大规模了解活动和生理学苹果心脏与运动研究

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2024-09-10 DOI:10.1038/s41746-024-01187-5
James Truslow, Angela Spillane, Huiming Lin, Katherine Cyr, Adeeti Ullal, Edith Arnold, Ron Huang, Laura Rhodes, Jennifer Block, Jamie Stark, James Kretlow, Alexis L. Beatty, Andreas Werdich, Deepali Bankar, Matt Bianchi, Ian Shapiro, Jaime Villalpando, Sharon Ravindran, Irida Mance, Adam Phillips, John Earl, Rahul C. Deo, Sumbul A. Desai, Calum A. MacRae
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引用次数: 0

摘要

体育活动或有组织的锻炼在各种情况下都是有益的。然而,个人层面的数据在规模、持续时间或注释水平上对各种类型活动的不同反应还不足以了解离散结果的机制,也不足以支持个性化建议。Apple Heart & Movement Study(苹果心脏&运动研究)旨在从分布在美国各地的大型真实世界人群中被动收集可通过 Apple Watch 和 iPhone 访问的密集生理数据,以填补这些知识空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Understanding activity and physiology at scale: The Apple Heart & Movement Study
Physical activity or structured exercise is beneficial in a wide range of circumstances. Nevertheless, individual-level data on differential responses to various types of activity are not yet sufficient in scale, duration or level of annotation to understand the mechanisms of discrete outcomes nor to support personalized recommendations. The Apple Heart & Movement Study was designed to passively collect the dense physiologic data accessible on Apple Watch and iPhone from a large real-world cohort distributed across the US in order to address these knowledge gaps.
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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