Abstract:
Anthropometric cut-off values derived for Caucasians
would be less sensitive to define obesity in Non-Caucasians. We aimed to derive
BMI and WC cut-offs for Sri Lankan adults. Methods: Data were from a
nationally representative sample of 4276 subjects without known diabetes.
Presence of ?2 of dysglycaemia (fasting glucose ?5.6mmol/l; 2-hr post OGTT
glucose ?7.8mmol/1), elevated blood pressure (? 130/85mmHg/antihypertensive
therapy), low HDLC (males <1.03mmol/l; females <1.3mmol/l) and elevated
triglycerides (>1.7mmol/l) was considered as having high cardiovascular disease
(CVD) risk. Receiver operating characteristic (ROC) curve analysis was
performed using SPSS to identify BMI and WC cut-offs with optimal sensitivity
and specificity to predict high CVD risk. Results: The mean age, BMI and WC
were 45.2 years, 21.8kg/m2 and 77.7cm. The area under the curve (AUC) for BMI
for both males (M) and females (F) were 0.71 (P<0.0001). AUC for WC were M:
0.71, F: 0.72 (p<0.0001). The BMI cut-off for all adults was 21.5kg/m2 and that
for males and females were 20.7 kg/m2 and 22.0 kg/m2 respectively. The WC cutoff for men and women were 76.5cm and 76.3cm respectively. The sensitivity for
the new BMI cut-off in predicting high CVD risk was 66% compared to 34% for
the cut-off for overweight (25kg/m2 ) for Caucasians. The sensitivities for WC
cut-offs recommended by the International Diabetes Federation for Asians (M:
90cm, F: 80cm) were M: 27% and F: 57%. Conclusions: Population specific
anthropometric cut-offs are more sensitive in identifying those with higher CVD
risk in Sri Lankans compared to those derived for Caucasians.
