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Indicators of mental disorders in UK Biobank—A comparison of approaches
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 par...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877131/ https://www.ncbi.nlm.nih.gov/pubmed/31397039 http://dx.doi.org/10.1002/mpr.1796 |
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author | Davis, Katrina A.S. Cullen, Breda Adams, Mark Brailean, Anamaria Breen, Gerome Coleman, Jonathan R.I. Dregan, Alexandru Gaspar, Héléna A. Hübel, Christopher Lee, William McIntosh, Andrew M. Nolan, John Pearsall, Robert Hotopf, Matthew |
author_facet | Davis, Katrina A.S. Cullen, Breda Adams, Mark Brailean, Anamaria Breen, Gerome Coleman, Jonathan R.I. Dregan, Alexandru Gaspar, Héléna A. Hübel, Christopher Lee, William McIntosh, Andrew M. Nolan, John Pearsall, Robert Hotopf, Matthew |
author_sort | Davis, Katrina A.S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6877131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68771312020-02-12 Indicators of mental disorders in UK Biobank—A comparison of approaches Davis, Katrina A.S. Cullen, Breda Adams, Mark Brailean, Anamaria Breen, Gerome Coleman, Jonathan R.I. Dregan, Alexandru Gaspar, Héléna A. Hübel, Christopher Lee, William McIntosh, Andrew M. Nolan, John Pearsall, Robert Hotopf, Matthew Int J Methods Psychiatr Res Original Articles 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. John Wiley and Sons Inc. 2019-08-08 /pmc/articles/PMC6877131/ /pubmed/31397039 http://dx.doi.org/10.1002/mpr.1796 Text en © 2019 The Authors International Journal of Methods in Psychiatric Research Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Davis, Katrina A.S. Cullen, Breda Adams, Mark Brailean, Anamaria Breen, Gerome Coleman, Jonathan R.I. Dregan, Alexandru Gaspar, Héléna A. Hübel, Christopher Lee, William McIntosh, Andrew M. Nolan, John Pearsall, Robert Hotopf, Matthew Indicators of mental disorders in UK Biobank—A comparison of approaches |
title | Indicators of mental disorders in UK Biobank—A comparison of approaches |
title_full | Indicators of mental disorders in UK Biobank—A comparison of approaches |
title_fullStr | Indicators of mental disorders in UK Biobank—A comparison of approaches |
title_full_unstemmed | Indicators of mental disorders in UK Biobank—A comparison of approaches |
title_short | Indicators of mental disorders in UK Biobank—A comparison of approaches |
title_sort | indicators of mental disorders in uk biobank—a comparison of approaches |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877131/ https://www.ncbi.nlm.nih.gov/pubmed/31397039 http://dx.doi.org/10.1002/mpr.1796 |
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