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Monika Šimaitytė1, Andrius Petrėnas2, Julija Kravčenko3

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New physical activity metrics reveal patterns in cardiovascular disease (CVD) patients. Higher aggregation suggests more sedentary behavior, offering insights into CVD patient activity and health outcomes.

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Area of Science:

  • Cardiology
  • Exercise Physiology
  • Biostatistics

Background:

  • Physical activity is crucial for survival after cardiovascular events.
  • Current metrics often overlook activity patterns, focusing solely on quantity.
  • Understanding physical activity distribution is key for comprehensive health assessment.

Purpose of the Study:

  • To introduce a novel metric evaluating physical activity aggregation over time.
  • To assess the metric's ability to differentiate various activity patterns.
  • To explore the relationship between physical activity patterns and chronic cardiovascular disease (CVD).

Main Methods:

  • Development of a new metric quantifying the deviation from uniform physical activity distribution.
  • Application of the metric to step data from 40 participants (20 with CVD, 20 healthy).
  • Analysis of activity patterns including daily routines and weekly behaviors (e.g., 'weekend warrior').

Main Results:

  • The metric successfully distinguished between diverse daily and weekly physical activity patterns.
  • Cardiovascular disease (CVD) patients exhibited higher aggregation values, indicating more sedentary periods.
  • Combining aggregation with intensity metrics captured common activity profiles like inactivity and regular activity.

Conclusions:

  • The novel aggregation metric provides a more nuanced evaluation of physical activity patterns.
  • Increased physical activity aggregation may be linked to sedentary behavior in CVD patients.
  • This metric holds potential clinical relevance for understanding physical activity's impact on health outcomes.