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

Grant Proposals (eHealth, funded) (83) Mobile Health (mhealth) (3224) Depression and Mood Disorders; Suicide Prevention (1552) Mental Health Issues in Adolescence (558) mHealth for Wellness, Behavior Change and Prevention (3146) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1877) Ecological Momentary Assessment (EMA) (364)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43931, first published .
Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Authors of this article:

Mei Yi Ng1 Author Orcid Image ;   Jennifer A Frederick1 Author Orcid Image ;   Aaron J Fisher2 Author Orcid Image ;   Nicholas B Allen3 Author Orcid Image ;   Jeremy W Pettit1 Author Orcid Image ;   Dana L McMakin1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zamani S, Rostami A, Nguyen M, Sinha R, Madanian S. A Gamified AI-Driven System for Depression Monitoring and Management. Applied Sciences 2025;15(13):7088 View