O057 Sleep patterns and their associations with mental health and financial well-being in ride-hail drivers

Abstract Introduction Driving is an activity where the need for sleep and work schedules can clash, with potentially severe consequences. Ride-hail drivers may be at particular risk, as characteristics of this form of precarious employment impact both sleep opportunity and the overall well-being of drivers. This study aimed to explore characteristic profiles of sleep in ride-hail drivers, and evaluated the relationships between these profiles and both mental health and financial well-being. Methods One hundred ride-hail drivers (12% female) completed an online survey assessing their perspectives on their working conditions, financial well-being (assessed by the 5-item financial well-being scale), and various aspects of their health, including sleep duration, sleep quality (assessed by the PROMIS sleep disturbance scale (SF-4a)), and mental health (two-item PROMIS Global Mental Health). Latent Profile Analyses, utilizing both sleep duration and quality, were used to categorise participants into two distinct sleep profiles, poor sleepers (36%) and good sleepers (64%). A binary logistic regression model was then employed to investigate the predictors of these sleep profiles. Results Poor mental health was associated with an odds ratio of 0.34 (95% CI: 0.17, 0.65) for the poor sleep profile. Lower financial well-being was associated with an odds ratio of 0.51 (95% CI: 0.27, 0.95) for the poor sleep profile. Discussion These results support a relationship between mental health, financial well-being, and poor sleep among ride-hail drivers. These findings may contribute to more effective policies that address both the unfavourable working conditions and sleep quality of ride-hail drivers.