Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the US population
- Title
- Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the US population
- Author
- 신현구
- Issue Date
- 2021-01
- Publisher
- NATURE RESEARCH
- Citation
- SCIENTIFIC REPORTS, v. 11, NO 1, article no. 2366, Page. 1-9
- Abstract
- This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999–2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings.
- URI
- https://www.nature.com/articles/s41598-021-82053-2https://repository.hanyang.ac.kr/handle/20.500.11754/175232
- ISSN
- 2045-2322
- DOI
- 10.1038/s41598-021-82053-2
- Appears in Collections:
- COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
- Files in This Item:
- Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population.pdfDownload
- Export
- RIS (EndNote)
- XLS (Excel)
- XML