Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN, USA.
Ethn Health. 2022 Jul;27(5):997-1009. doi: 10.1080/13557858.2020.1839021. Epub 2020 Nov 21.
Variability of Cardiovascular disease (CVD) risk, including racial difference, is not fully accounted for by the variability of traditional CVD risk factors. We used a multiple biomarker model as a framework to explore known racial differences in CVD burden.
We measured associations between accelerated aging (AccA) measured by a combination of biomarkers, and cardiovascular morbidity and all-cause mortality using data from the Coronary Artery Risk Development in Young Adults study (CARDIA). AccA was defined as the difference between biological age, calculated using biomarkers with the Klemera and Doubal method, and chronological age. Using logistic regression, we assessed overall and race-specific associations between AccA, CVD, and all-cause mortality.
Among our cohort of 2959 Black or White middle-aged adults, after adjustment, a one-year increase in AccA was associated with increased odds of CVD (Odds Ratio (OR) = 1.04; 95% CI: 1.02, 1.06), stroke (OR = 1.12; 95% CI: 1.07, 1.17), and all-cause mortality (OR = 1.05; 95% CI: 1.02, 1.08). We did not find significant overall racial differences, but we did find race by sex differences where Black men differed markedly from White men in the strength of association with CVD (OR = 1.06, 95% CI: 1.01, 1.12).
We provide evidence that AccA is associated with future CVD.
心血管疾病（CVD）风险的变异性，包括种族差异，不能完全用传统 CVD 风险因素的变异性来解释。我们使用多生物标志物模型作为框架，探讨 CVD 负担中已知的种族差异。
我们使用来自年轻人冠状动脉风险发展研究（CARDIA）的数据，测量了由生物标志物组合测量的加速老化（AccA）与心血管发病率和全因死亡率之间的相关性。AccA 定义为使用 Klemera 和 Doubal 方法计算的生物年龄与实际年龄之间的差异。使用逻辑回归，我们评估了 AccA、CVD 和全因死亡率之间的总体和种族特异性相关性。
在我们的 2959 名黑人和白人中年成年人队列中，调整后，AccA 每年增加与 CVD（优势比（OR）=1.04；95%可信区间：1.02, 1.06）、中风（OR=1.12；95%可信区间：1.07, 1.17）和全因死亡率（OR=1.05；95%可信区间：1.02, 1.08）的发病几率增加相关。我们没有发现总体种族差异，但我们确实发现了种族与性别的差异，黑人男性与白人男性在与 CVD 的关联强度上存在显著差异（OR=1.06，95%可信区间：1.01, 1.12）。
我们提供的证据表明 AccA 与未来的 CVD 相关。
