Comparison of self-reported and physiological sleep quality from consumer devices to depression and neurocognitive performance

Comparison of self-reported and physiological sleep quality from consumer devices to depression and neurocognitive performance | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Comparison of self-reported and physiological sleep quality from consumer devices to depression and neurocognitive performance Samir Akre, Zachary Cohen, Amelia Welborn, Tomislav Zbozinek, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4769246/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Feb, 2025 Read the published version in npj Digital Medicine → Version 1 posted 12 You are reading this latest preprint version Abstract This study examines the relationship between self-reported and physiologically measured sleep quality in individuals with depression and its impact on neurocognitive performance. Using data from 249 participants with medium to high 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 on the Patient Health Questionnaire-14, whereas physiological measures only detected “sleeping too much” and low libido. Notably, only self-reported sleep disturbances correlated significantly with neurocognitive performance. Physiological sleep was able to detect changes in the self-reported sleep quality domains of sleep medication use and sleep latency. These findings emphasize that self-reported and physiological sleep quality are not measuring the same construct, and both are important to monitor when studying sleep quality in relation to depression. Biological sciences/Psychology/Human behaviour Biological sciences/Computational biology and bioinformatics/Machine learning Biological sciences/Neuroscience/Circadian rhythms and sleep/Sleep Full Text Additional Declarations (Not answered) Supplementary Files SUPPLEMENTsleepquality.docx Cite Share Download PDF Status: Published Journal Publication published 09 Feb, 2025 Read the published version in npj Digital Medicine → Version 1 posted Editorial decision: revise 06 Nov, 2024 Review # 4 received at journal 05 Nov, 2024 Reviewer # 4 agreed at journal 23 Oct, 2024 Review # 3 received at journal 16 Sep, 2024 Reviewer # 3 agreed at journal 25 Aug, 2024 Review # 2 received at journal 23 Aug, 2024 Reviewer # 2 agreed at journal 14 Aug, 2024 Reviewer # 1 agreed at journal 09 Aug, 2024 Reviewers invited by journal 08 Aug, 2024 Editor assigned by journal 23 Jul, 2024 Submission checks completed at journal 23 Jul, 2024 First submitted to journal 19 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4769246","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":337735581,"identity":"a2c66ca0-eebd-44de-a984-7c8362a1e1d6","order_by":0,"name":"Samir 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