Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study

Abstract Objective Current literature is deficient in robust evidence delineating the correlation between the triglyceride glucose-body mass index (TyG-BMI) and the incidence of stroke. Consequently, this investigation seeks to elucidate the potential link between TyG-BMI and stroke risk in a cohort...

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Main Authors: Yuankai Shao, Haofei Hu, Qiming Li, Changchun Cao, Dehong Liu, Yong Han
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Cardiovascular Diabetology
Subjects:
Online Access:https://doi.org/10.1186/s12933-024-02165-7
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author Yuankai Shao
Haofei Hu
Qiming Li
Changchun Cao
Dehong Liu
Yong Han
author_facet Yuankai Shao
Haofei Hu
Qiming Li
Changchun Cao
Dehong Liu
Yong Han
author_sort Yuankai Shao
collection DOAJ
description Abstract Objective Current literature is deficient in robust evidence delineating the correlation between the triglyceride glucose-body mass index (TyG-BMI) and the incidence of stroke. Consequently, this investigation seeks to elucidate the potential link between TyG-BMI and stroke risk in a cohort of middle-aged and senior Chinese individuals. Methods This study employs longitudinal data from four waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018, encompassing 8,698 participants. The CHARLS cohort was assembled using a multistage probability sampling technique. Participants underwent comprehensive evaluations through standardized questionnaires administered via face-to-face interviews. Our analytic strategy involved the application of Cox proportional hazards regression models to investigate the association between TyG-BMI and the risk of stroke. To discern potential non-linear relationships, we incorporated Cox proportional hazards regression with smooth curve fitting. Additionally, we executed a battery of sensitivity and subgroup analyses to validate the robustness of our findings. Results Our study utilized a multivariate Cox proportional hazards regression model and found a significant correlation between the TyG-BMI and the risk of stroke. Specifically, a 10-unit increase in TyG-BMI corresponded to a 4.9% heightened risk of stroke (HR = 1.049, 95% CI 1.029–1.069). The analysis also uncovered a non-linear pattern in this relationship, pinpointed by an inflection point at a TyG-BMI value of 174.63. To the left of this inflection point—meaning at lower TyG-BMI values—a 10-unit hike in TyG-BMI was linked to a more substantial 14.4% rise in stroke risk (HR 1.144; 95% CI 1.044–1.253). Conversely, to the right of the inflection point—at higher TyG-BMI values—each 10-unit increment was associated with a smaller, 3.8% increase in the risk of stroke (HR 1.038; 95% CI 1.016–1.061). Conclusions In the middle-aged and elderly Chinese population, elevated TyG-BMI was significantly and positively associated with stroke risk. In addition, there was also a specific non-linear association between TyG-BMI and stroke (inflection point 174.63). Further reduction of TyG-BMI below 174.63 through lifestyle changes and dietary control can significantly reduce the risk of stroke.
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spelling doaj.art-74db5a0277e449bb979ca28de2de95512024-03-05T17:36:24ZengBMCCardiovascular Diabetology1475-28402024-02-0123111410.1186/s12933-024-02165-7Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort studyYuankai Shao0Haofei Hu1Qiming Li2Changchun Cao3Dehong Liu4Yong Han5Department of Emergency, Shenzhen Second People’s Hospital,The First Affiliated Hospital of Shenzhen UniversityDepartment of Nephrology, Shenzhen Second People’s HospitalDepartment of Emergency, Shenzhen Second People’s Hospital,The First Affiliated Hospital of Shenzhen UniversityDepartment of Rehabilitation, Shenzhen Dapeng New District Nan’ao People’s HospitalDepartment of Emergency, Shenzhen Second People’s Hospital,The First Affiliated Hospital of Shenzhen UniversityDepartment of Emergency, Shenzhen Second People’s Hospital,The First Affiliated Hospital of Shenzhen UniversityAbstract Objective Current literature is deficient in robust evidence delineating the correlation between the triglyceride glucose-body mass index (TyG-BMI) and the incidence of stroke. Consequently, this investigation seeks to elucidate the potential link between TyG-BMI and stroke risk in a cohort of middle-aged and senior Chinese individuals. Methods This study employs longitudinal data from four waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018, encompassing 8,698 participants. The CHARLS cohort was assembled using a multistage probability sampling technique. Participants underwent comprehensive evaluations through standardized questionnaires administered via face-to-face interviews. Our analytic strategy involved the application of Cox proportional hazards regression models to investigate the association between TyG-BMI and the risk of stroke. To discern potential non-linear relationships, we incorporated Cox proportional hazards regression with smooth curve fitting. Additionally, we executed a battery of sensitivity and subgroup analyses to validate the robustness of our findings. Results Our study utilized a multivariate Cox proportional hazards regression model and found a significant correlation between the TyG-BMI and the risk of stroke. Specifically, a 10-unit increase in TyG-BMI corresponded to a 4.9% heightened risk of stroke (HR = 1.049, 95% CI 1.029–1.069). The analysis also uncovered a non-linear pattern in this relationship, pinpointed by an inflection point at a TyG-BMI value of 174.63. To the left of this inflection point—meaning at lower TyG-BMI values—a 10-unit hike in TyG-BMI was linked to a more substantial 14.4% rise in stroke risk (HR 1.144; 95% CI 1.044–1.253). Conversely, to the right of the inflection point—at higher TyG-BMI values—each 10-unit increment was associated with a smaller, 3.8% increase in the risk of stroke (HR 1.038; 95% CI 1.016–1.061). Conclusions In the middle-aged and elderly Chinese population, elevated TyG-BMI was significantly and positively associated with stroke risk. In addition, there was also a specific non-linear association between TyG-BMI and stroke (inflection point 174.63). Further reduction of TyG-BMI below 174.63 through lifestyle changes and dietary control can significantly reduce the risk of stroke.https://doi.org/10.1186/s12933-024-02165-7StrokeTriglyceride glucose-body mass indexNon-linear associationInsulin resistanceSmooth curve fitting
spellingShingle Yuankai Shao
Haofei Hu
Qiming Li
Changchun Cao
Dehong Liu
Yong Han
Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
Cardiovascular Diabetology
Stroke
Triglyceride glucose-body mass index
Non-linear association
Insulin resistance
Smooth curve fitting
title Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
title_full Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
title_fullStr Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
title_full_unstemmed Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
title_short Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
title_sort link between triglyceride glucose body mass index and future stroke risk in middle aged and elderly chinese a nationwide prospective cohort study
topic Stroke
Triglyceride glucose-body mass index
Non-linear association
Insulin resistance
Smooth curve fitting
url https://doi.org/10.1186/s12933-024-02165-7
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