{"id":5481,"date":"2019-12-11T00:00:00","date_gmt":"2019-12-11T05:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/neighbourhood-level-marginalization-and-avoidable-mortality-in-ontario-canada-a-population-based-study\/"},"modified":"2023-06-14T20:03:45","modified_gmt":"2023-06-15T00:03:45","slug":"neighbourhood-level-marginalization-and-avoidable-mortality-in-ontario-canada-a-population-based-study","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/neighbourhood-level-marginalization-and-avoidable-mortality-in-ontario-canada-a-population-based-study\/","title":{"rendered":"Neighbourhood-level marginalization and avoidable mortality in Ontario, Canada: a population-based study"},"content":{"rendered":"<p><strong>Objective<\/strong> &#x2014; To examine the impact of neighbourhood marginalization on avoidable mortality (AM) from preventable and treatable causes of death.<\/p>\n<p><strong>Methods<\/strong> &#x2014; All premature deaths between 1993 and 2014 (N = 691,453) in Ontario, Canada, were assigned to quintiles of neighbourhood marginalization using the four dimensions of the Ontario Marginalization Index: dependency, ethnic concentration, material deprivation, and residential instability. We conducted two multivariate logistic regressions to examine the association between neighbourhood marginalization, first with AM compared with non-AMas the outcome, and second with AM from preventable causes compared with treatable causes as the outcome. All models were adjusted for decedent age, sex, urban\/rural<br \/>\nlocation, and level of comorbidity.<\/p>\n<p><strong>Results<\/strong> &#x2014; A total of 463,015 deaths were classified as AM and 228,438 deaths were classified as non-AM. Persons living in the most materially deprived (OR, 1.24; 95% CI, 1.22 to 1.27) and residentially unstable neighbourhoods (OR, 1.13; 95% CI, 1.11 to 1.15) had greater odds of AM, particularly from preventable causes. Those living in the most dependent (OR, 0.91; 95% CI, 0.89 to 0.93) and ethnically concentrated neighbourhoods (OR, 0.93; 95% CI, 0.91 to 0.93) had lower odds of AM, although when AM occurred, it was more likely to arise from treatable causes.<\/p>\n<p><strong>Conclusion<\/strong> &#x2014; Different marginalization dimensions have unique associations with AM. By identifying how different aspects of neighbourhood marginalization influence AM, these results may have important implications for future public health efforts to reduce inequities in avoidable deaths.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objective &#x2014; To examine the impact of neighbourhood marginalization on avoidable mortality (AM) from preventable and treatable causes of death. Methods &#x2014; All premature deaths between 1993 and 2014 (N = 691,453) in Ontario, Canada, were assigned to quintiles of neighbourhood marginalization using the four dimensions of the Ontario Marginalization Index: dependency, ethnic concentration, material [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[],"migration-helper-qa-sample-set":[],"class_list":["post-5481","journal_article","type-journal_article","status-publish","hentry"],"acf":{"citation":"Zygmunt A, Tanuseputro P, James P, Lima I, Tuna M, Kendall CE. <em>Can J Public Health<\/em>. 2020; 111(2):169-81. Epub 2019 Dec 11.","source_url":"https:\/\/doi.org\/10.17269\/s41997-019-00270-9","ices_scientist":[1107,1157],"site":[6734],"research_program":[],"news_release":[7995],"journal_article":[],"atlas":[],"research_report":[],"infographic":[9546],"video":[],"downloads":null,"links":null,"sitecore_item_id":"DE26E77C-3A8A-49BE-8202-CF42EF53DE6D","sitecore_item_name":"Neighbourhood-level-marginalization-and-avoidable-mortality-in-Ontario-Canada-a-population-based","sitecore_field_values":"{\n  \"__Valid from\": \"20191212T111600\",\n  \"Title\": \"Neighbourhood-level marginalization and avoidable mortality in Ontario, Canada: a population-based study\",\n  \"Short title\": \"Neighbourhood-level marginalization\",\n  \"Summary\": \"The study examined the impact of neighbourhood marginalization on avoidable mortality from preventable and treatable causes of death.\",\n  \"Citation\": \"<p>Zygmunt A, Tanuseputro P, James P, Lima I, Tuna M, Kendall CE. <em>Can J Public Health<\/em>. 2020; 111(2):169-81. Epub 2019 Dec 11. DOI: <a href=\"https:\/\/doi.org\/10.17269\/s41997-019-00270-9\" title=\"opens external link\">https:\/\/doi.org\/10.17269\/s41997-019-00270-9<\/a><\/p>\",\n  \"Abstract\": \"<p><strong>Objective<\/strong> &mdash; To examine the impact of neighbourhood marginalization on avoidable mortality (AM) from preventable and treatable causes of death.<\/p>n<p><strong>Methods<\/strong> &mdash; All premature deaths between 1993 and 2014 (N = 691,453) in Ontario, Canada, were assigned to quintiles of neighbourhood marginalization using the four dimensions of the Ontario Marginalization Index: dependency, ethnic concentration, material deprivation, and residential instability. We conducted two multivariate logistic regressions to examine the association between neighbourhood marginalization, first with AM compared with non-AMas the outcome, and second with AM from preventable causes compared with treatable causes as the outcome. All models were adjusted for decedent age, sex, urban\/rural<br \/>nlocation, and level of comorbidity.<\/p>n<p><strong>Results<\/strong> &mdash; A total of 463,015 deaths were classified as AM and 228,438 deaths were classified as non-AM. Persons living in the most materially deprived (OR, 1.24; 95% CI, 1.22 to 1.27) and residentially unstable neighbourhoods (OR, 1.13; 95% CI, 1.11 to 1.15) had greater odds of AM, particularly from preventable causes. Those living in the most dependent (OR, 0.91; 95% CI, 0.89 to 0.93) and ethnically concentrated neighbourhoods (OR, 0.93; 95% CI, 0.91 to 0.93) had lower odds of AM, although when AM occurred, it was more likely to arise from treatable causes.<\/p>n<p><strong>Conclusion<\/strong> &mdash; Different marginalization dimensions have unique associations with AM. By identifying how different aspects of neighbourhood marginalization influence AM, these results may have important implications for future public health efforts to reduce inequities in avoidable deaths.<\/p>\",\n  \"ICES Locations\": \"{0AD77E2C-C883-4E93-8B9A-40B82D50E3A5}\",\n  \"ICES Scientists\": \"{B9979611-1657-47B5-B80F-08815BA48831}|{D45B3FD1-95D9-4C82-93F0-4C4B787BE676}\",\n  \"Posted Date\": \"20191211T000000\",\n  \"Show on Publications Landing Page\": \"1\",\n  \"In The News\": \"{ECCD2541-16C3-4B9F-9292-D1F045B7BFF9}|{C5831EDC-A88B-4C23-A858-EB44469E2211}\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2019\/December\/Neighbourhood-level-marginalization-and-avoidable-mortality-in-Ontario-Canada-a-population-based"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Neighbourhood-level marginalization and avoidable mortality in Ontario, Canada: a population-based study<\/title>\n<meta name=\"description\" content=\"Objective &#x2014; 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