Neck circumference as a predictor of metabolic syndrome, insulin resistance and low-grade systemic inflammation in children: the ACFIES study

Background The current study aims to evaluate the association between neck circumference (NC) and several cardio-metabolic risk factors, to compare it with well-established anthropometric indices, and to determine the cut-off point value of NC for predicting children at increased risk of metabolic syndrome, insulin resistance and low-grade systemic inflammation. Methods A total of 669 school children, aged 8–14, were recruited. Demographic, clinical, anthropometric and biochemical data from all patients were collected. Correlations between cardio-metabolic risk factors and NC and other anthropometric variables were evaluated using the Spearman’s correlation coefficient. Multiple linear regression analysis was applied to further examine these associations. We then determined by receiver operating characteristic (ROC) analyses the optimal cut-off for NC for identifying children with elevated cardio-metabolic risk. Results NC was positively associated with fasting plasma glucose and triglycerides ( p = 0.001 for all), and systolic and diastolic blood pressure, C-reactive protein, insulin and HOMA-IR ( p < 0.001 for all), and negatively with HDL-C ( p = 0.001). Whereas, other anthropometric indices were associated with fewer risk factors. Conclusions NC could be used as clinically relevant and easy to implement indicator of cardio-metabolic risk in children.