This paper is in the following e-collection/theme issue:

Sleep Monitoring, Sleep Quality, Sleep Disorders (222) mHealth for Data Collection and Research (1065) Insomnia and Sleep Hygiene (203) Fitness Trackers and Smart Pedometers/Accelerometers (606) Wearable Devices and Sensors (977) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1765) Digital Biomarkers and Digital Phenotyping (223)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67478, first published .
Exploring the Psychological and Physiological Insights Through Digital Phenotyping by Analyzing the Discrepancies Between Subjective Insomnia Severity and Activity-Based Objective Sleep Measures: Observational Cohort Study

Exploring the Psychological and Physiological Insights Through Digital Phenotyping by Analyzing the Discrepancies Between Subjective Insomnia Severity and Activity-Based Objective Sleep Measures: Observational Cohort Study

Exploring the Psychological and Physiological Insights Through Digital Phenotyping by Analyzing the Discrepancies Between Subjective Insomnia Severity and Activity-Based Objective Sleep Measures: Observational Cohort Study

Authors of this article:

Ji Won Yeom1 Author Orcid Image ;   Hyungju Kim2 Author Orcid Image ;   Seung Pil Pack3 Author Orcid Image ;   Heon-Jeong Lee1 Author Orcid Image ;   Taesu Cheong2 Author Orcid Image ;   Chul-Hyun Cho1, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics
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KOREA UNIVERSITY MEDICINE(고려대학교의료원) KOREA UNIVERSITY MEDICINE(고려대학교의료원) @KUMCnews

Can wearable tech decode insomnia? ????⌚ This study finds that subjective insomnia severity often doesn't match objective sleep data, highlighting the role of stress and beliefs in sleep perception. #고려대 #고려대학교 #korea #imnsonia @JMIR_JMH https://t.co/yWEAJ06o11

4:21 AM · Feb 10, 2025

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