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

Formative Evaluation of Digital Health Interventions (3229) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Development and Evaluation of Research Methods, Instruments and Tools (743) mHealth for Data Collection and Research (1196) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Insomnia and Sleep Hygiene (248) Longitudinal and Cohort Studies in Public Health (411) Digital Biomarkers and Digital Phenotyping (284)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53441, first published .
Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Authors of this article:

Constanza M Vidal Bustamante1, 2 Author Orcid Image ;   Garth Coombs III1, 2 Author Orcid Image ;   Habiballah Rahimi-Eichi1, 2, 3, 4 Author Orcid Image ;   Patrick Mair1 Author Orcid Image ;   Jukka-Pekka Onnela5 Author Orcid Image ;   Justin T Baker3, 4 Author Orcid Image ;   Randy L Buckner1, 2, 4, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Soon C, Chua X, Leong R, Ong J, Massar S, Qin S, Chong K, Onnela J, Chee M. A longitudinal study of sleep in university freshmen: facilitating and impeding factors. SLEEPJ 2025;48(10) View
  2. Švihrová R, Marzorati D, Bechný M, Grossenbacher M, Ilchenko Y, Grossenbacher J, Tzovara A, Faraci F. Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study. Frontiers in Digital Health 2025;7 View