4.5 Article

Stance time and step width variability have, unique contributing impairments in older persons

Journal

GAIT & POSTURE
Volume 27, Issue 3, Pages 431-439

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.gaitpost.2007.05.016

Keywords

gait variability; central nervous system impairment; sensory impairment; age

Funding

  1. NHLBI NIH HHS [N01 HC-55222, N01-HC-75150, N01 HC085081, U01 HL080295, N01 HC035129, N01 HC075150, N01-HC-85081, N01 HC015103, N01 HC085083, N01 HC045133, U01 HL080295-01, N01 HC085079, N01 HC055222, N01-HC-85083, N01 HC085080, N01-HC-85082, N01 HC085082, N01-HC-85080, N01 HC085084, N01HC75150, N01HC85086, N01-HC-85086, N01HC55222, N01-HC-85079, N01HC85079, N01 HC085085] Funding Source: Medline
  2. NIA NIH HHS [TG32 AG00181, K23 AG026766-02, T32 AG000181-09, P30 AG024827, P30 AG024827-01, K23 AG026766-03, K23 AG026766-01, TG 32AG00181, T32 AG000181, K23 AG026766] Funding Source: Medline

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Gait variability may have multiple causes. We hypothesized that central nervous system (CNS) impairments would affect motor control and be manifested as increased stance time and step length variability, while sensory impairments would affect balance and be manifested as increased step width variability. Older adults (mean +/- standard deviation (S.D.) age = 79.4 +/- 4. 1, n = 558) from the Pittsburgh site of the Cardiovascular Health Study participated. The S.D. across steps was the indicator of gait variability, determined for three gait measures, step length, stance time and step width, using a computerized walkway. Impairment measures included CNS function (modified mini-mental state examination, Trails A and B, Digit Symbol Substitution, finger tapping), sensory function (lower extremity (LE) vibration, vision), strength (grip strength, repeated chair stands), mood, and LE pain. Linear regression models were fit for the three gait variability characteristics using impairment measures as independent variables, adjusted for age, race, gender, and height. Analyses were repeated stratified by gait speed. All measures of CNS impairment were directly related to stance time variability (p < 0.01), with increased CNS impairment associated with increased stance time variability. CNS impairments were not related to step length or width variability. Both sensory impairments were inversely related to step width (p < 0.01) but not step length or stance time variability. CNS impairments affected stance time variability especially in slow walkers while sensory impairments affected step width variability in fast walkers. Specific patterns of gait variability may imply different underlying causes. Types of gait variability should be specified. Interventions may be targeted at specific types of gait variability. (C) 2007 Elsevier B.V. All rights reserved.

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