Prediction of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropometric indexes in Hong Kong Chinese.
OBJECTIVE
It is important to determine what values of simple anthropometric measurements are associated with the presence of adverse cardiovascular risk factors such as diabetes or hypertension to provide an indication for further detailed investigations. In this analysis, we aimed to assess which anthropometric cutoff values are best at predicting the likelihood of diabetes, hypertension, dyslipidaemia and albuminuria in Hong Kong Chinese.


METHODS
The data were obtained from a previously reported prevalence survey for glucose intolerance in a representative Hong Kong Chinese working population.


METHODS
1513 subjects (910 men and 603 women) with mean age+/-s.d. 37.5+/-9.2 y.


METHODS
We examined the likelihood ratios of having diabetes, hypertension, dyslipidaemia and albuminuria in subjects with various cutoff values of the four simple anthropometric indexes, namely, body mass index, waist-hip ratio, waist circumference and the ratio of waist-to-height.


RESULTS
We developed a nomogram to show the predictive values of different indexes for the cardiovascular risk factors using likelihood ratio analysis. Using Caucasian mean levels of the simple anthropometric indexes to predict diabetes or hypertension in Hong Kong Chinese gave a high likelihood ratio of 2:3:5.


CONCLUSIONS
Higher levels of body mass index, waist-hip ratio, waist circumference and the ratio of waist-to-height are associated with risk of having diabetes mellitus or hypertension in Hong Kong Chinese as in Caucasians. However, the cutoff values of those anthropometric indexes to define obesity used in Caucasians may not be applicable to Chinese.
Ko
G T
GT
Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong. gtc_ko@hotmail.com
Chan
J C
JC
Cockram
C S
CS
Woo
J
J
D000328:Adult; D000419:Albuminuria / Q000175:diagnosis*; D000886:Anthropometry; D001824:Body Constitution; D001827:Body Height; D015992:Body Mass Index; D002318:Cardiovascular Diseases; D003920:Diabetes Mellitus / Q000175:diagnosis*; D005260:Female; D006723:Hong Kong; D006801:Humans; D006949:Hyperlipidemias / Q000175:diagnosis*; D006973:Hypertension / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors