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



Lotfaliany M^{1, 2} ; Akbarpour S² ; Zafari N² ; Mansournia MA³ ; Asgari S² ; Azizi F⁴ ; Hadaegh F² ; Khalili D^{2, 5} Show Affiliations
Source: International Journal of Endocrinology and Metabolism Published:2018

Abstract

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. © 2017 American Association of Neuropathologists, Inc.