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中国心血管结局的体力活动前瞻性队列研究(PACVO)方案:目的、设计和基线特征。

Protocol of a Prospective Cohort Study of Physical Activity in Cardiovascular Outcomes (PACVO) in China: Objective, Design, and Baseline Characteristics.

机构信息

Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 226011, China.

Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, 333 Nan Chen Road, Shanghai, 200444, China.

出版信息

J Cardiovasc Transl Res. 2022 Aug;15(4):918-925. doi: 10.1007/s12265-021-10194-w. Epub 2022 Jan 8.

Abstract

Physical inactivity has been known as an independent risk factor for cardiovascular diseases (CVDs). The "Physical Activity in Cardiovascular Outcomes (PACVO)" study is a long-term community-based cohort study, which will prospectively observe the association of physical activity alone or combined with other contributor factors with CVD outcomes. From 2013 to 2014, a total of 8291 participants ≥ 18 years old were enrolled in the PACVO study from Jidong community (Tangshan, China). According to physical activity assessment, participants were divided into inactive, moderately active, and very active groups. The follow-up has been conducted once every year including physical examinations, blood biochemistry, cardiovascular imaging, and life quality questionnaires until 2034 or until the occurrence of cardiovascular events. The PACVO study will provide substantial information about the association of physical activity with CVD outcomes, therefore promote utilizing physical activity in the prevention and prediction of CVDs.

摘要

身体活动不足是心血管疾病(CVDs)的一个独立危险因素。“心血管结局中的体力活动(PACVO)”研究是一项长期的基于社区的队列研究,它将前瞻性地观察身体活动单独或与其他因素一起与 CVD 结局的关联。2013 年至 2014 年,共有 8291 名≥18 岁的参与者从中国唐山的冀东社区(Jidong community)被纳入 PACVO 研究。根据身体活动评估,参与者被分为不活动、适度活跃和非常活跃组。随访每年进行一次,包括体检、血液生化、心血管成像和生活质量问卷,直到 2034 年或直到发生心血管事件。PACVO 研究将提供大量关于身体活动与 CVD 结局关联的信息,从而促进在 CVD 的预防和预测中利用身体活动。

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