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Multidimensional analysis of health in Mexico: implementation of fuzzy sets
BACKGROUND: The national health and nutrition survey allows to know the state of health of the Mexican population, it provides data for the analysis of different factors and / or indicators of health, diseases and nutritional conditions, such as chronic degenerative diseases and depressive symptoms,...
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/PMC8132378/ https://www.ncbi.nlm.nih.gov/pubmed/34006249 http://dx.doi.org/10.1186/s12889-021-10988-2 |
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author | Flores-Payan, Lucio Hernández-Corona, Diana Mercedes González-Heredia, Tonatiuh |
author_facet | Flores-Payan, Lucio Hernández-Corona, Diana Mercedes González-Heredia, Tonatiuh |
author_sort | Flores-Payan, Lucio |
collection | PubMed |
description | BACKGROUND: The national health and nutrition survey allows to know the state of health of the Mexican population, it provides data for the analysis of different factors and / or indicators of health, diseases and nutritional conditions, such as chronic degenerative diseases and depressive symptoms, which, in turn, if both occur simultaneously, they will have a negative impact on health. This article studies the four factors involved in the overall health of the population in Mexico: excess weight, diabetes, high blood pressure, and depressive symptoms, which are used to conduct a multidimensional characterization and analysis. METHODS: Two methodological resources are applied, a descriptive statistical characterization and the construction of a multidimensional health index with the use of fuzzy sets, through the National Health and Nutrition Survey (ENSANUT 2018–19 - for its acronym in Spanish) in Mexico. RESULTS: The results reveal a growing percentage of individuals who experience detriments to their health, that is, the factors being studied have had a negative impact and tend to follow international projections. The construction of a multidimensional index enables the interaction between the factors being studied, thus allowing for an adequate modeling for the identification of health in Mexico. CONCLUSION: This study aims to elucidate the current state of health throughout the population in Mexico by using the most current data provided by the autonomous public body of statistics and geography to build a multidimensional panorama using four elementary public health indicators (diabetes, obesity, high blood pressure, and depressive symptoms). |
format | Online Article Text |
id | pubmed-8132378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81323782021-05-19 Multidimensional analysis of health in Mexico: implementation of fuzzy sets Flores-Payan, Lucio Hernández-Corona, Diana Mercedes González-Heredia, Tonatiuh BMC Public Health Research BACKGROUND: The national health and nutrition survey allows to know the state of health of the Mexican population, it provides data for the analysis of different factors and / or indicators of health, diseases and nutritional conditions, such as chronic degenerative diseases and depressive symptoms, which, in turn, if both occur simultaneously, they will have a negative impact on health. This article studies the four factors involved in the overall health of the population in Mexico: excess weight, diabetes, high blood pressure, and depressive symptoms, which are used to conduct a multidimensional characterization and analysis. METHODS: Two methodological resources are applied, a descriptive statistical characterization and the construction of a multidimensional health index with the use of fuzzy sets, through the National Health and Nutrition Survey (ENSANUT 2018–19 - for its acronym in Spanish) in Mexico. RESULTS: The results reveal a growing percentage of individuals who experience detriments to their health, that is, the factors being studied have had a negative impact and tend to follow international projections. The construction of a multidimensional index enables the interaction between the factors being studied, thus allowing for an adequate modeling for the identification of health in Mexico. CONCLUSION: This study aims to elucidate the current state of health throughout the population in Mexico by using the most current data provided by the autonomous public body of statistics and geography to build a multidimensional panorama using four elementary public health indicators (diabetes, obesity, high blood pressure, and depressive symptoms). BioMed Central 2021-05-19 /pmc/articles/PMC8132378/ /pubmed/34006249 http://dx.doi.org/10.1186/s12889-021-10988-2 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 | Research Flores-Payan, Lucio Hernández-Corona, Diana Mercedes González-Heredia, Tonatiuh Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title | Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title_full | Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title_fullStr | Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title_full_unstemmed | Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title_short | Multidimensional analysis of health in Mexico: implementation of fuzzy sets |
title_sort | multidimensional analysis of health in mexico: implementation of fuzzy sets |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132378/ https://www.ncbi.nlm.nih.gov/pubmed/34006249 http://dx.doi.org/10.1186/s12889-021-10988-2 |
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