Partners' overwork and individuals' wellbeing and experienced relationship quality

Overwork and the use of paid leave and flexible work policies in U.S. workplaces

Employees in today's workplace express strong desire for policies allowing for temporal flexibility (e.g., paid time off, schedule change, working from home), yet these policies are underutilized even when employees have them. We argue that an occupational norm that emphasizes long work hours is a key to understanding this puzzle. Using individual-level data from the Leave Module of the 2011 American Time Use Survey (supplemented with the 2017-2018 version), matched with occupation-level data constructed from O*NET and the American Community Surveys, we show that individuals working in occupations with higher prevalence of "overwork" (defined by working 50 or more hours per week) are less likely to use paid leave. For flexible work policies, the same pattern is found for childless men, fathers, and childless women, but mothers are more likely to use them in occupations with higher prevalence of overwork. Our decomposition analysis shows that widespread overwork in professional and managerial occupations offsets much of what makes them amenable to the use of leave and flexible work policies, relative to other occupations. These findings suggest that even when policies are available, the success of flexible work policies largely depends on how organizations tackle the overwork norm.

Long working hours and all-cause mortality in China: A 26-year follow-up study

OBJECTIVES

The relationship between long working hours and the risk of mortality has been debated in various countries. This study aimed to investigate the association between long working hours and all-cause mortality in a large population-based cohort in China.

METHODS

This retrospective cohort study (N=10 269) used a large, nationally representative data set [the China Health and Nutrition Surveys (CHNS)] from 1989 to 2015. Long working hours (≥55 hours per week) were compared to standard working hours (35-40 hours per week). The outcome measure was all-cause mortality. Hazard ratio (HR) for all-cause mortality was calculated from Cox proportional hazards regression models, with stratified analyses to assess differences in mortality risk among subgroups.

RESULTS

Among the participants, 411 deaths (3.52 per 1000 person-years) occurred during a median follow-up of 11.0 (range 4.0-18.0) years. After adjusting for covariates, long working hours were associated with a significantly increased risk of all-cause mortality [HR 1.49, 95% confidence intervals (CI) 1.02-2.18]. Stratified analyses revealed that this association was present only among men (HR 1.78, 95% CI 1.15-2.75) and smoking participants (HR 1.57, 95% CI 1.05-2.57).

CONCLUSION

This study provides evidence of an association between long working hours and all-cause mortality, which is specifically observed among men and smokers. Targeted interventions should be implemented to reduce excessive working hours and identify individuals at elevated risk, with support from labor organizations, policymakers, and employers.