0056 Sleep Characteristics Predict Metacognitive Functioning Above-and-Beyond Age, Education, and Mood

Abstract Introduction Metacognition, also-known-as subjective cognitive functioning, is an important predictor of decline and previous work has identified age, education, mental health symptoms as predictors. Sleep essential for optimal neurocognitive functioning; such, sleep may also play role in determining estimates metacognition. However, it currently unknown if associated with metacognition above-and-beyond known This study aimed to investigate whether characteristics, including insomnia symptoms, global health, regularity, were metacognitive functioning know predictors mood. Methods Participants (N=3284) included adults (Mage=42.7 years,48.5% female) who completed online investigating across the lifespan. self-reported their age education various questionnaires 6-item PROMIS Cognitive Function questionnaire, Patient Health Questionnaire-4 (PHQ-4), Insomnia Severity Index (ISI), RU-SATED Regularity Questionnaire (SRQ). Stepwise regression models used ISI, RU-SATED, SRQ scores predicted after accounting PHQ-4 scores. Results In Step 1 model, significantly (β=.146, t=8.44, p<.001; β=.086, t=4.97, p<.012). 2, significant while was no longer (β=-.589, t=-40.56, β=.03, t=2.10, p=.036). 3, not on PHQ-4, (β=-.346, t=-21.93, β=-.38, t=-20.20, β=.052, t=3.20, p=.001). 3 accounted a increase variance explained (∆R2=.121, F=497.07, p<.001). Conclusion are characteristics be part Moreover, because modifiable risk factor effective treatments, have potential treatment target decline. Further research needed sleep-metacognitive differs between common demographic groups disturbances predate declines or vice versa. Support (if any) National Institute Aging: Award K23AG049955 (PI: Dzierzewski).