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Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

Journal of Medical Internet Research · 2015 · Vol. 17(7) · pp. e175–e175
Sohrab SaebMi ZhangChris KarrStephen M. SchuellerMarya E. CordenKonrad P. KördingDavid C. Mohr

Abstract

Features extracted from mobile phone sensor data, including GPS and phone usage, provided behavioral markers that were strongly related to depressive symptom severity. While these findings must be replicated in a larger study among participants with confirmed clinical symptoms, they suggest that phone sensors offer numerous clinical opportunities, including continuous monitoring of at-risk populations with little patient burden and interventions that can provide just-in-time outreach.

Digital Mental Health InterventionsMental Health Research TopicsCOVID-19 and Mental HealthGlobal Positioning SystemmHealthPatient Health QuestionnaireMobile phoneTelemedicinePsychologyDepression (economics)Major depressive disorderComputer scienceMedicine

MeSH terms

AdultDepressionExploratory BehaviorFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesCluster AnalysisTelemedicineGeographic Information SystemsCell PhoneSelf Report

Funding

  • National Institute of Mental Health
Citations
808
FWCI
60.01
field-weighted impact
References
34
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100%
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Citations per year
References
Regularization and Variable Selection Via the Elastic Net
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005 · 20,431 citations
The PHQ-9
Journal of General Internal Medicine · 2001 · 42,829 citations
The Epidemiology of Major Depressive Disorder
JAMA · 2003 · 7,949 citations
Harnessing Context Sensing to Develop a Mobile Intervention for Depression
Journal of Medical Internet Research · 2011 · 673 citations
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