The relationship of cardiorespiratory fitness, physical activity, and coronary artery calcification to cardiovascular disease events in CARDIA participants.

IF 8.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Yariv Gerber, Kelley Pettee Gabriel, David R Jacobs, Jennifer Y Liu, Jamal S Rana, Barbara Sternfeld, John Jeffrey Carr, Paul D Thompson, Stephen Sidney
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引用次数: 0

Abstract

Aims: Moderate-to-vigorous-intensity physical activity (MVPA), cardiorespiratory fitness (CRF), and coronary artery calcification (CAC) are associated with cardiovascular disease (CVD) risk. While a U-shaped relationship between CRF or MVPA and CAC has been reported, the presence of CAC among highly fit individuals might be benign. We examined interactive associations of CRF or MVPA and CAC with outcomes and evaluated the relationship of CRF and MVPA to CAC incidence.

Methods and results: CARDIA participants with CAC assessed in 2005-06 were included (n = 3,141, mean age 45). MVPA was assessed by self-report and accelerometer. CRF was estimated with a maximal graded exercise test. Adjudicated CVD events and mortality data were obtained through 2019. CAC was reassessed in 2010-11. Cox models were constructed to assess hazard ratios (HRs) for CVD, coronary heart disease (CHD), and mortality in groups defined by CAC presence/absence and lower/higher CRF or MVPA levels. Logistic models were constructed to assess associations with CAC incidence. Adjustment was made for sociodemographic and CVD risk factors. Relative to participants with no CAC and higher CRF, the adjusted HRs for CVD were 4.68 for CAC and higher CRF, 2.22 for no CAC and lower CRF, and 3.72 for CAC and lower CRF. For CHD, the respective HRs were 9.98, 2.28, and 5.52. For mortality, the HRs were 1.15, 1.58, and 3.14, respectively. Similar findings were observed when MVPA measured either by self-report or accelerometer was substituted for CRF. A robust inverse association of CRF and accelerometer-derived MVPA with CAC incidence was partly accounted for by adjusting for CVD risk factors.

Conclusion: In middle-aged adults, CRF and MVPA demonstrated an inverse association with CAC incidence, but did not mitigate the increased cardiovascular risk associated with CAC, indicating that CAC is not benign in individuals with higher CRF or MVPA levels.

CARDIA 参与者的心肺功能、体育锻炼和冠状动脉钙化与心血管疾病事件的关系。
目的:中强度到高强度体力活动(MVPA)、心肺功能(CRF)和冠状动脉钙化(CAC)与心血管疾病(CVD)风险有关。虽然有报道称 CRF 或 MVPA 与 CAC 之间存在 U 型关系,但高体能者出现 CAC 可能是良性的。我们研究了 CRF 或 MVPA 与 CAC 与结果之间的互动关系,并评估了 CRF 和 MVPA 与 CAC 发病率之间的关系:方法:纳入 2005-06 年接受 CAC 评估的 CARDIA 参与者(n=3,141,平均年龄 45 岁)。MVPA 通过自我报告和加速计进行评估。通过最大分级运动测试估算CRF。至 2019 年,获得了已裁定的心血管疾病事件和死亡率数据。2010-11 年对 CAC 进行了重新评估。建立了 Cox 模型,以评估 CAC 存在/不存在、CRF 或 MVPA 水平较低/较高的组别中心血管疾病、冠心病 (CHD) 和死亡率的危险比 (HRs)。建立了逻辑模型来评估与 CAC 发病率的关系。对社会人口学因素和心血管疾病风险因素进行了调整:结果:相对于无 CAC 和较高 CRF 的参与者,CAC 和较高 CRF 的心血管疾病调整 HR 值为 4.68,无 CAC 和较低 CRF 的 HR 值为 2.22,CAC 和较低 CRF 的 HR 值为 3.72。就冠心病而言,HRs 分别为 9.98、2.28 和 5.52。死亡率的 HR 分别为 1.15、1.58 和 3.14。如果用自我报告或加速度计测量的 MVPA 代替 CRF,也能观察到类似的结果。CRF和加速度计测量的MVPA与CAC发病率呈稳健的反向关系,这在一定程度上可以通过调整心血管疾病风险因素来解释:结论:在中年人中,CRF和MVPA与CAC发病率呈反向关系,但并不能减轻与CAC相关的心血管风险的增加,这表明CRF或MVPA水平较高的人的CAC并不是良性的。
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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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