Observational studyBMC public health2026
Associations of cumulative exposure and two-time-point clustering of the triglyceride-cholesterol-body weight index with incident cardiovascular disease in middle-aged and older Chinese adults: a nationwide cohort study.
Observational study in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
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Authors and funding
11 authors.
Funding
Abstract
aimsThe triglyceride-cholesterol-body weight index (TCBI) has been proposed as a biomarker of the prognosis of stroke. However, the relationship between cumulative exposure and dynamic trajectories of the TCBI (cuTCBI/TCBI changes) and the risk of cardiovascular disease (CVD) remains unclear. The aim of this study is to examine the association between cuTCBI/TCBI changes and the risk of CVD. METHODS AND
resultsThe participants were from the China Health and Retirement Longitudinal Study (CHARLS). Partitioning Around Medoids (PAM) algorithm, Cox regression model, restricted cubic spline (RCS), Kaplan-Meier analysis and subgroup analysis were employed to evaluate the association between cuTCBI/TCBI changes and CVD risk. In model 3, compared to Q1, the risk of CVD increased by 83% for Q4 (HR:1.83, 95%CI: 1.49,2.24) (P for trend < 0.001). RCS analysis revealed a significant nonlinear relationship between cuTCBI and CVD risk. The results of PAM clustering demonstrated that the participants in moderate increase cluster (HR:1.35, 95%CI: 1.17,1.56, P < 0.001) and persistently high level cluster (HR:1.49, 95%CI: 1.22,1.83, P < 0.001) demonstrated a significantly elevated risk of CVD compared with the stable low risk cluster, with a significant trend towards increased risk across clusters (P for trend < 0.001). In the gender-stratified analysis, significant associations were observed in males, whereas the female TCBI change clusters did not reach statistical significance in the fully adjusted model.
conclusionOur research demonstrated a significant association between cuTCBI/TCBI changes and the increased risk of CVD. And the relationship between cuTCBI and CVD risk is nonlinear. The association between TCBI change clusters and outcomes may differ by gender, with statistical significance observed only in males. Our results indicated that regular monitoring of cuTCBI levels and maintaining relatively low levels may be crucial for CVD prevention.
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