Association between long working hours and engagement in preventive healthcare services in Korean workers: Findings from the Korean National Health and Nutrition Examination Survey.

BACKGROUND: Engagement in preventive healthcare services is crucial for preventing diseases. We explored how working hours are associated with engagement in preventive healthcare services, with a focus on gender differences. METHODS: This cross-sectional study used data from the 2007-2012 Korean National Health and Nutrition Examination Survey. The dependent variable was engagement in each of the five preventive healthcare services (health check-ups, influenza vaccination, and stomach, breast, and cervical cancer screenings). We estimated the prevalence ratios (PRs) and 95% confidence intervals (CIs) using robust Poisson regression. RESULTS: The study analyzed 19,819 workers (9119 women). The adjusted PRs (95% CI) of the association between working ≥55 h per week and engagement in preventive healthcare services among men were 0.95 (0.90-1.00) for health check-ups, 0.86 (0.77-0.96) for influenza vaccination, and 0.95 (0.87-1.03) for stomach cancer screening compared to working 35-40 h per week. Among women, the adjusted PRs (95% CI) of the association between working ≥55 h per week and engagement in preventive healthcare services were 0.84 (0.78-0.91) for health check-ups, 0.82 (0.73-0.92) for influenza vaccination, and 0.88 (0.80-0.97) for stomach, 0.85 (0.78-0.94) for breast, and 0.82 (0.74-0.91) for cervical cancer screenings. CONCLUSION: Long working hours were negatively associated with engagement in preventive healthcare services, and the association was pronounced among female workers. Efforts to promote preventive healthcare participation among individuals with long working hours are necessary, and it is essential to consider the unique vulnerabilities of women when developing such policies.

Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers.

BACKGROUND: Long working hours are associated with cardiovascular and metabolic diseases. This study investigated the relationship between the working hours and dietary qualities and patterns in Korean workers. METHODS: Data from 24,523 workers were extracted from the Korea National Health and Nutrition Examination Survey, 2013-2021. The Korean Healthy Eating Index (KHEI), which ranges from 0 to 100, with a higher score indicating greater adherence to Korean dietary guidelines and superior dietary quality, was used for dietary assessment. We identified dietary patterns and classified workers using latent profile analysis. Logistic regressions were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Five distinct dietary patterns emerged: healthy diet (24.8%), low-vegetable diet (14.0%), average diet (7.8%), low-fruit diet (31.4%), and poor diet (22.0%). The mean KHEI score was 60.8, with the highest score observed in the healthy diet pattern (71.3) and the lowest, in the poor diet pattern (50.0). Compared with working 35-40 h/week, working ≥55 h/week was negatively associated with KHEI scores (ß: -1.08; 95% CI: -1.67, -0.49). Those working ≥55 h/week were less likely to have a healthy diet pattern (OR: 0.81; 95% CI: 0.72, 0.91) and more likely to have a low-fruit diet (OR: 1.36; 95% CI: 1.20, 1.55) or poor diet pattern (OR: 1.23; 95% CI: 1.05, 1.43) compared with those working 35-40 h/week. CONCLUSION: Long working hours are associated with undesirable dietary quality and patterns. Policy interventions aimed at enhancing dietary quality are needed to alleviate the health burdens associated with long working hours.

Health-related quality of life dynamics: modeling insights from immunotherapy.

