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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-8086276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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