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

Sleep Monitoring, Sleep Quality, Sleep Disorders (268) mHealth for Data Collection and Research (1196) Insomnia and Sleep Hygiene (248) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Digital Biomarkers and Digital Phenotyping (284)

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 (2) Tweetations (1) Metrics

Journals

  1. Park T, Yang A, Kanth B, Pack S. Aptamers as Diagnostic and Therapeutic Agents for Aging and Age-Related Diseases. Biosensors 2025;15(4):232 View
  2. Kim A, Cho C, Suh S. The reliability and validity of the Korean version of the sleep health index using self-report measures and wearable-derived sleep metrics. Sleep and Breathing 2025;29(5) View