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

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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Publication Details

Journal
npj Digital Medicine
Published
2025-10-09
DOI
https://doi.org/10.1038/s41746-025-01998-0
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.12

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article

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

Anna Lichtwarck‐Aschoff, Job Godino, Lenka Knapová, Joren Buekers et al.
1 citations
npj Digital Medicine
Mental Health Research Topics
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article

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

Anna Lichtwarck‐Aschoff, Job Godino, Lenka Knapová, Joren Buekers, Judith García‐Aymerich, Guillaume Chevance, Ruud J. R. Den Hartigh, Dario Baretta, Merlijn Olthof, Sarah Koch, Steriani Elavsky
article en
1 citations

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.

npj Digital MedicineVol. 8(1)
University of Bern (CH), Inserm (FR), École des Hautes Études en Santé Publique (FR), University of Groningen (NL), Universitat Pompeu Fabra (ES), University of Basel (CH), University of Ostrava (CZ), UC San Diego Health System (US), Universidad Iberoamericana (DO), Institut de Recherche en Santé, Environnement et Travail (FR), Family Health Centers of San Diego (US), Barcelona Institute for Global Health (ES), Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES), Université de Rennes (FR)
“la Caixa” Foundation, European Commission, Generalitat de Catalunya
Openalex Percentile: Top 11%
Mental Health Research Topics
2.12
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