Issue
Article Subject
Medicine
Abstract

Background

Many researchers have suggested that obesity; especially abdominal obesity may have higher predictive value for coronary heart disease and its risk factors. Since abdominal fat predicts a higher risk for coronary heart disease, waist circumference provides more information on risk assessment than body mass index alone.
Waist measurement and waist-height ratio have been used as Proxy measures of visceral adipose tissue, mainly in adults.
Objectives: to determine the relation between the prevalence of the coronary heart disease and anthropometric indices.
Material and Method: A sample of 250 patients from Sudan heart center, adults were assessed in the period of July – December 2011-2012 in an observational case finding study on all basic population. Data collection included questionnaires, anthropometric measures, such as body mass index, waist circumference and waist-height ratio. Food frequency was also investigated.
Results: The prevalence of general obesity (body mass index) among coronary heart disease patients was found to be, (overweight 37.6%), (obese class1 19.5%), (obese class2 10.5%), and (obese class3 0.8%) in men. On the other hand the prevalence of general obesity (body mass index) among women was found to be, (overweight 46.2%), (12% obese class1), (7.7% obese class2), and (2.6% obese class3).
High Waist circumference in females was found to be (between the ranges of 80-87.9cm) (7.7%) overweight and (87.2%) were obese (equal or more than 88cm). waist circumference among male (20.3%) was found to be (94-101.9cm) and 53.4% equal or more than 102. regarding Waist-height ratio, it was equal to or more than 0.5 among male and female (97%), (96.6%) respectively.
Significant correlation was found between anthropometric indices and food frequency intake, particularly white bread and lamb meat. Also Strong correlation was observed between anthropometric indices and hypercholesterolemia in men.
Conclusion: Anthropometric measurement should be used as screening tool to identify at risk of coronary heart disease. An unhealthy diet contributes to develop coronary heart disease

Keywords
coronary heart disease
body mass index
obesity
waist circumference
waist-height ratio.
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