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估计心肺适能和代谢风险。

Estimated Cardiorespiratory Fitness and Metabolic Risks.

机构信息

Division of Social and Behavioral Medicine, Kagoshima University Graduate Medical School, Kagoshima 890-8520, Japan.

出版信息

Int J Environ Res Public Health. 2024 May 16;21(5):635. doi: 10.3390/ijerph21050635.

Abstract

This review focuses on the emerging evidence for the association between non-exercise fitness testing, estimated cardiorespiratory fitness (eCRF), and metabolic risk factors. Given the challenges associated with directly measuring cardiorespiratory fitness (CRF) in large populations, eCRF presents a practical alternative for predicting metabolic health risks. A literature search identified seven relevant cohort studies from 2020 to 2024 that investigated the association of eCRF with hypertension, hyperglycemia, dyslipidemia, and obesity. This review consistently demonstrates an inverse relationship between higher eCRF and a lower incidence of metabolic risks, which is in line with CRF cohort studies. It highlights the importance of low eCRF as a primordial indicator for metabolic risks and underscores the potential for broader application. Future research directions should include exploring eCRF's predictive ability across diverse populations and health outcomes and testing its real-world applicability in healthcare and public health settings.

摘要

本综述重点关注非运动健身测试、估计的心肺适能(eCRF)与代谢风险因素之间的关联的新证据。鉴于直接测量心肺适能(CRF)在大人群中存在挑战,eCRF 为预测代谢健康风险提供了一种实用的替代方法。文献检索确定了 2020 年至 2024 年的七项相关队列研究,这些研究调查了 eCRF 与高血压、高血糖、血脂异常和肥胖之间的关联。本综述一致表明,更高的 eCRF 与较低的代谢风险发生率之间存在反比关系,这与 CRF 队列研究一致。它强调了低 eCRF 作为代谢风险的原始指标的重要性,并突出了其在更广泛应用中的潜力。未来的研究方向应包括探索 eCRF 在不同人群和健康结果中的预测能力,并在医疗保健和公共卫生环境中测试其实际适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64be/11120962/d09632fd7857/ijerph-21-00635-g001.jpg

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