0694 Concordance Between Self-reported And Objectively-assessed Sleep Duration Among African-american Adults: Findings From The Jackson Heart Sleep Study

Abstract

STUDY OBJECTIVES Most epidemiological studies assess sleep duration using questionnaires. Interpreting this information requires understanding the extent to which self-reported habitual sleep reflects objectively-assessed sleep duration, particularly among African Americans, who are at risk for sleep health disparities. METHODS Among African-American participants of the Jackson Heart Sleep Study, we investigated differences in questionnaire-based self-assessed average sleep duration and self-assessed wake-bed time differences compared to actigraphy-based assessments of total sleep time and average time in bed. Linear regression models provided estimates of concordance between actigraphy-based and self-reported sleep duration. RESULTS Among 821 adults, self-assessed average sleep duration was lower than self-assessed wake-bed time differences (6.4 ± 1.4 vs. 7.5 ± 1.7 hours, p<0.0001). Mean actigraphy-based total sleep time was 6.6 ± 1.2 hours, and actigraphy-based average time in bed was 7.6 ± 1.2 hours. Self-assessed average sleep duration and actigraphy-based total sleep time were modestly correlated (r=0.28, p<0.0001). Self-assessed average sleep duration underestimated actigraphy-based total sleep time by -30.7 (95% confidence intervals (CI): -36.5 - -24.9) minutes. In contrast, self-assessed wake-bed time differences overestimated actigraphy-based total sleep time by 45.1 (95% CI: 38.6-51.5) minutes. In subgroup analyses, self-assessed average sleep duration underestimated actigraphy-based measures most strongly in those with insomnia symptoms. CONCLUSION Among African Americans, self-assessed average sleep duration underestimated objectively-measured sleep while self-assessed wake-bed time differences overestimated objectively-measured sleep. Sleep measurement property differences should be considered when investigating disparities in sleep and evaluating their associations with health outcomes.