No Cover Image

Journal article 549 views 67 downloads

The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study

Benjamin M Jacobs Orcid Logo, Luisa Schalk, Emily Tregaskis-Daniels, Pooja Tank, Sadid Hoque, Michelle Peter, Katherine Tuite-Dalton, James Witts Orcid Logo, UK MS Register Study Group, Riley Bove Orcid Logo, Ruth Dobson Orcid Logo

Multiple Sclerosis Journal, Volume: 30, Issue: 11-12, Pages: 1544 - 1555

Swansea University Authors: Katherine Tuite-Dalton, James Witts Orcid Logo

  • 10.1177_13524585241277018.pdf

    PDF | Version of Record

    © The Author(s), 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0).

    Download (2.08MB)

Check full text

DOI (Published version): 10.1177/13524585241277018

Abstract

Background: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity. Methods: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and...

Full description

Published in: Multiple Sclerosis Journal
ISSN: 1352-4585 1477-0970
Published: SAGE Publications 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68127
first_indexed 2024-10-31T13:47:15Z
last_indexed 2024-11-25T14:21:29Z
id cronfa68127
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-10-31T13:48:00.2258801</datestamp><bib-version>v2</bib-version><id>68127</id><entry>2024-10-31</entry><title>The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study</title><swanseaauthors><author><sid>2e25da269f03da81184357bb0ef8623d</sid><firstname>Katherine</firstname><surname>Tuite-Dalton</surname><name>Katherine Tuite-Dalton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c8d1e374a823863aae5d0dfaec19c7b5</sid><ORCID>0009-0008-3386-2965</ORCID><firstname>James</firstname><surname>Witts</surname><name>James Witts</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-31</date><deptcode>MEDS</deptcode><abstract>Background: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity. Methods: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression. Results: We analysed data from 17,314 people with MS, including participants from self-reported Black (n = 157) or South Asian (n = 230) ethnic backgrounds. Age at MS onset and diagnosis was lower in those of South Asian (median 30.0) and Black (median 33.0) ethnicity compared with White ethnicity (median 35.0). In participants with online MS severity measures available, we found no statistically significant evidence for an association between ethnic background and physical disability in MS in both cross-sectional and longitudinal analyses. Conclusion: We found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings.</abstract><type>Journal Article</type><journal>Multiple Sclerosis Journal</journal><volume>30</volume><journalNumber>11-12</journalNumber><paginationStart>1544</paginationStart><paginationEnd>1555</paginationEnd><publisher>SAGE Publications</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1352-4585</issnPrint><issnElectronic>1477-0970</issnElectronic><keywords>Ethnicity, multiple sclerosis, severity, healthcare inequality</keywords><publishedDay>1</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-10-01</publishedDate><doi>10.1177/13524585241277018</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: BMJ was supported by a Medical Research Council (MRC) Clinical Research Training Fellowship (CRTF) jointly funded by the UK MS Society (BMJ; grant reference: MR/V028766/1) while carrying out this work.</funders><projectreference/><lastEdited>2024-10-31T13:48:00.2258801</lastEdited><Created>2024-10-31T13:36:39.9517403</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Benjamin M</firstname><surname>Jacobs</surname><orcid>0000-0002-6023-6010</orcid><order>1</order></author><author><firstname>Luisa</firstname><surname>Schalk</surname><order>2</order></author><author><firstname>Emily</firstname><surname>Tregaskis-Daniels</surname><order>3</order></author><author><firstname>Pooja</firstname><surname>Tank</surname><order>4</order></author><author><firstname>Sadid</firstname><surname>Hoque</surname><order>5</order></author><author><firstname>Michelle</firstname><surname>Peter</surname><order>6</order></author><author><firstname>Katherine</firstname><surname>Tuite-Dalton</surname><order>7</order></author><author><firstname>James</firstname><surname>Witts</surname><orcid>0009-0008-3386-2965</orcid><order>8</order></author><author><firstname>UK MS Register