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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66187, first published .
Hands holding smartphone in a green field, possibly for farming technology.

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Journals

  1. Diler R, Vahedifard F, Birmaher B, Iyengar S, Wolfe M, Lepore B, Chobany M, Abdul-Waalee H, Malgireddy G, Hart J, Bertocci M. Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity. JMIR Mental Health 2025;12:e78163 View
  2. Cortese S, Arango C, Aymerich C, Catalan A, Chetouani M, Cohen D, Coghill D, Gabellone A, Iniesta R, Kadan A, Kerbage H, Kessing L, Margari L, Matera E, Marzulli L, Mezinska S, Mulraney M, Nagy P, Oliver D, Pagsberg A, Petruzzelli M, Roessner V, Salazar de Pablo G, Santosh P, Stevanovic D, Sugranyes G, Vieta E, Correll C, Zalsman G, Purper‐Ouakil D, Moreno C, Fusar‐Poli P. Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions. World Psychiatry 2026;25(2):190 View
  3. Kwong A, Moody S, Taylor A, Lockhart C, Ogden R, Leal R, Mcmillan A, Harvey J, Brierley E, Matthews S, Hobbs R, Simmons A, Eley T, Jacobson N, Murray A. Mood in the moment: a study protocol for embedding ecological momentary assessments into established longitudinal cohorts to examine depression in real time. BMJ Open 2026;16(6):e122195 View