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

mHealth for Wellness, Behavior Change and Prevention (3391) Web-based and Mobile Health Interventions (4134) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2210) Anxiety and Stress Disorders (1357) Depression and Mood Disorders; Suicide Prevention (1735) Occupational Health and Ergonomics/Prevention at the Workplace (320)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60871, first published .
Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

Authors of this article:

Kengo Yokomitsu1 Author Orcid Image ;   Riki Oimatsu2 Author Orcid Image ;   Sean Han Yang Toh3 Author Orcid Image ;   Oliver Sündermann4 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Pan H, Fei Y. From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More of? [Letter]. Nature and Science of Sleep 2025;Volume 17:1601 View
  2. 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
  3. Leistner D, Richlan F. Supporting Mental Health with Apps: A Systematic Review of Potential and Quality of Implemented Behavior Change Techniques in Mobile Health Applications. European Journal of Investigation in Health, Psychology and Education 2026;16(1):13 View

Books/Policy Documents

  1. Majumder S, Dey N. AI-Driven Wellbeing to Enhance Lives and Work Environments. View