The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease : NHANES 2003-2018
© 2024. The Author(s)..
BACKGROUND: In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied.
METHODS: This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships.
RESULTS: In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21-2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66-3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77-3.17), congestive heart failure (OR 2.14, 95% CI 1.31-3.51), and angina pectoris (OR 2.38, 95% CI 1.43-3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45-3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships.
CONCLUSIONS: TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
Cardiovascular diabetology - 23(2024), 1 vom: 06. Jan., Seite 8 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dang, Keke [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 08.01.2024 Date Revised 13.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12933-023-02115-9 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366752146 |
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| 100 | 1 | |a Dang, Keke |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease |b NHANES 2003-2018 |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Completed 08.01.2024 | ||
| 500 | |a Date Revised 13.03.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2024. The Author(s). | ||
| 520 | |a BACKGROUND: In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied | ||
| 520 | |a METHODS: This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships | ||
| 520 | |a RESULTS: In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21-2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66-3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77-3.17), congestive heart failure (OR 2.14, 95% CI 1.31-3.51), and angina pectoris (OR 2.38, 95% CI 1.43-3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45-3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships | ||
| 520 | |a CONCLUSIONS: TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Cardiovascular disease | |
| 650 | 4 | |a Cardiovascular disease (CVD) mortality | |
| 650 | 4 | |a National Health and Nutrition Examination Survey (NHANES) | |
| 650 | 4 | |a Triglyceride glucose (TyG) | |
| 650 | 4 | |a Triglyceride glucose-body mass index (TyG-BMI) | |
| 650 | 4 | |a Triglyceride glucose-waist circumference (TyG-WC) | |
| 650 | 4 | |a Triglyceride glucose-waist height ratio (TyG-WHtR) | |
| 650 | 7 | |a Glycated Hemoglobin |2 NLM | |
| 650 | 7 | |a Insulin |2 NLM | |
| 650 | 7 | |a Glucose |2 NLM | |
| 650 | 7 | |a IY9XDZ35W2 |2 NLM | |
| 650 | 7 | |a Triglycerides |2 NLM | |
| 700 | 1 | |a Wang, Xuanyang |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Jinxia |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuntao |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Licheng |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Xiang |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Ming, Zhu |e verfasserin |4 aut | |
| 700 | 1 | |a Tao, Xinmiao |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Ying |e verfasserin |4 aut | |
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