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Geographic disparity in premature mortality in Ontario, 1992–1996

BACKGROUND: Standardized mortality ratios are used to identify geographic areas with higher or lower mortality than expected. This article examines geographic disparity in premature mortality in Ontario, Canada, at three geographic levels of population and considers factors that may underlie variati...

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Autores principales: Altmayer, Chris A, Hutchison, Brian G, Torrance-Rynard, Vicki L, Hurley, Jeremiah, Birch, Stephen, Eyles, John D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC222916/
https://www.ncbi.nlm.nih.gov/pubmed/14561226
http://dx.doi.org/10.1186/1476-072X-2-7
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author Altmayer, Chris A
Hutchison, Brian G
Torrance-Rynard, Vicki L
Hurley, Jeremiah
Birch, Stephen
Eyles, John D
author_facet Altmayer, Chris A
Hutchison, Brian G
Torrance-Rynard, Vicki L
Hurley, Jeremiah
Birch, Stephen
Eyles, John D
author_sort Altmayer, Chris A
collection PubMed
description BACKGROUND: Standardized mortality ratios are used to identify geographic areas with higher or lower mortality than expected. This article examines geographic disparity in premature mortality in Ontario, Canada, at three geographic levels of population and considers factors that may underlie variations in premature mortality across geographic areas. All-cause, sex and disease chapter specific premature mortality were analyzed at the regional, district and public health unit level to determine the extent of geographic variation. Standardized mortality ratios for persons aged 0–74 years were calculated to identify geographic areas with significantly higher or lower premature mortality than expected, using Ontario death rates as the basis for the calculation of expected deaths in the local population. Data are also presented from the household component of the 1996/97 National Population Health Survey and from the 1996 Statistics Canada Census. RESULTS: Results showed approximately 20% higher than expected all-cause premature mortality for males and females in the North region. However, disparity in all-cause premature mortality in Ontario was most pronounced at the public health unit level, ranging from 20% lower than expected to 30% higher than expected. Premature mortality disparities were largely influenced by neoplasms, circulatory diseases, injuries and poisoning, respiratory diseases and digestive diseases, which accounted for more than 80% of all premature deaths. Premature mortality disparities were also more pronounced for disease chapter specific mortality. CONCLUSION: Geographic disparities in premature mortality are clearly greater at the small area level. Geographic disparities in premature mortality undoubtedly reflect the underlying distribution of population health determinants such as health related behaviours, social, economic and environmental influences.
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spelling pubmed-2229162003-10-24 Geographic disparity in premature mortality in Ontario, 1992–1996 Altmayer, Chris A Hutchison, Brian G Torrance-Rynard, Vicki L Hurley, Jeremiah Birch, Stephen Eyles, John D Int J Health Geogr Research BACKGROUND: Standardized mortality ratios are used to identify geographic areas with higher or lower mortality than expected. This article examines geographic disparity in premature mortality in Ontario, Canada, at three geographic levels of population and considers factors that may underlie variations in premature mortality across geographic areas. All-cause, sex and disease chapter specific premature mortality were analyzed at the regional, district and public health unit level to determine the extent of geographic variation. Standardized mortality ratios for persons aged 0–74 years were calculated to identify geographic areas with significantly higher or lower premature mortality than expected, using Ontario death rates as the basis for the calculation of expected deaths in the local population. Data are also presented from the household component of the 1996/97 National Population Health Survey and from the 1996 Statistics Canada Census. RESULTS: Results showed approximately 20% higher than expected all-cause premature mortality for males and females in the North region. However, disparity in all-cause premature mortality in Ontario was most pronounced at the public health unit level, ranging from 20% lower than expected to 30% higher than expected. Premature mortality disparities were largely influenced by neoplasms, circulatory diseases, injuries and poisoning, respiratory diseases and digestive diseases, which accounted for more than 80% of all premature deaths. Premature mortality disparities were also more pronounced for disease chapter specific mortality. CONCLUSION: Geographic disparities in premature mortality are clearly greater at the small area level. Geographic disparities in premature mortality undoubtedly reflect the underlying distribution of population health determinants such as health related behaviours, social, economic and environmental influences. BioMed Central 2003-09-25 /pmc/articles/PMC222916/ /pubmed/14561226 http://dx.doi.org/10.1186/1476-072X-2-7 Text en Copyright © 2003 Altmayer et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research
Altmayer, Chris A
Hutchison, Brian G
Torrance-Rynard, Vicki L
Hurley, Jeremiah
Birch, Stephen
Eyles, John D
Geographic disparity in premature mortality in Ontario, 1992–1996
title Geographic disparity in premature mortality in Ontario, 1992–1996
title_full Geographic disparity in premature mortality in Ontario, 1992–1996
title_fullStr Geographic disparity in premature mortality in Ontario, 1992–1996
title_full_unstemmed Geographic disparity in premature mortality in Ontario, 1992–1996
title_short Geographic disparity in premature mortality in Ontario, 1992–1996
title_sort geographic disparity in premature mortality in ontario, 1992–1996
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC222916/
https://www.ncbi.nlm.nih.gov/pubmed/14561226
http://dx.doi.org/10.1186/1476-072X-2-7
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