Lipid Accumulation Product: An Effective Obesity Index to Predict Metabolic Syndrome

Abstract

Background: Obesity is a significant risk factor in the development of metabolic syndrome (MetS). Lipid Accumulation Product (LAP) is an obesity index and has been proposed to be a predictor of metabolic syndrome. The present study aims to see the effectiveness of Lipid Accumulation Product as an obesity index to predict metabolic syndrome in a Bangladeshi population. Methods: This cross-sectional study was conducted in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, between March 2016 and February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, attending out-patient-departments of the same institution. Anthropometric measurements were recorded, which included their height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose and lipid profile. Then LAP was calculated and evaluated as a tool in prediction of MetS in the study subjects. Receiver operating characteristic (ROC) curves were plotted to assess the performance of LAP in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals. Results: Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NVP) of LAP in predicting MetS were 70.45%, 78.57%, 72.09% and 77.19% in male study subjects and 20.45%, 96.43%, 81.82% and 60.67% in female subjects respectively. ROC curve analysis showed that the optimal cutoff value of LAP in male study subjects was 40.72, while area under the curve was 0.92; in female study subjects, the values were 51.69 and 0.91 respectively (P<0.001). Conclusion: Lipid Accumulation Product was found simple, accessible and effective obesity index to predict metabolic syndrome in apparently healthy adults. J Bangladesh Coll Phys Surg 2022; 40: 5-9

Visceral Adiposity Index: An Effective Tool for Predicting Metabolic Syndrome in Bangladeshi Adult Population

“…It may be mentioned that similar studies were done in the same hospital setting to predict metabolic syndrome using 'lipid accumulation product' and 'triglycerides and glucose index', which showed that people having normal weights could be metabolically obese and are at risk of diabetes mellitus or cardiovascular diseases or other related complications. 19,20 Our present study reinforces that individuals should be assessed early and periodically and by using VAI, clinicians can detect metabolic syndrome in a simple way, counsel their patients to consider lifestyle interventions, and thereby prevent a significant amount of morbidity and mortality.…”

Prevalence of metabolic syndrome, its continuous severity score, and correlated cardiovascular risk among postmenopausal women of a selected rural area of Bangladesh

“…11 LAP is a by-product of WC and TG that was calculated using the formula (WC [cm] − 58) × (TG [mM]). The rationale to use LAP is that it simultaneously predicts obesity 12 , insulin resistance 13 and MetS itself. 14 1).…”

Sex-Specific Cut-Offs of Seven Adiposity Indicators and Their Performance in Predicting Metabolic Syndrome in Arab Adults

“…Recently introduced by Amato et al [19] and Kahn et al [20], the VAI and LAP are strong and useful indicators for measuring visceral obesity and body fat distribution. Several studies have been performed among various populations, including Korean, Indian and Bangladeshi populations, demonstrating that the LAP and VAI are effective markers for different obesity phenotypes and strong predictors of MetS [21][22][23]. Like the VAI, the DAI was also developed as a surrogate marker of dysfunctional adiposity [24].…”