BACKGROUND: Understanding health-related quality of life (HRQoL) dynamics is essential for assessing and improving treatment experiences; however, clinical and observational studies struggle to capture their full complexity. We use simulation modeling and the case of Chimeric Antigen Receptor T-cell therapy-a type of cancer immunotherapy that can prolong survival, but carries life-threatening risks-to study HRQoL dynamics. METHODS: We developed an exploratory system dynamics model with mathematical equations and parameter values informed by literature and expert insights. We refined its feedback structure and evaluated its dynamic behavior through iterative interviews. Model simulated HRQoL from treatment approval through six months post-infusion. Two strategies-reducing the delay to infusion and enhancing social support-were incorporated into the model. To dynamically evaluate the effect of these strategies, we developed four metrics: post-treatment HRQoL decline, recovery time to pre-treatment HRQoL, post-treatment HRQoL peak, and durability of the peak. RESULTS: Model captures key interactions within HRQoL, providing a nuanced analysis of its continuous temporal dynamics, particularly physical well-being, psychological well-being, tumor burden, receipt and efficacy of treatment, side effects, and their management. Model analysis shows reducing infusion delays enhanced HRQoL across all four metrics. While enhanced social support improved the first three metrics for patients who received treatment, it did not change durability of the peak. CONCLUSIONS: Simulation modeling can help explore the effects of strategies on HRQoL while also demonstrating the dynamic interactions between its key components, offering a powerful tool to investigate aspects of HRQoL that are difficult to assess in real-world settings.

Understanding how treatments affect patients' quality of life over time is crucial, but capturing the complex interactions of health factors poses a challenge for clinical and observational research. To overcome this, we have turned to simulation modeling, a method that allows for a more thorough exploration of these dynamics. Our study focuses on cancer immunotherapy, a treatment that, despite its potential to prolong survival, also comes with life-threatening risks. We evaluated the effectiveness of two strategies aimed at improving quality of life: reducing the time to treatment infusion and enhancing social support. These strategies were assessed across three different patient scenarios: those not initially eligible for treatment, patients experiencing a relapse, and patients showing a complete response. By using simulation modeling, we demonstrated how this approach can help explore the dynamics and interactions of various health factors and the impact of specific strategies.

Unpaid overtime and mental health in the Canadian working population.

BACKGROUND: Unpaid overtime-describing a situation where extra hours are worked but not paid for-is a common feature of the labor market that, together with other forms of wage theft, costs workers billions of dollars annually. In this study, we examine the association between unpaid overtime and mental health in the Canadian working population. We also assess the relative strength of that association by comparing it against those of other broadly recognized work stressors. METHODS: Data were drawn from a survey administered to a heterogeneous sample of workers in Canada (n = 3691). Generalized linear models quantified associations between unpaid overtime, stress, and burnout, distinguishing between moderate (1-5) and excessive (6 or more) hours of unpaid overtime. RESULTS: Unpaid overtime was associated with higher levels of stress and burnout. Relative to those working no unpaid overtime, men working excessive unpaid overtime were 85% more likely to report stress (prevalence ratios [PR]: 1.85, 95% confidence interval [CI]: 1.26-2.72) and 84% more likely to report burnout (PR: 1.84, 95% CI: 1.34-2.54), while women working excessive unpaid overtime were 90% more likely to report stress (PR: 1.90, 95% CI: 1.32-2.75) and 52% more likely to report burnout (PR: 1.52; 95% CI: 1.12-2.06). The association of excessive unpaid overtime with mental health was comparable in magnitude to that of shift work and low job control. CONCLUSIONS: Unpaid overtime may present a significant challenge to the mental health of working people, highlighting the potential role of wage theft as a neglected occupational health hazard.

[A meta-analysis of the relationship between overtime work and neck musculoskeletal disorders in Chinese occupational population].

