Understanding the relationship of long working hours with health status and health-related behaviours

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.

Systematic review and meta-analysis of the association between long working hours and hypertension risk

BACKGROUND

Hypertension, a major public health problem worldwide, has been linked to lifestyle factors and work conditions, with conflicting evidence on the association between long work hours and risk of hypertension.

METHODS

We conducted a systematic review and meta-analysis of observational studies to investigate the relationship between working hours and hypertension or blood pressure, assessed the risk of bias and performed subgroup analyses. The protocol was registered with the International Prospective Register of Systematic Reviews.

RESULTS

The pooled OR for the association between long working hours and risk of hypertension was 1.09 (95% CI: 0.88 to 1.35) in the 15 studies that used hypertension as the outcome. In the three studies that used blood pressure as the outcome, diastolic blood pressure was higher among those with long working hours compared with those with non-long working hours (1.24 mm Hg, 95% CI: 0.19 to 2.29). In subgroup analysis, the pooled OR for the association between long working hours and risk of hypertension was 1.28 (95% CI: 1.14 to 1.44) and 1.00 (95% CI: 0.64 to 1.56) in women and men, respectively.

CONCLUSIONS

Although this study could not clearly confirm the relationship between long working hours and hypertension, the subgroup analysis suggests that long working hours may be associated with hypertension, particularly among women. More reliable research is needed to establish causality.

PROSPERO REGISTRATION NUMBER

CRD42023406961.

Time poverty, health and health-related behaviours in a Southern European city: a gender issue

BACKGROUND

Despite its growing interest, time poverty is a neglected issue in public health analysis and policies. The objectives of this study were: (1) to analyse gender differences in paid, unpaid and total working time; (2) to identify gender differences in the factors related to time poverty; and (3) to examine gender differences in the relationship between time poverty, health and health-related behaviours in the city of Barcelona (Spain).

METHODS

Cross-sectional study based on salaried workers aged 16-64 years interviewed in the 2021 Barcelona Health Survey (695 men and 713 women). Time poverty was defined as the top tercile of the total paid and unpaid work. Dependent variables were self-perceived health status, mental health, sleep time, sleep quality and leisure time physical activity.

RESULTS

Women were more likely to be time poor. In both sexes, time poverty was related to the number of children. Whereas among men time poverty was not associated with any health indicators, among women it was related to poor mental health status (aOR=2.11, 95% CI 1.39 to 3.20), short sleep (aOR=1.54, 95% CI 1.05 to 2.25), poor sleep quality (aOR=1.83, 95% CI 1.25 to 2.68) and low leisure time physical activity (aOR=1.50, 95% CI 1.00 to 2.26).

CONCLUSIONS

This study suggests that time use can be an important social determinant of health and of gender inequalities in health. At the local level, in many European cities, time poverty could be reduced, among other interventions, by increasing affordable and good quality public services for the care of dependent persons.

Work hours, weekend working, nonstandard work schedules and sleep quantity and quality: findings from the UK household longitudinal study

BACKGROUND

Atypical temporal work patterns such as working longer than the standard 35-40 h/ week, weekend working, and nonstandard work schedules (i.e. outside of the typical 9-5, including but not restricted to shiftwork) are increasingly prevalent in the UK. Aside from occupation-specific studies, little is known about the effects of these atypical temporal work patterns on sleep among workers in the UK, even though poor sleep has been linked to adverse health problems, lower workplace productivity, and economic costs.

METHOD

We used regression models to investigate associations between three types of atypical temporal work patterns (long and short weekly work hours, weekend working, and nonstandard schedules) and sleep duration and disturbance using data from over 25,000 employed men and women from 2012-2014 and/or 2015-2017 in the UK Household Longitudinal Study, adjusting for potential confounders and psychosocial work factors.

RESULTS

We found that relative to a standard 35-40 h/week, working 55 h/week or more was related to short sleep (less than 7 h/night) and sleep disturbance. Working most/all weekends compared to non-weekends was associated with short sleep, long sleep (more than 8 h/night), and sleep disturbance, as was working nonstandard schedules relative to standard schedules (fixed day-time schedules). Further analyses suggested some gender differences.

CONCLUSIONS

These results should prompt employers and policymakers to recognise the need for rest and recovery, consider how the timing and scheduling of work might be improved to better support workers' health and productivity, and consider appropriate compensation for anyone required to work atypical temporal work patterns.

Examining the relationship between long working hours and the use of prescription sedatives among U.S. workers

OBJECTIVES

The prevalence of long working hours has been accompanied by a corresponding rise in sleep disorders. Sedative-hypnotic agents (SHAs), have been reported as the second most commonly misused drug class in the U.S. The key objective of this study was to examine the relationship between working hours on the use of sleep aids and medications with sedative properties.

METHODS

The 2010-2019 Medical Expenditure Panel Survey data was utilized. SHAs and medications with sedative related properties (MSRPs) were identified. Furthermore, we employed different regression models ranging from multivariable linear regression, Tobit regression, Heckman regression, and multivariable logistic regression, to ensure consistency, robustness, and reliability of associations.

RESULTS

Overall, a sample of 81,518 observations of full-time workers was analyzed. Working 56hours or more per week was significantly associated (p < 0.05) with an increased odds of using SHAs and MSRPs by 13% (Adjusted Odds Ratio, aOR =1.13, 95% Confidence Interval, CI=1.01:1.26) and 9% (aOR=1.09, 95% CI=1.03:1.16), respectively more than that among those who worked fewer hours. Females in our study had a higher likelihood (aOR=1.11, 95% CI=1.05:1.19) of using SHAs when compared to males. Also, professional services had the highest likelihood (aOR=1.31, 95% CI=1.14:1.50) of using SHAs.

CONCLUSION

We found that long working hours were significantly associated with an elevated use of SHAs and MSRPs among U.S. workers. Specifically, female workers and individuals working in professional services had the highest likelihood of using sleep medications.

Association between long working hours and physical inactivity in middle-aged and older adults: a Korean longitudinal study (2006-2020)

BACKGROUND

We investigated associations for long working hours in relation to physical inactivity and high-level physical activity among middle-aged and older adults.

METHODS

Our study included 5402 participants and 21 595 observations from the Korean Longitudinal Study of Ageing (2006-2020). Logistic mixed models were used to estimate ORs and 95% CIs. Physical inactivity was defined as not engaging in any type of physical activity, while high-level physical activity was defined as engaging in ≥150 min per week of physical activity.

RESULTS

Working >40 hours weekly was positively related to physical inactivity (OR (95% CI) 1.48 (1.35 to 1.61)) and negatively related to high-level physical activity (0.72 (95% CI 0.65 to 0.79)). Exposure to long working hours consecutively for ≥3 waves was associated with the highest OR for physical inactivity (1.62 (95% CI 1.42 to 1.85)) and the lowest OR for high-level physical activity (0.71 (95% CI 0.62 to 0.82)). Furthermore, compared with persistent short working hours (≤40 hours → ≤40 hours), long working hours in a previous wave (>40 hours → ≤40 hours) were associated with a higher OR of physical inactivity (1.28 (95% CI 1.11 to 1.49)). Exposure to an increase in working hours (≤40 hours → >40 hours) was also associated with a higher OR of physical inactivity (1.53 (95% CI 1.29 to 1.82)).

