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Data set of healthy old people assessed for three walking conditions using accelerometric and opto-electronic methods

Aging Clin Exp Res. 2017 Dec;29(6):1201-1209. doi: 10.1007/s40520-017-0730-y. Epub 2017 Feb 28.

Abstract

Background: Gait patterns of healthy aging are needed to allow a comparison with pathological situations. However, little data is available.

Objective: To present gait pattern of healthy older specially selected to be "healthy walkers".

Method: Fifty-seven older people benefited from a geriatric assessment including clinical and functional evaluations to include only those without gait disorders. Gait data were simultaneously recorded using a tri-axial accelerometer placed on the waist and four 3D position markers placed on the feet at the level of the heel and the toe. Volunteers walked at comfortable self-selected speed (CW), fast self-selected speed (FW), and finally in dual task walking condition (DTW). The extracted gait parameters were: gait speed, stride length, stride frequency, regularity and symmetry, swing, stance and double support time and ratio and minimum toe clearance. Gait speed and stride length were normalized to the right leg length.

Results: Fifty-seven older people with a mean age of 69.7 ± 4.2 years old (range from 65 to 82 years) were included. Data were analyzed according to the gender and according to the age (<70 or ≥70 years old). After normalization to leg length, the main significant differences were shown for stride length and minimum toe clearance in CW, FW and in DTW that were shorter in women. The regularity in FW was significantly lower among older volunteers.

Conclusions: This work provides a data set considering 14 gait parameters obtained from 57 healthy old people strictly selected and assessed for three walking conditions and shows that GS, SL and MTC have to be related to the gender. The age-related impact on gait performances appears reduced in this cohort.

Keywords: Accelerometers; Comfortable; Dual task; Fast; Gait; Kinematics; Reference values.

MeSH terms

  • Accelerometry / methods
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Biomechanical Phenomena
  • Female
  • Foot / physiology
  • Gait / physiology*
  • Geriatric Assessment / methods*
  • Health Status
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Leg / physiology
  • Male
  • Prospective Studies
  • Reference Values
  • Sex Factors