ArticlePopulation health metrics2019
Regional variation of premature mortality in Ontario, Canada: a spatial analysis.
Article in Population health metrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease.Communications medicine · 2025Article
- Mapping and managing geographic variation in elective surgeries through user-friendly data presentation: insights from Tuscany region.Research in health services & regions · 2025Review
- Opioid-related deaths in Northern Ontario in the early COVID-19 pandemic period.Canadian journal of public health = Revue canadienne de sante publique · 2025Article
- Machine learning prediction of premature death from multimorbidity among people with inflammatory bowel disease: a population-based retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025Article
- Validity of the Leading Causes of Death Classification for Premature Mortality in Inflammatory Bowel Disease: A Population-Based Comparison with ICD-10 Coding in Ontario, Canada.Clinical epidemiology · 2025Article
- Regional and sociodemographic variation of incident first-episode psychosis in Ontario, Canada.International journal of population data science · 2025Article
- Development and validation of a population-based risk algorithm for premature mortality in Canada: the Premature Mortality Population Risk Tool (PreMPoRT).BMJ public health · 2024Article
- A national cohort study of community belonging and its influence on premature mortality.Journal of epidemiology and community health · 2024Article
- Risk of premature mortality due to smoking, alcohol use, obesity and physical activity varies by income: A population-based cohort study.SSM - population health · 2024Article
- Neighbourhood socioeconomic improvement, residential mobility and premature death: a population-based cohort study and inverse probability of treatment weighting analysis.International journal of epidemiology · 2023Article
- Geographic clustering of travel-acquired infections in Ontario, Canada, 2008-2020.PLOS global public health · 2023Article
- Area Deprivation and COVID-19 Incidence and Mortality in Bavaria, Germany: A Bayesian Geographical Analysis.Frontiers in public health · 2022Observational
- Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland.Scientific reports · 2021Article
- A spatiotemporal analysis of inequalities in life expectancy and 20 causes of mortality in sub-neighbourhoods of Metro Vancouver, British Columbia, Canada, 1990-2016.Health & place · 2021Article
- Neighbourhood Social Determinants of Health and Geographical Inequalities in Premature Mortality in Taiwan: A Spatiotemporal Approach.International journal of environmental research and public health · 2021Article
- A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT).Diagnostic and prognostic research · 2020Article
- Premature Mortality for Chronic Diseases in the EU Member States.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundPremature mortality is a meaningful indicator of both population health and health system performance, which varies by geography in Ontario. We used the Local Health Integration Network (LHIN) sub-regions to conduct a spatial analysis of premature mortality, adjusting for key population-level demographic and behavioural characteristics.
methodsWe used linked vital statistics data to identify 163,920 adult premature deaths (deaths between ages 18 and 74) registered in Ontario between 2011 and 2015. We compared premature mortality rates, population demographics, and prevalence of health-relevant behaviours across 76 LHIN sub-regions. We used Bayesian hierarchical spatial models to quantify the contribution of these population characteristics to geographic disparities in premature mortality.
resultsLHIN sub-region premature mortality rates ranged from 1.7 to 6.6 deaths per 1000 per year in males and 1.2 to 4.8 deaths per 1000 per year in females. Regions with higher premature mortality had fewer immigrants and higher prevalence of material deprivation, excess body weight, inadequate fruit and vegetable consumption, sedentary behaviour, and ever-smoked status. Adjusting for all variables eliminated close to 90% of geographic variation in premature mortality, but did not fully explain the spatial pattern of premature mortality in Ontario.
conclusionsWe conducted the first spatial analysis of mortality in Ontario, revealing large geographic variations. We demonstrate that well-known risk factors explain most of the observed variation in premature mortality. The result emphasizes the importance of population health efforts to reduce the burden of well-known risk factors to reduce variation in premature mortality.
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