CONCLUSION

We found that having working long hours was associated with a higher risk of physical inactivity and a lower likelihood of high-level physical activity. Moreover, accumulation of long working hours was associated with a higher risk of physical inactivity.

Longer working hours and musculoskeletal pain: a meta-analysis

Objectives. Musculoskeletal pain is the most common health problem in the workplace, and one of the most important risk factors for this pain is longer working hours. This study aimed to investigate the association between long working hours and musculoskeletal pain. Methods. Based on the keywords, two scientific sources - PubMed and Embase - were reviewed. The time limit search included articles that were published until May 2020 and only studies published in English were eligible. The results of the studies were combined based on random effects and pooled odds ratio (OR) reported. The degree of heterogeneity in all analyses was investigated and reported based on χ² and I² tests. Publishing bias was also measured using statistical tests. Results. Longer working hours are associated with increased musculoskeletal pain with OR = 1.11 and 95% confidence interval (CI) [1.08, 1.14]. The result was OR = 1.52 and 95% CI [1.14, 2.03] in men and OR = 1.11 and 95% CI [1.00, 1.24] in women. Conclusion. Long working hours are an important and threatening factor for musculoskeletal health. Therefore, this issue should be considered in health policy as well as treatment and prevention.

COVID-19 Pandemic and Its Effect on Resident Physicians' Mental Well-Being: A Cross-Sectional Study in Kuwait

OBJECTIVE

Concerns about COVID-19's long-term consequences on the mental health of frontline health professionals are mounting as the entire world strives anew to contain it. The primary objective of this research is to describe the impact of working during the COVID-19 pandemic on resident physicians' mental health.

SUBJECT AND METHODS

A cross-sectional online survey using the Google Forms platform was conducted from May 1 to May 30, 2021, on 311 residents currently enrolled in a residency program at the Kuwait Institutional of Medical Specialization (KIMS). Socio-demographic details of each resident physician were collected and the scores related to depression, anxiety, and stress were measured using the previously validated depression anxiety stress scale-21 (DASS-21).

RESULTS

Higher stress and depression scores were seen in those who were devoid of the option to work with COVID-19 patients, who reported that working during the pandemic affected their study schedule, and who lost off-service training time. Further, the anxiety scores were significantly higher in females.

CONCLUSION

The impact of the ongoing pandemic on residents' mental health is grave, necessitating psychological treatment and support. The study discovered various factors linked to depression, anxiety, and stress. As a result, these aspects must be regarded to protect the doctors' mental health.

Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort

BACKGROUND

This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption.

METHODS

In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use when appropriate.

RESULTS

Working at night was associated with decreased smoking cessation and increased relapse in women [odds ratios (ORs) of 0.81 and 1.25], increased cannabis use in men [ORs from 1.46 to 1.54] and increased alcohol use [ORs from 1.12 to 1.14] in both men and women. Weekend work was associated with decreased smoking cessation in women [ORs from 0.89 to 0.90] and increased alcohol use in both men and women [ORs from 1.09 to 1.14]. Non-fixed hours were associated with decreased smoking cessation in women and increased relapse in men [ORs of 0.89 and 1.13] and increased alcohol use in both men and women [ORs from 1.12 to 1.19]. Overall, atypical working hours were associated with decreased sugar and fat consumption.

CONCLUSIONS

The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies.

Long Working Hours and the Risk of Glucose Intolerance: A Cohort Study

Long working hours have negative effects on the health of workers. Several studies have reported the association between long working hours and both diabetes and prediabetes. Therefore, we aimed to examine the temporal relationship between long working hours and glucose intolerance. Our cohort study collected data from 25,803 healthy male participants at baseline. To evaluate the risk of incident glucose intolerance, we estimated the hazard ratios (HRs) and 95% confidence intervals (CIs) using the Cox proportional hazards regression analyses. During 77,605.0 person-years of follow-up, 6741 participants developed glucose intolerance. Multivariable-adjusted HRs (95% CI) for weekly working 41-52 and >52 h compared with working 35-40 h, were 1.28 (1.17-1.40) and 2.80 (2.54-3.09), respectively. In the dose-response analyses, long working hours had a nearly linear relationship with the development of glucose intolerance across most working hours per week. The association between long working hours and incident glucose intolerance was stronger in the younger-age subgroups than in the older-age subgroups (p for interaction <0.001). Our large-scale cohort study demonstrated that long working hours were associated with incident glucose intolerance, with a dose-response relationship.

Association between changes in working status and hand-grip strength among Korean middle-aged and older adults: a longitudinal panel study

We investigated the association between working status changes and hand-grip strength (HGS) among middle-aged and older Korean adults using data from the 2006–2018 Korean Longitudinal Study of Aging. After excluding those with less than normal HGS in the baseline year, newly added panels, and missing values, 3843 participants (2106 men; 1737 women) were finally included. After adjusting for potential confounders, we used a 2-year lagged multivariable generalized estimating equation model to examine this association longitudinally. Men who quit working or who continued to be non-working were more likely to have lower HGS than those who continued to work (working → non-working, adjusted odds ratio [OR]: 1.47, 95% confidence interval [CI] 1.26–1.70; non-working → non-working, adjusted OR: 1.52, 95% CI 1.34–1.72). Compared to women who continued to work, the other three groups showed high ORs with low HGS (working → non-working, adjusted OR: 1.19, 95% CI 1.01–1.40; non-working → working, adjusted OR: 1.18, 95% CI 0.98–1.42; non-working → non-working, adjusted OR: 1.38, 95% CI 1.22–1.56). Middle-aged and older adults whose working status changed to non-working were at higher risk of reduced HGS than others and required muscular strength training interventions to improve HGS and prevent sarcopenia.

The association between workplace built environment and metabolic health: A systematic review and meta-analysis

BACKGROUND

Metabolic health is one of the key determinants of healthy living. Specifically, maintaining healthy weight, regulation of blood pressure, lipids and glucose over the life course have been reported to be protective on chronic diseases and premature mortality. With the global workforce spending, on average, one-third of the weekly time budget in the workplace, the role of workplace environment in enhancing metabolic health becomes important. However, there has thus far been no review synthesizing evidence on the links between workplace built environment and metabolic health.

METHODS

A systematic review and meta-analysis was conducted synthesizing evidence on the associations of built environment attributes measured within the workplace neighbourhood and metabolic health. A total of 16 studies that fulfilled the inclusion/exclusion criteria were identified via systematic search of English language peer-refereed publications up to July 2021, in six databases. A systematic coding system was developed, indicating significant findings in expected/unexpected directions including null findings, and the quality of the pooled study was assessed. The Weighted-Z test method that accounts for the study quality was used to examine the strength of evidence.

