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Indicators of Mental Disorders in UK Biobank – A comparison of approaches

Research output: Contribution to journalArticle

Katrina A. S. Davis, Breda Cullen, Mark J. Adams, Anamaria Brailean, Gerome Daniel Breen, Jonathan Richard Iain Coleman, Alexandru Dregan, Héléna A. Gaspar, Christopher Huebel, William Lee, Andrew M. McIntosh, John Nolan, Robert Pearsall, Matthew Hotopf

Original languageEnglish
Article numbere1796
JournalInternational Journal of Methods in Psychiatric Research
Early online date8 Aug 2019
DOIs
Publication statusE-pub ahead of print - 8 Aug 2019

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Abstract

Objectives
For many research cohorts, it is not practical to provide a “gold‐standard” mental health diagnosis. It is therefore important for mental health research that potential alternative measures for ascertaining mental disorder status are understood.

Methods
Data from UK Biobank in those participants who had completed the online Mental Health Questionnaire (n = 157,363) were used to compare the classification of mental disorder by four methods: symptom‐based outcome (self‐complete based on diagnostic interviews), self‐reported diagnosis, hospital data linkage, and self‐report medication.

Results
Participants self‐reporting any psychiatric diagnosis had elevated risk of any symptom‐based outcome. Cohen's κ between self‐reported diagnosis and symptom‐based outcome was 0.46 for depression, 0.28 for bipolar affective disorder, and 0.24 for anxiety. There were small numbers of participants uniquely identified by hospital data linkage and medication.

Conclusion
Our results confirm that ascertainment of mental disorder diagnosis in large cohorts such as UK Biobank is complex. There may not be one method of classification that is right for all circumstances, but an informed and transparent use of outcome measure(s) to suit each research question will maximise the potential of UK Biobank and other resources for mental health research.

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