Key result
Lipid accumulation product (LAP) demonstrated the highest predictive ability for metabolic syndrome among eight obesity- and lipid-related indicators, with an AUC of 0.893.
Why the study?
Metabolic syndrome increases cardiovascular and renal risks, and different obesity- and lipid-related indices have varying predictive abilities for its detection.
Do obesity- and lipid-related indicators, specifically lipid accumulation product (LAP), accurately predict metabolic syndrome in relatively healthy Chinese adults?
Population
1,452 relatively healthy people in Beijing enrolled in 2016
Comparison
Eight obesity- and lipid-related indicators evaluated for MetS prediction
Design
Cross-sectional study
Authors
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LAP may aid metabolic syndrome identification in observational cohorts; leaves open prospective validation and outcome impact.
Cross-Sectional (n=1,452)
No
Do obesity- and lipid-related indicators, specifically lipid accumulation product (LAP), accurately predict metabolic syndrome in relatively healthy Chinese adults?
Effect estimate: AUC 0.893 (95% CI 0.874-0.912)
p-value: p=<0.001
Lipid accumulation product (LAP) is a simple and highly accurate screening tool for predicting metabolic syndrome in relatively healthy Chinese adults, outperforming traditional anthropometric measures like BMI.
Duan et al. (2022) conducted a cross-sectional in Metabolic syndrome (n=1,452). Lipid accumulation product (LAP) vs. Other obesity- and lipid-related indicators (BMI, BRI, CVAI, BAI, AVI, TYG, VAI) was evaluated on Predictive ability for metabolic syndrome (Area Under the Curve) (AUC 0.893, 95% CI 0.874-0.912, p=<0.001). Lipid accumulation product (LAP) demonstrated the highest predictive ability for metabolic syndrome among eight obesity- and lipid-related indicators, with an AUC of 0.893.
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