{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T01:31:31Z","timestamp":1775093491873,"version":"3.50.1"},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T00:00:00Z","timestamp":1735603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Studies have shown that people living with multiple sclerosis (PwMS) were substantially impacted by the COVID\u201019 pandemic. However, no study has compared the overall health\u2010related quality of life impact of the COVID\u201019 pandemic on PwMS and the general population. Differences would have implications for crises\/pandemic management policies. This study aimed to compare the prevalence and health\u2010related quality of life impact of COVID\u201019\u2010related adversity (such as deteriorations in mental or physical health) in PwMS and the general population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Cross\u2010sectional data were obtained from the How Is Your Life Australian general population study (comprising subsamples with and without chronic disease) and the Australian MS Longitudinal Study from August to October 2020. Health\u2010related quality of life was measured using health state utilities (HSUs; represented on a 0 [death] to 1 [full health] scale) generated by the EQ\u20105D\u20105L\u2010Psychosocial. COVID\u201019\u2010related adversity was measured via specialized survey items. Descriptive and multivariable regression analyses were conducted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 1020 general population individuals and 1635 MS participants entered the study (mean age 52.4 and 58.4; female 52.4% and 80.2%, respectively). COVID\u201019\u2010related adversity prevalence was higher among PwMS compared to the general population with and without chronic diseases (PR: 1.430 [CI: 1.153, 1.774] and PR: 1.90 [CI: 1.56, 2.32], respectively). However, the HSU impact of COVID\u201019\u2010related adversity was not dependent on disease status (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&gt;\u00a00.20, test for interaction).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study found that PwMS were more likely to experience COVID\u201019\u2010related adversity compared to the general population, though the health\u2010related quality\u2010of\u2010life impact was similar. This demonstrates that PwMS require additional support during national and global crises.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.70210","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T19:20:42Z","timestamp":1735672842000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Health\u2010Related Quality of Life Impact of the COVID\u201019 Pandemic on People Living with Multiple Sclerosis and the General Population: A Comparative Study Utilizing the EQ\u20105D\u20105L with Psychosocial Bolt\u2010Ons"],"prefix":"10.1002","volume":"15","author":[{"given":"Glen J.","family":"Henson","sequence":"first","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ingrid","family":"van der Mei","sequence":"additional","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruce V.","family":"Taylor","sequence":"additional","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suzi B.","family":"Claflin","sequence":"additional","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew J.","family":"Palmer","sequence":"additional","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[{"name":"Centre for Health Economics Monash University  Caulfield East Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1820-6758","authenticated-orcid":false,"given":"Julie A.","family":"Campbell","sequence":"additional","affiliation":[{"name":"Menzies Institute for Medical Research University of Tasmania  Hobart Tasmania Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,12,31]]},"reference":[{"key":"e_1_2_10_2_1","volume-title":"International Statistical Classification of Diseases and Related Health Problems","author":"World Health Organization","year":"2015"},{"key":"e_1_2_10_3_1","volume-title":"Health Economic Impact of Multiple Sclerosis in Australia in 2017: An Analysis of MS Research Australia's Platform\u2014The Australian MS Longitudinal Study (AMSLS)","author":"Ahmad H.","year":"2018"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2022.103774"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11910\u2010016\u20100649\u20102"},{"key":"e_1_2_10_6_1","volume-title":"Health Economic Impact of MS in 2021: An Interim Update of Prevalence, Costs and Costs of Illness From 2017 to 2021","author":"Campbell J.","year":"2023"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11136\u2010022\u201003214\u2010y"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40271\u2010015\u20100157\u20105"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/1352458519861270"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp\u20102022\u2010330755"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11136\u2010020\u201002576\u20105"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11136\u2010022\u201003243\u20107"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/ene.14580"},{"key":"e_1_2_10_14_1","volume-title":"Encyclopedia of Health Economics","author":"Culyer A. 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