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Research
Association Between Triglyceride Glucose Index and Risk of New-onset Diabetes Among Chinese Adults: Findings From the China Health and Retirement Longitudinal Study
Feng Yingqing
Guangdong Cardiovascular Institute
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Background
The triglyceride glucose (TyG) index has been proposed to be a simple surrogate of insulin resistance. We aimed to examine the relationship between TyG index and risk of incident diabetes in middle-age and elderly adults in China.
Methods
Nationally representative data from the China Health and Retirement Longitudinal Study 2011-2015 were used. Sociodemographic, medical, anthropometric, and laboratory information were collected following a standard protocol. Cox proportional hazards models and restricted cubic spline regression were performed to estimate hazard ratio (HR) with 95% confidence interval (CI) of diabetes for TyG index. Subgroup analyses were also conducted to examine potential interactions.
Results
Of 7428 participants without at baseline diabetes, 791 (10.6%) participants developed diabetes over 3.4 years of follow-up. The multivariate HR for every SD increase in TyG index was 1.22 (95% CI, 1.14-1.31). When dividing TyG index into quartiles, the multivariate HRs for new-onset diabetes were 1.22 (0.96-1.54) for Q2, 1.61 (1.28-2.01) for Q3, and 1.73 (1.38-2.16) for Q4 (P for trend < 0.001) compared with Q1. The restricted cubic spline regression confirmed a linear association. No interaction was found between subgroup variables and association of TyG index with risk of diabetes.
Conclusion
TyG index was significantly and positively associated with risk of new-onset diabetes in middle-aged and elderly adults. TyG index may be a useful predictive marker for predicting new-onset diabetes.
Keywords
Triglyceride glucose index, Diabetes mellitus, Association, CHARLS
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This is a preprint. It has not completed peer review.
Research
Association Between Triglyceride Glucose Index and Risk of New-onset Diabetes Among Chinese Adults: Findings From the China Health and Retirement Longitudinal Study
Feng Yingqing
Guangdong Cardiovascular Institute
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 23 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
The triglyceride glucose (TyG) index has been proposed to be a simple surrogate of insulin resistance. We aimed to examine the relationship between TyG index and risk of incident diabetes in middle-age and elderly adults in China.
Methods
Nationally representative data from the China Health and Retirement Longitudinal Study 2011-2015 were used. Sociodemographic, medical, anthropometric, and laboratory information were collected following a standard protocol. Cox proportional hazards models and restricted cubic spline regression were performed to estimate hazard ratio (HR) with 95% confidence interval (CI) of diabetes for TyG index. Subgroup analyses were also conducted to examine potential interactions.
Results
Of 7428 participants without at baseline diabetes, 791 (10.6%) participants developed diabetes over 3.4 years of follow-up. The multivariate HR for every SD increase in TyG index was 1.22 (95% CI, 1.14-1.31). When dividing TyG index into quartiles, the multivariate HRs for new-onset diabetes were 1.22 (0.96-1.54) for Q2, 1.61 (1.28-2.01) for Q3, and 1.73 (1.38-2.16) for Q4 (P for trend < 0.001) compared with Q1. The restricted cubic spline regression confirmed a linear association. No interaction was found between subgroup variables and association of TyG index with risk of diabetes.
Conclusion
TyG index was significantly and positively associated with risk of new-onset diabetes in middle-aged and elderly adults. TyG index may be a useful predictive marker for predicting new-onset diabetes.
Figure 1
Figure 2