The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University Wuxi Center for Disease Control and Prevention Wuxi China.
J Am Heart Assoc. 2024 Oct;13(19):e034768. doi: 10.1161/JAHA.124.034768. Epub 2024 Sep 25.
BACKGROUND: Several previous cross-sectional studies suggested that body roundness index (BRI) may be associated with cardiovascular disease (CVD). However, the association should be further validated. Our study aimed to assess the association of the BRI trajectories with CVD among middle-aged and older Chinese people in a longitudinal cohort. METHODS AND RESULTS: A total of 9935 participants from the CHARLS (China Health and Retirement Longitudinal Study) with repeated BRI measurements from 2011 to 2016 were included. The BRI trajectories were identified by group-based trajectory modeling. The primary outcome was incident CVD (stroke or cardiac events), which occurred in 2017 to 2020. Cox proportional hazards regression models were used to examine the association of BRI trajectories with CVD risk. Participants were divided into 3 BRI trajectories, named the low-stable BRI trajectory, moderate-stable BRI trajectory and high-stable BRI trajectory, accounting for 49.81%, 42.35%, and 7.84% of the study population, respectively. Compared with participants in the low-stable BRI trajectory group, those in the moderate-stable and high-stable BRI trajectory groups had an increased risk of CVD, with multivariable adjusted hazard ratios of 1.22 (95% CI, 1.09-1.37) and 1.55 (95% CI, 1.26-1.90), respectively. Furthermore, simultaneously adding the BRI trajectory to the conventional risk model improved CVD risk reclassification (all <0.05). CONCLUSIONS: A higher BRI trajectory was associated with an increased risk of CVD. The BRI can be included as a predictive factor for CVD incidence.
背景:几项先前的横断面研究表明,体圆度指数(BRI)可能与心血管疾病(CVD)有关。然而,这种关联尚需进一步验证。我们的研究旨在评估中年和老年人中 BRI 轨迹与 CVD 的纵向队列研究中的关联。
方法和结果:共纳入 9935 名来自 CHARLS(中国健康与退休纵向研究)的参与者,这些参与者在 2011 年至 2016 年期间进行了重复的 BRI 测量。采用基于群组的轨迹建模方法确定 BRI 轨迹。主要结局为心血管疾病(中风或心脏事件)的发生,该事件发生在 2017 年至 2020 年。使用 Cox 比例风险回归模型来检验 BRI 轨迹与 CVD 风险的相关性。参与者分为 3 个 BRI 轨迹,分别命名为低稳定 BRI 轨迹、中稳定 BRI 轨迹和高稳定 BRI 轨迹,分别占研究人群的 49.81%、42.35%和 7.84%。与低稳定 BRI 轨迹组的参与者相比,中稳定 BRI 轨迹组和高稳定 BRI 轨迹组发生 CVD 的风险增加,多变量调整后的危险比分别为 1.22(95%CI,1.09-1.37)和 1.55(95%CI,1.26-1.90)。此外,同时将 BRI 轨迹添加到常规风险模型中可以提高 CVD 风险的重新分类(均<0.05)。
结论:较高的 BRI 轨迹与 CVD 风险增加相关。BRI 可以作为 CVD 发病的预测因子。
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