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Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study
Jimena Unzueta Saavedra1, Emma A Deaso1, Margot Austin1
1Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02445, United States, 1 6179194628.
This study shows collecting ecological momentary assessment (EMA) and activity data via smartphone is feasible for adolescents with depression. Findings highlight the link between mood, sleep, and life stress in major depressive disorder (MDD).
Area of Science:
- Mental Health
- Digital Health
- Adolescent Psychology
Background:
- Adolescent depression is a significant public health issue with symptom variability.
- Ecological Momentary Assessment (EMA) improves understanding of Major Depressive Disorder (MDD) by reducing recall bias.
- EMA offers insights into fluctuating depression, aiding personalized interventions.
Purpose of the Study:
- Evaluate feasibility of smartphone-based EMA and activity tracking in adolescents with depression.
- Investigate mood symptom severity and variability over time.
- Explore relationships between mood, activity, and sleep.
Main Methods:
- 36 participants (23 with MDD, 13 controls) used smartphones for twice-daily EMA and FitBit for activity/sleep tracking over 2 weeks.
- Assessed feasibility, app usability, symptom severity/variability, and mood-activity-sleep relationships.
- Linear mixed-effects regression analyzed data.
Main Results:
- High compliance (91.57%) confirms feasibility of EMA and wearable tracking.
- MDD participants showed greater symptom severity and variability, worse morning mood, and more inconsistent sleep.
- Life stress predicted more severe EMA scores; activity levels did not significantly predict mood.
Conclusions:
- Integrating smartphone EMA with wearable tracking is feasible for adolescents with depression.
- EMA data reveal dynamic symptom patterns linked to sleep and stress.
- This approach can enhance assessments and inform personalized interventions for depression.
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