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Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study
by
He, Linfeng
, Li, Zeyu
, Zheng, Wenbin
, Kong, Wen
, Zeng, Tianshu
in
Adult
/ Biomedical and Life Sciences
/ Blood Glucose
/ Body mass index
/ Cardiovascular disease
/ Clinical Nutrition
/ Cohort analysis
/ Cohort Studies
/ Demographic aspects
/ Development and progression
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - epidemiology
/ East Asian People
/ Family medical history
/ Health aspects
/ High density lipoprotein
/ Humans
/ Hyperglycemia
/ Life Sciences
/ Lipid metabolism
/ Lipid ratio
/ Lipidology
/ Lipids
/ Males
/ Medical Biochemistry
/ Metabolic disorders
/ Population
/ Population studies
/ Population-based studies
/ Prediction
/ Risk Factors
/ ROC Curve
/ Sensitivity analysis
/ Triglyceride glucose index
/ Triglycerides
/ Type 2 diabetes
2023
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Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study
by
He, Linfeng
, Li, Zeyu
, Zheng, Wenbin
, Kong, Wen
, Zeng, Tianshu
in
Adult
/ Biomedical and Life Sciences
/ Blood Glucose
/ Body mass index
/ Cardiovascular disease
/ Clinical Nutrition
/ Cohort analysis
/ Cohort Studies
/ Demographic aspects
/ Development and progression
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - epidemiology
/ East Asian People
/ Family medical history
/ Health aspects
/ High density lipoprotein
/ Humans
/ Hyperglycemia
/ Life Sciences
/ Lipid metabolism
/ Lipid ratio
/ Lipidology
/ Lipids
/ Males
/ Medical Biochemistry
/ Metabolic disorders
/ Population
/ Population studies
/ Population-based studies
/ Prediction
/ Risk Factors
/ ROC Curve
/ Sensitivity analysis
/ Triglyceride glucose index
/ Triglycerides
/ Type 2 diabetes
2023
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Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study
by
He, Linfeng
, Li, Zeyu
, Zheng, Wenbin
, Kong, Wen
, Zeng, Tianshu
in
Adult
/ Biomedical and Life Sciences
/ Blood Glucose
/ Body mass index
/ Cardiovascular disease
/ Clinical Nutrition
/ Cohort analysis
/ Cohort Studies
/ Demographic aspects
/ Development and progression
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - epidemiology
/ East Asian People
/ Family medical history
/ Health aspects
/ High density lipoprotein
/ Humans
/ Hyperglycemia
/ Life Sciences
/ Lipid metabolism
/ Lipid ratio
/ Lipidology
/ Lipids
/ Males
/ Medical Biochemistry
/ Metabolic disorders
/ Population
/ Population studies
/ Population-based studies
/ Prediction
/ Risk Factors
/ ROC Curve
/ Sensitivity analysis
/ Triglyceride glucose index
/ Triglycerides
/ Type 2 diabetes
2023
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Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study
Journal Article
Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study
2023
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Overview
Background
Studies have reported that lipid-derived indicators are associated with type 2 diabetes (T2D) in various populations; however, it is unclear which lipid-derived indicators could effectively predict T2D risk. Therefore, this study aimed to explore the association between four lipid-derived indicators and T2D risk.
Methods
This was a post-hoc analysis from a large cohort that included data from 114,700 Chinese individuals aged 20 years and older from 11 cities and 32 sites. The association between four lipid-derived indicators and T2D risk was determined using Kaplan-Meier (KM) survival curves, Cox regression, and restricted cubic spline analyses. This study used receiver operating characteristic (ROC) curves for assessing the ability of four lipid-derived indicators to accurately predict the development of T2D during follow-up.
Results
This study included a total of 114,700 participants, with a mean age of 44.15. These individuals were followed up for 3.1 years, of which 2668 participants developed T2D. ROC curve analysis showed that TyG was the most robust predictor of 3-year [aera under the ROC (AUC) = 0.77, 95% CI: 0.768, 0.772] and 5-year T2D risk (AUC = 0.763, 95% CI: 0.760, 0.765). In addition, sensitivity analysis showed an association between TyG and an increased incidence of T2D.
Conclusions
The results suggest that TyG was a superior for predicting the risk of developing T2D in the general Chinese population.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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