Department of Genetics University of North Carolina Chapel Hill NC.
Department of Biostatistics Gillings School of Global Public Health University of North Carolina Chapel Hill NC.
J Am Heart Assoc. 2021 Dec 21;10(24):e019946. doi: 10.1161/JAHA.121.019946. Epub 2021 Dec 10.
Background Research examining the role of obesity in cardiovascular disease (CVD) often fails to adequately consider heterogeneity in obesity severity, distribution, and duration. Methods and Results We here use multivariate latent class mixed models in the biracial Atherosclerosis Risk in Communities study (N=14 514; mean age=54 years; 55% female) to associate obesity subclasses (derived from body mass index, waist circumference, self-reported weight at age 25, tricep skinfold, and calf circumference across up to four triennial visits) with total mortality, incident CVD, and CVD risk factors. We identified four obesity subclasses, summarized by their body mass index and waist circumference slope as decline (4.1%), stable/slow decline (67.8%), moderate increase (24.6%), and rapid increase (3.6%) subclasses. Compared with participants in the stable/slow decline subclass, the decline subclass was associated with elevated mortality (hazard ratio [HR] 1.45, 95% CI 1.31, 1.60, <0.0001) and with heart failure (HR 1.41, 95% CI 1.22, 1.63, <0.0001), stroke (HR 1.53, 95% CI 1.22, 1.92, =0.0002), and coronary heart disease (HR 1.36, 95% CI 1.14, 1.63, =0.0008), adjusting for baseline body mass index and CVD risk factor profile. The moderate increase latent class was not associated with any significant differences in CVD risk as compared to the stable/slow decline latent class and was associated with a lower overall risk of mortality (HR 0.85, 95% CI 0.80, 0.90, <0.0001), despite higher body mass index at baseline. The rapid increase latent class was associated with a higher risk of heart failure versus the stable/slow decline latent class (HR 1.34, 95% CI 1.10, 1.62, =0.004). Conclusions Consideration of heterogeneity and longitudinal changes in obesity measures is needed in clinical care for a more precision-oriented view of CVD risk.
背景 研究肥胖症在心血管疾病(CVD)中的作用时,通常未能充分考虑肥胖严重程度、分布和持续时间的异质性。 方法和结果 我们在这里使用多元潜在类别混合模型,对双种族动脉粥样硬化风险社区研究(N=14514;平均年龄=54 岁;55%为女性)进行分析,将肥胖亚类(由体重指数、腰围、25 岁时的自我报告体重、三头肌皮褶和小腿围在多达四个三年一次的就诊中得出)与总死亡率、新发 CVD 和 CVD 风险因素相关联。我们确定了四个肥胖亚类,根据体重指数和腰围斜率概括为下降(4.1%)、稳定/缓慢下降(67.8%)、中度增加(24.6%)和快速增加(3.6%)亚类。与稳定/缓慢下降亚类的参与者相比,下降亚类与死亡率升高相关(危险比[HR]1.45,95%CI1.31,1.60,<0.0001)和心力衰竭(HR1.41,95%CI1.22,1.63,<0.0001)、中风(HR1.53,95%CI1.22,1.92,=0.0002)和冠心病(HR1.36,95%CI1.14,1.63,=0.0008),调整基线体重指数和 CVD 风险因素谱。与稳定/缓慢下降潜在类别相比,中度增加潜在类别与 CVD 风险无显著差异相关,与整体死亡率降低相关(HR0.85,95%CI0.80,0.90,<0.0001),尽管基线时体重指数较高。快速增加的潜在类别与心力衰竭的风险高于稳定/缓慢下降的潜在类别(HR1.34,95%CI1.10,1.62,=0.004)。 结论 在临床护理中,需要考虑肥胖测量的异质性和纵向变化,以更精确地评估 CVD 风险。