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

Non-randomized Protocols and Methods (ehealth) (568) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Anxiety and Stress Disorders (1053) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) mHealth for Wellness, Behavior Change and Prevention (2872) Wearable Devices and Sensors (889) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 10, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25775, first published .
Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study

Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study

Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study

Authors of this article:

Asal Yunusova1 Author Orcid Image ;   Jocelyn Lai1 Author Orcid Image ;   Alexander P Rivera1 Author Orcid Image ;   Sirui Hu2, 3 Author Orcid Image ;   Sina Labbaf3 Author Orcid Image ;   Amir M Rahmani3, 4 Author Orcid Image ;   Nikil Dutt3, 5, 6 Author Orcid Image ;   Ramesh C Jain3 Author Orcid Image ;   Jessica L Borelli1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Lai J, Rahmani A, Yunusova A, Rivera A, Labbaf S, Hu S, Dutt N, Jain R, Borelli J. Using Multimodal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: Case Study. JMIR Formative Research 2021;5(5):e26186 View
  2. Alhur M, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
  3. Jafarlou S, Lai J, Azimi I, Mousavi Z, Labbaf S, Jain R, Dutt N, Borelli J, Rahmani A. Objective Prediction of Tomorrow’s Affect Using Multi-Modal Physiological and Behavioral Data: A 12-month Study on College Students (Preprint). JMIR Formative Research 2022 View
  4. Kristiansson E, Fridolfsson J, Arvidsson D, Holmäng A, Börjesson M, Andersson-Hall U. Validation of Oura ring energy expenditure and steps in laboratory and free-living. BMC Medical Research Methodology 2023;23(1) View
  5. Fukui K, Suzuki Y, Kaneda K, Kuroda S, Komiya M, Maeda N, Urabe Y. Do “Stay-at-Home Exercise” Videos Induce Behavioral Changes in College Students? A Randomized Controlled Trial. Sustainability 2021;13(21):11600 View
  6. Labbaf S, Abbasian M, Azimi I, Dutt N, Rahmani A. ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers in Digital Health 2023;5 View
  7. Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
  8. Labbaf S, Abbasian M, Nguyen B, Lucero M, Ahmed M, Yunusova A, Rivera A, Jain R, Borelli J, Dutt N, Rahmani A. Physiological and emotional assessment of college students using wearable and mobile devices during the 2020 COVID-19 lockdown: An intensive, longitudinal dataset. Data in Brief 2024;54:110228 View
  9. Kaneda K, Maeda N, Fukui K, Tashiro T, Komiya M, Urabe Y. Impact of the simultaneous distribution of e-learning and exercise videos on the health literacy and lifestyle of college students during the COVID-19 pandemic: a randomized controlled trial. Journal of Physical Therapy Science 2024;36(11):703 View
  10. Chirica M, Carreon S, Buscemi J, Greenley R, Tran S, Miller S. Changes in tripartite dimensions of anxiety and depression in emerging adults before and during COVID-19. Journal of American College Health 2024:1 View

Books/Policy Documents

  1. Frame L, Dyer K, Powell C, Dawson D, Warren A, Corr P, Siglin M. Handbook of Research on Developing Competencies for Pre-Health Professional Students, Advisors, and Programs. View