RESULTS

A quarter of the pooled studies were categorized to be of high quality. Among the workplace built environment attributes of access to/density of recreational facilities, street pattern, access to/density of destinations and services, and land use mix, very strong evidence was found for the association between access to/density of destinations and services and metabolic health (p < 0.001); specifically, access to full service establishments such as supermarkets, grocery stores and restaurants (p = 0.001). A relatively weak association between proximity to workplace and metabolic health (p = 0.019) was also reported.

DISCUSSION

Given the lack of high quality studies, overall confidence in the currently available evidence is 'low'. Well-designed longitudinal studies with rigorous measurements for exposures and outcome variables are necessary.

Long Work Hours, Overtime, and Worker Health Impairment: A Cross-Sectional Study among Stone, Sand, and Gravel Mine Workers

Background: Research has shown that long work hours and overtime are associated with health impairment, including stress, burnout, and overall health. However, this has not been thoroughly assessed among stone, sand, and gravel mine workers. As such, this study examined whether significant differences in stress, burnout, and overall health existed among workers that worked different hours each week. Methods: ANOVA analyses were completed for the outcome variables (stress, burnout, and health status). Each analysis included three categorical independent variables: age, sex, and work hours. Age and sex were control variables. BMI was added to the health status analysis as an additional control variable. Results: There were significant differences between work hour groups for all three outcomes. Post hoc analyses determined that workers working >60 h/week had more stress, more burnout, and lower health. Differences were not found between age or sex. There were no differences in health status for different BMI groups, but the interaction of BMI and work hours was significant. Conclusions: Working more than 60 h per week was problematic. Mine and safety administrators should enact programs to protect and promote worker health, particularly among those working long hours, especially if more than 60 h per week.

Working Hours, Sleep Disturbance and Self-Assessed Health in Men and Women: A Multilevel Analysis of 30 Countries in Europe

Objectives

This study examined the gender and cross-country differences in the relationship between working hours and self-assessed health among working men and women in Europe, and further explored the moderating role of sleep disturbance in the relationship.

Methods

We used cross-sectional data from the 6th European Working Condition Survey on 14,603 men and 15,486 women across 30 countries in Europe. A multivariate logistic regression was applied to evaluate the relationship between working hours, sleep disturbance, and self- assessed health. In addition, we employed a two-stage multilevel logistic regression to assess the cross-country variations in the relationship between working hours and self-assessed health.

Results

The study showed a slightly U-shaped relationship between working hours and less-than-good self-assessed health among working adults in Europe (<31 h: aOR = 1.11; 95% CI: 1.00-1.25, 41-50 h: aOR = 0.98; 95% CI: 0.84-1.15, and 50+ h: aOR = 1.31; 95% CI: 1.07-1.59). However, working men had higher odds of reporting less-than-good self-assessed health as compared to women when they devote longer hours to paid work. The results further showed that there are cross-country variations in the association between working hours and less-than-good self-assessed health for both men and women, and that men had slightly lower variations as compared to women. Contrary to expectation, sleep disturbance did not moderate the relationship between working hours and less-than-good self-assessed health for both men and women in Europe.

Conclusions

Although there are gender differences and cross-country variations in the association between working hours and less-than-good self-assessed health, sleep disturbance did not moderate the associations. These findings underscore the importance for strict work time regulation and generous work-family policies that may promote good working conditions and health.

Time for Physical Activity: Different, Unequal, Gendered

We investigate time inequity as an explanatory mechanism for gendered physical activity disparity. Our mixed-effect generalized linear model with two-stage residual inclusion framework uses longitudinal data, capturing differing exchanges and trade-offs in time resources. The first stage estimates within-household exchanges of paid and family work hours. Estimates show that men's employment increases women's family work hours while reducing their own, whereas women's employment weakly affects men's family time. Incorporating unequal household exchange into the second stage reveals that as women's paid or family work hours increase, physical activity goes down. In contrast, men's physical activity is unaffected by paid work hours, and family time appears protective. Control over work time further underscores gendered time exchange: Men's activity increases with own or partner's control, whereas women's increases only with their own. Our approach reveals how men's and women's unequal capability to use time creates differing trade-offs between work, family, and physical activity, generating health inequity.

The Effect of Commuting Time on Job Stress in Obese Men With Different Exercise Frequency in China

Previous studies have mainly focused on the independent impact of commuting time, exercise, and stress on people. There are few studies regarding the impact of the combined effect of multiple factors on special populations such as obese people. As obesity has become increasingly widespread in China, we studied the impact of commuting time on work stress on Chinese obese men (who exercise regularly vs. who exercise irregularly). We performed a secondary retrospective analysis of the cross-sectional data from the 2014 China Labor Force Dynamics Survey. We found that long commute times and less exercise have a positive effect on the increase in stress, but the effect is less evident for people who exercise regularly. Commuters traveling on foot are more stressed than those traveling by car. This study also found that commuting time had a significant impact on the perceived work stress of obese men who exercised irregularly. But the relationship between commuting time and work stress was different among groups with different commuting styles. For obese men who commuted on foot or motorcycle, commuting time had a significant impact on their job stress. However, for obese men who commuted by bicycle, bus, or car, commuting time had no significant effect on job stress. Additionally, active and passive commuting have different effects on stress. Active commuters tend to be more stressed, while passive commuters do not show a significant impact.

Does an increase in working hours affect mortality risk? The relationship between working hours and mortality among the older population

BACKGROUND

Population aging, caused by an increase in life expectancy and decrease in fertility rates, has created changes and challenges in various spheres, including the labor market. Though health deteriorates with age, more and more older adults choose to stay in the labor force and work into late life.

OBJECTIVE

Understanding the effects of various work conditions on the health of older workers is crucial for designing policies and interventions to ensure healthy late life and maintain a productive workforce. To contribute to this endeavor, this study investigates the relationship between long working hours (LWH) and mortality among older populations.

METHODS

The study uses the Cox proportional hazards regression model to investigate data from the Health and Retirement Survey (HRS) between the years 1992-2016, a longitudinal nationally representative dataset from the United States.

RESULTS

The results indicate that working 50 hours or more per week is not associated with an increased risk of mortality, for the full sample (1.45 [95% CI: 0.86, 2.45]), for both genders (females 0.51 [95% CI: 0.06, 4.28], males 1.45 [95% CI: 0.81, 2.61]), and for immigrants (female immigrants 0.55 [95% CI: 0.06, 4.75], male immigrants 1.44 [95% CI: 0.79, 2.62]).

CONCLUSIONS

This analysis confirms and extends the findings of earlier studies by taking into consideration the potential impact of many demographic, socioeconomic, work-related and health-related factors.

