Key result
Derived lipid indicators LAP and CVAI identify metabolic syndrome with a high ~0.90 AUC.
Why the study?
Metabolic syndrome is a significant public health concern among middle-aged and elderly Chinese populations, prompting evaluation of the predictive value of four derived lipid indicators.
Do derived lipid indicators (LAP, VAI, TyG, CVAI) accurately predict metabolic syndrome in Chinese adults aged ≥ 45 years?
Cross-Sectional
Yes
Do derived lipid indicators (LAP, VAI, TyG, CVAI) accurately predict metabolic syndrome in Chinese adults aged ≥ 45 years?
Effect estimate: AUC 0.903
Derived lipid indicators, particularly LAP and TyG, demonstrate high predictive accuracy for metabolic syndrome in middle-aged and elderly Chinese populations, supporting their use in clinical screening.
Metabolic syndrome (MetS) is a significant public health concern among middle-aged and elderly populations in China. This study evaluates the predictive value of four derived lipid indicators-lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose (TyG) index, and Chinese visceral adiposity index (CVAI) for MetS in Chinese adults aged ≥ 45 years. Data were sourced from the 2015 China Health and Retirement Longitudinal Study (CHARLS). Participants were classified according to the International Diabetes Federation (IDF), National Cholesterol Education Program (NCEP ATP III, 2001), and China's 2020 Guidelines for Type 2 Diabetes Prevention and Treatment. Multivariate logistic regression and ROC curve analyses assessed the predictive performance of these indicators. Results demonstrated that LAP and CVAI showed the highest predictive accuracy for MetS under the IDF criteria (AUC = 0.903), while LAP and TyG were most effective under the NCEP ATP III and China 2020 guidelines (AUC = 0.860). Subgroup analyses revealed sex- and age-specific variations in indicator effectiveness. This study suggests that derived indicators, particularly LAP and TyG, enhance the screening and management of MetS in middle-aged and elderly Chinese populations. These findings support the adoption of LAP and TyG in clinical practice to improve early detection and targeted intervention strategies.
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Zhou et al. (2025) conducted a cross-sectional in Metabolic syndrome (MetS). Derived lipid indicators (LAP, VAI, TyG, CVAI) was evaluated on Predictive accuracy for MetS under IDF criteria (AUC 0.903). Derived lipid indicators, particularly LAP and CVAI, demonstrated high predictive accuracy for metabolic syndrome under IDF criteria (AUC = 0.903) in Chinese adults aged ≥ 45 years.
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