{"id":2297,"date":"2021-04-13T00:00:00","date_gmt":"2021-04-13T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/rising-burden-of-multimorbidity-and-related-socio-demographic-factors-a-repeated-cross-sectional-study-of-ontarians\/"},"modified":"2023-06-14T19:34:25","modified_gmt":"2023-06-14T23:34:25","slug":"rising-burden-of-multimorbidity-and-related-socio-demographic-factors-a-repeated-cross-sectional-study-of-ontarians","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/rising-burden-of-multimorbidity-and-related-socio-demographic-factors-a-repeated-cross-sectional-study-of-ontarians\/","title":{"rendered":"Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians"},"content":{"rendered":"<p><strong>Objective <\/strong>&#x2014; This study aimed to provide population-level data regarding trends in multimorbidity over 13 years.<\/p>\n<p><strong>Methods <\/strong>&#x2014; We linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and across age, sex, and income; and (ii) chronic condition clusters. Multimorbidity was defined as having at least any 2 of 18 selected conditions, and further grouped into levels of 2, 3, 4, or 5 or more conditions. Age-sex standardized multimorbidity prevalence was estimated using the 2009 population as the standard. Clustering was defined using the observed combinations of conditions within levels of multimorbidity.<\/p>\n<p><strong>Results <\/strong>&#x2014; Standardized prevalence of multimorbidity increased over time (26.5%, 28.8%, and 30.0% across sequential panels), across sex, age, and area-based income. Females, older adults and those living in lower income areas exhibited higher rates in all years. However, multimorbidity increased relatively more among males, younger adults, and those with 4 or 5 or more conditions. We observed numerous and increasing diversity in disease clusters, namely at higher levels of multimorbidity.<\/p>\n<p><strong>Conclusion <\/strong>&#x2014; Our study provides relevant and needed population-based information on the growing burden of multimorbidity, and related socio-demographic risk factors. Multimorbidity is markedly increasing among younger age cohorts. Also, there is an increasing complexity and lack of common clustering patterns at higher multimorbidity levels.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objective &#x2014; This study aimed to provide population-level data regarding trends in multimorbidity over 13 years. Methods &#x2014; We linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[],"migration-helper-qa-sample-set":[],"class_list":["post-2297","journal_article","type-journal_article","status-publish","hentry"],"acf":{"citation":"Kone AP, Mondor L, Maxwell C, Kabir US, Rosella LC, Wodchis WP. <em>Can J Public Health<\/em>. 2021; 112(4):737-47. Epub 2021 Apr 13.","source_url":"https:\/\/link.springer.com\/article\/10.17269\/s41997-021-00474-y","ices_scientist":[1135,1339,1322,1156,16470],"site":[6735],"research_program":[],"news_release":[],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"0928C9A6-6A27-4720-AA58-4A5B1FA11654","sitecore_item_name":"Rising-burden-of-multimorbidity-and-related-socio-demographic-factors-a-repeated-cross-sectional","sitecore_field_values":"{\n  \"Title\": \"Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians\",\n  \"Short title\": \"Rising burden of multimorbidity and\",\n  \"Summary\": \"This study aimed to provide population-level data regarding trends in multimorbidity over 13 years.\",\n  \"Citation\": \"<p>Kone AP, Mondor L, Maxwell C, Kabir US, Rosella LC, Wodchis WP. <em>Can J Public Health<\/em>. 2021; 112(4):737-47. Epub 2021 Apr 13. DOI: <a href=\"https:\/\/doi.org\/10.17269\/s41997-021-00474-y\" title=\"opens external link\">https:\/\/doi.org\/10.17269\/s41997-021-00474-y<\/a><\/p>\",\n  \"Abstract\": \"<p><strong>Objective <\/strong>&mdash; This study aimed to provide population-level data regarding trends in multimorbidity over 13 years.<\/p>n<p><strong>Methods <\/strong>&mdash; We linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and across age, sex, and income; and (ii) chronic condition clusters. Multimorbidity was defined as having at least any 2 of 18 selected conditions, and further grouped into levels of 2, 3, 4, or 5 or more conditions. Age-sex standardized multimorbidity prevalence was estimated using the 2009 population as the standard. Clustering was defined using the observed combinations of conditions within levels of multimorbidity.<\/p>n<p><strong>Results <\/strong>&mdash; Standardized prevalence of multimorbidity increased over time (26.5%, 28.8%, and 30.0% across sequential panels), across sex, age, and area-based income. Females, older adults and those living in lower income areas exhibited higher rates in all years. However, multimorbidity increased relatively more among males, younger adults, and those with 4 or 5 or more conditions. We observed numerous and increasing diversity in disease clusters, namely at higher levels of multimorbidity.<\/p>n<p><strong>Conclusion <\/strong>&mdash; Our study provides relevant and needed population-based information on the growing burden of multimorbidity, and related socio-demographic risk factors. Multimorbidity is markedly increasing among younger age cohorts. Also, there is an increasing complexity and lack of common clustering patterns at higher multimorbidity levels.<\/p>n<p><a href=\"https:\/\/link.springer.com\/article\/10.17269\/s41997-021-00474-y\" title=\"Opens external link\">View full text<\/a><\/p>\",\n  \"Research Programs\": \"{5B1AF319-EC9B-4BF0-A9CD-D066ABE49D71}\",\n  \"ICES Locations\": \"{FBE2D1B1-C0BA-423F-8D16-39466B6C1424}\",\n  \"ICES Scientists\": \"{26C6C411-14DA-4E2F-9D10-9564115ADE0A}|{430B2731-D3D6-4D57-9AF4-AA7626CF61B0}|{64CBC73D-F272-4F47-B285-D309E4B58736}|{176C4817-9634-47BD-B54D-3BDFA606CA4C}\",\n  \"Posted Date\": \"20210413T000000\",\n  \"Show on Publications Landing Page\": \"1\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2021\/April\/Rising-burden-of-multimorbidity-and-related-socio-demographic-factors-a-repeated-cross-sectional"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians<\/title>\n<meta name=\"description\" content=\"Objective &#x2014; This study aimed to provide population-level data regarding trends in multimorbidity over 13 years. 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