Figures & data
Table 1 Correlation of Neck Circumference with Anthropometric Parameters
Table 2 Correlation of Neck Circumference with Metabolic Variables
Table 3 Comparison of NC Between MetS Group and Non-MetS Group
Figure 1 Receiver operating characteristic (ROC) curves of neck circumference for identifying metabolic syndrome in Males and Females. The areas under the ROC curves (AUCs) were calculated to evaluate the predictive values of NC for MetS. The AUCs of NC were 0.701 (95% confidence interval [CI], 0.643–0.760) for males and 0.707 (95% CI, 0.641–0.773) for females. Youden index was calculated and NC ≥ 37.3 cm (sensitivity 0.662, specificity 0.649) for males and NC ≥ 35.8 cm (sensitivity 0.59, specificity 0.67) for females was considered as the best cutoff values in identifying MetS.
![Figure 1 Receiver operating characteristic (ROC) curves of neck circumference for identifying metabolic syndrome in Males and Females. The areas under the ROC curves (AUCs) were calculated to evaluate the predictive values of NC for MetS. The AUCs of NC were 0.701 (95% confidence interval [CI], 0.643–0.760) for males and 0.707 (95% CI, 0.641–0.773) for females. Youden index was calculated and NC ≥ 37.3 cm (sensitivity 0.662, specificity 0.649) for males and NC ≥ 35.8 cm (sensitivity 0.59, specificity 0.67) for females was considered as the best cutoff values in identifying MetS.](/cms/asset/d1f5c894-0469-4471-9130-803d8efc2a59/dmso_a_379221_f0001_c.jpg)
Table 4 Identification Rate of MetS Components by NC and WC*