0019 Drowsy Driving in a Community Sample: Associations with Sleep Duration, Insomnia Severity, Daytime Sleepiness, and Fatigue

Abstract Introduction Drowsy driving is an important public health concern. Yet, real-world data on drowsy patterns remains relatively scarce. The present study aimed to investigate reports of in a general community sample and whether these are associated with daytime nighttime sleep risk factors. Methods Data were obtained through the Sleep Health Activity, Diet, Environment, Socialization (SHADES) study, which recruited N=1,007 working-age adults from Philadelphia area. was assessed item CDC BRFSS, “During past 30 days, have you ever nodded off or fallen asleep, even just for brief moment, while driving?” Responses coded as “yes” “no” (or “don’t drive,” excluded). Sleep-related factors included duration (NHANES item, hours), insomnia (Insomnia Severity Index [ISI]), sleepiness (Epworth Sleepiness Scale [ESS]), fatigue (Fatigue [FSS]), medication use (PSQI item). Covariates age, sex, education, income, race/ethnicity, employment, body mass index, stress (Perceived Stress Scale). Results consisted N=738 adults, excluding those who did not drive days. After adjustment covariates, each hour 23% reduction likelihood (OR=0.77; 95%CI[0.66,0.89]; p<0.0005). Likelihood increased point ISI by 8% (OR=1.08; 95%CI[1.04,1.13]; p<0.0005), ESS 19% (OR=1.19; 95%CI[1.13,1.26]; FSS 4% (OR=1.04; 95%CI[1.02,1.06]; driving. In post-hoc model that combined duration, insomnia, sleepiness, fatigue, unique effects seen (OR=1.17; 95%CI[1.10.1.23]; p<0.0005) (OR=0.82; 95%CI[0.70,0.98]; p=0.026). Conclusion less more fatigue. These may overlap, though emerged most robust factor. showed also contributed variance otherwise unexplained other prevention efforts should focus sufficient screening targets. Support (If Any)