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Eur. J. Clin. Invest. · Jun 2012
Neck circumference as a novel parameter to determine metabolic risk factors in obese children.
- Selim Kurtoglu, Nihal Hatipoglu, M Mümtaz Mazicioglu, and Meda Kondolot.
- Department of Pediatric Endocrinology, Erciyes University Faculty of Medicine, Kayseri, Turkey.
- Eur. J. Clin. Invest. 2012 Jun 1; 42 (6): 623-30.
BackgroundTo establish the association between neck circumference and cardiometabolic risk factors and to determine the utility of the neck circumference as a parameter in predicting children at cardiometabolic risk.Materials And MethodsFive - hundred and eighty-one children (461: overweight/obese, 120: normal body mass index) aged between 5 and 18 years were enrolled. Neck circumference, waist circumference, blood pressure and fasting plasma glucose, insulin, total cholesterol, triglyceride and high-density lipoprotein (HDL) cholesterol were recorded, and the homeostasis model assessment for insulin resistance score was calculated.ResultsNeck circumference was negatively correlated with HDL cholesterol and positively correlated with all other parameters, with the exception of fasting plasma glucose in pubertal boys and girls and total cholesterol in pubertal girls. Linear regression analysis by designating neck circumference as a dependent variable revealed that insulin and TG levels in prepubertal boys and blood pressure and TG levels in pubertal boys were positively correlated with neck circumference. We found that diastolic blood pressure and insulin were positively correlated, while HDL levels were negatively correlated with neck circumference in prepubertal girls. Systolic blood pressure and insulin were positively correlated with neck circumference in pubertal girls. The cut-off value for neck circumference, as an indicator for metabolic syndrome (MS), was calculated as 36 cm in boys and 35 cm in girls.ConclusionsNeck circumference measurement was shown to be associated with cardiometabolic risk factors in children. We suggest the use of neck circumference as a novel, simple, practical and reliable anthropometric index in predicting children at risk for cardiometabolic diseases.© 2011 The Authors. European Journal of Clinical Investigation © 2011 Stichting European Society for Clinical Investigation Journal Foundation.
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