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Spatial analysis of cardiovascular mortality and associated factors around the world

BACKGROUND: Cardiovascular disease (CVD) is one of the most serious health issues and the leading cause of death worldwide in both developed and developing countries. The risk factors for CVD include demographic, socioeconomic, behavioral, environmental, and physiological factors. However, the spati...

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Autores principales: Baptista, Emerson Augusto, Queiroz, Bernardo Lanza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380346/
https://www.ncbi.nlm.nih.gov/pubmed/35974391
http://dx.doi.org/10.1186/s12889-022-13955-7
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author Baptista, Emerson Augusto
Queiroz, Bernardo Lanza
author_facet Baptista, Emerson Augusto
Queiroz, Bernardo Lanza
author_sort Baptista, Emerson Augusto
collection PubMed
description BACKGROUND: Cardiovascular disease (CVD) is one of the most serious health issues and the leading cause of death worldwide in both developed and developing countries. The risk factors for CVD include demographic, socioeconomic, behavioral, environmental, and physiological factors. However, the spatial distribution of these risk factors, as well as CVD mortality, are not uniformly distributed across countries. Therefore, the goal of this study is to compare and evaluate some models commonly used in mortality and health studies to investigate whether the CVD mortality rates in the adult population (over 30 years of age) of a country are associated with the characteristics of surrounding countries from 2013 to 2017. METHODS: We present the spatial distribution of the age-standardized crude mortality rate from cardiovascular disease, as well as conduct an exploratory data analysis (EDA) to obtain a basic understanding of the behavior of the variables of interest. Then, we apply the ordinary least squares (OLS) to the country level dataset. As OLS does not take into account the spatial dependence of the data, we apply two spatial modelling techniques, that is, spatial lag and spatial error models. RESULTS: Our empirical findings show that the relationship between CVD and income, as well as other socioeconomic variables, are important. In addition, we highlight the importance of understanding how changes in individual behavior across different countries might affect future trends in CVD mortality, especially related to smoking and dietary behaviors. CONCLUSIONS: We argue that this study provides useful clues for policymakers establishing effective public health planning and measures for the prevention of deaths from cardiovascular disease. The reduction of CVD mortality can positively impact GDP growth because increasing life expectancy enables people to contribute to the economy of the country and its regions for longer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13955-7.
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spelling pubmed-93803462022-08-17 Spatial analysis of cardiovascular mortality and associated factors around the world Baptista, Emerson Augusto Queiroz, Bernardo Lanza BMC Public Health Research BACKGROUND: Cardiovascular disease (CVD) is one of the most serious health issues and the leading cause of death worldwide in both developed and developing countries. The risk factors for CVD include demographic, socioeconomic, behavioral, environmental, and physiological factors. However, the spatial distribution of these risk factors, as well as CVD mortality, are not uniformly distributed across countries. Therefore, the goal of this study is to compare and evaluate some models commonly used in mortality and health studies to investigate whether the CVD mortality rates in the adult population (over 30 years of age) of a country are associated with the characteristics of surrounding countries from 2013 to 2017. METHODS: We present the spatial distribution of the age-standardized crude mortality rate from cardiovascular disease, as well as conduct an exploratory data analysis (EDA) to obtain a basic understanding of the behavior of the variables of interest. Then, we apply the ordinary least squares (OLS) to the country level dataset. As OLS does not take into account the spatial dependence of the data, we apply two spatial modelling techniques, that is, spatial lag and spatial error models. RESULTS: Our empirical findings show that the relationship between CVD and income, as well as other socioeconomic variables, are important. In addition, we highlight the importance of understanding how changes in individual behavior across different countries might affect future trends in CVD mortality, especially related to smoking and dietary behaviors. CONCLUSIONS: We argue that this study provides useful clues for policymakers establishing effective public health planning and measures for the prevention of deaths from cardiovascular disease. The reduction of CVD mortality can positively impact GDP growth because increasing life expectancy enables people to contribute to the economy of the country and its regions for longer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13955-7. BioMed Central 2022-08-16 /pmc/articles/PMC9380346/ /pubmed/35974391 http://dx.doi.org/10.1186/s12889-022-13955-7 Text en © The Author(s) 2022 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
Baptista, Emerson Augusto
Queiroz, Bernardo Lanza
Spatial analysis of cardiovascular mortality and associated factors around the world
title Spatial analysis of cardiovascular mortality and associated factors around the world
title_full Spatial analysis of cardiovascular mortality and associated factors around the world
title_fullStr Spatial analysis of cardiovascular mortality and associated factors around the world
title_full_unstemmed Spatial analysis of cardiovascular mortality and associated factors around the world
title_short Spatial analysis of cardiovascular mortality and associated factors around the world
title_sort spatial analysis of cardiovascular mortality and associated factors around the world
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380346/
https://www.ncbi.nlm.nih.gov/pubmed/35974391
http://dx.doi.org/10.1186/s12889-022-13955-7
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