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

Formative Evaluation of Digital Health Interventions (2443) Anxiety and Stress Disorders (1061) mHealth for Wellness, Behavior Change and Prevention (2895) Mobile Health (mhealth) (2960) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1536) Web-based and Mobile Health Interventions (3325) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1416)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40723, first published .
Efficacy of the Mental Health App Intellect to Reduce Stress: Randomized Controlled Trial With a 1-Month Follow-up

Efficacy of the Mental Health App Intellect to Reduce Stress: Randomized Controlled Trial With a 1-Month Follow-up

Efficacy of the Mental Health App Intellect to Reduce Stress: Randomized Controlled Trial With a 1-Month Follow-up

Authors of this article:

Sean Han Yang Toh1 Author Orcid Image ;   Jessalin Hui Yan Tan2 Author Orcid Image ;   Feodora Roxanne Kosasih1 Author Orcid Image ;   Oliver Sündermann1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Toh S, Lee S, Sündermann O. Mobile Behavioral Health Coaching as a Preventive Intervention for Occupational Public Health: Retrospective Longitudinal Study. JMIR Formative Research 2023;7:e45678 View
  2. Kosasih F, Yee V, Toh S, Sündermann O, König L. Efficacy of Intellect’s self-guided anxiety and worry mobile health programme: A randomized controlled trial with an active control and a 2-week follow-up. PLOS Digital Health 2023;2(5):e0000095 View
  3. Yang Toh S, Lee S, Kosasih F, Lim J, Sündermann O. Preliminary effectiveness of an evidence-based mobile application to promote resilience among working adults in Singapore and Hong Kong: Intensive longitudinal study. DIGITAL HEALTH 2023;9 View
  4. Lim Y, Quek J, Ching X, Lim D, Lim K, Thuraisingham C, George P. Efficacy of a Text-Based Mental Health Coaching App in Improving the Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial. JMIR Formative Research 2023;7:e46458 View
  5. Prentice C, Peven K, Zhaunova L, Nayak V, Radovic T, Klepchukova A, Potts H, Ponzo S. Methods for evaluating the efficacy and effectiveness of direct-to-consumer mobile health apps: a scoping review. BMC Digital Health 2024;2(1) View
  6. Bhawra J, Elsahli N, Patel J. Applying Digital Technology to Understand Human Experiences of Climate Change Impacts on Food Security and Mental Health: Scoping Review. JMIR Public Health and Surveillance 2024;10:e54064 View
  7. Lee C, Bazan M, Wong J, Yoshida T, Jantarabenjakul W, Lin S, Papatheodorou S. The efficacy of mobile applications for reducing depression in adolescents and young adults: A meta-analysis of randomized control trials. Journal of Telemedicine and Telecare 2024 View
  8. El-Gayar O, Al-Ramahi M, Wahbeh A, Elnoshokaty A, Nasralah T. Mining User Reviews for Key Design Features in Cognitive Behavioral Therapy-Based Mobile Mental Health Apps. Telemedicine and e-Health 2024 View
  9. Dietvorst E, de Vries L, van Eijl S, Mesman E, Legerstee J, Keijsers L, Hillegers M, Vreeker A. Effective elements of eHealth interventions for mental health and well-being in children and adolescents: A systematic review. DIGITAL HEALTH 2024;10 View
  10. Lee Yoon Li M, Lee Si Min S, Suendermann O. Efficacy of the Mobile Health App Intellect in Improving Subclinical Obsessive Compulsive Disorder in University Students: Randomized Controlled Trial with a 4-Week Follow-up (Preprint). JMIR mHealth and uHealth 2024 View