Predicting recovery after stressors using step count data derived from activity monitors
Status PubMed-not-MEDLINE Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
R01 HL136769
NHLBI NIH HHS - United States
MSCA-IF (10.3030/840513)
European Commission
FJC2021-046458-I
Juan de la Cierva Formación
PubMed
41068331
PubMed Central
PMC12511605
DOI
10.1038/s41746-025-01998-0
PII: 10.1038/s41746-025-01998-0
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
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.
CIBER Epidemiología y Salud Pública Barcelona Spain
Faculty of Behavioural and Social Sciences University of Groningen Groningen The Netherlands
Family Health Centers of San Diego San Diego CA USA
Institute of Psychology University of Bern Bern Switzerland
Univ Rennes Inserm EHESP Irset Rennes France
Universitat Pompeu Fabra Barcelona Spain
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