Long working hours are associated with a higher risk of non-alcoholic fatty liver disease: A large population-based Korean cohort study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD), a common chronic liver disease, may progress to fibrosis, cirrhosis, hepatocellular carcinoma, and liver failure. But only a few cross-sectional studies have reported an association of NAFLD with working hours. This cohort study further examined the association between working hours and the development of NAFLD.

METHODS

We included 79,048 Korean adults without NAFLD at baseline who underwent a comprehensive health examination and categorized weekly working hours into 35-40, 41-52, 53-60, and >60 hours. NAFLD was defined as the presence of fatty liver, in the absence of excessive alcohol use, as observed by ultrasound.

RESULTS

During a median follow-up of 6.6 years, 15,095 participants developed new-onset NAFLD (incidence rate, 5.55 per 100 person-years). After adjustment for confounders, the hazard ratios (95% confidence interval) for the development of NAFLD in 41-52, 53-60, and >60 working hours compared with that in 35-40 working hours were 1.07 (1.02-1.13), 1.06 (1.00-1.13), and 1.13 (1.05-1.23), respectively. Furthermore, the association remained significant after confounders were treated as time-varying covariates.

CONCLUSION

In this large-scale cohort, long working hours, especially >60 working hours a week, were independently associated with incident NAFLD. Our findings indicate that long working hours are a risk factor for NAFLD.

Impact of long working hours on health based on observations in China

BACKGROUND

Health should be a key focus in considerations of long working hours. Little is known about for which groups of people working longer hours is more harmful to their health. Additionally, the definition of long working hours varies slightly due to country differences in working hours systems. Therefore, this study aims to explore the association between long working hours and the self-rated health (SRH) level, taking into account gender and educational differences.

METHOD

Data were collected from two waves (2016 and 2018) of the China Family Panel Studies (CFPS). A total of 6972 workers were available for analysis. Descriptive statistical analysis, an ordered probit (oprobit) model and conditional mixed process (CMP) regression analyses were used to analyze the data. Furthermore, I conducted a stratified analysis by gender and education groups.

RESULT

This study observed a negative association between long working hours and SRH. Compared to other education groups, labor with long working hours had a more negative impact on the SRH of those with higher education. Long working hours had a more negative influence on the SRH of male workers. In contrast, no clear association was found among female workers.

CONCLUSION

This study estimates SRH of those with long working hours in China. Among workers, long working hours have a negative impact on the health of workers with college degrees or beyond. One possible explanation is that they do not exercise, their diet is unreasonable, and their working conditions involve chronic exposure to computer radiation. The negative health effects of long working hours on males are four times greater than those on females. This study provides valuable insights into the health of the workforce, working time regulations and overtime rules.

Dose-response relationship between working hours and hypertension: A 22-year follow-up study

Hypertension causes a substantial burden to society. Some studies found that hypertension was associated with the working type and working hours. The purpose of the current study is to assess the dose-response relationship between working hours and hypertension.Data of 12,080 adults aged 18 to 65 years who attended the China Health and Nutrition Survey (CHNS) between 1989 and 2011 were analyzed. Hypertension was determined based on systolic and/or diastolic blood pressure measures, or having doctor-diagnosed hypertension. Multivariable Cox regression and restricted cubic spline to assess the dose-response relationship between working hours and hypertension.A total of 12,080 participants including 5852 females and 6228 males. By the last follow-up (2011), a total of 830 participants were hypertensive, with an incidence of 6.9%. After adjusting socio-demographic, lifestyle factors, as well as occupation type, compared with those who worked 35 to 49 hours per week, participants who worked no more than 34 hours per week (HR: 1.21, 95%CI: 1.03-1.41) and at least 56 hours per week (HR: 1.38, 95%CI: 1.19-1.59) had a higher risk of hypertension. The significant association between long working hours (at least 56 hours per week) and hypertension was observed among females (HR: 1.38, 95%CI: 1.16-1.64) and males (HR: 1.36, 95%CI: 1.04-1.78). Among manual workers, the relationship between long working hours and hypertension was observed (HR: 1.49, 95%CI: 1.10-2.02). The relationship between long working hours (HR: 1.21, 95%CI: 1.01-1.44) and short working hours (HR: 1.37, 95%CI: 1.16-1.61) and hypertension was observed among nonmanual workers. The hazard ratio of hypertension and working time displayed U-shape non-linear relationship (Ptrend < .001, non-linear P < .001). The non-linear response-dose relationship was found in manual worker, nonmanual worker, and male (Ptrend < .001, non-linear P < .001).The association between working time and hypertension showed U-shape relationship. Specifically, overtime work was an important occupational risk factors for adults, and short work time was related to hazard ratio of hypertension in nonmanual workers.

Long Working Hours and Risk of Recurrent Coronary Events

BACKGROUND

Evidence from prospective studies has suggested that long working hours are associated with incident coronary heart disease (CHD) events. However, no previous study has examined whether long working hours are associated with an increased risk of recurrent CHD events among patients returning to work after a first myocardial infarction (MI).

OBJECTIVES

The purpose of this study was to examine the effect of long working hours on the risk of recurrent CHD events.

METHODS

This is a prospective cohort study of 967 men and women age 35 to 59 years who returned to work after a first MI. Patients were recruited from 30 hospitals across the province of Quebec, Canada. The mean follow-up duration was 5.9 years. Long working hours were assessed on average 6 weeks after their return to work. Incident CHD events (fatal or nonfatal MI and unstable angina) occurring during follow-up were determined using patients' medical files. Hazard ratios were estimated using Cox proportional hazard regression models. Splines and fractional polynomial regressions were used for flexible exposure and time modeling.

RESULTS

Recurrent CHD events occurred among 205 patients. Participants working long hours (≥55 h/week) had a higher risk of recurrent CHD events after controlling for sociodemographics, lifestyle-related risk factors, clinical risk factors, work environment factors, and personality factors (hazard ratio vs. 35 to 40 h/week: 1.67; 95% confidence interval: 1.10 to 2.53). These results showed a linear risk increase after 40 h/week and a stronger effect after the first 4 years of follow-up and when long working hours are combined with job strain.

CONCLUSIONS

Among patients returning to work after a first MI, longer working hours per week is associated with an increased risk of recurrent CHD events. Secondary prevention interventions aiming to reduce the number of working hours among these patients may lower the risk of CHD recurrence.

The relationship between working hours and lifestyle behaviors: Evidence from a population-based panel study in Korea

OBJECTIVES

This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.

METHODS

We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (<40, 40, 41-52, and >52) were calculated, using generalized estimating equation models considering repeated measures.

RESULTS

Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.

CONCLUSION

Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep.

