Fatemeh Bidmeshki - MD, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Narjes Hazar - MD, Community Medicine Specialist, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Masoud Mirzaei - MD, PhD, Yazd Cardiovascular Research center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Masoud Rahmanian - MD Specialist of Endocrinology and Metabolism, Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Objective: Obesity is a major public health concern and there are different ways to detect it in population. The aim of the present study is to evaluate the neck circumference (NC) in a simple and practical way. Materials and Methods: This cross-sectional survey utilized data from the Yazd Health Study (YaHS) which is a population-based cohort study. In brief, ۹۹۶۲ individuals aged ۲۰-۷۰ years with measurement of body weight, height, waist circumference (WC) and NC were available for analysis. To determine the relationship between NC and other anthropometric measurement, we utilized of Pearson's correlation coefficient. Receiver operator characteristic (ROC) curve analysis was used to find out an optimal cut off value for detecting general and central obesity as well as to determine the sensitivity and specificity of NC in predicting general and central obesity. The whole analysis was performed using SPSS version ۲۲. Results: NC correlated positively with body mass index (BMI) (r= ۰.۶۰۸, P< ۰.۰۰۱ in men and r= ۰.۵۴۱, P< ۰.۰۰۱ in women) and WC (r= ۰.۶۶۲, P< ۰.۰۰۱ in men and r= ۰.۵۴۲, P< ۰.۰۰۱ in women). The best cut-off point for NC to determine people with general obesity was ۴۰.۲۵ cm for men and ۳۵.۷۵ cm for women. Conclusion: The NC has an acceptable correlation with BMI and WC. In addition, NC is a simple free measurement which may be utilized in various health-care settings. These properties make the NC as the best anthropometrics to determine overweight and obesity and it can be used as an appropriate predictor for overweight and obesity in population-based screening programs.

Neck circumference, Overweight, Obesity, Area under curve