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

New Methods (1032) Obesity (96) Mobile Health (mhealth) (3165) mHealth for Data Collection and Research (1087) Development and Evaluation of Research Methods, Instruments and Tools (638) Innovations and Technology for Physical Activity Education (825) Wearable Devices and Sensors (1002)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50149, first published .
Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study

Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study

Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study

Authors of this article:

Hai-Hua Chuang1, 2, 3, 4 Author Orcid Image ;   Chen Lin5 Author Orcid Image ;   Li-Ang Lee1, 4, 6 Author Orcid Image ;   Hsiang-Chih Chang7 Author Orcid Image ;   Guan-Jie She7 Author Orcid Image ;   Yu-Hsuan Lin7, 8, 9 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Bugro V, Sonina D. OBESITY AS A GLOBAL PROBLEM (LITERATURE REVIEW). Clinical and Preventive Medicine 2024;(7):157 View
  2. 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
  3. Huang W, Wang Q, Gao Y, Wang J, Wang F, Tang J. Impact of sleep chronotype on blood pressure and metabolic markers. Frontiers in Neurology 2025;16 View
  4. 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