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

D. Baretta, S. Koch, J. Buekers, J. Garcia-Aymerich, L. Knapova, S. Elavsky, J. Godino, M. Olthof, A. Lichtwarck-Aschoff, R. den Hartigh, G. Chevance

. 2025 ; 8 (1) : 606. [pub] 20251009

Status neindexováno Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc26002203

Grantová podpora
R01 HL136769 NHLBI NIH HHS - United States
MSCA-IF (10.3030/840513) European Commission
FJC2021-046458-I Juan de la Cierva Formación

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.

Citace poskytuje Crossref.org

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