Observational studyBMC public health2025
Revealing the U-shaped nonlinear relationship between lipid accumulation product levels and cardiovascular disease risk using the large CHARLS cohort study in China.
Observational study in BMC public health, 2025. 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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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.
- Lipid accumulation product and its association between new onset stroke among middle age and elderly population.BMC cardiovascular disorders · 2026Article
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4 authors.
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Abstract
backgroundCardiovascular disease (CVD) poses a major health challenge in China. Lipid accumulation product (LAP), reflecting body fat distribution, has been associated with CVD risk. However, evidence regarding the relationship between LAP and CVD among Chinese populations remains limited.
methodsThis study utilized data from the China Health and Retirement Longitudinal Study, a large national cohort study. A total of 4,481 participants aged ≥ 45 years without CVD at baseline were included, with a 9-year follow-up. Cox regression analyses were performed to examine the association between LAP and CVD incidence. Subgroup and sensitivity analyses were also conducted.
resultsLAP was associated with CVD risk in a U-shaped manner, with higher risks observed at both low and high LAP levels (inflection point = 2.7). For LAP ≤ 2.7, the hazard ratio (HR) for CVD was 0.62 (95% CI: 0.40, 0.96, P = 0.0309), indicating a 38% decreased risk with increasing LAP. For LAP > 2.7, the HR was 1.22 (95% CI: 1.04, 1.44, P = 0.0153), suggesting a 22% increased risk.
conclusionThis study revealed a U-shaped nonlinear relationship between LAP and CVD risk in Chinese adults, with risks elevated at both low and high LAP levels. The findings suggest LAP could serve as an effective predictor for CVD among the Chinese population. Further studies are warranted to validate the results.
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