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World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study

BACKGROUND: For addressing the burden of non-communicable diseases and policymaking, the world health organization uses World Bank income group to classify countries. This calcification method might not be optimal. This study aimed to investigate the role of World Bank income group, health expenditu...

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Autores principales: Lotfaliany, Mojtaba, Akbarpour, Samaneh, Zafari, Neda, Mansournia, Mohammad Ali, Asgari, Samaneh, Azizi, Fereidoun, Hadaegh, Farzad, Khalili, Davood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208042/
https://www.ncbi.nlm.nih.gov/pubmed/30464769
http://dx.doi.org/10.5812/ijem.59946
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author Lotfaliany, Mojtaba
Akbarpour, Samaneh
Zafari, Neda
Mansournia, Mohammad Ali
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
Khalili, Davood
author_facet Lotfaliany, Mojtaba
Akbarpour, Samaneh
Zafari, Neda
Mansournia, Mohammad Ali
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
Khalili, Davood
author_sort Lotfaliany, Mojtaba
collection PubMed
description BACKGROUND: For addressing the burden of non-communicable diseases and policymaking, the world health organization uses World Bank income group to classify countries. This calcification method might not be optimal. This study aimed to investigate the role of World Bank income group, health expenditure, and cardiometabolic risk factors of countries in explaining the gap between their cardiometabolic mortality. METHODS: In total, 190 countries were categorized into four income groups according to the World Bank definition. The energy consumption, health expenditure, and data of sex-specified age-standardized prevalence of obesity, hypercholesterolemia, hypertension, diabetes, smoking, and physical inactivity in 2008 and cardiometabolic mortality in 2012 were used. Multivariable-adjusted mixed-effect linear regression models were applied to relate country-level predictors to their mortality outcomes. RESULTS: While the lowest cardiometabolic mortality was recorded in high-income countries in both genders, the highest rates were recorded in the low-income category for women and in low and middle-income for men. Countries had lower cardiometabolic mortality for women compared to men; however, such a difference was not shown in low-income countries. World Bank income group of countries, per se, explained one-third of the variation in their mortality outcomes while adding health expenditure, energy consumption, and cardiometabolic risk factors increased the explanatory power of the model considerably. Moreover, the more the health expenditure, the weaker the association of prevalence of hypertension with cardiometabolic mortality. CONCLUSIONS: Adding countries’ health expenditure and/or the prevalence of risk factors to their World Bank income group may contribute to the better explanation of the gap between them in cardiometabolic mortality.
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spelling pubmed-62080422018-11-21 World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study Lotfaliany, Mojtaba Akbarpour, Samaneh Zafari, Neda Mansournia, Mohammad Ali Asgari, Samaneh Azizi, Fereidoun Hadaegh, Farzad Khalili, Davood Int J Endocrinol Metab Research Article BACKGROUND: For addressing the burden of non-communicable diseases and policymaking, the world health organization uses World Bank income group to classify countries. This calcification method might not be optimal. This study aimed to investigate the role of World Bank income group, health expenditure, and cardiometabolic risk factors of countries in explaining the gap between their cardiometabolic mortality. METHODS: In total, 190 countries were categorized into four income groups according to the World Bank definition. The energy consumption, health expenditure, and data of sex-specified age-standardized prevalence of obesity, hypercholesterolemia, hypertension, diabetes, smoking, and physical inactivity in 2008 and cardiometabolic mortality in 2012 were used. Multivariable-adjusted mixed-effect linear regression models were applied to relate country-level predictors to their mortality outcomes. RESULTS: While the lowest cardiometabolic mortality was recorded in high-income countries in both genders, the highest rates were recorded in the low-income category for women and in low and middle-income for men. Countries had lower cardiometabolic mortality for women compared to men; however, such a difference was not shown in low-income countries. World Bank income group of countries, per se, explained one-third of the variation in their mortality outcomes while adding health expenditure, energy consumption, and cardiometabolic risk factors increased the explanatory power of the model considerably. Moreover, the more the health expenditure, the weaker the association of prevalence of hypertension with cardiometabolic mortality. CONCLUSIONS: Adding countries’ health expenditure and/or the prevalence of risk factors to their World Bank income group may contribute to the better explanation of the gap between them in cardiometabolic mortality. Kowsar 2018-07-10 /pmc/articles/PMC6208042/ /pubmed/30464769 http://dx.doi.org/10.5812/ijem.59946 Text en Copyright © 2018, International Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited
spellingShingle Research Article
Lotfaliany, Mojtaba
Akbarpour, Samaneh
Zafari, Neda
Mansournia, Mohammad Ali
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
Khalili, Davood
World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title_full World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title_fullStr World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title_full_unstemmed World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title_short World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study
title_sort world bank income group, health expenditure or cardiometabolic risk factors? a further explanation of the wide gap in cardiometabolic mortality between worldwide countries: an ecological study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208042/
https://www.ncbi.nlm.nih.gov/pubmed/30464769
http://dx.doi.org/10.5812/ijem.59946
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