A longitudinal study of working hours and chronic kidney disease in healthy workers: The Kangbuk Samsung Health Study

OBJECTIVES

Long working hours are linked to an increased risk of exposure to work safety hazards that threaten the health of workers. To date, only a few cross-sectional studies regarding the relationship between working characteristics, such as over-workload and chronic kidney disease (CKD) have been reported. Therefore, in this longitudinal study, we aimed to examine the direct relationship between long working hours and the incidence of CKD.

METHODS

We included 97 856 participants without CKD in the Kangbuk Samsung Health Study. Using a self-report questionnaire, we evaluated weekly working hours, which were categorized into 35-40, 41-52, and >52 hours. CKD was defined as estimated glomerular filtration rate <60 mL/min/1.73 m2 . Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CKD were estimated using Cox proportional hazards regression analyses with weekly working 35-40 hours as the reference.

RESULTS

During a median follow-up of 4.0 years, 185 participants developed incident CKD (incidence density, 4.83 per 104 person-years). Multivariable-adjusted HRs (95% CI) of incident CKD for weekly working >52 hours compared with working 35-40 hours were 1.99 (1.22-3.25). In subgroup analyses, the significant association between working >52 hours and incident CKD was consistently observed in groups of age ≥40 years, men, and obesity with no interaction.

CONCLUSIONS

Our large-scale cohort study of young- to middle-aged men and women demonstrated a significant association between long working hours and an increased risk of incident CKD.

Investigating the relationship between working time characteristics on musculoskeletal symptoms: a cross sectional study

How working hours are organized can have a substantial effect on workers' health. Using a questionnaire and cross-sectional study design, we evaluated the relationship between working time characteristics, job demands, and health behaviors on musculoskeletal symptoms among 316 Department of Transportation (N = 174) and Department of Corrections (N = 142) workers. Low schedule control was associated with neck/shoulder musculoskeletal symptoms (prevalence ratio: 1.20, 95% confidence interval: 1.06-1.34, p < 0.01), and working long (>48 hours per week) hours more frequently was associated with leg/foot musculoskeletal symptoms (prevalence ratio: 1.26 95% confidence interval: 1.06-1.50, p = 0.02). Some working time characteristics were associated with musculoskeletal symptoms, and should be taken into consideration as part of interventions to prevent musculoskeletal disorders and promote health of workers.

Effect of Long Working Hours on Cardiovascular Disease in South Korean Workers: A Longitudinal Study

This study aimed to examine the association between working hours and onset of cardiovascular diseases (CVDs) using a prospective study design. We used the Korean Longitudinal Study of Aging (KLoSA) data from 2006 to 2016. A total of 2405 workers who were working 35 hours or more per week and who did not have CVD at baseline were analyzed. Cox proportional hazard model was used for the analysis to determine the association between working hours per week at baseline and the new onset of CVD. In addition, multivariable logistic regression analysis was used to test the relationship between average working hours throughout the entire follow-up period and the risk of CVD (N = 1134). Working above 52 hours per week at baseline was related to higher risk of CVD than working between 35 and 40 hours a week (hazard ratio [HR] = 2.08, 95% confidence interval [CI] = 1.60-2.70 for 52-60 hours; HR = 1.38, 95% CI = 1.05-1.81 for >60 hours). A worker's average working hours throughout the following period were also significantly associated with elevated risks of CVD (odds ratio = 4.40, 95% CI = 1.58-12.22 for >60 hours). The findings underline the need for more proactive interventions to protect the health of workers exposed to long working hours.

Salaried Workers' Self-Perceived Health and Psychosocial Risk in Guayaquil, Ecuador

Self-perceived health is an important indicator of occupational health. This research explored the relationship between poor self-perceived health and exposure to psychosocial risk factors, taking into account potential socio-demographic, occupational, and employment determinants. Using data from the First Survey of Occupational Safety and Health Conditions, covering 1049 salaried workers in Guayaquil, Ecuador, descriptive and stratified binary logistic regression analyses (odds ratios with corresponding 95% confidence intervals) were carried out. A significant relationship was found between exposure to psychosocial risk factors and the probability of presenting poor self-perceived health by socio-demographic, occupational, and employment characteristics. Occupational exposure factors to psychosocial risks were predictors of self-perceived ill health and were related to the variables analyzed; the most frequently expressed factors among the respondents were cognitive demands (DCOG) and job insecurity (IL). The results have implications in terms of designing effective workplace interventions pursuant to ensuring the health and well-being of employees.

Effect of long work hours and shift work on high-sensitivity C-reactive protein levels among Korean workers

Objective We aimed to investigate the association between low-grade inflammation as indicated by high-sensitivity C-reactive protein (hsCRP) level and organizational factors, such as work hours and shift work. Methods We evaluated 7470 young and middle-aged workers who participated in the Korea National Health and Nutrition Examination Surveys from 2015-2018. Work hours were determined from self-reported questionnaires. Shift work was defined as a non-daytime fixed work schedule. An interaction effect between shift work and long work hours on the hsCRP level was estimated using relative excess risk due to interaction (RERI) and attributable proportion (AP) with 95% confidence intervals (CI). Results Increased hsCRP levels were prevalent in 25.2% of the study population. There was a significant association between long work hours and increased hsCRP, especially among middle-aged men [odds ratio (OR) 1.50 (95% CI 1.20-1.87) for moderately increased hsCRP and OR 1.62 (95% CI 1.14-2.30) for highly increased hsCRP]. There was a significant interaction effect between long work hours and shift work on increased hsCRP among middle-aged workers. The RERI were 0.03 (95% CI 0.02-0.04) and 0.56 (95% CI 0.45-0.68) among middle-aged men and women, respectively. The AP were 0.02 (95% CI 0.01-0.03) and 0.36 (95% CI 0.31-0.40) among middle-aged men and women, respectively. Conclusion There was no significant association between shift work and the level of hsCRP. Long work hours were related to low-grade inflammatory processes, but only in middle-aged workers. There was an interaction effect between long work hours and shift work for increased hsCRP, especially in middle-aged women.

Examining the Effects of Overtime Work on Subjective Social Status and Social Inclusion in the Chinese Context

Although researchers have argued that long work hours have been shown to threaten individual health, lead to work-family conflict, and reduce job performance, the effect of overtime work on social-related outcomes has received little attention. Based on the framework of relative deprivation, we attempt to address this important issue by exploring whether, why, and when individuals’ overtime work influences their social attitudes. By using the data of 400 Chinese employees from the China Labor-Force Dynamics Survey (CLD), we found that overtime work was associated with a low level of subjective social status and social inclusion. In addition, we found that the time type of overtime work (work overtime on weekdays or on weekends and holidays) has a moderating effect on the relationship between overtime work and social inclusion. That is, employees who work overtime on weekdays are unlikely to have a sense of social inclusion. Furthermore, the negative relationship between overtime work and subjective social status was stronger at a low level of fairness rather than a high level of fairness. In contrast, the negative relationship between overtime work and social inclusion was stronger at a high level of fairness rather than a low level of fairness. These findings highlight the critical role of overtime work in social life and also provide novel insights into social intervention aimed at the happiness and harmony of a society.

