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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...

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Autores principales: LILLINI, R., MASANOTTI, G., BIANCONI, F., GILI, A., STRACCI, F., LA ROSA, F., VERCELLI, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2019
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.
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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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