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

Formative Evaluation of Digital Health Interventions (3229) Web-based and Mobile Health Interventions (4018) mHealth for Wellness, Behavior Change and Prevention (3315) Occupational Health and Ergonomics/Prevention at the Workplace (306) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Mobile Health (mhealth) (3464)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45678, first published .
Mobile Behavioral Health Coaching as a Preventive Intervention for Occupational Public Health: Retrospective Longitudinal Study

Mobile Behavioral Health Coaching as a Preventive Intervention for Occupational Public Health: Retrospective Longitudinal Study

Mobile Behavioral Health Coaching as a Preventive Intervention for Occupational Public Health: Retrospective Longitudinal Study

Authors of this article:

Sean Han Yang Toh1 Author Orcid Image ;   Sze Chi Lee1 Author Orcid Image ;   Oliver Sündermann1 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Prof Pritesh Patil , Vivaan Kukreja , Prathamesh Pardhi , Sejal Karad . Health Status Tracker Dashboard: An AI-Driven Approach to Personalized Health Monitoring and Recommendations. International Journal of Advanced Research in Science, Communication and Technology 2025:455 View
  2. Yokomitsu K, Oimatsu R, Toh S, Sündermann O. Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial. JMIR mHealth and uHealth 2025;13:e60871 View
  3. Reddy B, Kulkarni D, More V, Patil M, Punyani G. Next-Gen Surgery Assistance with IoT: Real-Time Health Monitoring of ECG, Cardiac Activity, and Neural Responses. International Journal of Preventive Medicine and Health 2025;5(5):32 View
  4. Arulsamy K, Effendy E, Mardhiyah S, Amin M, Husada M, Camellia V, Stona A, Finkelstein E. The economic burden of anxiety and depression in Indonesia: evidence from a cross-sectional web panel survey. Frontiers in Public Health 2025;13 View
  5. A V, J A. Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network. Scientific Reports 2025;15(1) View
  6. Nourazarain A, Vaziri Y. Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies. Genes & Nutrition 2025 View

Books/Policy Documents

  1. de Araújo M, Afonso V. Human Resource Management in a Disrupted World. View
  2. Acim B, Ouhnni H, Kharmoum N, Ziti S, Ouajdouni A. Non-Fungible Tokens (NFTs) in Smart Cities. View