Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40339, first published .
The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study

The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study

The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study

Authors of this article:

Kazuhiro Watanabe1 Author Orcid Image ;   Akizumi Tsutsumi1 Author Orcid Image

Journals

  1. Watanabe K, Tsutsumi A. Workers’ perceptions of mHealth services for physical activity and mental health: A qualitative study using a text-mining method. Environmental and Occupational Health Practice 2023;5(1):n/a View
  2. Watanabe K, Okusa S, Sato M, Miura H, Morimoto M, Tsutsumi A. mHealth Intervention to Promote Physical Activity Among Employees Using a Deep Learning Model for Passive Monitoring of Depression and Anxiety: Single-Arm Feasibility Trial. JMIR Formative Research 2023;7:e51334 View
  3. Arji G, Erfannia L, alirezaei S, Hemmat M. A systematic literature review and analysis of deep learning algorithms in mental disorders. Informatics in Medicine Unlocked 2023;40:101284 View
  4. Watanabe K, Hikichi H, Imamura K, Sakuraya A, Yoshikawa T, Izawa S, Eguchi H, Inoue A, Yoshida K, Orihashi Y, Tsutsumi A. Multifaceted ORganizational InterventiONs (M-ORION) project for prevention of depression and anxiety among workers: study protocol for a five-arm cluster randomized controlled trial. BMC Public Health 2024;24(1) View
  5. WATANABE K. Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning. Journal of UOEH 2024;46(1):119 View
  6. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View