Predicting recovery after stressors using step count data derived from activity monitors.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 41068331.
- Also identified by DOI 10.1038/s41746-025-01998-0 and PMC identifier 12511605.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.