Composite BMI and Waist-to-Height Ratio Index for Risk Assessment of Non-alcoholic Fatty Liver Disease in Adult Populations

Background: As obesity becomes more prevalent, non-alcoholic fatty liver disease (NAFLD) is also becoming a major worldwide health problem and the most common cause of chronic disease. A new classification method based on composite index which includes both body mass (BMI) waist-to-height ratio (WHtR) was recently proposed. However, usefulness this approach to assess risk NAFLD unclear. Methods: This cross-sectional study 1,276 adult individuals in Dalian, China. The Mann Whitney U test, χ2 test t-test were used compare differences between groups. Binary logistic regression analysis identify independent factors. Based BMI WHtR tertiles, divided into five Spearman correlation receiver operating characteristic curve (ROC) analyses performed factors among groups alone, or combination indexes. Results: BMI, waistline circumference (WC), WHtR, alanine aminotransferase (ALT), weight, triglycerides (TG), γ-glutamyl transpeptidase (GGT), serum uric acid (SUA), red blood cell (RBC) counts, hemoglobin levels (HGB), fasting glucose (FBG) aspartate (AST) identified as high for (all AUC > 0.7). Logistic suggested that predictors appearance (the ORs 1.595 4.060E-11, respectively; all P < 0.001). tertiles significantly improved coefficient Area under (AUC) subjects classified overweight obese when compared with either alone. Conclusions: WC, ALT, TG, GGT, SUA, RBC, HGB, FBG, AST NAFLD. fat ability detect risk, offering precise early identification high- low-risk patients.