Association between obesity and diabetes using nested linear models
Sivarajasingam, S., Barzi, F., Colman, S. and Lo, Sing Kai 2004, Association between obesity and diabetes using nested linear models, in Proceedings of the International Sri Lankan statistical conference : visions of futuristic methodologies, University of Peradeniya, Postgraduate Institute of Science, Sri Lanka; Melbourne, pp. 441-445.
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Association between obesity and diabetes using nested linear models
A data source with 7260 cases from the prospective observational study was used. Cases included both sexes and age ranging between 20yr and 7Oyr. Chi-squared tests and linear models were used to examine the effects of age (linear and quadratic), sex, smoking habit (currently a smoker or non-smoker), presence or absence of type 2 diabetes on obesity as measured by body mass index (BMI) and waist to hip ratio (WHR). Both these measures of obesity were significantly affected by age, sex and the presence of diabetes. Cases with diabetes were significantly more obese (10%) between the ages 40yr to 59yr compared to patients without diabetes. These results accentuate the need to further examine the association between age, diabetes and obesity and other risk factors with cardiovascular diseases.
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Reproduced with the kind permission of the copyright owner.