Indicators of mental disorders in UK Biobank-A comparison of approaches

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Publisher: John Wiley & Sons, Inc.
Document Type: Report
Length: 461 words

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Keywords: cohort study; diagnosis; epidemiology; mental disorder; online survey; UK Biobank 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 [PHI] 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. Article Note: This work came out of discussions of the UK Biobank Mental Health Outcomes Consortium: Matthew Hotopf (King's College London/South London and Maudsley), Katrina Davis (King's College London/South London and Maudsley), Mark Adams (Edinburgh), Naomi Allen (Oxford/UK Biobank), Gerome Breen (King's College London/South London and Maudsley), Jonathan Coleman (King's College London/South London and Maudsley), Chris Dickins (Exeter), Alexandra Dregan (King's College London), Robin Flaig (Edinburgh/UK Biobank), Elaine Fox (Oxford), Nicholas Graham (Glasgow), Jo Holliday (Oxford/UK Biobank), Louise M. Howard (King's College London), Ann John (Swansea), William Lee (Plymouth), Rose McCabe (Exeter), Andrew McIntosh (Edinburgh), Robert Pearsall (Glasgow), Daniel Smith (Glasgow), Cathie Sudlow (Edinburgh/UK Biobank), Joey Ward (Glasgow), and Stan Zammit (Bristol/Cardiff). Funding information National Institute for Health Research; National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South West Peninsula; The Dr Mortimer and Theresa Sackler Foundation; Scottish Executive Chief Scientist Office, Grant/Award Number: DTF/14/03; The Sackler Trust; MRC Grant, Grant/Award Number: MC_PC_17209; Wellcome Trust Strategic Award, Grant/Award Number: 104036/Z/14/Z; Maudsley Charity, Grant/Award Number: 980; Guy's and St Thomas's Charity, Grant/Award Number: TR130505 CAPTION(S): Table S1: Overlap of routine items for common mental disorder and symptom-based outcome for common mental disorder Appendix S1: Questionnaire wording and format Appendix S2: Case Criteria Derived from the UK Biobank Mental Health Questionnaire Appendix S3: ICD-10 codes used for hospital data-linkage Appendix S4: UKB medication codes used Byline: Katrina A.S. Davis,Breda Cullen, Mark Adams,Anamaria Brailean, Gerome Breen,Jonathan R.I. Coleman, Alexandru Dregan, Helena A. Gaspar, Christopher Hubel, William Lee, Andrew M. McIntosh, John Nolan, Robert Pearsall,Matthew Hotopf

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Gale Document Number: GALE|A602617410