Perceptions of the impact of non-standard work schedules on health in Australian graduates: an exploratory study

Non-standard working hours are associated with negative health outcomes. However, little is known about the early years of exposure to non-standard work hours, or whether workers new to these work schedules perceive their work as impacting their health. This limits our ability to develop meaningful intervention strategies for transitioning into non-standard work hour schedules. This exploratory study investigated whether recent Australian graduates in various non-standard workhour schedules perceive that their work schedule negatively impacts their health. The responses of 120 graduates within four years of completing their tertiary qualification collected from an online survey were analysed. Graduates were asked whether they perceived their work arrangements as impacting their health. Significantly more of those who were engaged in non-standard work schedules or worked beyond contracted hours perceived their working arrangements as having an impact on their health. This study highlights the importance of studying workers' perceptions of the impact of work hours on health, particularly when workers may be experiencing good global health but be at risk for negative health outcomes in future.

Cross-sectional study of the association between long working hours and pre-diabetes: 2010-2017 Korea national health and nutrition examination survey

OBJECTIVE

Long working hours have been shown to raise the risk of various health outcomes. However, epidemiological evidence has shown inconsistent result in relation to type 2 diabetes mellitus (T2DM) and the association between long working hours and pre-diabetes among non-diabetic adults remains largely unexplored. We thus aimed to investigate whether long working hours were linked with pre-diabetes as determined by glycated haemoglobin (HbA1c) level.

DESIGN

Cross-sectional survey.

PARTICIPANTS

This study included 6324 men and 4001 women without diabetes from the 2010 to 2017 Korean National Health and Nutrition Examination Survey.

PRIMARY OUTCOME MEASURES

The study outcome of interest was pre-diabetes, defined as HbA1c values 5.7% to 6.4% RESULTS: Logistic regression was performed to obtain the ORs for pre-diabetes according to categories of work hour (40 hours/week, 41 to 52 hours/week, >52 hours/week), after adjusting for relevant covariates. Of the 10 325 eligible participants, 2261 (34.4%) men and 1317 (31.0%) women had pre-diabetes. No statistically significant relationship was found for women. In men, extended working hours (>52 hours per week) was associated with an increased likelihood of pre-diabetes, after adjustment for age, educational attainment, monthly household income, lifestyle related factors, perceived stress, family history of diabetes, hypertension, hypercholesterolaemia and other covariates (adjusted OR=1.22; 95% CI 1.03 to 1.46). In the subgroup analysis by occupational categories, the association was only apparent among men in blue-collar worker groups.

CONCLUSION

Extended working hours were significantly related to pre-diabetes in men, with no statistically significant association observed for women. Further subgroup analysis by occupational categories revealed that the increased odds of pre-diabetes associated with long working hours was only apparent among male workers of blue-collar occupations and shift workers.

Commuting time to work and behaviour-related health: a fixed-effect analysis

Objectives

Long commuting times are linked to poor health outcomes, but the evidence is mainly cross-sectional. We examined longitudinal within-individual associations between commuting time and behaviour-related health.

Methods

Data were from the Swedish Longitudinal Occupational Survey of Health study. We selected workers who responded to a minimum of two surveys conducted every other year between 2008 and 2018. We included all study waves with self-reported commuting time (ie, the exposure, 1–5, 6–10, 11–15 or ≥15 hours/week), body mass index (based on weight and height), physical (in)activity, smoking, alcohol use and sleep problems (ie, the outcomes) (N_individuals=20 376, N_observations=46 169). We used conditional logistic regression for fixed effects analyses that controls for time-varying confounders by design. Analyses were stratified by working hours: normal (30–40 hours/week) or longer than normal (>40 hours/week) and adjusted for time dependent covariates: age, marital status, occupational position, presence of children, chronic disease, depressive symptoms, job strain and shift work.

Results

Those working >40 hours/week had higher odds of physical inactivity (OR 1.25, 95% CI 1.03 to 1.51) and sleep problems (OR 1.16, 95% CI 1.00 to 1.35) when they were commuting >5 hours/week than when they were commuting 1–5 hours/week. Among women working normal hours, longer commuting time associated with lower odds of problem drinking.

Conclusion

Our findings suggest that lengthy commuting time increases the risk of physical inactivity and sleep problems if individuals have longer than normal weekly working hours. Effects of work arrangements that decrease commuting time should be examined in relation to health behaviours.

The Association Between Men's Heath Behaviors and Interest in Workplace Health Promotion

Background: Predictors of men’s health behaviors and interest in workplace health promotion are not well known. The aim of this study was to describe men’s interest in workplace health promotion and associated health behaviors. Method: Male employees (N = 781) at six workplaces in British Columbia, Canada, were invited to complete a survey of their health behaviors, demographics, and interest in health promotion prior to implementation of a workplace health program. Findings: A total of 227 male employees (M_age = 43.6 years; SD = 12.1) completed the survey (response rate = 29%). Regarding health behaviors, 62.1% reported 150 weekly minutes of moderate-to-vigorous physical activity (MVPA), 29.3% consumed 5+ servings of fruit/vegetables per day, 56.8% reported 7+ hours sleep/night, 14.4% smoked, and 81.3% consumed alcohol. Men spent 50% of their workday sitting, and higher body mass index (BMI), higher income, and greater hours worked were related to greater hours sitting. Age was inversely related to MVPA. Alcohol consumption was lower among men who were older, had higher income, and worked fewer hours. Most men were interested in being physically active (85%), managing stress (85%), eating healthy (89%), and cancer screening (91%). Higher stage of change for physical activity (β = .20, p = .003) and fruit/vegetable consumption (β = .18, p = .027) were related to interest in these activities. Conclusions/Application to Practice: Occupational health providers should consider worker demographics and could support interventions that target individuals with varying levels of health behaviors given the importance of meeting the needs of often sedentary workers.

The Combined Effect of Long Working Hours and Low Job Control on Self-Rated Health: An Interaction Analysis

Objectives:

The aim of this study was to investigate the combined effects of long working hours and low job control on self-rated health.

Methods:

We analyzed employees’ data obtained from the third Korean Working Conditions Survey (KWCS). Multiple survey logistic analysis and postestimation commands were employed to estimate the relative excess risk due to interaction (RERI).

Results:

The odds ratio (OR) for poor self-rated health was 1.24 [95% confidence interval (95% CI): 1.13 to 1.35] for long working hours, 1.04 (95% CI: 0.97 to 1.13) for low job control, and 1.47 (95% CI: 1.33 to 1.62) for both long working hours and low job control. The RERI was 0.18 (95% CI: 0.02 to 0.34).

Conclusion:

These results imply that low job control may increase the negative influence of long working hours on self-rated health.

