0969 Predicting Differences Between Objective and Subjective Sleep Parameters with Mental Health Questionnaires

Abstract Introduction Differences between objectively and subjectively measured sleep can vary widely between participants and these differences may depend on individual characteristics, including mental health. The severity of mental health symptoms may be beneficial in assessing the magnitude of discrepancies between participants’ objective and subjective data. This secondary data analysis examined the predictivity of validated measures of post-traumatic stress symptoms, anxiety symptoms, and depressive symptoms on differences between sleep electroencephalogram (EEG) and actigraphy with sleep diary data. Methods Adults in the community (N=80; Mage=32.65 years, 63% female, 88.8% White) completed the Post-Traumatic Stress Disorder Checklist, State-Trait Anxiety Inventory, Quick Inventory of Depressive Symptomatology, and seven days of sleep assessment via sleep diaries, actigraphy, and EEG. The mean absolute value of differences between the sleep diary, actigraphy, and EEG data was calculated for total sleep time, time in bed (TIB), sleep efficiency, sleep onset latency (SOL), wakefulness after sleep onset, terminal wakefulness, and number of awakenings. Stepwise linear regression was used to examine whether the anxiety, post-traumatic stress, and depressive symptom scores were significant predictors of the objective-subjective differences between these sleep parameters. Results Depressive symptoms significantly predicted differences between EEG and sleep diary data for SOL, F(1,72)=9.958, p=.002, R2=0.121. Anxiety symptoms significantly predicted differences between actigraphy and sleep diary data for SOL, F(1,69)=6.335, p=.014, R2=0.084. Anxiety and post-traumatic stress symptoms significantly predicted differences between actigraphy and sleep diary data for TIB, F(2,70)=10.355, p Conclusion Anxiety, post-traumatic stress, and depressive symptoms significantly predicted EEG and actigraphy objective-subjective differences for SOL and TIB. To better assess whether these variations are due to measurement type or if there are individual characteristics responsible for the discrepancies (i.e., sleep state misperception, symptom of mental health), a larger sample with more longitudinal data is needed. Additionally, future studies may focus on clinical samples. For instance, SOL and TIB variations may be indicative of mental health concerns (i.e., hyperarousal, anxiety, depression). Support (if any) National Institutes of Health/National Institute of Allergy and Infectious Disease (R01AI128359-01), the Foundation for Rehabilitation Psychology, and the General Sleep Corporation.