Association of Non-Insulin-Based Insulin Resistance Indices with Risk of Incident Prediabetes and Diabetes in a Chinese Rural Population: A 12-Year Prospective Study

Objective Three non-insulin-based insulin resistance (IR) indices, ie, triglyceride-glucose (TyG) index, triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for IR (METS-IR), were considered powerful and simplified alternatives for IR. However, evidence for the association between the three IR indices and incident type 2 diabetes mellitus (T2DM), especially impaired fasting glucose (IFG), remains limited. Therefore, this study aimed to explore the association among IR indices, incident IFG, and T2DM in a rural population cohort. Methods We analyzed data from 2209 adults (aged 24–75 years) at baseline and from 1205 normoglycemic participants who were followed up. Cox proportional hazards models were used to evaluate the associations between the three indices and IFG or T2DM. Restricted cubic spline curves based on the Cox regression model were used to examine the association between baseline indices and incident T2DM. Results For the baseline data, logistic analyses demonstrated that the TyG index, TG/HDL-C ratio, and METS-IR had a significantly positive correlation with IFG or T2DM after multivariable adjustment. During a median follow-up of 12.17 years, 157 incident cases of IFG and 97 incident cases of T2DM were noted. The risk of T2DM, but not IFG, was strongly associated with the baseline TyG index in the adjusted model, and participants with the TyG index in the third tertile had a higher risk of developing T2DM (adjusted hazards ratio, 2.84; 95% confidence intervals, 1.26–6.37; p for trend <0.001) than those in the lowest tertile (reference). Moreover, a linear relationship was observed between the TyG index and T2DM incidence. The TG/HDL-C ratio and METS-IR had no significant relationship with the risk of IFG or T2DM. Conclusion The TyG index is more useful than the TG/HDL-C ratio and METS-IR in predicting T2DM in the normoglycemic population.

[1]  Xin Zhang,et al.  Correlation between non‐insulin‐based insulin resistance indexes and the risk of prehypertension: A cross‐sectional study , 2022, Journal of clinical hypertension.

[2]  Jianing Gu,et al.  Association Between METS-IR and Prehypertension or Hypertension Among Normoglycemia Subjects in Japan: A Retrospective Study , 2022, Frontiers in Endocrinology.

[3]  Jixiang Liu,et al.  Triglyceride to High-Density Lipoprotein Cholesterol (TG/HDL-C) Ratio, a Simple but Effective Indicator in Predicting Type 2 Diabetes Mellitus in Older Adults , 2022, Frontiers in Endocrinology.

[4]  Qidan Li,et al.  Associations of Triglycerides/High-Density Lipoprotein Cholesterol Ratio With Insulin Resistance, Impaired Glucose Tolerance, and Diabetes in American Adults at Different Vitamin D3 Levels , 2022, Frontiers in Endocrinology.

[5]  Linhong Wang,et al.  Prevalence and Treatment of Diabetes in China, 2013-2018. , 2021, JAMA.

[6]  Ying-jia Xu,et al.  Association Between the Triglyceride–Glucose Index and the Incidence of Diabetes in People With Different Phenotypes of Obesity: A Retrospective Study , 2021, Frontiers in Endocrinology.

[7]  Qing Zhu,et al.  Associations Between the Metabolic Score for Insulin Resistance Index and the Risk of Type 2 Diabetes Mellitus Among Non-Obese Adults: Insights from a Population-Based Cohort Study , 2021, International journal of general medicine.

[8]  Hee-Taik Kang,et al.  Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults , 2021, Cardiovascular Diabetology.

[9]  Yongjae Lee,et al.  The Metabolic Score for Insulin Resistance (METS-IR) as a Predictor of Incident Ischemic Heart Disease: A Longitudinal Study among Korean without Diabetes , 2021, Journal of personalized medicine.

[10]  J. Wen,et al.  Association of the Ratio of Triglycerides to High-Density Lipoprotein Cholesterol Levels with the Risk of Type 2 Diabetes: A Retrospective Cohort Study in Beijing , 2021, Journal of diabetes research.

[11]  Meizi Cui,et al.  Triglyceride–glucose index and the incidence of atherosclerotic cardiovascular diseases: a meta-analysis of cohort studies , 2021, Cardiovascular Diabetology.

[12]  Xiaomin Xie,et al.  Early Predictors in the Onset of Type 2 Diabetes at Different Fasting Blood Glucose Levels , 2021, Diabetes, metabolic syndrome and obesity : targets and therapy.

