Atherogenic index of plasma (AIP), an effective novel index to predict abnormal weight in Youth: A Propensity score matching data analysis

Abstract

Abstract Background: Obesity is closely related to dyslipidemia. Atherogenic index of plasma (AIP) is a novel index evolved from two traditional lipid indexes. However, the relevance of AIP to obesity remains unclear. Our study aims to explore the relationship between AIP and obesity, and the predictive power of AIP compared with other traditional lipid indicators. Methods: This study was a case-control study with propensity matching. A total of 13,082 adults under the age of 30 were included, of whom 8,366 were of normal weight, 3,340 were overweight and 1,376 were considered obese. Results: After propensity matching, we found that compared to subjects in the normal weight group, subjects with abnormal weight had higher body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), hemoglobin (Hb), platelets (PLT), white blood cells (WBC), alanine transaminase (ALT), aspartate transaminase (AST), total cholesterol (TC), creatinine (Cr), fasting blood glucose (FBG), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), AIP, Non-HDL-C, TC/HDL-C, LDL-C/HDL-C, atherogenic index (AI), lipoprotein combined index (LCI) and low high-density lipoprotein cholesterol (HDL-C), total bilirubin (TBIL) (P<0.001). AIP was positively and linearly correlated with BMI. Compared with conventional lipid indexes such as TG (odds ratio [OR]=1.22), HDL-C (OR=0.34) and LDL-C (OR=1.1) and new lipid indexes such as LDL-C/HDL-C (OR=1.64), Non-HDL-C (OR=1.14), TC/HDL-C (OR=1.47), AI (OR=1.47) and LCI (OR=1.03), AIP had the highest OR value (OR=3.34). As a result, AIP has a tighter correlation with obesity and better predictive value than other lipid indicators.Multivariate logistics regression shows, for every 1mmol/L increase in AIP, the risk of abnormal weight increased 3.34 times. Those with an AIP greater than 0 had a 1.86-fold increased risk of abnormal weight compared to those with an AIP less than 0. After matching AIP with obesity propensity, AIP still had good predictive power. Conclusions: In the youth population, AIP does have a good ability to predict obesity. AIP can be used as a lipid index to screen for obesity.