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Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study

Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study

The most common involves using a comprehensive baseline measure to predict later relapse [11]. More recent studies have leveraged brief high-frequency ecological momentary assessment (EMA) data, which capture individual within-day changes [12], while many studies use a combination of these.

Anders Dahlen Forsmo Lauvsnes, Tor Ivar Hansen, Sebastian Øiungen Ankill, Sang Won Bae, Rolf W Gråwe, Taylor A Braund, Mark Larsen, Mette Langaas

JMIR Form Res 2023;7:e45254

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Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study

Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study

Finally, baseline circadian rhythm would predict change in mental health symptoms over time [22], with patients with BD showing a greater sensitivity to change [15,16]. A 10-week prospective longitudinal design was used. Mental health measures were administered at baseline, on a fortnightly basis, and end point (10 weeks after baseline).

Taylor A Braund, May The Zin, Tjeerd W Boonstra, Quincy J J Wong, Mark E Larsen, Helen Christensen, Gabriel Tillman, Bridianne O’Dea

JMIR Ment Health 2022;9(5):e35549

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Article has an altmetric score of 12