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Global Variability in Angina Pectoris and Its Association With Body Mass Index and Poverty
Journal article   Peer reviewed

Global Variability in Angina Pectoris and Its Association With Body Mass Index and Poverty

Longjian Liu, Jixiang Ma, Xiaoyan Yin, Ellie Kelepouris and Howard J Eisen
The American journal of cardiology, v 107(5), pp 655-661
2011
DOI: https://doi.org/10.1016/j.amjcard.2010.10.040
PMID: 21184998
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

In the absence of a previous global comparison, we examined the variability in the prevalence of angina across 52 countries and its association with body weight and the poverty index using data from the World Health Organization-World Health Survey. The participants with angina were defined as those who had positive results using a Rose angina questionnaire and/or self-report of a physician diagnosis of angina. The body mass index (BMI) was determined as the weight in kilograms divided by the square of the height in meters. The poverty index (a standard score of socioeconomic status for a given country) was extracted from the United Nations' statistics. The associations of angina with the BMI and poverty index were analyzed cross-sectionally using univariate and multivariate analyses. The results showed that the total participants (n = 210,787) had an average age of 40.64 years. The prevalence of angina ranged from 2.44% in Tunisia to 23.89% in Chad. Those participants with a BMI of <18.5 kg/m 2 (underweight), 25 to 29 kg/m 2 (overweight), or BMI ≥30 kg/m 2 (obese) had a significantly greater risk of having angina compared to those with a normal BMI (≥18.5 but <25 k/m 2). The odds ratios of overweight and obese for angina remained significant in the multilevel models, in which the influence of the country-level poverty status was considered. A tendency was seen for underweight status and a poverty index >14.65% to be associated with the risk of having angina, although these associations were not statistically significant in the multilevel models. In conclusion, significant variations were found in the anginal rates across 52 countries worldwide. An increased BMI was significantly associated with the odds of having angina.

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8 citations in Web of Science
10 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#10 Reduced Inequalities
#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
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