[13]  Yingfen Qin,et al.  U-shaped association between the triglyceride-glucose index and the risk of incident diabetes in people with normal glycemic level: A population-base longitudinal cohort study. , 2021, Clinical nutrition.

[14]  Ming Zhang,et al.  Association of metabolic score for insulin resistance and its 6‐year change with incident type 2 diabetes mellitus , 2021, Journal of diabetes.

[15]  Sen He,et al.  Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study , 2021, Endocrine.

[16]  Y. Weng,et al.  Association between Triglyceride-Glucose Index and Type 2 Diabetes Mellitus in the Japanese Population: A Secondary Analysis of a Retrospective Cohort Study , 2020, BioMed research international.

[17]  Ming Zhang,et al.  Association of TG/HDLC ratio trajectory and risk of type 2 diabetes: A retrospective cohort study in China , 2020, Journal of diabetes.

[18]  Xiuhua Guo,et al.  Incidence and risk factors of type 2 diabetes mellitus in individuals with different fasting plasma glucose levels , 2020, Therapeutic advances in endocrinology and metabolism.

[19]  Yongjae Lee,et al.  Triglyceride to HDL-cholesterol ratio and the incidence risk of type 2 diabetes in community dwelling adults: A longitudinal 12-year analysis of the Korean Genome and Epidemiology Study. , 2020, Diabetes research and clinical practice.

[20]  R. Malekzadeh,et al.  Impaired fasting glucose and major adverse cardiovascular events by hypertension and dyslipidemia status: the Golestan cohort study , 2020, BMC Cardiovascular Disorders.

[21]  Haofei Hu,et al.  Association of Triglyceride to high-density lipoprotein cholesterol ratio and incident of diabetes mellitus: a secondary retrospective analysis based on a Chinese cohort study , 2020, Lipids in Health and Disease.

[22]  N. Rachdaoui Insulin: The Friend and the Foe in the Development of Type 2 Diabetes Mellitus , 2020, International journal of molecular sciences.

[23]  X. Liu,et al.  Association between three non-insulin-based indexes of insulin resistance and hyperuricemia , 2019, Clinical Rheumatology.

[24]  Ming Zhang,et al.  Dose–response association between the triglycerides: High‐density lipoprotein cholesterol ratio and type 2 diabetes mellitus risk: The rural Chinese cohort study and meta‐analysis , 2018, Journal of diabetes.

[25]  Hyun-Young Park,et al.  The product of fasting plasma glucose and triglycerides improves risk prediction of type 2 diabetes in middle-aged Koreans , 2018, BMC Endocrine Disorders.

[26]  Omar Yaxmehen Bello-Chavolla,et al.  METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. , 2018, European journal of endocrinology.

[27]  Jianjun Zhang,et al.  Associations between serum adipocytokines and glycemic tolerance biomarkers in a rural Chinese population , 2017, PloS one.

[28]  Jian-Min Yuan,et al.  Association between the ratio of triglyceride to high‐density lipoprotein cholesterol and incident type 2 diabetes in Singapore Chinese men and women , 2017, Journal of diabetes.

[29]  Ming Zhang,et al.  Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study , 2017, Cardiovascular Diabetology.

[30]  J. Martínez,et al.  Triglyceride-glucose index (TyG index) in comparison with fasting plasma glucose improved diabetes prediction in patients with normal fasting glucose: The Vascular-Metabolic CUN cohort. , 2016, Preventive medicine.

[31]  M. Janghorbani,et al.  The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction , 2015, Acta Diabetologica.

[32]  H. Kwon,et al.  Predicting the Development of Diabetes Using the Product of Triglycerides and Glucose: The Chungju Metabolic Disease Cohort (CMC) Study , 2014, PloS one.

[33]  Clive Osmond,et al.  Limitations of fasting indices in the measurement of insulin sensitivity in Afro-Caribbean adults , 2014, BMC Research Notes.

[34]  G. Mancini,et al.  The association between triglyceride to high-density-lipoprotein cholesterol ratio and insulin resistance in a multiethnic primary prevention cohort. , 2012, Metabolism: clinical and experimental.

[35]  S. Paydaş,et al.  Validation of the Friedewald formula for the determination of low-density lipoprotein cholesterol in renal transplant recipients , 2010, Renal failure.

[36]  Jason K. Kim Hyperinsulinemic-euglycemic clamp to assess insulin sensitivity in vivo. , 2009, Methods in molecular biology.

[37]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.