Original article
The Reliability and Validity of Measures of Gait Variability in Community-Dwelling Older Adults

Presented at the International Society for Posture and Gait Research, Burlington, VT, July 14–18, 2007.
https://doi.org/10.1016/j.apmr.2008.06.010Get rights and content

Abstract

Brach JS, Perera S, Studenski S, Newman AB. The reliability and validity of measures of gait variability in community-dwelling older adults.

Objective

To examine the test-retest reliability and concurrent validity of variability of gait characteristics.

Design

Cross-sectional study.

Setting

Research laboratory.

Participants

Older adults (N=558) from the Cardiovascular Health Study.

Interventions

Not applicable.

Main Outcome Measures

Gait characteristics were measured using a 4-m computerized walkway. SD determined from the steps recorded were used as the measures of variability. Intraclass correlation coefficients (ICC) were calculated to examine test-retest reliability of a 4-m walk and two 4-m walks. To establish concurrent validity, the measures of gait variability were compared across levels of health, functional status, and physical activity using independent t tests and analysis of variances.

Results

Gait variability measures from the two 4-m walks demonstrated greater test-retest reliability than those from the single 4-m walk (ICC=.22–.48 and ICC=.40–.63, respectively). Greater step length and stance time variability were associated with poorer health, functional status and physical activity (P<.05).

Conclusions

Gait variability calculated from a limited number of steps has fair to good test-retest reliability and concurrent validity. Reliability of gait variability calculated from a greater number of steps should be assessed to determine if the consistency can be improved.

Section snippets

Study Sample

Gait characteristics were assessed in ambulatory older adults from the Pittsburgh site of the CHS at the tenth follow-up visit (between 1998 through 1999). CHS is a population-based, ongoing longitudinal multicenter study of coronary heart disease and stroke risk in community-dwelling older adults age 65 years and older.14, 15 At the initiation of the CHS in 1989 through 1990, individuals were identified from the Health Care Financing Administration sampling frame. Individuals who were 65 years

Results

Table 1 provides the participant characteristics. The mean age of the sample was 79.4 years. Approximately 18% of the sample reported having fallen in the previous year and only a small percentage of the participants (<10%) used a cane for ambulation. On average the participants demonstrated a mean gait speed that was slightly less than the desired gait speed of 1.2m.21, 22, 23, 24

The gait variability measures from the two 4-meter walks demonstrated greater test-retest reliability than those

Discussion

Gait variability calculated from a limited number of steps measured using a computerized walkway has poor to good test-retest reliability. Step length and stance time variability seem to be more consistent measures than step width variability. This is consistent with a model proposed by Gabell and Nayak.25 They hypothesize that the variability in step width, an indicator of balance control, is a reflection of the adaptive power of the balance system, necessary for maintaining balance. This

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      Second, it is possible that the gait cycle was not sufficient for calculating STV. In a previous study, the test–retest reliability of STV determined using 12 gait cycles was reported as an ICC = 0.40–0.63 (Brach et al., 2008). However, one study used a maximum of 42 gait cycles to calculate STV (Balasubramanian et al., 2009b).

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    Supported by the National Institutes of Health Public Health Service (grant no. TG32 AG00181) and the National Institutes of Health contracts (grant no. N01-HC-75150, N01-HC-45133, N01-HC-85079 through 85085, and HL 87079 through 87086); and the University of Pittsburgh Older American's Independence Center (grant no. P30 AG024827); the National Institutes of Health Public Health Service (grant no. TG32 AG00181); a National Institutes on Aging and American Federation of Aging Research Paul Beeson Career Development Award (grant no. K23 AG026766). The sponsor had no direct role in the design, methods, subject recruitment, data collection, analysis, or preparation of the manuscript.

    No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.

    Reprints are not available from the author.

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