Objective: To systematically evaluate the effect of overtime work on neck musculoskeletal disorders of occupational population in China. Methods: In August 2023, the literatures on the relationship between overtime work and neck musculoskeletal disorders were searched in China National Knowledge Infrasture (CNKI), WanFang Database, Chinese Science & Technology Journal Database (VIP), China Biomedical Literature Service System (SinoMed) and PubMed. The search scope was Chinese and English literatures published before June 30, 2023. The Quality of literature studies was evaluated using the Agency for Healthcare Research and Quality (AHRQ) cross-sectional study quality evaluation criteria. The Stata 15.0 software was used to calculate combined OR values, and subgroup analysis and meta regression were used to explore the sources of heterogeneity. Results: A total of 32 literatures were included, all of which were in Chinese, with a total sample size of 36003 people, and the literature quality scores were 5-7 points. Heterogeneity test showed that there was no heterogeneity between the literatures (I(2)=20.3%, P=0.156), so fixed effect model was selected to calculate the combined OR value. The combined OR value of overtime work on neck musculoskeletal disorders was 1.51 (95%CI: 1.42-1.60, P<0.001). Subgroup analysis showed that the combined OR of occupational population <35 years old group was higher than that in the ≥35 years old group (P<0.05). But there were no significant differences in the combined OR values in the subgroups classified by average years of service, male proportion, type of OR values, sample size and industry classification (P>0.05) . Conclusion: Overtime work is a risk factor for neck musculoskeletal disorders in Chinese occupational population. Working hours should be rationally arranged to reduce the prevalence of neck musculoskeletal disorders.

Association between long working hours and cigarette smoking, leisure-time physical activity, and risky alcohol use: Findings from the Korea National Health and Nutrition Examination Survey (2014-2021).

BACKGROUND: Long working hours cause adverse health outcomes; however, the precise mechanisms underlying this relationship remain unknown. We examined the association between long working hours and health behaviors, as well as gender differences in this association. METHODS: A nationally representative sample of 26,385 Korean workers was analyzed. The exposure variable was self-reported weekly working hours. The outcomes examined were cigarette smoking, high-level physical activity (defined as engaging in ≥150 min/week of moderate-to-vigorous leisure-time physical activity), and risky alcohol use (defined as consuming seven glasses for men or five glasses for women of alcohol in a single sitting, twice or more per week). Logistic regression models were utilized, and gender differences were examined by incorporating interaction terms into the regression models. RESULTS: Among 26,385 workers, 4,109 (16%) worked ≥55 h/week. The prevalence of cigarette smoking, high-level physical activity, and risky alcohol use was 19%, 18%, and 14%, respectively. The odds ratio (OR) (95% confidence interval [CI]) of the association between working ≥55 h/week and outcomes was 1.26 (1.12-1.43) for cigarette smoking, 0.73 (0.65-0.83) for high-level physical activity, and 0.95 (0.83-1.08) for risky alcohol use compared to working 35-40 h/week. A moderating effect of gender on the association between long working hours and risky alcohol use was observed. The OR (95% CI) of the association between working ≥55 h/week was 0.88 (0.76-1.02) in men and 1.51 (1.12-2.05) in women. CONCLUSION: Our findings emphasize the need for policy interventions aimed at reducing excessive working hours and fostering healthy lifestyle behaviors among individuals engaged in long working hours.

Should I stay or should I go? Why nurses are leaving community nursing in the UK.

Worsening working conditions for nursing workforce has seen a massive exodus of staff, particularly in community nursing in the UK. AIM: The study aim was to map working conditions as well as identify differentiating characteristics of community nurses that intend to leave their profession. DESIGN: Eligibility criteria were community nurses working in all 4 UK countries. All data was collected by means of a cross-sectional survey via the largest closed, private community nursing online-forum. Logistic regression was carried out to ascertain the effects of the variables on the intention to leave. RESULTS: The total number of respondents was 533. Findings showed that one in two of all community nurses (≈46%) are reporting job dissatisfaction. Length of unpaid overtime per shift (odds increase by 30% for each hour of overtime), manager support, proportion of permanent staff, team size, shift length, travel mileage, worsened conditions in the last year and overall self-rated working conditions were differentiating factors between those that intended to leave the job. The proportion of permanent staff on the team and perceived lack of support from management best predicted the likelihood of leave rates. Our findings imply that low nurse retention will fuel an even higher exodus because job dissatisfaction is highest on teams with lowest permanent staff ratios. Poor management that is inept at supporting frontline staff means that the fundamental retention issues are exacerbated and will not stop the unprecedented crisis that is predicted to lead to a collapse of care provision in community settings. Nurses play a central role and are 'key' to delivering the much- desired patient-centred care' therefore their well-being and job satisfaction should become a priority for policymakers.

