Accessibility settings

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

mHealth for Wellness, Behavior Change and Prevention (3440) Web-based and Mobile Health Interventions (4229) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2281) Anxiety and Stress Disorders (1379) Depression and Mood Disorders; Suicide Prevention (1765) Occupational Health and Ergonomics/Prevention at the Workplace (332)

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 (6) 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
  4. Yamada R, Stickley A, Sumiyoshi T. P300 Predicts the Effect of a Brief Intervention on Alcohol Consumption in Habitual Drinkers. Clinical EEG and Neuroscience 2026 View
  5. Rahimi M, Abrishamifar K, Hazhir S, Valizadeh H, Nourani A, Rahimi B. Sensor‐Equipped Digital Technologies for Monitoring and Detecting Depressive Disorders: A Systematic Review. Health Science Reports 2026;9(3) View

Books/Policy Documents

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