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Related Experiment Video

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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

The relationship between mobile phone location sensor data and depressive symptom severity.

Sohrab Saeb¹, Emily G Lattie², Stephen M Schueller²

¹Department of Preventive Medicine, Northwestern University, Chicago, IL, United States; Rehabilitation Institute of Chicago, Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States.

|March 28, 2017

Summary

Smartphone GPS data can predict depression severity. Location variance and movement patterns, especially on weekends, correlate with depressive symptoms, offering potential early warning signals.

Keywords:

Depression Depressive symptoms Geographic locations Mobile phone Students

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Area of Science:

Digital Phenotyping
Mental Health Technology
Mobile Sensing

Background:

Smartphones enable passive data collection for depression detection.
Geographic location (GPS) sensors are explored for identifying depressive symptom severity.

Purpose of the Study:

To replicate and extend previous research on GPS sensor data for detecting depression.
To investigate the relationship between GPS-derived features and depressive symptom severity.

Main Methods:

Utilized data from 48 college students over 10 weeks.
Collected GPS sensor data and Patient Health Questionnaire 9-item (PHQ-9) scores.
Calculated GPS features across different timeframes (entire study, weekdays, weekends, 2-week blocks).

Main Results:

GPS features (location variance, entropy, circadian movement) significantly correlated with PHQ-9 scores (r's -0.43 to -0.46).
Relationships were stronger using weekend GPS data compared to weekday data.
GPS features predicted depressive symptom severity up to 10 weeks prior to assessment.

Conclusions:

GPS features are reliable predictors of depressive symptom severity.
Weekend/weekday activity patterns moderate the relationship between GPS data and depression.
GPS data shows potential as an early warning system for depression.