Overtime and alertness of rotating-shift nurses: An observational study using ecological momentary assessment.

AIMS AND OBJECTIVES: This study aimed to determine the effect of overtime on alertness at work among rotating-shift nurses in South Korea and to investigate whether these effects of overtime vary across the different types of shifts. BACKGROUND: Nurse overtime is prevalent in healthcare settings to manage nursing shortages and staffing needs; however, it negatively affects patient and nurse outcomes. Furthermore, little attention has been paid to the effects of previous overtime shifts and overtime for consecutive shifts on alertness during work. DESIGN: A prospective observational study was employed. The study followed STROBE checklist for observational studies. METHODS: Data were collected between June 2019 and February 2020 from 82 nurses who worked in acute care hospitals. An ecological momentary assessment was used to capture real-time data of overtime and alertness. Alertness scores were estimated using the sleep/wake data measured by an actigraph. Mixed-effect models were employed to investigate the association between overtime and alertness. RESULTS: A majority of the shift nurses worked overtime. Episodes of a decline in alertness scores to the level of increased accident or serious error risk (alertness score ≤80) were most frequently seen during night shifts (98.9%), followed by day (59.8%) and evening shifts (10.1%). Previous-day overtime hours and consecutive overtime days were associated with decreased alertness scores during work. A significantly positive correlation was observed between alertness scores ≤80 and previous-day overtime hours and consecutive overtime days in all shifts. CONCLUSIONS: The study findings indicate that a majority of nurses who work overtime experience decreased alertness while on duty. RELEVANCE TO CLINICAL PRACTICE: Policy development at the government, organisational and unit level is needed to guarantee adequate rest for shift nurses by adjusting work schedules and assignments and limiting overtime.

Organizational Risk Factors and Clinical Impacts of Unplanned Extubation in the Neonatal Intensive Care Unit.

OBJECTIVES: To assess the association between organizational factors and unplanned extubation events in the neonatal intensive care unit (NICU) and to evaluate the association between unplanned extubation event and bronchopulmonary dysplasia (BPD) among infants born at <29 weeks of gestational age. STUDY DESIGN: This is a retrospective cohort study of infants admitted to a tertiary care NICU between 2016 and 2019. Nursing provision ratios, daily nursing overtime hours/total nursing hours ratio, and unit occupancy were compared between days with and days without unplanned extubation events. The association between unplanned extubation events (with and without reintubation) and the risk of BPD was evaluated in infants born at <29 weeks who required mechanical ventilation using a propensity score-matched cohort. Multivariable logistic regression analysis was used to assess the association between exposures and outcomes while adjusting for confounders. RESULTS: On 108 of 1370 days there was ≥1 unplanned extubation event for a total of 116 unplanned extubation event events. Higher median nursing overtime hours (20 hours vs 16 hours) and overtime ratios (3.3% vs 2.5%) were observed on days with an unplanned extubation event compared with days without an unplanned extubation event (P = .01). Overtime ratio was associated with higher adjusted odds of a unplanned extubation event (aOR, 1.09; 95% CI, 1.01-1.18). In the subgroup of infants born at <29 weeks, those with an unplanned extubation event who were reintubated had a longer postmatching duration of mechanical ventilation (aOR, 13.06; 95% CI, 4.88-37.69) and odds of BPD (aOR, 2.86; 95% CI, 1.01-8.58) compared with those without an unplanned extubation event. CONCLUSIONS: Nursing overtime ratio is associated with an increased number of unplanned extubation events in the NICU. In infants born at <29 weeks of gestational age, reintubation after an unplanned extubation event is associated with a longer duration of mechanical ventilation and increased risk of BPD.

Overtime working patterns and adverse events in work-related suicide cases: hierarchical cluster analysis of national compensation data in Japan (fiscal year 2015-2016).

