Dataset Information

Triglyceride Glucose-Body Mass Index and Risk of Incident Type 2 Diabetes Mellitus in Japanese People With Normal Glycemic Level: A Population-Based Longitudinal Cohort Study.

ABSTRACT:

Background

It has been proved that triglyceride glucose-body mass index (TyG-BMI) is a readily available and clinically significant indicator of insulin resistance (IR). Nevertheless, the association between TyG-BMI and incident Type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to study the relationship between TyG-BMI and T2DM and explore the predictive characteristics of TyG-BMI.

Methods

Our study was conducted as a longitudinal cohort study. 8,430 men and 7,034 women were enrolled and analyzed. They were both non-diabetic subjects with normal glycemic levels. Follow-up lasted for 13 years, from 1994 to 2016. To make the number of TyG-BMI in each group similar, the subjects were divided into four groups with 3866 subjects in each group.

Results

During the 13-year follow-up period, 373 subjects were diagnosed with incident T2DM. Our multivariate Cox regression analysis revealed that TyG-BMI was an independent predictor of incident T2DM. In addition, our research identified four specific groups, young people (18-44 years old), women, the non-hypertensive population and non-drinkers were at significantly higher risk of developing TyG-BMI-related diabetes (P-interaction< 0.05). The best threshold TyG-BMI for predicting incident T2DM was 197.2987 (area under the curve 0.7738).

Conclusions

Our longitudinal cohort study demonstrated the positive correlation between baseline TyG-BMI and risk of incident T2DM in Japanese with normal glycemic levels, and this risk was significantly higher in the young people, women, the non-hypertensive population and non-drinkers.

SUBMITTER: Song B

PROVIDER: S-EPMC9336540 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Triglyceride Glucose-Body Mass Index and Risk of Incident Type 2 Diabetes Mellitus in Japanese People With Normal Glycemic Level: A Population-Based Longitudinal Cohort Study.

Song Bei B Zhao Xiaofang X Yao Tianci T Lu Weilin W Zhang Hao H Liu Ting T Liu Chengyun C Wang Kun K

Frontiers in endocrinology 20220714

<h4>Background</h4>It has been proved that triglyceride glucose-body mass index (TyG-BMI) is a readily available and clinically significant indicator of insulin resistance (IR). Nevertheless, the association between TyG-BMI and incident Type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to study the relationship between TyG-BMI and T2DM and explore the predictive characteristics of TyG-BMI.<h4>Methods</h4>Our study was conducted as a longitudinal cohort study. 8,430 men and 7,03 ...[more]

PMID: 35909552

Similar Datasets

Project description:BackgroundBy identifying individuals at high risk for non-alcoholic fatty liver disease (NAFLD), interventional programs could be targeted more effectively. Some studies have demonstrated that triglyceride glucose-body mass index (TyG-BMI) showed an independent positive association with NAFLD. However, research on its diagnostic value in patients with suspected NAFLD is limited. In this study, we aimed to evaluate whether TyG-BMI was accurate in detecting NAFLD in the general Japanese population.MethodsA cross-sectional study of 14,280 individuals who underwent a comprehensive health examination was conducted. Standard protocols were followed to collect anthropometric measurements, lab data, and ultrasonography features. All participants were randomly stratified into the development group (n = 7118) and validation group (n = 7162). The TyG-BMI was calculated. Following this, the diagnostic value of the TyG-BMI was evaluated based on the area under the receiver-operating characteristic curve (AUROC). Two cutoff points were selected and used to rule out or rule in the NALFD, and the specificity, sensitivity, negative predictive value, and positive predictive value were explored, respectively. In order to verify the stability of the results, external verification was performed.ResultsThere were 1272 and 1243 NAFLD participants in the development and validation groups, respectively. The area under the ROC curve (AUC) of TyG-BMI was 0.888 (95% CI 0.876-0.896) and 0.884 (95% CI 0.875-0.894) for the training and validation group, respectively. Using the low TyG-BMI (182.2) cutoff, NAFLD could be excluded with high accuracy (negative predictive value: 96.9% in estimation and 96.9% in validation). The presence of NAFLD could effectively be determined by applying the high cutoff of TyG-BMI (224.0), as the positive predictive value of the estimation and validation groups is 70.7% and 70.1%, respectively. As a result of applying this model, 9996 (70%) of the 14,280 participants would not have undergone ultrasonography, with an accurate prediction of 9308 (93.1%). AUC was 0.874 for external validation using 183,730 Chinese non-obese participants. TyG-BMI was demonstrated to be an excellent diagnostic tool by both internal and external validation.ConclusionsIn conclusion, the present study developed and validated a simple, non-invasive, and cost-effective tool to accurately separate participants with and without NAFLD in the Japanese population, rendering ultrasonography for identifying NAFLD unnecessary in a substantial proportion of people.

Project description:BackgroundCardiovascular disease (CVD) is a leading cause of global mortality, with increasing prevalence and impact, especially in the elderly and developing countries. Insulin resistance (IR) plays a significant role in CVD progression, and the triglyceride glucose-body mass index (TyG-BMI) index, combining fasting glucose and triglycerides, offers a simple, cost-effective method for assessing IR. However, its prognostic value in CVD populations remains underexplored. This study aims to investigate the relationship between TyG-BMI and mortality in CVD patients.MethodsData from the National Health and Nutrition Examination Survey (NHANES) (1999-2018) combined with the linked National Death Index were analyzed. The CVD population was split into two groups (Q1 and Q2) based on the median TyG-BMI. The primary outcomes were all-cause mortality and cause-specific mortality.ResultsThe study ultimately included 2,576 participants, of which 56% were male. The median age of the participants was 69 years, and the median TyG-BMI was 256.59. After adjusting for potential confounders, a negative relationship was found between TyG-BMI and all-cause mortality in populations with CVD, coronary heart disease (CHD), congestive heart failure (CHF), and heart attack. The hazard ratios (HR) and 95% confidence intervals (CI) were 0.73 (0.64, 0.85), 0.67 (0.53, 0.84), 0.69 (0.54, 0.88), and 0.73 (0.59, 0.91), respectively. At the same time, a notable inverse relationship was noted between the TyG-BMI and non-CVD mortality in the CVD and CHD population, with HR and 95% CI of 0.70 (0.58, 0.84) and 0.61 (0.45, 0.82), respectively. In this study, there was no observed noteworthy relationship between TyG-BMI and CVD mortality. Furthermore, sensitivity analysis yielded similar results.ConclusionAmong populations with CVD in the United States, a heightened TyG-BMI was notably correlated with a decreased likelihood of mortality. This index can effectively classify the risk levels of CVD patients and may serve as a valuable prognostic marker.

Dataset Information

Triglyceride Glucose-Body Mass Index and Risk of Incident Type 2 Diabetes Mellitus in Japanese People With Normal Glycemic Level: A Population-Based Longitudinal Cohort Study.

Background

Methods

Results

Conclusions

Publications

Triglyceride Glucose-Body Mass Index and Risk of Incident Type 2 Diabetes Mellitus in Japanese People With Normal Glycemic Level: A Population-Based Longitudinal Cohort Study.

Similar Datasets

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