Test-retest reliability and variability of self-reported normal treadmill walking speeds in adults aged 20-80 years old
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View abstract on PubMed
Summary
This summary is machine-generated.Self-reported normal walking speeds on a treadmill show good reliability, but variability increases with age. This research quantifies speed reliability and variability in adults aged 20-80.
Area Of Science
- Biomechanics and Motor Control
- Gerontology
- Clinical Gait Analysis
Background
- Overground walking speed exhibits high reliability.
- Limited data exists on the test-retest reliability and variability of self-reported treadmill walking speeds.
- Existing research on age-related variability in walking speed presents conflicting findings.
Purpose Of The Study
- To assess the intra-session test-retest reliability and variability of self-reported normal walking speeds during a treadmill protocol.
- To examine how these measures change across different adult age groups (20-80 years).
Main Methods
- Collected self-reported normal treadmill walking speeds from 59 participants (aged 20-80) in two separate bouts within a single session.
- Utilized intraclass correlation coefficients (ICC), standard errors of measurement (SEM), and Bland-Altman plots to analyze reliability and variability.
- Stratified analysis by age decade to identify age-related differences.
Main Results
- Generally good to excellent reliability (ICCs ≥ 0.80) was observed, with SEMs ≤ 0.45 km/h and ≤ 12%.
- The greatest variation in speeds was associated with the first and last self-reported speeds in each set.
- Older adult groups exhibited lower reliability and higher variability compared to middle-aged groups, with the youngest group also showing low reliability.
Conclusions
- The study provides insights into the reliability and variability of self-reported treadmill walking speeds, including their patterns and sources.
- Age and walking speed appear to influence the reliability and variability of these self-reported speeds.
- Findings are valuable for research and clinical applications requiring reliable normal walking speed identification while minimizing time.
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