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

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

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DOI
10.48620/91815
Publisher DOI
10.1038/s41746-025-01998-0
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)
100 Philosophy > 150 Psychology
Language(s)
en
Author(s)
Baretta, Dario  
Institute of Psychology, Psychological and Behavioral Health  
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
Institute of Psychology, Psychological and Behavioral Health  
Journal
npj Digital Medicine
Publisher
Nature Research
ISSN
2398-6352
Access(Rights)
open.access
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