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

. 2025 Oct 09 ; 8 (1) : 606. [epub] 20251009

Status PubMed-not-MEDLINE Jazyk angličtina Země Anglie, Velká Británie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid41068331

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

Odkazy

PubMed 41068331
PubMed Central PMC12511605
DOI 10.1038/s41746-025-01998-0
PII: 10.1038/s41746-025-01998-0
Knihovny.cz E-zdroje

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.

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