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Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning

BACKGROUND: Population health planning aims to improve the health of the entire population and to reduce health inequities among population groups. Socioeconomic factors are increasingly being recognized as major determinants of many aspects of health and causes of health inequities. Knowledge of so...

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Autores principales: Odoi, Agricola, Wray, Ron, Emo, Marion, Birch, Stephen, Hutchison, Brian, Eyles, John, Abernathy, Tom
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1201163/
https://www.ncbi.nlm.nih.gov/pubmed/16092969
http://dx.doi.org/10.1186/1476-072X-4-20
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author Odoi, Agricola
Wray, Ron
Emo, Marion
Birch, Stephen
Hutchison, Brian
Eyles, John
Abernathy, Tom
author_facet Odoi, Agricola
Wray, Ron
Emo, Marion
Birch, Stephen
Hutchison, Brian
Eyles, John
Abernathy, Tom
author_sort Odoi, Agricola
collection PubMed
description BACKGROUND: Population health planning aims to improve the health of the entire population and to reduce health inequities among population groups. Socioeconomic factors are increasingly being recognized as major determinants of many aspects of health and causes of health inequities. Knowledge of socioeconomic characteristics of neighbourhoods is necessary to identify their unique health needs and enhance identification of socioeconomically disadvantaged populations. Careful integration of this knowledge into health planning activities is necessary to ensure that health planning and service provision are tailored to unique neighbourhood population health needs. In this study, we identify unique neighbourhood socioeconomic characteristics and classify the neighbourhoods based on these characteristics. Principal components analysis (PCA) of 18 socioeconomic variables was used to identify the principal components explaining most of the variation in socioeconomic characteristics across the neighbourhoods. Cluster analysis was used to classify neighbourhoods based on their socioeconomic characteristics. RESULTS: Results of the PCA and cluster analysis were similar but the latter were more objective and easier to interpret. Five neighbourhood types with distinguishing socioeconomic and demographic characteristics were identified. The methodology provides a more complete picture of the neighbourhood socioeconomic characteristics than when a single variable (e.g. income) is used to classify neighbourhoods. CONCLUSION: Cluster analysis is useful for generating neighbourhood population socioeconomic and demographic characteristics that can be useful in guiding neighbourhood health planning and service provision. This study is the first of a series of studies designed to investigate health inequalities at the neighbourhood level with a view to providing evidence-base for health planners, service providers and policy makers to help address health inequity issues at the neighbourhood level. Subsequent studies will investigate inequalities in health outcomes both within and across the neighbourhood types identified in the current study.
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spelling pubmed-12011632005-09-10 Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning Odoi, Agricola Wray, Ron Emo, Marion Birch, Stephen Hutchison, Brian Eyles, John Abernathy, Tom Int J Health Geogr Research BACKGROUND: Population health planning aims to improve the health of the entire population and to reduce health inequities among population groups. Socioeconomic factors are increasingly being recognized as major determinants of many aspects of health and causes of health inequities. Knowledge of socioeconomic characteristics of neighbourhoods is necessary to identify their unique health needs and enhance identification of socioeconomically disadvantaged populations. Careful integration of this knowledge into health planning activities is necessary to ensure that health planning and service provision are tailored to unique neighbourhood population health needs. In this study, we identify unique neighbourhood socioeconomic characteristics and classify the neighbourhoods based on these characteristics. Principal components analysis (PCA) of 18 socioeconomic variables was used to identify the principal components explaining most of the variation in socioeconomic characteristics across the neighbourhoods. Cluster analysis was used to classify neighbourhoods based on their socioeconomic characteristics. RESULTS: Results of the PCA and cluster analysis were similar but the latter were more objective and easier to interpret. Five neighbourhood types with distinguishing socioeconomic and demographic characteristics were identified. The methodology provides a more complete picture of the neighbourhood socioeconomic characteristics than when a single variable (e.g. income) is used to classify neighbourhoods. CONCLUSION: Cluster analysis is useful for generating neighbourhood population socioeconomic and demographic characteristics that can be useful in guiding neighbourhood health planning and service provision. This study is the first of a series of studies designed to investigate health inequalities at the neighbourhood level with a view to providing evidence-base for health planners, service providers and policy makers to help address health inequity issues at the neighbourhood level. Subsequent studies will investigate inequalities in health outcomes both within and across the neighbourhood types identified in the current study. BioMed Central 2005-08-10 /pmc/articles/PMC1201163/ /pubmed/16092969 http://dx.doi.org/10.1186/1476-072X-4-20 Text en Copyright © 2005 Odoi 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
Odoi, Agricola
Wray, Ron
Emo, Marion
Birch, Stephen
Hutchison, Brian
Eyles, John
Abernathy, Tom
Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title_full Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title_fullStr Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title_full_unstemmed Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title_short Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
title_sort inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health planning
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1201163/
https://www.ncbi.nlm.nih.gov/pubmed/16092969
http://dx.doi.org/10.1186/1476-072X-4-20
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