BACKGROUND: Although various work-related adverse events affect workers' mental health, the association between long working hours and mental disorders remains unclear. We investigated the characteristics of overtime work and work-related adverse events among all cases of compensated work-related suicide in Japan to empirically reveal the context of the serious consequences. METHODS: We analysed all 167 cases of mental disorders resulting in suicide that were compensated in fiscal year 2015-2016. Hierarchical clustering was applied to the overtime working history. Work-related adverse events were also evaluated as the qualitative aspects of their jobs. RESULTS: More than half of the cases committed suicide within a month of developing a mental disorder. The Administrative and professional or engineering workers had a higher suicide rate. The clustering analysis revealed chronic long working hours (19%), gradual increase (27%), or rapid increase (25%) in working hours before the onset of a mental disorder. A group of cases with less overwork experienced more interpersonal conflicts. CONCLUSION: This is the first study to employ a clustering technique to objectively reveal the actual working patterns behind suicide. The patterns of working overtime before the onset of mental disorders varied considerably among the cases. Taking the transition of working overtime into account may provide clearer insight into the relationship between long working hours and workers' mental health. These results highlight the need for countermeasures especially for causes of chronic overworking, drastic increases in working hours, and interpersonal conflicts to prevent work-related suicide.

Health problems associated with single, multiple, and the frequency of months of objectively measured long working hours: a cohort study by the National Institute of Occupational Safety and Health, Japan.

PURPOSE: We aimed to examine the prospective associations of monthly working hours measured in a month, the 6-month averaged hours, and the frequency of long working hours (≥ 205 h/month) during the past 6 months with health indicators. METHODS: This study included 6,806 Japanese company workers (response rate = 86.6%). Data on the workers' monthly attendance during the second half of fiscal year 2016 and annual health checkups in fiscal years 2016 and 2017 were collected. We evaluated the association of the above three types of monthly working hours with subsequent health checkup data in fiscal year 2017. We adjusted for the corresponding data in fiscal year 2016. RESULTS: Multivariate logistic regression analyses revealed significant associations between monthly working hours and workers' systolic and diastolic blood pressure as well as aspartate aminotransferase, alanine aminotransferase, low-density lipoprotein cholesterol (LDL), and triglyceride levels. However, the associations were not consistent between months. The average monthly working hours were significantly associated with higher LDL levels for the 220-240 h/mo group (OR: 1.49, 95%CI: 1.07-2.08) and lower triglyceride levels for the < 140 h/mo group (OR: 0.15, 95%CI: 0.03-0.77), compared to the 140-180 h/mo group. The frequency of long working hours was significantly associated with higher LDL levels. CONCLUSIONS: Working hours over several months produced various associations with health indicators compared to those measured in a single month. Our present data suggest that the effects of average or frequency of long working hours during the past 6 months are likely to appear in LDL levels.

Boundaryless working hours and recovery in Germany.

OBJECTIVE: Due to recent trends such as globalization and digitalization, more and more employees tend to have flexible working time arrangements, including boundaryless working hours. The aim of this study was to investigate the relationships of various aspects of boundaryless working hours (overtime, Sunday work, and extended work availability) with employees' state of recovery. Besides, we examined the mediating and moderating role of recovery experiences (psychological detachment, relaxation, mastery, and control) in these relationships. METHODS: We used data from 8586 employees (48% women; average age of 48 years) who took part in the 2017 BAuA-Working Time Survey, a representative study of the German working population. Regression analyses were conducted to test main effects as well as mediation and moderation. RESULTS: Overtime work, Sunday work, and extended work availability were negatively related to state of recovery. Psychological detachment mediated these relationships. Furthermore, we found that relaxation and control mediated the association between extended work availability and state of recovery. However, no relevant moderating effects were found. CONCLUSIONS: Altogether, our findings indicate that various aspects of boundaryless working hours pose a risk to employees' state of recovery and that especially psychological detachment is a potential mechanism in these relationships. In addition, the results suggest that a high level of recovery experiences cannot attenuate these negative relationships in leisure time. Therefore, employers and employees alike should try to avoid or minimize boundaryless working hours.

