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Next-generation Psychiatric Assessment: Using Smartphone Sensors to Monitor Behavior and Mental Health
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Sample details

This study aimed to investigate whether data collected from smartphone sensors could serve as indicators of mental health. It involved 47 participants, primarily undergraduate and graduate students of Dartmouth College in the United States, aged 19 to 30, recruited through class announcements. Over a 10-week period, participants were provided with smartphones equipped with various sensors to track geospatial and kinesthetic activity, sleep patterns, and proximity to human speech, while also completing daily stress ratings and pre- and post-measures of depression and stress levels.

Study design
Cohort

Number of participants at first data collection

47 (participants)

Age at first data collection

19 - 30 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Students
University students and alumni
Dataset details

Country

United States of America

Year of first data collection

2013

Primary Institutions

Dartmouth College

Links
No website available

Profile paper DOI

doi.org/10.1037/prj0000130

Funders

No funding information available

Ongoing?
No

Data types collected

mentalHealthData
Quantitative data collection
  • Wearable devices
  • Self-completed questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Digital technology and social media
    Mental health
    Sociometric data
    Students
    Wearables
    Young adulthood
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