Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
Initiatives
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The objective of this study was to explore the detection of daily-life behavioral markers using mobile phone global positioning systems (GPS) and usage sensors, and their use in identifying depressive symptom severity.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2013
- Funding
- K08 MH102336/MH/NIMH NIH HHS/United States P20 MH090318/MH/NIMH NIH HHS/United States K08 MH 102336/MH/NIMH NIH HHS/United States
Design
- Study design
- Population cohort
Marker Paper
Saeb S, Zhang M, Karr CJ, et al. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. J Med Internet Res. 2015;17(7):e175. Published 2015 Jul 15. doi:10.2196/jmir.4273
PUBMED 26180009
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 40
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
US adult participants
A total of 40 adult participants were recruited from the general community to carry a mobile phone with a sensor data acquisition app (Purple Robot) for 2 weeks. Of these participants, 28 had sufficient sensor data received to conduct analysis.
Selection Criteria
- Minimum age
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19
- Newborns
- Twins
- Countries
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- United States of America
- Ethnic Origin
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- Health Status
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- Other criteria
- Participants were eligible if they had an email account, computer, and broadband access to the Internet, were within a cellular network range the majority of the day, were able to speak and read English, were at least 19 years of age, and lived within the United States of America.
Recruitment
- Sources of recruitment
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- General population
Number of participants
- Number of participants
- 40
- Number of participants with biosamples
Data Collection Event
A total of 40 adult participants were recruited from the general community to carry a mobile phone with a sensor data acquisition app (Purple Robot) for 2 weeks. Purple Robot is an open-source Android app that we developed to collect mobile phone sensor data.
- Start Date
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2013-04
- End Date
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2013-07
- Data sources
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Mobile data collection
- Mobile phone
- Smartphone apps
- Purple Robot is an open-source Android app
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Mobile data collection