Challenges facing workstyle reform for Japanese obstetricians and gynecologists revealed from time studies.

AIM: We aimed to grasp the actual working hours of Japanese obstetricians and gynecologists (OB/GYN doctors) as accurately as possible, using the same method of the Ministry of Health, Labour, and Welfare (MHLW). METHODS: The time study targeted OB/GYN doctors working at 10 universities nationwide including Niigata University and 21 institutions which take a role of perinatal care in Niigata prefecture. Working hours per week were calculated based on the following categories: regular and overtime work inside the hospital, work outside the hospital, self-improvement, education, research, and others. Data on weekly working hours were converted to yearly data for analyses. RESULTS: A time study of 10 universities nationwide revealed that 30% of doctors work overtime for more than 1860 h even if they do not include on-call shifts in their working hours. In 21 institutions in Niigata, physicians in Niigata University worked more overtime than other hospitals. It became clear that community health care was supported by dispatching physicians working at university. Furthermore, the results of simulations predicted the pessimistic situation of perinatal medical care in Niigata. CONCLUSIONS: Our study showed the possibility to exist much more OB/GYN doctors who work more than 1860 h of overtime work per year than the data presented by the MHLW based on nation-wide survey in 2019. The fact that the working hours at the side jobs had a great influence on the increase in overtime work of physicians in University was the same result as the report of MHLW published in 2021.

Work hours and overtime of nurses working in Cambodian hospitals.

AIM: To examine the nature and prevalence of Cambodian nurses' work hours and overtime and related factors BACKGROUND: The chronic shortage of nursing workforce is a major cause of overtime among nurses. INTRODUCTION: Nursing shortage and working overtime among nurses negatively affect nurse and patient outcomes, but nurses' work hours and overtime in Cambodia have not been comprehensively examined. METHODS: A multicenter cross-sectional study was conducted in four Cambodian hospitals. Data were collected from 253 nurses providing direct nursing care using a questionnaire. The STROBE checklist was used for reporting this study. RESULTS: More than a fifth of staff nurses worked more than 48 h, which is the legal work hour limit in Cambodia. Two major reasons for working mandatory or voluntary overtime, on-call or 24-h on-call were (a) not wanting to let down colleagues and (b) able to get all work done. The number of patients cared for was related to whether or not nurses worked 48 h or more. CONCLUSION: Overtime work and adverse nurse scheduling are common in Cambodia. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Nurse managers and healthcare institutes in Cambodia need to monitor Cambodian nurses' work hours, which are often beyond the legal work hour limit. Moreover, it is important to understand why nurses work overtime and develop health policies, strategies, and programs that can help promote patient and nurse safety and retain qualified nursing staff. The 24-h on-call practice needs to be regulated according to the labor policy in healthcare institutes to prevent adverse nurse and patient outcomes.

Cluster-based stability evaluation in time series data sets.

In modern data analysis, time is often considered just another feature. Yet time has a special role that is regularly overlooked. Procedures are usually only designed for time-independent data and are therefore often unsuitable for the temporal aspect of the data. This is especially the case for clustering algorithms. Although there are a few evolutionary approaches for time-dependent data, the evaluation of these and therefore the selection is difficult for the user. In this paper, we present a general evaluation measure that examines clusterings with respect to their temporal stability and thus provides information about the achieved quality. For this purpose, we examine the temporal stability of time series with respect to their cluster neighbors, the temporal stability of clusters with respect to their composition, and finally conclude on the temporal stability of the entire clustering. We summarise these components in a parameter-free toolkit that we call Cluster Over-Time Stability Evaluation (CLOSE). In addition to that we present a fuzzy variant which we call FCSETS (Fuzzy Clustering Stability Evaluation of Time Series). These toolkits enable a number of advanced applications. One of these is parameter selection for any type of clustering algorithm. We demonstrate parameter selection as an example and evaluate results of classical clustering algorithms against a well-known evolutionary clustering algorithm. We then introduce a method for outlier detection in time series data based on CLOSE. We demonstrate the practicality of our approaches on three real world data sets and one generated data set.

