Normative Data Used in Mobility Lab v2

Data collection was funded by NIH grant 2R01 AG-006457-29

Total of 70 Subjects

Age Range: 20-90 years old

Age Distribution: 10 subjects/decade (5 men, 5 women)

Gender Distribution: 5 men and 5 women per decade

Exclusion Criteria:

  • No walking aides
  • No neurological conditions
  • No musculoskeletal conditions affecting gait
  • No joint replacement within the past year
  • No pain affecting gait
  • BMI < 30
  • No falls in past year
  • No dementia (unable to follow instructions).

Tests Administered

  1. 400m Walk (comfortable speed, 20m corridor, cones at ends, walk clockwise)
  2. Baseline Cognitive task (done while sitting, dual task: alphabet and serial counting)
  3. SAW (7m)
  4. SAW with dual task (7m; serial subtractions by 3’s)
  5. TUG (3m fast as possible)
  6. TUG (3m comfortable speed)
  7. TUG (7m comfortable speed)
  8. Compensatory stepping (backwards)
  9. Walk with dual task (1 min, 20m corridor, comfortable speed, dual task: saying alternate alphabet letters)
  10. 5x Sit-to-Stand (as fast as possible)
  11. 360° Turns in place (fast as possible; 1 turn Right, immediately followed by 1 turn Left)
  12. Sway: Eyes open, firm surface, feet on template
  13. Sway: Eyes open, foam surface, feet on template
  14. Sway: Eyes closed, firm surface, feet on template
  15. Sway: Eyes closed, foam surface, feet on template
  16. Sway: Eyes closed, feet together, firm surface
  17. Sway: Eyes closed, one leg stance, firm surface
  18. Sway: Eyes closed, tandem stance, firm surface
  19. Sway: Eyes open, feet together, firm surface
  20. Sway: Eyes open, semitandem stance, firm surface
  21. Sway: Eyes open, tandem stance, firm surface
  22. 400m Walk (as fast as possible, 20m corridor, cones at ends, walk clockwise)

What Is Reported:

  • In the "in-app" visual report, the normative range that is displayed corresponds to the 5th-95th percentile. This is used because the normative data is often not normally distributed, and using percentiles provides a better representation of the actual range.
  • In the CSV exports, we currently report the mean +/- standard deviation of the normative data. This was largely done because user's of the CSV exports may want to compute the z-score for a particular trial, which cannot be done with the 56h-95th percentile.
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