Evidence map›Paper›PMID 40616082›Full record

ArticleBMC endocrine disorders2025

Triglyceride glucose-weight-adjusted waist index (TyG-WWI): the best predictor of diabetes mellitus and mortality risks among TyG and TyG-derived indices.

Jiabin Tu, Bo Wu, Hongkui Chen, Yansong Guo

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiabin Tu *Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, China.
Bo Wu *Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, China. wujinbobo@163.com.
Hongkui Chen *Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, China.
Yansong GuoDepartment of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, China. ysguo1234@126.com.

Funding

National Natural Science Foundation of China General Program 82171569Natural Science Foundation of Fujian Province 2023J01176
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index has emerged as a promising biomarker for assessing insulin resistance. Considering the impact of obesity on insulin resistance, some researchers combined TyG with body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR) and other anthropometrics and used these to predict metabolic disease. Weight-adjusted waist index (WWI) was considered to be a more accurate parameter of obesity than other anthropometrics, but no studies have combined WWI with TyG index.

aimsTo investigate whether TyG-WWI was superior to other indices in assessing diabetes risk and mortality risk.

methodsThis study utilized data from the National Health and Nutrition Examination Survey. A total of 19,894 participants were included. TyG-WWI and other TyG-derived indices were calculated, and their associations with diabetes mellitus (DM), All-cause mortality, cardiovascular disease (CVD) mortality, and DM-related mortality were evaluated using logistic regression, Cox regression, and receiver operating characteristic curve (ROC) analysis.

resultsTyG-WWI was positively associated with the risk of DM (OR: 1.11, 95%CI: 1.10–1.12, P < 0.001) and various mortality outcomes, including All-cause mortality (HR: 1.02, 95%CI: 1.01–1.02, P < 0.001), CVD mortality (HR: 1.01, 95%CI: 1.01–1.02, P = 0.014), and DM-related mortality (HR: 1.04, 95%CI: 1.01–1.08, P = 0.013). ROC showed that TyG-WWI had the largest area under the curve for predicting DM (AUC: 0.81, 95% CI: 0.80–0.81), All-cause mortality (AUC: 0.69, 95% CI: 0.68–0.70), CVD mortality (AUC: 0.71, 95% CI: 0.69–0.72), and DM-related mortality (AUC: 0.85, 95% CI: 0.82–0.89) compared to other TyG-derived indices.

conclusionsTyG-WWI demonstrates superior predictive accuracy for DM and mortality risks compared to the standalone TyG index and other TyG-derived indices.

Indexed as

Blood GlucoseBody WeightDiabetes MellitusObesityTriglyceridesWaist CircumferenceBiomarkersBody Mass IndexCardiovascular DiseasesFemaleFollow-Up StudiesHumansMaleMiddle AgedNutrition SurveysPrognosisBiomarkersBlood GlucoseTriglyceridesDiabetes mellitusMortalityTriglyceride-glucose indexWeight-adjusted waist index

Identifiers

PMID40616082
PMCPMC12231725

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.