during the past year, and the explanatory power was 17.6% (p = 0.007). This study confirmed that the factors affecting HRQoL differ according to the type of work. Based on the results of this study, when developing a program to improve the HRQoL of workers, it is necessary to establish a differentiated strategy according to the type of work.

Factors related with quality on sleep of daytime workers.

BACKGROUND: This study was conducted to identify the sleep status of daytime workers who do not work in shifts. This study analyzed factors affecting sleep duration and sleep quality. METHODS: This study was conducted on 1171 daytime workers at a manufacturing workshop. We used a self-administered questionnaire to investigate demographic variables, work type, working period, musculoskeletal symptoms and the Pittsburgh Sleep Quality Index to assess sleep. Regular health checkup was conducted for the worker's clinical examination. RESULTS: The mean sleep duration was 6.36 h and the mean score on the Pittsburgh Sleep Quality Index was 4.46. Work type and obesity were related to sleep duration. Age, obesity and musculoskeletal pain were significantly related to sleep quality. The prevalence ratio of researcher group for short sleep duration was 1.27 (95% confidence interval: 1.02-1.58). The prevalence ratio of those aged 50 years and over was 0.47 (0.25-0.91) and of those in their 40s was 0.56 (0.35-0.91) for poor sleep quality compared to those in their 20s. The prevalence ratio of the obesity group for poor sleep quality was 1.53 (1.10-2.12). The prevalence ratio of musculoskeletal pain group for poor sleep quality was 1.92 (1.29-2.84). CONCLUSIONS: Age, obesity and musculoskeletal pain were factors affecting the poor quality on sleep of daytime workers. In addition, work type related to short sleep duration.

The relationship between sleep disturbances and depression in daytime workers: a cross-sectional structured interview survey.

The aim of this study was to clarify the relationship between sleep disturbances and depression in daytime workers using a structured interview. A total of 1,184 daytime workers were enrolled. We evaluated difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), early morning awakening (EMA), and global insomnia scores (ISs) in all participants. As a result, the prevalences of DIS, DMS, and EMA were 16%, 46%, and 22 %, respectively. IS was significantly correlated with depression score. Additionally, although all IS subscales (i.e., DIS, DMS, and EMA) were significantly associated with depression score, the main factor contributing to depression score was DIS. Thus, the present study reveals that sleep disturbances and especially DIS are associated with depression in daytime workers.