Anthropometric indices and their predictive ability on metabolic syndrome in west China

To evaluate the relationship between anthropometric indices, including abdominal volume index (AVI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index (C index), body mass index (BMI), body roundness index (BRI), body adiposity index (BAI), A body shape index (ABSI) and cardiovascular risk factors, and their abilities to predict metabolic syndrome (MetS) in adults. A cross-sectional study of 76,915 participants (30,912 females and 46,003 males) aged between 14 and 100 years was conducted. AVI, WHR, WHtR, BMI, conicity index (C index), BRI, BAI, and ABSI were measured and calculated. Pearson correlation analysis and linear regression analysis were used to examine the relationship between anthropometric indicators and the components of MetS, while binary logistic regression analysis was used to assess the relationship between anthropometric indicators and overall MetS. The receiver operating characteristic curve (ROC) was used to analyze and calculate the area under the curve (AUC). Then, a 95% confidence interval (95% CI) was calculated to evaluate the ability of anthropometric indicators to predict MetS and determine the optimal cutoff value of each anthropometric indicator. The optimal cutoff value was determined by the Youden index. MetS prevalence was 21.71% in males and 9.5% in females. Participants with MetS were older and had higher values of glucose, triglyceride, low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), systolic blood pressure (SBP), diastolic blood pressure (DBP) than those without MetS. The high-density lipoprotein cholesterol (HDL-C) values of males and females with MetS were lower than the values found in those without MetS. Mean values of all anthropometric indicators in men and women with MetS were significantly higher than the mean values in those without MetS. After adjusting for age, alcohol consumption, and smoking, anthropometric indexes AVI, WHR, WHtR, C index, BMI, and BRI were all associated with cardiovascular risk factors (p < 0.001). Among men over the age 60 years old, an AVI cutoff of 16.0 predicted MetS with a sensitivity of 74.70% and a specificity of 84.90%. The area under the ROC curve was 0.84 (p < 0.001). Among women over the age of 60 years, an AVI cutoff of 12.8 predicted MetS with a sensitivity of 90.13% and a specificity of 63.72%. The area under the ROC curve was 0.80 (p < 0.001). Among men aged 30–60 years, an AVI cutoff of 16 predicted MetS with a sensitivity of 80.44% and a specificity of 82.36%. The area under the ROC curve was 0.85 (p < 0.001). Among women aged 30–60 years, an AVI cutoff of 12.82 predicted MetS with a sensitivity of 87.72% and a specificity of 83.47%. The area under the ROC curve was 0.90 (p < 0.001). Among men under the age of 30 years, an AVI cutoff of 16.22 predicted MetS with a sensitivity of 87.97% and a specificity of 88.65%. The area under the ROC curve was 0.92 (p < 0.001). Among women under the age of 30 years, an AVI cutoff of 12.79 predicted MetS with a sensitivity of 95.92% and a specificity of 93.79%. The area under the ROC curve was 0.97 (p < 0.001). AVI showed the strongest ability to distinguish MetS across genders and different age groups. AVI, WHR, WHtR, BMI, C index, and BRI were all associated with cardiovascular risk factors. The anthropometric index is a useful screening tool for MS, its components, and cardiovascular risk factors. Among all the indices examined, AVI can best distinguish MetS.