Study</firstname><surname>Group</surname><order>9</order></author><author><firstname>Riley</firstname><surname>Bove</surname><orcid>0000-0002-2034-8800</orcid><order>10</order></author><author><firstname>Ruth</firstname><surname>Dobson</surname><orcid>0000-0002-2993-585X</orcid><order>11</order></author></authors><documents><document><filename>68127__32809__5e08d0d94576475382958b79837582b8.pdf</filename><originalFilename>10.1177_13524585241277018.pdf</originalFilename><uploaded>2024-10-31T13:36:39.9462808</uploaded><type>Output</type><contentLength>2181983</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; The Author(s), 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2024-10-31T13:48:00.2258801 v2 68127 2024-10-31 The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study 2e25da269f03da81184357bb0ef8623d Katherine Tuite-Dalton Katherine Tuite-Dalton true false c8d1e374a823863aae5d0dfaec19c7b5 0009-0008-3386-2965 James Witts James Witts true false 2024-10-31 MEDS Background: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity. Methods: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression. Results: We analysed data from 17,314 people with MS, including participants from self-reported Black (n = 157) or South Asian (n = 230) ethnic backgrounds. Age at MS onset and diagnosis was lower in those of South Asian (median 30.0) and Black (median 33.0) ethnicity compared with White ethnicity (median 35.0). In participants with online MS severity measures available, we found no statistically significant evidence for an association between ethnic background and physical disability in MS in both cross-sectional and longitudinal analyses. Conclusion: We found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings. Journal Article Multiple Sclerosis Journal 30 11-12 1544 1555 SAGE Publications 1352-4585 1477-0970 Ethnicity, multiple sclerosis, severity, healthcare inequality 1 10 2024 2024-10-01 10.1177/13524585241277018 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: BMJ was supported by a Medical Research Council (MRC) Clinical Research Training Fellowship (CRTF) jointly funded by the UK MS Society (BMJ; grant reference: MR/V028766/1) while carrying out this work. 2024-10-31T13:48:00.2258801 2024-10-31T13:36:39.9517403 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Benjamin M Jacobs 0000-0002-6023-6010 1 Luisa Schalk 2 Emily Tregaskis-Daniels 3 Pooja Tank 4 Sadid Hoque 5 Michelle Peter 6 Katherine Tuite-Dalton 7 James Witts 0009-0008-3386-2965 8 UK MS Register Study Group 9 Riley Bove 0000-0002-2034-8800 10 Ruth Dobson 0000-0002-2993-585X 11 68127__32809__5e08d0d94576475382958b79837582b8.pdf 10.1177_13524585241277018.pdf 2024-10-31T13:36:39.9462808 Output 2181983 application/pdf Version of Record true © The Author(s), 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
spellingShingle The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
Katherine Tuite-Dalton
James Witts
title_short The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
title_full The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
title_fullStr The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
title_full_unstemmed The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
title_sort The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study
author_id_str_mv 2e25da269f03da81184357bb0ef8623d
c8d1e374a823863aae5d0dfaec19c7b5
author_id_fullname_str_mv 2e25da269f03da81184357bb0ef8623d_***_Katherine Tuite-Dalton
c8d1e374a823863aae5d0dfaec19c7b5_***_James Witts
author Katherine Tuite-Dalton
James Witts
author2 Benjamin M Jacobs
Luisa Schalk
Emily Tregaskis-Daniels
Pooja Tank
Sadid Hoque
Michelle Peter
Katherine Tuite-Dalton
James Witts
UK MS Register Study Group
Riley Bove
Ruth Dobson
format Journal article
container_title Multiple Sclerosis Journal
container_volume 30
container_issue 11-12
container_start_page 1544
publishDate 2024
institution Swansea University
issn 1352-4585
1477-0970
doi_str_mv 10.1177/13524585241277018
publisher SAGE Publications
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
description Background: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity. Methods: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression. Results: We analysed data from 17,314 people with MS, including participants from self-reported Black (n = 157) or South Asian (n = 230) ethnic backgrounds. Age at MS onset and diagnosis was lower in those of South Asian (median 30.0) and Black (median 33.0) ethnicity compared with White ethnicity (median 35.0). In participants with online MS severity measures available, we found no statistically significant evidence for an association between ethnic background and physical disability in MS in both cross-sectional and longitudinal analyses. Conclusion: We found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings.
published_date 2024-10-01T05:26:24Z
_version_ 1856895958954016768
score 11.096068

Similar Items