Role of newly designed anthropometric parameters in assessment of gonadotropic hormones and lipid fractions in females

Abstract

This study investigated the predictive capabilities of newly designed anthropometric indices (Body Shape Index [ABSI], Body Roundness Index [BRI], and Visceral Adiposity Index [VAI]) for identifying abnormal levels of gonadotropic hormones (Follicle Stimulating Hormone [FSH] and Luteinizing Hormone [LH]) and abnormal lipid profiles in 289 females residing in the Lahore area. FSH and LH levels were measured using commercially available kits employing the chemiluminescent microparticle immunoassay (CMIA). The lipid profile (i.e., Total cholesterol [TC], Triglyceride [TG], and High-density lipoprotein cholesterol [HDL-C]) was assessed using the colorimetric method, while Low-Density Lipoprotein Cholesterol (LDL-C) was calculated mathematically. Standardized formulas were used to calculate the anthropometric indices (ABSI, BRI, and VAI) based on weight (kg), height (m), and waist circumference (cm). The results revealed that low HDL-C levels constituted the most common lipid abnormality within the studied population. The trends of ABSI, BRI, and VAI did not exhibit significant differences between FSH and LH-based groups. Additionally, non-significant results and receiver operating characteristic (ROC) curve analysis confirmed weak predictive capabilities for identifying abnormal FSH and LH levels. This study concludes that ABSI, BRI, and VAI are not strong predictors of abnormal gonadotropic hormone levels.