Prevalence of Metabolic Syndrome and Lifestyle Characteristics by Business Type among Japanese Workers in Small- and Medium-sized Enterprises

This cross-sectional study investigated the associations of business type with the prevalence of metabolic syndrome (MetS) and lifestyle characteristics among workers in small- and medium-sized enterprises. In total, data from 167,736 workers (114,746 men and 52,990 women) who participated in health checkups in 2013 were analyzed using multilevel logistic regression models. The odds ratios (ORs) of having MetS, defined based on the criteria of the joint interim statement, were significantly higher in employees of transportation businesses (reference OR =1) than in other business types among men (OR: 0.67-0.85) and similar result was observed among women (OR: 0.70-0.88). The prevalence of a smoking habit was significantly higher in transportation workers than in employees of other businesses for both men and women. Furthermore, male transportation workers were more likely to skip breakfast, engage in <1 h/day of walking, walk at a slower speed, and eat dinner just before going to bed. Female transportation workers were more likely to have gained 10 kg since the age of 20 years. In conclusion, the prevalence of MetS was higher in transportation workers than in workers from other businesses; the associated risk factors may also vary by sex. To effectively promote public health, the labor environment, such as the business type, should be considered.

The Effect of Long Working Hours and Overtime on Occupational Health: A Meta-Analysis of Evidence from 1998 to 2018

There has been no subsequent meta-analysis examining the effects of long working hours on health or occupational health since 1997. Therefore, this paper aims to conduct a meta-analysis covering studies after 1997 for a comparison. A total of 243 published records were extracted from electronic databases. The effects were measured by five conditions, namely, physiological health (PH), mental health (MH), health behaviours (HB), related health (RH), and nonspecified health (NH). The overall odds ratio between long working hours and occupational health was 1.245 (95% confidence interval (CI): 1.195-1.298). The condition of related health constituted the highest odds ratio value (1.465, 95% CI: 1.332-1.611). The potential moderators were study method, cut-point for long weekly working hours, and country of origin. Long working hours were shown to adversely affect the occupational health of workers. The management on safeguarding the occupational health of workers working long hours should be reinforced.

Long Working Hours and Poor Self-Rated Health in the Young Working Population in Korea

: This cross-sectional study investigated the association between long working hours and prevalence of poor self-rated health (SRH) in Korean young workers using data from the 6th Korea Youth Panel Survey 2007. A total of 3317 young wage workers were included. Weekly working hours were divided into four groups (36 to 40 hours, 41 to 52 hours, 53 to 60 hours, and more than 60 hours per week). Multiple logistic regression was performed to investigate the association between long working hours and SRH, adjusting for demographic and work-related factors. Long working hours were associated with increased risk of poor SRH, in both the men and women. Legal restriction on working hours should be suitably applied to help improve the health status of Korean young workers.

Long Working Hours and Job Quality in Europe: Gender and Welfare State Differences

Chronic extreme long working hours (LWH) have been found consistently associated with poor health status. However, the evidence for moderately LWH (41–60 h a week) is contradictory. Although poor job quality has been proposed as one of the mechanisms of this relationship, there are almost no studies about LWH and job quality. The objectives of this study were to analyze the association between moderately LWH and job quality in the EU27, as well as to examine differences by welfare regimes and gender. This is a cross-sectional study based on data from the 2010 European Working Conditions Survey. A subsample of employees from the EU27 aged 16–64 years who worked 30–60 h a week was selected (12,574 men and 8787 women). Overall, moderately LWH were not consistently associated with poor job quality except among women from Eastern European countries. Therefore, in the EU27 poor job quality does not seem to explain the relationship between moderately LWH and poor health status. The findings among women from Eastern European countries may be related to their weakened position in the labor market and to their work-family conflict resulting from a process of re-familisation that constrains their choices for a good job.

Long working hours, anthropometry, lung function, blood pressure and blood-based biomarkers: cross-sectional findings from the CONSTANCES study

Background

Although long working hours have been shown to be associated with the onset of cardiometabolic diseases, the clinical risk factor profile associated with long working hours remains unclear. We compared the clinical risk profile between people who worked long hours and those who reported being never exposed to long hours.

Methods

A cross-sectional study in 22 health screening centres in France was based on a random population-based sample of 75 709 participants aged 18–69 at study inception in 2012–2016 (the CONSTANCES study). The data included survey responses on working hours (never, former or current exposure to long working hours), covariates and standardised biomedical examinations including anthropometry, lung function, blood pressure and standard blood-based biomarkers.

Results

Among men, long working hours were associated with higher anthropometric markers (Body Mass Index, waist circumference and waist:hip ratio), adverse lipid levels, higher glucose, creatinine, white blood cells and higher alanine transaminase (adjusted mean differences in the standardised scale between the exposed and unexposed 0.02–0.12). The largest differences were found for Body Mass Index and waist circumference. A dose–response pattern with increasing years of working long hours was found for anthropometric markers, total cholesterol, glucose and gamma-glutamyltransferase. Among women, long working hours were associated with Body Mass Index and white blood cells.

Conclusion

In this study, men who worked long hours had slightly worse cardiometabolic and inflammatory profile than those who did not work long hours, especially with regard to anthropometric markers. In women, the corresponding associations were weak or absent.

Long Working Hours and Risk of Cardiovascular Disease

Purpose of Review

To summarize the evidence on the relationship between long working hours and cardiovascular disease, such as coronary heart disease and stroke.

Recent Findings

Large-scale meta-analyses with published and individual participant observational data on more than 740,000 men and women free of cardiovascular disease report a link between long working hours (≥ 55 h a week) and the onset of cardiovascular events. Our meta-analytic update of summary evidence suggests a 1.12-fold (95% CI 1.03–1.21) increased risk associated with coronary heart disease and a 1.21-fold (95% CI 1.01–1.45) increased risk of stroke, although the evidence is somewhat inconsistent and the possibility of residual confounding and bias cannot be ruled out. Few studies have examined the mechanisms which may be stress-related, behavioral, or biological. The recent pooled analyses suggest that increased cardiac electric instability and hypercoagulability might play a role.

Summary

The evidence that long working hours are a risk factor for cardiovascular disease is accumulating and suggests a small risk. Studies on the effects of long working hours in high-risk populations and those with pre-existing cardiovascular disease, mechanistic research, and intervention studies are needed to advance this research field.

The Effect of a Reduced Statutory Workweek on Familial Long-Term Care in Korea

Objectives: We examine how statutory workweeks affect workers’ provision of long-term care for their non-coresident elderly parents. Method: The Korean government reduced its statutory workweek from 44 to 40 hr, gradually from larger to smaller establishments, between 2004 and 2011. Using multiple regressions, we assess how the reduction affected visits, financial transfers, and in-kind transfers to parents. Annual longitudinal data come from the 2005 to 2013 waves of the Korea Labor and Income Panel Study. Results: The reduction caused an increase in the frequency of visits and in-kind transfers among male workers, with no significant impact on their financial transfers. Among female workers, we found no impact on any outcomes. Discussion: We interpret the findings within the context of developed Asian countries with long work hours and Confucian traditions, and suggest regulating workweeks as a policy tool to encourage familial long-term care in the rapidly aging societies.

