Exercise & Training

Association between physical activity and stationary time variability and frailty in adults meeting and not meeting activity guidelines.

TL;DR

After accounting for accelerometer wear time, neither MVPA nor stationary time variability were associated with frailty, highlighting that overall activity may be associated with frailty rather than day-to-day accumulation patterns.

Key Findings

There was no association between MVPA variability and frailty in either active or inactive individuals.

  • Analysis included N=5945 community-dwelling adults (3061 females, age: 51.9±18.5 years) from NHANES 2003-2006.
  • Both active (≥150 min/week MVPA) and inactive (<150 min/week MVPA) groups showed p>0.455 for MVPA variability and frailty association.
  • Frailty was measured with a 46-item index based on the deficit accumulation model.
  • Activity variability was measured using average real variability derived from ActiGraph accelerometers.

Higher average MVPA was associated with lower frailty in both active and inactive adults.

  • In active adults (≥150 min/week MVPA), higher average MVPA was associated with lower frailty (β=-0.0002, p=0.02).
  • In inactive adults (<150 min/week MVPA), the association was stronger (β=-0.0036, p<0.001).
  • This finding held regardless of activity guideline adherence status.

Higher stationary time variability was associated with higher frailty in both stationary and non-stationary populations.

  • Stationary adults were defined as those spending ≥8 hours/day stationary; non-stationary as <8 hours/day.
  • The association between stationary time variability and higher frailty was significant in both groups (both p<0.001).
  • However, these associations became non-significant when variability was expressed as a percentage of accelerometer wear time (both p>0.741).
  • This suggests the raw variability associations may be confounded by total accelerometer wear time.

Lower average stationary time was associated with lower frailty in both non-stationary and stationary adults, even after accounting for wear time.

  • This association remained significant after accounting for accelerometer wear time (p<0.001).
  • The finding applied to both the stationary (≥8 hours/day) and non-stationary (<8 hours/day) populations.
  • This contrasts with the stationary time variability findings, which became non-significant after wear time adjustment.

After accounting for accelerometer wear time, neither MVPA nor stationary time variability were associated with frailty.

  • MVPA variability associations were non-significant (p>0.455) in both active and inactive groups.
  • Stationary time variability associations became non-significant when expressed as a percentage of wear time (p>0.741).
  • The study was cross-sectional, using NHANES 2003-2006 data, which limits causal inference.
  • The authors conclude that overall activity volume, rather than day-to-day accumulation patterns, may be more relevant to frailty.

The study tested the hypothesis that variability in physical activity would have opposing associations with frailty depending on whether individuals met activity or stationary time guidelines.

  • The hypothesis was that greater variability in MVPA and stationary time would be associated with lower frailty among inactive and stationary adults.
  • Conversely, greater variability was hypothesized to be associated with higher frailty among active and non-stationary adults.
  • This hypothesis was not supported by the findings after accounting for wear time.
  • Sample included 5945 community-dwelling adults from a cross-sectional analysis of NHANES 2003-2006.

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Citation

Shivgulam M, Theou O, O'Brien M. (2026). Association between physical activity and stationary time variability and frailty in adults meeting and not meeting activity guidelines.. Archives of gerontology and geriatrics. https://doi.org/10.1016/j.archger.2026.106215