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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月9日

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  • Dario Baretta,
  • Sarah Koch,
  • Joren Buekers,
  • Judith Garcia-Aymerich,
  • Lenka Knapova,
  • Steriani Elavsky,
  • Job Godino,
  • Merlijn Olthof,
  • Anna Lichtwarck-Aschoff,
  • Ruud den Hartigh,
  • Guillaume Chevance

摘要

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.