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 a...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01493-6 |
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| author | Samir Akre Zachary D. Cohen Amelia Welborn Tomislav D. Zbozinek Brunilda Balliu Michelle G. Craske Alex A. T. Bui |
| author_facet | Samir Akre Zachary D. Cohen Amelia Welborn Tomislav D. Zbozinek Brunilda Balliu Michelle G. Craske Alex A. T. Bui |
| author_sort | Samir Akre |
| collection | DOAJ |
| description | 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 with neurocognitive performance, specifically with processing speed. Physiological sleep was able to detect changes in self-reported 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. |
| format | Article |
| id | doaj-art-5c90d03e46df4147a1e80c300ca42146 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-5c90d03e46df4147a1e80c300ca421462025-02-09T12:55:44ZengNature Portfolionpj Digital Medicine2398-63522025-02-018111210.1038/s41746-025-01493-6Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performanceSamir Akre0Zachary D. Cohen1Amelia Welborn2Tomislav D. Zbozinek3Brunilda Balliu4Michelle G. Craske5Alex A. T. Bui6Medical Informatics Home Area, University of CaliforniaDepartment of Psychology, University of ArizonaDepartment of Psychiatry and Biobehavioral Sciences, University of CaliforniaDepartment of Psychiatry and Biobehavioral Sciences, University of CaliforniaDepartment of Pathology and Laboratory Medicine, Department of Computational Medicine, and Department of Biostatistics, University of California, Los Angeles, 621 Charles E. Young Dr. SouthDepartment of Psychiatry and Biobehavioral Sciences, University of CaliforniaMedical Informatics Home Area, University of CaliforniaAbstract 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 with neurocognitive performance, specifically with processing speed. Physiological sleep was able to detect changes in self-reported 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.https://doi.org/10.1038/s41746-025-01493-6 |
| spellingShingle | Samir Akre Zachary D. Cohen Amelia Welborn Tomislav D. Zbozinek Brunilda Balliu Michelle G. Craske Alex A. T. Bui Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance npj Digital Medicine |
| title | Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| title_full | Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| title_fullStr | Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| title_full_unstemmed | Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| title_short | Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| title_sort | comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance |
| url | https://doi.org/10.1038/s41746-025-01493-6 |
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