Best anthropometric and atherogenic predictors of metabolic syndrome in the Chinese Han population in Xinjiang: the Cardiovascular Risk Survey.
OBJECTIVE
This study aimed to identify the best predictor of metabolic syndrome (MetS) by comparing the predicting ability of various anthropometric and atherogenic parameters in the Chinese Han population in Xinjiang.


METHODS
A representative, cross-sectional sample of 5,757 Chinese Han adults were selected from the Cardiovascular Risk Survey conducted from October 2007 to March 2010. MetS prevalence, area under the curve (AUC), distance on the receiver operating characteristic curve and the cut-offs of each variable were compared for the presence of MetS.


RESULTS
According to the criteria of the International Diabetes Federation (IDF), the Joint Interim Statement (JIS) and the Third Adult Treatment Panel (ATPIII), 32.1, 48.5, 39.3% of men and 38.0, 45.1, 44.9% of women had MetS in Xinjiang. According to the IDF criteria, the waist-to-height ratio (WHtR) had the highest AUC value in men (0.836) and women (0.837), with the optimal cut-off of 0.54 in men and 0.53 in women. According to both the JIS and ATPIII criteria, triglycerides/high-density lipoprotein cholesterol TG/HDL-C had the highest AUC value in men (0.830 and 0.833, respectively) and women (0.832 and 0.827, respectively), with the optimal cut-offs being 1.6 and 1.2 in men and 1.1 and 1.1 in women, respectively.


CONCLUSIONS
WHtR was the best predictor of MetS according to the IDF criteria while TG/HDL-C was the best predictor of MetS according to the JIS and ATPIII criteria.
Xinjiang Key Laboratory of Cardiovascular Disease, Clinical Medical Research Institute, Urumqi, People's Republic of China.
Bang-Dang
BD
Chen
Chun-Hui
CH
He
Yi-Tong
YT
Ma
Yi-Ning
YN
Yang
Fen
F
Liu
Shuo
S
Pan
Xiang
X
Ma
Xiao-Mei
XM
Li
Zhen-Yan
ZY
Fu
Xiang
X
Xie
Ying-Ying
YY
Zheng
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry; D019540:Area Under Curve; D044466:Asian People / Q000706:statistics & numerical data; D050197:Atherosclerosis / Q000150:complications / Q000175:diagnosis; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000503:physiopathology; D008875:Middle Aged; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data; D012737:Sex Factors; D065927:Waist-Height Ratio