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

Formative Evaluation of Digital Health Interventions (5209) Web-based and Mobile Health Interventions (5878) Mobile Health (mhealth) (5217) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3251) mHealth for Wellness, Behavior Change and Prevention (4284) Occupational Health and Ergonomics/Prevention at the Workplace (391) Occupational Health and Digital Safety (43)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45678, first published .
Man looking at phone selecting a mental health coach on an app

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 (20) 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
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  6. Nourazarain A, Vaziri Y. Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies. Genes & Nutrition 2025;20(1) View
  7. Imam H. Aligning humans and digital systems: Holistic workforce management in healthcare’s adaptive era. Journal of Healthcare Administration 2025;4(2):172 View
  8. Радзішевська Є, Рисована Л, Мацько А, Гранкіна С, Солодовніков А, Алексеєнко Р. МЕДИЧНІ ІНФОРМАЦІЙНІ СИСТЕМИ ЯК СКЛАДОВА НАВЧАННЯ МАЙБУТНІХ ПРАЦІВНИКІВ СФЕРИ ОХОРОНИ ЗДОРОВ’Я. New Collegium 2025;4(120):51 View
  9. Dan F, Owan V, Ogabor J, Asu-Okang S, Akpa S, Eni E, Ejeh E, Orogwu A, Opara P, Aduma P. Awareness and perception as predictors of preparedness to use AI in health emergencies among undergraduates: a machine learning approach. Discover Public Health 2026;23(1) View
  10. Tan J, Li S, Tan S. Emotional Echo Weaning: An AI-Powered Educational Intervention for Post-Breakup Distress. International Journal of Education and Humanities 2026;22(3):41 View
  11. Balalaieva O, Marchenko I, Bratkevych V. Research on the effectiveness of mobile food resource management using an intelligent system based on SWIFTUI architec-ture and LLM models. Reporter of the Priazovskyi State Technical University. Section: Technical sciences 2026;1(53):7 View
  12. R N, C N, V R, M K. The impact of online reviews and ratings on patient healthcare decisions. International Journal of Pharmaceutical and Healthcare Marketing 2026:1 View
  13. Chukwuemeka U, Anakor A, Nuvey F, Amaechi I, Lokonon B, Laurean J, Nwankwo I, Nwokoye E, Fokou G, Maruf F, Esse-Diby C, Bonfoh B. A three group randomised controlled trial on effectiveness of mobile application based performance feedback interventions on cardiovascular risk factors among Nigerian university staff. Discover Public Health 2026;23(1) View
  14. Chen Y, Qin X, Chen S. From graph models to intelligent decision-making: a review of spatio-temporal graph neural networks for regional disease risk prediction and etiology mining. Frontiers in Public Health 2026;14 View
  15. Bashir Y, AL-Huneiti R, AL-Dalaeen A, Azzeh F. Artificial Intelligence, Wearable Technologies, and Virtual Reality in Precision Nutrition and Obesity Management: A Critical Narrative Review. Diseases 2026;14(8):295 View
  16. Emre Topsakal F, Şahbat Y, Özdemir E, Altay N, Demirel E. Patient Expectations Regarding High-Quality Anterior Cruciate Ligament (ACL) Surgery Videos. Turkish Journal of Sports Medicine 2026;61(3):139 View

Books/Policy Documents

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