Shortened Depression Assessment Study
NCT05123794 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 39000
Last updated 2023-12-08
Summary
Participants will be asked to fill out an online questionnaire about their demographics information and all 42 items from the Depression Anxiety Stress Scale (DASS-42). A series of machine learning techniques will be applied to the dataset to develop a shortened assessment using the most important demographics and DASS-42 items from the original questionnaire, to predict depression levels indicated by DASS-42.
Conditions
Sponsors & Collaborators
-
University of Toronto
lead OTHER
Principal Investigators
-
Kang Lee · University of Toronto
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-09-01
- Primary Completion
- 2021-09-01
- Completion
- 2021-09-01
Countries
- Canada
Study Locations
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