Predicting recovery after stressors using step count data derived from activity monitors.
Year: 2025
Type: article
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.
DOI: 10.48620/91815
Authors: Baretta, Dario, Koch, Sarah, Buekers, Joren, Garcia-Aymerich, Judith, Knapova, Lenka, Elavsky, Steriani, Godino, Job, Olthof, Merlijn, Lichtwarck-Aschoff, Anna, den Hartigh, Ruud, Chevance, Guillaume
Institution: Institute of Psychology
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7090681344
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