Home care vehicle routing problem with chargeable overtime and strict and soft preference matching.

A new scheduling problem arising in the home care context is addressed, whose novelty with respect to the literature lies in the way overtime is paid. In this problem, some clients are willing to pay a higher fee to cover the additional overtime cost, if such overtime is incurred because a caregiver works extra time with the client to preserve continuity of care. These overtime hours charged to clients unburden the company, which no longer has to balance between cost and continuity of care in a traditional way. The problem is also studied in a context that includes preferences expressed by both clients and caregivers. Strict preferences must be respected with a high priority, while soft preferences increase the satisfaction and should be preferably respected. We formalize the problem as a Mixed Integer Linear Problem and also propose a cluster-based decomposition to solve real-life instances. The problem is inspired by the real case study of a provider operating in the USA. Numerical results validate the model and confirm the capability of the decomposition approach to deal with real-life instances.

Association between overtime work hours and preventive dental visits among Japanese workers.

BACKGROUND: This study aimed to examine the association between overtime work and the frequency of preventive dental visits among workers in Japan. METHODS: A self-administered questionnaire was completed by 14,847 daytime-workers. We used a logistic regression model stratified by sex and age and adjusted for marital status, occupation, education, and oral status to investigate the association between overtime work hours and the frequency of preventive dental visits. RESULTS: In total 1037 men (9.3%) and 511 women (13.9%) attended quarterly preventive dental visits, and 2672 men (23.9%) and 1165 women (31.8%) attended annual preventive dental visits. Overtime work was statistically significantly associated with quarterly preventive dental visits among men aged 50-59 years, with adjusted odds ratios (aOR) and 95% confidence intervals (CI) of 0.73 (0.56-0.95), 0.75 (0.54-1.04), and 0.55 (0.34-0.90) for < 20, 20-39, and ≥40 h overtime/month, respectively. No such trends were observed for men aged < 50 years and women of all ages. Overtime work of < 20, 20-40, and ≥40 h overtime/month was statistically significantly associated with annual preventive dental visits among men aged 40-49 years (aOR [95%CI]: 0.76 [0.61-0.95], 0.84 [0.65-1.09], and 0.72 [0.51-1.00], respectively) and 50-59 years (aOR [95%CI]: 0.75 [0.61-0.91], 0.76 [0.59-0.97], and 0.63 [0.45-0.88], respectively). No such trends were observed in men < 40 years and women of all ages. CONCLUSIONS: Our study revealed associations between overtime and preventive dental visits among male workers aged in their 40s and 50s.

Shorter sleep duration is associated with potential risks for overwork-related death among Japanese truck drivers: use of the Karoshi prodromes from worker's compensation cases.

PURPOSE: We aimed to cross-sectionally investigate how work and sleep conditions could be associated with excessive fatigue symptoms as an early sign of Karoshi (overwork-related cerebrovascular and cardiovascular diseases; CCVDs). METHODS: We distributed a questionnaire regarding work, sleep, and excessive fatigue symptoms to 5410 truck drivers, as the riskiest occupation for overwork-related CCVDs, and collected 1992 total samples (response rate: 36.8%). The research team collected 1564 investigation reports required for compensation for Karoshi. Of them, 190 reports listed the prodromes of Karoshi, which were used to develop the new excessive fatigue symptoms inventory. RESULTS: One-way analyses of variance showed that the excessive fatigue symptoms differed significantly by monthly overtime hours (p < 0.001), daily working time (p < 0.001), work schedule (p = 0.025), waiting time on-site (p = 0.049), number of night shifts (p = 0.011), and sleep duration on workdays (p < 0.001). Multivariate mixed-model regression analyses revealed shorter sleep duration as the most effective parameter for predicting excessive fatigue symptoms. Multiple logistic regression analysis confirmed that the occurrences of CCVDs were significantly higher in the middle [adjusted ORs = 3.56 (1.28-9.94)] and high-score groups [3.55 (1.24-10.21)] than in the low-score group. CONCLUSION: The findings suggested that shorter sleep duration was associated more closely with a marked increase in fatigue, as compared with the other work and sleep factors. Hence, ensuring sleep opportunities could be targeted for reducing the potential risks of Karoshi among truck drivers.

