Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Nutr Metab Cardiovasc Dis. 2024 Oct;34(10):2257-2265. doi: 10.1016/j.numecd.2024.04.013. Epub 2024 Apr 25.
Cardiovascular diseases (CVD) is a major threat to public health, while cardiorespiratory fitness (CRF) is a key predictor of chronic disease. Given this, the purpose of this study was to investigate the relationship between estimated CRF (eCRF) and CVD in middle-aged and elderly Chinese people.
The China Health and Retirement Longitudinal Study (CHARLS) with 4761 individuals were included in analysis. Participants were divided into three groups according to eCRF quantile in sex subgroups. Cox proportional hazards regression models were used to explore the correlation of eCRF with CVD (stroke or cardiac events). In total, 4761 participants were included in this cohort study (2500 [52.51%] women). During a 7-year follow-up from 2011 to 2018, 796 CVDs (268 Strokes and 588 cardiac events) were recorded. In multivariable-adjusted analyses, for per 1 SD increase of eCRF, the age-adjusted risk of CVD was reduced by about 18% (HR = 0.82; 95% CI, 0.72-0.93) in men, and was reduced by about 29% (HR = 0.71; 95% CI, 0.62-0.81) in women. Similar associations were also found between eCRF and stroke and cardiac events. Both subgroup and interaction analyses showed that the interaction of age had a statistically significant effect on CVD risk.
ECRF was inversely associated with CVD risk (stroke or cardiac events) in both men and women. Remarkable sex and age differences exist in the effectiveness of increasing eCRF to reduce the risk of CVD. As a potential, efficient and cost-effective risk prediction tool, eCRF deserves further attention and wide application.
心血管疾病(CVD)是公众健康的主要威胁,而心肺适能(CRF)是慢性疾病的关键预测指标。有鉴于此,本研究旨在探讨中年和老年中国人的估计心肺适能(eCRF)与 CVD 之间的关系。
本研究纳入了中国健康与养老追踪调查(CHARLS)中的 4761 名个体。根据性别亚组的 eCRF 分位数,参与者被分为三组。使用 Cox 比例风险回归模型来探讨 eCRF 与 CVD(中风或心脏事件)的相关性。在这项队列研究中,共有 4761 名参与者(2500 名[52.51%]女性)。在 2011 年至 2018 年的 7 年随访期间,共记录了 796 例 CVD(268 例中风和 588 例心脏事件)。在多变量调整分析中,对于 eCRF 每增加 1 个标准差,男性 CVD 的年龄调整风险降低约 18%(HR=0.82;95%CI,0.72-0.93),女性降低约 29%(HR=0.71;95%CI,0.62-0.81)。eCRF 与中风和心脏事件之间也存在类似的关联。亚组和交互分析均表明,年龄的交互作用对 CVD 风险有统计学意义。
eCRF 与男性和女性的 CVD 风险(中风或心脏事件)呈负相关。增加 eCRF 降低 CVD 风险的效果存在显著的性别和年龄差异。作为一种潜在的、高效且具有成本效益的风险预测工具,eCRF 值得进一步关注和广泛应用。