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

Mobile Health (mhealth) (5222) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1764) Research Instruments, Questionnaires, and Tools (1214) Depression and Mood Disorders; Suicide Prevention (2490) Insomnia and Sleep Hygiene (313) Sleep Monitoring, Sleep Quality, Sleep Disorders (356)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48044, first published .
User viewing daily time tracking app on smartphone, showing time graph

Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study

Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study

Authors of this article:

Chen Lin1 Author Orcid Image ;   I-Ming Chen2, 3 Author Orcid Image ;   Hai-Hua Chuang4, 5, 6 Author Orcid Image ;   Zih-Wen Wang1 Author Orcid Image ;   Hsiao-Han Lin7 Author Orcid Image ;   Yu-Hsuan Lin2, 3, 7 Author Orcid Image
Article Authors Cited by (13) Tweetations (5) Metrics

Journals

  1. Chuang H, Lin C, Lee L, Chang H, She G, Lin Y. Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study. Journal of Medical Internet Research 2024;26:e50149 View
  2. Chen H, Lin C, Chang H, Chang J, Chuang H, Lin Y. Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities. Journal of Medical Internet Research 2024;26:e56144 View
  3. Liang H, Wu C, Lin C, Chang H, Lin Y, Chen S, Hsu W. Rest-Activity Rhythm Differences in Acute Rehabilitation Between Poststroke Patients and Non–Brain Disease Controls: Comparative Study. Journal of Medical Internet Research 2024;26:e49530 View
  4. Gubin D, Weinert D, Stefani O, Otsuka K, Borisenkov M, Cornelissen G. Wearables in Chronomedicine and Interpretation of Circadian Health. Diagnostics 2025;15(3):327 View
  5. Chen I, Lin C, She G, Chang H, Chuang H, Chen T, Lin Y, Guu T. Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions. Depression and Anxiety 2025;2025(1) View
  6. Teckentrup V, Rosická A, Donegan K, Gallagher E, Hanlon A, Gillan C. Digital questionnaire response time (DQRT): A ubiquitous and low-cost digital assay of cognitive processing speed. Behavior Research Methods 2025;57(7) View
  7. Wang Y, Chang H, Lin C, Lin Y, Chen T. Monitoring Kleine–Levin Syndrome Recovery Using Human‐Smartphone Interactions: A Digital Phenotyping Approach. Journal of Sleep Research 2026;35(2) View
  8. Lin H, Fang Y, Chin W, Lin C, Tang I, Huang Y. Gender Differences in Sleep and Circadian Parameters in Chronic Insomnia: A Comparative Study Using Subjective and Objective Measurements. Taiwanese Journal of Psychiatry 2025;39(3):149 View
  9. Saga M, Hammad Jaber Amin M, Eldouma M, Salem Othman M, Khalafalla El-Haj A, Hadi H, Ahmed M, Ahmed Shima A, Saeed A, Elmahdi M. Association between problematic smartphone use, sleep quality, and chronotype among Sudanese medical students during armed conflict: a cross-sectional study. Frontiers in Public Health 2026;14 View
  10. Lin Y, Lin C, Wu C, Chang H, Liang H, Chen S, Sung K, Hsu W. Association of Daily Activity Regularity With Functional Recovery in Patients With Stroke and Spinal Cord Injury: A Prospective Actigraphy Study. Annals of Rehabilitation Medicine 2026;50(4):302 View
  11. Zhang W, Zhao J, Guo C, Hu S, Zhang X, Liu X, Shen H, Zhang X, Cao F, Cui N. Reciprocal association between rest-activity rhythm and depression in young adults: An ecological momentary assessment study. Journal of Affective Disorders 2026;415:122437 View
  12. Lopaczynski A, Merranko J, Mak J, Gill M, Goldstein T, Fedor J, Low C, Levenson J, Birmaher B, Hafeman D. Agreement between smartphone-based mobile sensing and actigraphy sleep metrics in young people with bipolar disorder. Psychiatry Research 2026;366:117434 View
  13. Chen T, Lu T, Chang H, Lin Y. Smartphone-based digital phenotyping of sighted non–24-h sleep-wake disorder: A 258-d continuous circadian monitoring study. Chronobiology International 2026:1 View