Cardiovascular Journal of Africa: Vol 26 No 1 (January/February 2015)

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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 26, No 1, January/February 2015 16 AFRICA
Although in our study, regression analysis for confounding
factors such as DM, HTN, cigarette smoking and hyperlipidaemia
revealed a statistically significant correlation between them and
the severity of CAD (p = 0.002, p = 0.001, p = 0.04 and p = 0.02,
respectively), after omission of confounding factors, there was still
a paradoxical relationship between BMI and severity of CAD.
β-coefficients before multivariate analysis were –0.2 and –0.18,
and after multivariate analysis they were –0.17 and –0.14, based
on the SYNTAX and Duke scores, respectively. This showed an
inverse relationship between BMI and severity of CAD.
The limitation of our study was that lower BMI (20–24 kg/m 2)
was more prevalent (56.2%) in the older age groups (> 60 years),
and higher BMI (30–34 kg/m2) was more common (57.8%) in
the younger age groups (40–59 years). As in the study by Niraj
et al.,11 it can be concluded that patents with a higher BMI have
been evaluated earlier for CAD. This indicates a need for a larger
study with more age-matched groups.
Conclusion
The findings of this study, paradoxically, showed a negative
correlation between BMI and the severity of CAD, but a positive
correlation between WHR and the severity of CAD.
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