Abstract
Work-life balance and job stress are critical to health and well-being. Long-haul truck driving (LHTD) is among the unhealthiest and most unsafe occupations in the U.S. Despite these disparities, there are no extant published studies examining the influence of work, stress and sleep outcomes on drivers’ work-life balance. The current study investigated whether adverse work organization, stress, and poor sleep health among LHTDs are significantly associated with work-life conflict. Logistic regression was used to examine how work organization characteristics, job stress, and sleep influenced perceived stress and a composite measure of work-life conflict among a sample of 260 U.S. LHTDs. The pattern of regression results dictated subsequent analyses using structural equation modeling (SEM). Perceived job stress was the only statistically significant predictor for work-life balance. Fast pace of work, sleep duration and sleep quality were predictors of perceived job stress. SEM further elucidated that stress mediates the influences of fast work pace, supervisor/coworker support, and low sleep duration on each of the individual work-life balance indicators. There is an urgent need to address work conditions of LHTDs to better support their health, well-being, and work-life balance. Specifically, the findings from this study illustrate that scheduling practices and sleep outcomes could alleviate job stress and need to be addressed to more effectively support work-life balance. Future research and interventions should focus on policy and systems-level change.
Highlights
The last four decades have been marked by drastic changes to work and employment conditions in the U.S and globally [1]
Long-haul truck driving (LHTD) typically get their rest in the sleeper berths of their truck cabs, with these sleep cycles being frequently interrupted by environmental factors, dispatchers, and other factors [89]
Our findings corroborate a growing body of literature that indicates that work conditions have significant implications for health disparities in the U.S and globally
Summary
Data collection for this study of U.S LHTDs took place at a large truck stop located in central. LHTDsdetailed took place at a largepapers truck that stopresulted located in central North Carolina. The for methods haveofbeen in previous from this. The methods have been further detailed in previous papers that resulted from data set [60,61]. The study used a cross-sectional, nonexperimental study design andthis an data set [60,61]. The study used a cross-sectional, nonexperimental study design and an interviewer-administered Truck Sleep
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