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Regional indices of socio-economic and health inequalities: a tool for public health programming
OBJECTIVES: The aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and co...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pacini Editore Srl
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953449/ https://www.ncbi.nlm.nih.gov/pubmed/31967087 http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.4.1257 |
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author | LILLINI, R. MASANOTTI, G. BIANCONI, F. GILI, A. STRACCI, F. LA ROSA, F. VERCELLI, M. |
author_facet | LILLINI, R. MASANOTTI, G. BIANCONI, F. GILI, A. STRACCI, F. LA ROSA, F. VERCELLI, M. |
author_sort | LILLINI, R. |
collection | PubMed |
description | OBJECTIVES: The aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and compared with the Italian National Deprivation Index at the Umbria regional level (NDI-U). METHODS: The USHI was computed by applying factor analysis to census tract SE variables correlated with general mortality and validated through comparison with the NDI-U. RESULTS: Overall mortality presented linear positive trends in USHI, while trends in NDI-U proved non-linear or non-significant. Similar results were obtained with regard to specific causes of death according to deprivation groups, gender and age. CONCLUSIONS: The USHI better describes a local population in terms of health-related SE status. Policy-makers could therefore adopt this method in order to obtain a better picture of SE-associated health conditions in regional populations and to target strategies for reducing health inequalities. |
format | Online Article Text |
id | pubmed-6953449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Pacini Editore Srl |
record_format | MEDLINE/PubMed |
spelling | pubmed-69534492020-01-21 Regional indices of socio-economic and health inequalities: a tool for public health programming LILLINI, R. MASANOTTI, G. BIANCONI, F. GILI, A. STRACCI, F. LA ROSA, F. VERCELLI, M. J Prev Med Hyg Original Article OBJECTIVES: The aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and compared with the Italian National Deprivation Index at the Umbria regional level (NDI-U). METHODS: The USHI was computed by applying factor analysis to census tract SE variables correlated with general mortality and validated through comparison with the NDI-U. RESULTS: Overall mortality presented linear positive trends in USHI, while trends in NDI-U proved non-linear or non-significant. Similar results were obtained with regard to specific causes of death according to deprivation groups, gender and age. CONCLUSIONS: The USHI better describes a local population in terms of health-related SE status. Policy-makers could therefore adopt this method in order to obtain a better picture of SE-associated health conditions in regional populations and to target strategies for reducing health inequalities. Pacini Editore Srl 2019-12-20 /pmc/articles/PMC6953449/ /pubmed/31967087 http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.4.1257 Text en ©2019 Pacini Editore SRL, Pisa, Italy http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Article LILLINI, R. MASANOTTI, G. BIANCONI, F. GILI, A. STRACCI, F. LA ROSA, F. VERCELLI, M. Regional indices of socio-economic and health inequalities: a tool for public health programming |
title | Regional indices of socio-economic and health inequalities: a tool for public health programming |
title_full | Regional indices of socio-economic and health inequalities: a tool for public health programming |
title_fullStr | Regional indices of socio-economic and health inequalities: a tool for public health programming |
title_full_unstemmed | Regional indices of socio-economic and health inequalities: a tool for public health programming |
title_short | Regional indices of socio-economic and health inequalities: a tool for public health programming |
title_sort | regional indices of socio-economic and health inequalities: a tool for public health programming |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953449/ https://www.ncbi.nlm.nih.gov/pubmed/31967087 http://dx.doi.org/10.15167/2421-4248/jpmh2019.60.4.1257 |
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