[The best waist circumference cut-point for identifying cardiovascular risk factors among adolescents: a preliminary study].
OBJECTIVE
To explore the best waist circumference (WC) cut-point for identifying cardiovascular risk factors among adolescents.


METHODS
Human basic parameters were measured among 3986 adolescents aged 14 - 18 in Qinhuangdao. Receiver operator characteristic curve (ROC) analysis was employed to determine the optimal WC cut-point for detecting cardiovascular risk factors.


RESULTS
The prevalence of the clustering of cardiovascular risk factors significantly increased after the WC was >or= 80th percentiles (77.0 - 79.0 cm for the boys and 70.0 - 72.5 cm for the girls). The age standardization detection rate was 24.9% in boys and 9.9% in girls. ROC analysis showed that the optimal WC cut-point was 80th percentiles, with the sensitivity of 84.3% and specificity of 85.9% in boys, and with sensitivity of 90.7% and specificity of 83.2% in girls.


CONCLUSIONS
There is a significant correlation between WC and cardiovascular risk factors. The optimal WC cut-point for predicting the clustering of cardiovascular risk factors is the 80th percentile.
Yin
Fu-Zai
FZ
Department of Endocrinology, First Hospital of Qinhuangdao, Hebei Province, Qinhuangdao 066000, China. yfz2004747@sina.com
Lu
Qiang
Q
Ma
Chun-Ming
CM
Liu
Bo-Wei
BW
Lou
Dong-Hui
DH
Wang
Rui
R
Han
Gai-Ling
GL
Wu
Guang-Fei
GF
Shen
Yi
Y
Liu
Bo
B
Qin
Chun-Mei
CM
D050153:Abdominal Fat; D000293:Adolescent; D001786:Blood Glucose; D015992:Body Mass Index; D001835:Body Weight; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology; D009765:Obesity / Q000453:epidemiology; D012372:ROC Curve; D012307:Risk Factors; D055105:Waist Circumference; D049629:Waist-Hip Ratio
D001786:Blood Glucose