使用来自活动监视器的步数数据预测压力后的恢复情况。

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-10-09 DOI:10.1038/s41746-025-01998-0

Dario Baretta,Sarah Koch,Joren Buekers,Judith Garcia-Aymerich,Lenka Knapova,Steriani Elavsky,Job Godino,Merlijn Olthof,Anna Lichtwarck-Aschoff,Ruud den Hartigh,Guillaume Chevance

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引用次数: 0

摘要

本研究调查了来自四个国家的226名参与者在体育活动中的应激反应过程。我们分析了他们在一个重大压力源（COVID-19封锁）前后通过活动监测器收集的步数。结果表明，“局部动态复杂性”指标可以显著预测身体活动恢复到covid前水平的速度。这些发现为及时干预提供了新的机会，以支持破坏性压力源后的身体活动恢复。

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Predicting recovery after stressors using step count data derived from activity monitors.

This study examines the stressor-response process in physical activity among 226 participants across four countries. We analyzed their step count collected via activity monitors before and after a significant stressor: the COVID-19 lockdown. Results showed that a 'local dynamic complexity' metric significantly predicts the rate of recovery to pre-COVID levels of physical activity. These findings provide new opportunities for just-in-time interventions to support physical activity recovery after disruptive stressors.

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来源期刊

NPJ Digital Medicine Multiple-

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.