Journal article
Exploring potential for selection bias in using survey data to estimate the association between institutional trust and depression
Annals of epidemiology, v 77, pp 61-66
Jan 2023
PMID: 36519721
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We tested the hypothesis that low institutional trust would be associated with depressive symptom elevation, with attention to potential selection bias.
The District of Columbia Area Survey (DCAS) was conducted by mail in 2018. Invitations sent to 8800 households resulted in a sample of 1061 adults. Institutional trust questions referenced nonprofit organizations, businesses, and government. Depressive symptom elevation was assessed using PHQ-9. Logistic regression model estimates were compared with and without adjustment for sociodemographic characteristics and neighborhood satisfaction; among complete cases and following multiple imputation of missing covariate data; and with and without survey weights or correction for collider selection bias.
Of 968 participants without missing depressive symptom or trust data, 24% reported low institutional trust. Low institutional trust was associated with elevated depressive symptoms (adjusted OR following multiple imputation: 2.0; 95% CI: 1.1, 3.4), although the association was attenuated with use of survey weights (adjusted OR incorporating multiple imputation and survey weights: 1.6; 95% CI: 0.7, 3.2).
Under contrasting scenarios where low institutional trust and depressive symptoms jointly increase nonresponse, selection bias could lead to under- or overestimation of this association. Future research could explore posited selection bias scenarios that differ in direction of bias.
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Details
- Title
- Exploring potential for selection bias in using survey data to estimate the association between institutional trust and depression
- Creators
- Rozhan Ghanbari - Drexel University Dornsife School of Public Health, Department of Epidemiology and Biostatistics, Philadelphia, PAGina S. Lovasi - Drexel University Dornsife School of Public Health, Department of Epidemiology and Biostatistics, Philadelphia, PAMichael D. M. Bader - Johns Hopkins University
- Publication Details
- Annals of epidemiology, v 77, pp 61-66
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000974961700001
- Scopus ID
- 2-s2.0-85143583841
- Other Identifier
- 991020100059404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health