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Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006

BACKGROUND: In Austria, over the last 20 years infant mortality declined from 11.2 per 1,000 life births (1985) to 4.7 per 1,000 in1997 but remained rather constant since then. In addition to this time trend we already reported a non-random spatial distribution of infant mortality rates in a recent...

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Autores principales: Waldhoer, Thomas, Wald, Martin, Heinzl, Harald
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432051/
https://www.ncbi.nlm.nih.gov/pubmed/18495006
http://dx.doi.org/10.1186/1476-072X-7-21
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author Waldhoer, Thomas
Wald, Martin
Heinzl, Harald
author_facet Waldhoer, Thomas
Wald, Martin
Heinzl, Harald
author_sort Waldhoer, Thomas
collection PubMed
description BACKGROUND: In Austria, over the last 20 years infant mortality declined from 11.2 per 1,000 life births (1985) to 4.7 per 1,000 in1997 but remained rather constant since then. In addition to this time trend we already reported a non-random spatial distribution of infant mortality rates in a recent study covering the time period 1984 to 2002. This present study includes four additional years and now covers about 1.9 million individual birth certificates. It aimes to elucidate the observed non-random spatial distribution in more detail. We split up infant mortality into six groups according to the underlying cause of death. The underlying spatial distribution of standardized mortality ratios (SMR) is estimated by univariate models as well as by two models incorporating all six groups simultaneously. RESULTS: We observe strong correlations between the individual spatial patterns of SMR's except for "Sudden Infant Death Syndrome" and to some extent for "Peripartal Problems". The spatial distribution of SMR's is non-random with an area of decreased risk in the South-East of Austria. The group "Sudden Infant Death Syndrome" clearly and the group "Peripartal Problems" slightly show deviations from the common pattern. When comparing univariate and multivariate SMR estimates we observe that the resulting spatial distributions are very similar. CONCLUSION: We observe different non-random spatial distributions of infant mortality rates when grouped by cause of death. The models applied were based on individual data thereby avoiding ecological regression bias. The estimated spatial distributions do not substantially depend on the employed estimation method. The observed non-random spatial patterns of Austrian infant mortality remain to appear ambiguous.
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spelling pubmed-24320512008-06-20 Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006 Waldhoer, Thomas Wald, Martin Heinzl, Harald Int J Health Geogr Research BACKGROUND: In Austria, over the last 20 years infant mortality declined from 11.2 per 1,000 life births (1985) to 4.7 per 1,000 in1997 but remained rather constant since then. In addition to this time trend we already reported a non-random spatial distribution of infant mortality rates in a recent study covering the time period 1984 to 2002. This present study includes four additional years and now covers about 1.9 million individual birth certificates. It aimes to elucidate the observed non-random spatial distribution in more detail. We split up infant mortality into six groups according to the underlying cause of death. The underlying spatial distribution of standardized mortality ratios (SMR) is estimated by univariate models as well as by two models incorporating all six groups simultaneously. RESULTS: We observe strong correlations between the individual spatial patterns of SMR's except for "Sudden Infant Death Syndrome" and to some extent for "Peripartal Problems". The spatial distribution of SMR's is non-random with an area of decreased risk in the South-East of Austria. The group "Sudden Infant Death Syndrome" clearly and the group "Peripartal Problems" slightly show deviations from the common pattern. When comparing univariate and multivariate SMR estimates we observe that the resulting spatial distributions are very similar. CONCLUSION: We observe different non-random spatial distributions of infant mortality rates when grouped by cause of death. The models applied were based on individual data thereby avoiding ecological regression bias. The estimated spatial distributions do not substantially depend on the employed estimation method. The observed non-random spatial patterns of Austrian infant mortality remain to appear ambiguous. BioMed Central 2008-05-21 /pmc/articles/PMC2432051/ /pubmed/18495006 http://dx.doi.org/10.1186/1476-072X-7-21 Text en Copyright © 2008 Waldhoer et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Waldhoer, Thomas
Wald, Martin
Heinzl, Harald
Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title_full Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title_fullStr Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title_full_unstemmed Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title_short Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
title_sort analysis of the spatial distribution of infant mortality by cause of death in austria in 1984 to 2006
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432051/
https://www.ncbi.nlm.nih.gov/pubmed/18495006
http://dx.doi.org/10.1186/1476-072X-7-21
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