The Change of Self-Rated Health According to Working Hours for Two Years by Gender

OBJECTIVE

The aim of this study was to confirm the association between working hours and self-rated health, and to find the degree of changes in health level by working hours according to gender.

METHODS

This study was based on the 929 workers (571 men and 358 women) from the Korean Labor and Income Panel Study during 2004⁻2006. To minimize the healthy worker effects, the study subjects included only those who did not have any chronic diseases, and who answered their health status as "moderate" or above in the baseline. Logistic regression analysis was used to confirm the associations between working hours and self-rated health.

RESULTS

In men, working hours per week of 47⁻52 h, 53⁻68 h, and >68 h were associated with 1.2, 1.3, and 1.1 times increases, respectively, in the odds ratio on worsened self-rated health, compared with the reference group (40⁻46 h). On the other hand, the risks were 1.0, 2.2, and 2.6 times increases in women. However, the results were different according to gender in the group with less than 40 h. The men with less than 40 h had a 0.9 times odds ratio on worsened self-rated health. For the women with less than 40 h, the odds ratio on self-rated health was 5.4 times higher than the reference group.

CONCLUSIONS

Working more than 52 h per week had a negative effect on health, regardless of gender. However, in the group with less than 40 h, the negative association between working hours and self-rated health were shown only in women. Health outcomes due to working hours may differ by gender. Therefore, further studies are needed to explore the causes of these results.

The association between long work hours and leisure-time physical activity and obesity

Obesity affects approximately one-third of all U.S. adults, presenting a large economic and public health burden. Long work hours may be contributing to the rising obesity problem by reducing time for physical activity, particularly for individuals working in sedentary occupations. This study sought to investigate the association between long work hours, leisure-time physical activity (LTPA), and obesity across levels of occupational activity in order to identify potentially vulnerable groups. Cross sectional analysis was performed in 2017 using data from the 2015 Georgia Behavioral Risk Factor Surveillance System and prevalence ratios were estimated across work hour and occupational activity groups. Ability to meet guidelines for LTPA did not differ significantly across work hour categories overall. Those working in low activity occupations were more likely to meet aerobic guidelines for LTPA compared to those in intermediate and high activity occupations (χ2: 19.3; P-value: <0.01). Results of interaction assessment demonstrate that the effects of work hours on obesity risk and meeting aerobic guidelines are significantly different across OA categories, indicating OA to be an effect modifier of the relationship between long work hours and obesity (χ2: 13.33; P-value: <0.001; χ2: 4.42; P-value: <0.05). Employees in intermediate activity occupations working long hours were found to be at the greatest risk for obesity. Further research is required to better understand the mechanisms impacting the relationship between long work hours, domains of physical activity, and obesity risk as well as to identify effective intervention and prevention programs for employees in intermediate activity occupations.

Association between Sleep Duration and Perceived Stress: Salaried Worker in Circumstances of High Workload

The aim of this study was to find the association between sleep duration and perceived stress in salaried workers according to occupational categories and which lifestyle factors affected those correlations in South Korea. This study used data from the 2015 Community Health Survey (CHS). The self-reported sleep duration was used as the dependent variable in this study. We explored sleep duration and stress awareness among salaried workers, as well as household income and educational level with multiple logistic regression analysis. Salaried workers who slept for five or less hours had a higher odds ratio for high-stress awareness (OR: 1.86, 95% CI: 1.74–1.98). Stress awareness is associated with short sleep duration; specialized workers, office workers, those with above mid-high household income and graduate, university, or college level workers especially need to sleep adequately to manage stress.

Employment stability and mental health in Spain: towards understanding the influence of gender and partner/marital status

Background

The growing demand for labour flexibility has resulted in decreasing employment stability that could be associated with poor mental health status. Few studies have analysed the whole of the work force in considering this association since research on flexible forms of employment traditionally analyses employed and unemployed people separately. The gender division of work, and family characteristics related to employment situation, could modify its association with mental wellbeing. The objective of the study was to examine the relationship between a continuum of employment stability and mental health taking into account gender and partner/marital status.

Methods

We selected 6859 men and 5106 women currently salaried or unemployed from the 2006 Spanish National Health Survey. Employment stability was measured through a continuum from the highest stability among employed to lowest probability of finding a stable job among the long-term unemployed. Mental health was measured with the 12-item version of the General Health Questionnaire. Logistic regression models were fitted for each combination of partner/marital status and gender.

Results

In all groups except among married women employment stability was related to poor mental health and a gradient between a continuum of employment stability and mental health status was found. For example, compared with permanent civil servants, married men with temporary contract showed an aOR = 1.58 (95%CI = 1.06–2.35), those working without a contract aOR = 2.15 (95%CI = 1.01–4.57) and aOR = 3.73 (95%CI = 2.43–5.74) and aOR = 5.35 (95%CI = 2.71–10.56) among unemployed of up to two years and more than two years, respectively. Among married and cohabiting people, the associations were stronger among men. Poor mental health status was related to poor employment stability among cohabiting women but not among married ones. The strongest association was observed among separated or divorced people.

Conclusions

There is a rise in poor mental health as the distance from stable employment grows. This result differs according to the interaction with gender and partner/marital status. In Spain this relationship seems to follow a pattern related to the gender division of work in married people but not in other partner/marital situations. Family and socioeconomic context can contribute to explain previous mixed results. Recommendations for research and for action are given.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5282-3) contains supplementary material, which is available to authorized users.

Health and well-being of Nepalese migrant workers abroad

Purpose

Although South Asia is a growing supplier of migrant labour, there is a paucity of research on the health and well-being of male Nepalese migrant workers. The purpose of this paper is to assess the health and mental well-being of Nepalese construction and factory workers employed in Malaysia, Qatar and Saudi Arabia.

Design/methodology/approach

A structured questionnaire administered, in and around Nepal’s international airport, to 403 migrants who had worked for over six months in their host countries. Logistic regression was used to investigate factors associated with self-reported health status and mental health symptoms.

Findings

Over 13 per cent reported poor or very poor health and nearly a quarter reported mental health issues. Whilst age and exercise were significantly associated with health status, poor work environments and perceived health risks were associated with both mental health issues and health status.

Research limitations/implications

The study is limited to males only and those working in the factories and the construction industry. To improve migrant health and mental well-being, Nepalese and host governments should consider mandatory health insurance and a range of pre-departure and arrival education around general literacy, mental health assessments and workplace health and safety.

Originality/value

There have been no known studies on the health and well-being of Nepalese migrant construction and factory workers in the Middle East and Malaysia. The strong association between self-reported poor health and perceived work environment is an important issue that policy makers in Nepal and destination countries should address.