Combined effect of adult neck circumference and waist circumference on diabetes mellitus
Objective To explore the current situation of neck circumference(NC)and its relationship with diabetes among adults,and to analyze the combined effect of NC and waist circumference(WC)on risk of diabetes.Methods According to the Chinese adult chronic disease and nutrition surveillance program,a total of 4 136 inhabitants aged 18 and above were enrolled from Hexi,Nankai,Hongqiao,Wuqing,Jinnan,Baodi and Jizhou district of Tianjin.Except for measuring NC and WC,venous blood was collected to detect fasting blood glucose,glycosylated hemoglobin and blood glucose after taking sugar for 2 h.Those whose male adult NC<37 cm or female adult NC<33 cm were divided into NC1 group and the rest were NC2 group.Investigate the distribution of NC and the prevalence of diabetes in different NC groups.Divide the surveyed population into three groups with WC:normal,pre-central obesity and central obesity,on this basis,analyze the combined effect with NC on the prevalence rate and diabetes risk.Results The average NC of the investigated population in Tianjin was 36.3 cm,which was higher in males than in females,and was positively correlated with age(β=0.271,t=3.452,P=0.001).The prevalence rate of diabetes in NC2 group was 27.7%,which was significantly higher than that in NC1 group(17.9%).In WC normal group and central obesity group,the prevalence rate of diabetes in NC2 group was significantly higher than that in NC1 group.The multivariate logistic regression showed that compared with normal WC+NC1 group,the risk of diabetes increased with the increase of WC and NC,and the central obesity+NC2 group had the highest risk of diabetes(OR=2.939,95%CI:2.227-3.880,P<0.001).Conclusions The prevalence rate of diabetes is high among higher NC people(large neck circumference)in Tianjin adults,and the combined effect of WC and NC on the risk of diabetes is strong.In the future,it is necessary to further study the biological mechanism of NC anddiabetes,so that it can be applied to large population screening to achieve the effect of early detection and control of diabetes.