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Psychometric Data Linking Across HIV and Substance Use Cohorts
Benjamin D Schalet1, Patrick Janulis2,3, Michele D Kipke4
1Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 633 N. St. Clair, 19th Floor, Chicago, IL, 60611, USA. b-schalet@northwestern.edu.
AIDS and Behavior
|May 21, 2020
Summary
Linking psychological data across HIV and substance use cohorts harmonizes information. Substance use, not HIV status, was linked to higher depression scores, highlighting cohort differences.
Area of Science:
- Psychiatry and Behavioral Sciences
- Epidemiology
- Data Harmonization
Background:
- Psychological and behavioral data across HIV and substance use cohorts often lack harmonization.
- Linking common depression metrics across diverse questionnaires is crucial for data integration.
Purpose of the Study:
- To demonstrate psychometric data linking for harmonizing psychological measures across HIV and substance use cohorts.
- To assess depression scores and their association with HIV status and substance use within linked cohort data.
Main Methods:
- Utilized data from the Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO).
- Employed psychometric data linking for a common depression metric across multiple questionnaires.
- Conducted differential item functioning (DIF) tests and fitted a mixed-effects model for depression.
Main Results:
- Minimal DIF was observed between C3PNO cohorts and general population samples.
- Significant variation in depression score means was found across different cohorts.
- A positive association between substance use and depression was confirmed, but no significant link with HIV status.
Conclusions:
- Psychometric data linking effectively harmonizes psychological measures across diverse cohorts.
- Cohort-specific characteristics, patient factors, study designs, and settings significantly influence depression scores.
- Future research should account for these factors when analyzing depression in vulnerable populations.
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