Evidence map›Paper›PMID 39764243›Full record

ArticleFrontiers in endocrinology2024

Triglyceride-glucose index as a mediator of body mass index and cardiovascular disease in middle-aged and older Chinese adults: a nationally representative longitudinal cohort study.

Ying-Yuan Gan, Lu Zhai, Qian Liao, Rong-Rui Huo

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ying-Yuan GanDepartment of Scientific Research, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Lu ZhaiDepartment of Smart Health Elderly Care Services and Management, School of Nursing, Guangxi Health Science College, Nanning, China.
Qian LiaoDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China.
Rong-Rui HuoDepartment of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) consistently correlates with the triglyceride-glucose (TyG) index, a marker of insulin resistance, which in turn is linked to heightened cardiovascular disease (CVD) risk. Thus, insulin resistance could potentially mediate the association between BMI and CVD risk. However, few studies have explored this mechanism in the general population. Methods: We used data from the China Health and Retirement Longitudinal Study, which is an ongoing prospective cohort study. It initially enrolled 7233 middle-aged and older Chinese adults who were free of heart disease and stroke at baseline. The exposure variable was BMI. Incident CVD, defined as self-reported physician-diagnosed heart disease and stroke combined, served as the main outcome. Results: Of the 7 233 participants (mean [SD] age, 58.93 [9.33] years), 3 415 (47.2%) were men. During the 7 years of follow-up, 1 411 incident CVD cases were identified. Both BMI and TyG index were associated with CVD risk (HR per 1-SD increase: BMI, 1.23; 95% CI, 1.17-1.29; TyG, 1.13; 95% CI, 1.07-1.19). The 4-way decomposition analysis show that, overweight increased CVD risk by 28% (HR [total association], 1.28; 95% CI, 1.14-1.45), with 18.1% (95% CI, 2.2%-34.0%) mediated by TyG index (HR [pure indirect association], 1.05; 95% CI, 1.02-1.09); while obesity increased CVD risk by 91% (HR [total association], 1.91; 95% CI, 1.63-2.23), with 9.5% (95% CI, 2.2%-16.7%) mediated by TyG index (HR [pure indirect association], 1.09; 95% CI, 1.03-1.15). No evidence suggested TyG index modified BMI's association with incident CVD. Conclusions: The study revealed that the TyG index was associated to CVD risk and acted as a small partial mediator in the relationship between BMI and CVD among middle-aged and older Chinese adults. Consequently, solely addressing insulin resistance might not significantly mitigate the impact of body weight on CVD. Thus, exploring alternative pathways and potential mediators of CVD risk becomes imperative.

Indexed as

Blood GlucoseBody Mass IndexCardiovascular DiseasesTriglyceridesAgedBiomarkersChinaCohort StudiesEast Asian PeopleFemaleHumansIncidenceInsulin ResistanceLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseTriglycerides4-way decomposition approachbody mass indexcardiovascular diseaseCHARLSmediatortriglyceride-glucose index

Identifiers

PMID39764243
PMCPMC11700812

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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 OpenQuestion graph.