Predicting recovery after stressors using step count data derived from activity monitors.
Publisher DOI
PubMed ID
41068331
Abstract
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.
Date Issued
2025-10-09
Publication Type
Article
Subject(s)
Language(s)
en
Author(s)
Koch, Sarah | |
Buekers, Joren | |
Garcia-Aymerich, Judith | |
Knapova, Lenka | |
Elavsky, Steriani | |
Godino, Job | |
Olthof, Merlijn | |
Lichtwarck-Aschoff, Anna | |
den Hartigh, Ruud | |
Chevance, Guillaume |
Additional Credits
Journal
npj Digital Medicine
Publisher
Nature Research
ISSN
2398-6352
Access(Rights)
open.access