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Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population

BACKGROUND: The status of health of an individual and - more broadly - of a community or population is defined by the status of their determinants of health. A “systemic” approach to define the health determinants is necessary in order to explore the complex relations existing among them. This study...

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Autores principales: Tebala, Domenico, Tebala, Giovanni Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086276/
https://www.ncbi.nlm.nih.gov/pubmed/33926563
http://dx.doi.org/10.1186/s13690-021-00590-8
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author Tebala, Domenico
Tebala, Giovanni Domenico
author_facet Tebala, Domenico
Tebala, Giovanni Domenico
author_sort Tebala, Domenico
collection PubMed
description BACKGROUND: The status of health of an individual and - more broadly - of a community or population is defined by the status of their determinants of health. A “systemic” approach to define the health determinants is necessary in order to explore the complex relations existing among them. This study is aimed at identifying a ‘composite systemic’ index of health to measure the impact of socioeconomic factors on public health at local level and to analyze possible spatial autocorrelations between neighboring regions. RESULTS: A Composite Index of Health (CIH) was constructed on the basis of known indicators of socio-economic well-being by using the COMIC (COMposite Indices Creator) Software and was validated on the Italian population and a nationwide comparison has been performed. Analysis of the determinants showed a significant direct correlation between health, environment, work and wealth and inverse correlation between health and social distress. The analysis of data from Italian provinces confirmed the South-North gradient of well-being. CONCLUSION: The CIH is a reliable and robust index to evaluate the health of a local population. Although it was validated on Italian data, the index can be easily adapted to any Country.
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spelling pubmed-80862762021-04-30 Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population Tebala, Domenico Tebala, Giovanni Domenico Arch Public Health Methodology BACKGROUND: The status of health of an individual and - more broadly - of a community or population is defined by the status of their determinants of health. A “systemic” approach to define the health determinants is necessary in order to explore the complex relations existing among them. This study is aimed at identifying a ‘composite systemic’ index of health to measure the impact of socioeconomic factors on public health at local level and to analyze possible spatial autocorrelations between neighboring regions. RESULTS: A Composite Index of Health (CIH) was constructed on the basis of known indicators of socio-economic well-being by using the COMIC (COMposite Indices Creator) Software and was validated on the Italian population and a nationwide comparison has been performed. Analysis of the determinants showed a significant direct correlation between health, environment, work and wealth and inverse correlation between health and social distress. The analysis of data from Italian provinces confirmed the South-North gradient of well-being. CONCLUSION: The CIH is a reliable and robust index to evaluate the health of a local population. Although it was validated on Italian data, the index can be easily adapted to any Country. BioMed Central 2021-04-29 /pmc/articles/PMC8086276/ /pubmed/33926563 http://dx.doi.org/10.1186/s13690-021-00590-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Tebala, Domenico
Tebala, Giovanni Domenico
Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title_full Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title_fullStr Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title_full_unstemmed Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title_short Calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
title_sort calculation and internal validation of a new synthetic and autocorrelate index to combine the determinants of health of a population
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086276/
https://www.ncbi.nlm.nih.gov/pubmed/33926563
http://dx.doi.org/10.1186/s13690-021-00590-8
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