Attitudes toward overtime work and self-training: A survey on obstetricians and gynecologists in Japan.

AIM: The Ministry of Health, Labour, and Welfare of Japan proposed a regulation of overtime work as a reform in work style. However, the regulation may deteriorate the quality of medical services due to the reduction in training time. Thus, the study aimed to reveal perceptions in terms of generation gaps in views on self-training and overtime work, among members of the Japan Society of Obstetrics and Gynecology (JSOG). METHODS: A web-based, self-administered questionnaire survey was conducted among members of the JSOG. In total, 1256 respondents were included in the analysis. Data were collected on age, sex, experience as a medical doctor, location of workplace, work style, the type of main workplace, and number of full-time doctors in the main workplace. The study examined the attitudes of the respondents toward overtime work and self-training. The respondents were categorized based on experience as a medical doctor. RESULTS: According to years of experience, 112 (8.9%), 226 (18.0%), 383 (30.5%), 535 (42.6%) doctors have been working for ≤5, 6-10, 11-19, and ≥ 20 years, respectively. Although 54.5% of doctors with ≤5 years of experience expected the regulation on working hours to improve the quality of medical services, those with ≥20 years of experience expressed potential deterioration. After adjusting for covariates, more years of experience were significantly related with the expectation of deterioration in the quality of medical services. CONCLUSIONS: The study revealed a generation gap in the views about self-training and overtime work among obstetricians and gynecologists in Japan.

Effects of Work Environments and Occupational Fatigue on Care Left Undone in Rotating Shift Nurses.

PURPOSE: This study aimed to examine the effects of work environments and occupational fatigue on care left undone in rotating shift nurses, and to identify the indirect (mediation) effect of work environments on care left undone through nurses' occupational fatigue in South Korean acute care hospitals. DESIGN: This study employed a cross-sectional design using an online survey to collect data from 488 rotating shift nurses of acute care hospitals in Korea between November and December 2018. METHODS: A mobile schedule management application for shift nurses was used to advertise the study and to send a link to the online survey. The survey included questions on the nurses' work environment characteristics, care left undone activities, and the Korean version of the Occupational Fatigue Exhaustion/Recovery scale. Poisson regression was used to explore the relationships among work environments, occupational fatigue, and care left undone. Hayes' Model 4 and a bootstrapping analysis were used to identify the mediating effect of occupational fatigue on the relationship between work environments and care left undone. FINDINGS: The average number of tasks left undone was 3.45 (SD = 2.19). The higher the acute and chronic fatigue levels noted among nurses, the higher were the occurrences of care left undone. Conversely, the higher the intershift recovery level, the lower were the occurrences of care left undone. The results showed a positive relationship between care left undone and overtime hours and the number of patients per nurse. Moreover, nurses' occupational fatigue mediated the relationship between work environments and care left undone. Night shifts per month and the number of consecutive days off had an indirect effect on care left undone through occupational fatigue. CONCLUSIONS: High levels of occupational fatigue and poor intershift recovery among nurses can lead to care left undone. Nurses' occupational fatigue mediates the effect of work environment on care left undone. CLINICAL RELEVANCE: It is crucial for healthcare administrators and leaders to develop policies and mandatory regulations to facilitate better working conditions for nurses, consequently reducing their occupational fatigue and decreasing the occurrence of care left undone in acute care hospitals.