OBJECTIVES: To evaluate whether neck circumference (NC) could be used as a valid and effective method for identifying @entity28 and @entity2690 resistance (IR) in Chinese adults. METHODS: A total of 3307 adults aged 20-65 years were randomly recruited from two communities of Tongzhou, Beijing. Height, weight, waist circumference (WC), hip circumference (HC), neck circumference (NC), blood pressure, fasting plasma @entity413 (FPG), fasting serum @entity2690 (FINS), total @entity165 (TC), serum @entity412 (TG), High-density lipoprotein @entity165 (HDL-C), low-density lipoprotein @entity165 (LDL-C) and Urinary albumin (UAlb) were measured. Pearson correlation coefficient was used to explore the relationship between NC and other measurements. Furthermore, the best cutoff values of NC for @entity1144 identification were determined by applying the receiver operating characteristic (ROC) curve analysis. RESULTS: NC correlated positively with BMI, @entity13519 and WC In both sexes. Both WC and NC correlated significantly positively with IR. A positive correlation between NC and FPG as well as a negative correlation between NC and HDL were found in obese @entity1 . NC>= 38.5 cm for @entity1 and >= 34.5 cm for @entity1 were determined to be the best cutoff levels for identifying subjects with @entity1144 , with 82.9% accuracy for @entity1 and 79.9% accuracy for @entity1 . CONCLUSIONS: NC correlated positively with BMI and WC in both genders, indicating that NC could be used as a valid marker for both overall @entity28 and @entity1144 . In addition, measuring NC was shown to be a useful test for IR identification. Large number of NC is suggested to be associated with high risk of developing @entity209 , such as @entity6 and @entity2299 .

Evaluation of neck circumference as a predictor of @entity1144 and XXXX resistance in Chinese adults.

@entity1 :: ('9606', 'Species') :: ['women', 'men'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity2299 :: ('MESH:D050171', 'Disease') :: ['dyslipidemia'] @entity2690 :: ('3630', 'Gene') :: ['insulin'] @entity13519 :: ('8991', 'Gene') :: ['SBP'] @entity1144 :: ('MESH:D056128', 'Disease') :: ['central obesity'] @entity412 :: ('CHEBI:17855', 'Chemical') :: ['triglyceride'] @entity209 :: ('MESH:D008659', 'Disease') :: ['metabolic disorders'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol']
@entity2690 :: (3630,Gene) :: ['insulin']
