Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance.

ABSTRACT: This study examines the relationship between self-reported and physiologically measured sleep quality and their impact on neurocognitive performance in individuals with depression. Using data from 249 participants with medium to severe depression monitored over 13 weeks, sleep quality was assessed via retrospective self-report and physiological measures from consumer smartphones and smartwatches. Correlations between self-reported and physiological sleep measures were generally weak. Machine learning models revealed that self-reported sleep quality could detect all depression symptoms measured using the Patient Health Questionnaire-14, whereas physiological sleep measures detected "sleeping too much" and low libido. Notably, only self-reported sleep disturbances correlated significantly wi

SUBMITTER: Akre S 

PROVIDER: S-EPMC11808080 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature