ArticleScientific reports2025
Nonlinear relationships between the triglyceride glucose-body mass index and cardiovascular disease in middle-aged and elderly women from NHANES (1999-2018).
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations of triglyceride-glucose-related composite obesity indices with cardiovascular diseases and mortality: a systematic review and meta-analysis.Cardiovascular diabetology · 2026Pooled it
- Association between the triglyceride-glucose-body mass index and the risk of early vascular aging in young and middle-aged Chinese adults: a cross-sectional study.BMC cardiovascular disorders · 2026Observational
- Anthropometric indices and mortality in postmenopausal women: NHANES 1999-2018 evidence.BMC women's health · 2025Article
- Combined association of triglyceride-glucose index and systemic inflammation index on all-cause and cardiovascular mortality.Scientific reports · 2025Article
- Exploring BMI's mediating influence on cardiovascular risk correlations with the triglyceride-glucose index: using NHANES and CHARLS cohorts.Frontiers in cardiovascular medicine · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
This study aims to investigate the relationship between the triglyceride-glucose body mass index (TyG-BMI) and cardiovascular disease (CVD) among middle-aged and elderly women, using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. TyG-BMI was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2] × BMI. After applying the sampling weights from NHANES, the study sample of 6,343 participants is representative of approximately 59,174,898 American women. We categorized TyG-BMI into quartiles, using Q3 as the reference group. In the crude model, Q4 exhibited a 40% increased odds of CVD (odds ratio [OR] = 1.40, 95% confidence interval [CI] 1.09-1.79, P = 0.009). In the fully adjusted model, the increased odds of CVD for Q4 relative to Q3 was 39% (OR = 1.39, 95% CI 1.06-1.82, P = 0.019). Further analysis using restricted cubic splines (RCS) and threshold effect analysis confirmed a nonlinear relationship between them. Below a TyG-BMI threshold of 260, there was no significant association with CVD odds. However, above 260, each 10-unit increase in TyG-BMI was associated with a 2.4% increase in CVD odds in this demographic. Sensitivity analyses confirmed the stability of the results.
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