2003
DOI: 10.1016/s0966-6362(02)00062-0
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Normalisation of gait data in children

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Cited by 109 publications
(78 citation statements)
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“…Previous studies of normalized step length in infants relied on averaged data and reported values below 1.0 (e.g., Chang, Kubo, Buzzi, & Ulrich, 2006;Ivanenko, Dominici, Cappellini, & Lacquaniti, 2005;Scrutton, 1969). Normalized steps larger than leg length were deemed possible only in supported infant walking (Ivanenko et al, 2005) and in older children (Stansfield et al, 2003). Comparisons cannot be made with studies normalizing step length by height (e.g., Brenière & Bril, 1998) because the ratio of leg length to height varies across individuals (Stansfield et al, 2003).…”
Section: Resultsmentioning
confidence: 77%
See 1 more Smart Citation
“…Previous studies of normalized step length in infants relied on averaged data and reported values below 1.0 (e.g., Chang, Kubo, Buzzi, & Ulrich, 2006;Ivanenko, Dominici, Cappellini, & Lacquaniti, 2005;Scrutton, 1969). Normalized steps larger than leg length were deemed possible only in supported infant walking (Ivanenko et al, 2005) and in older children (Stansfield et al, 2003). Comparisons cannot be made with studies normalizing step length by height (e.g., Brenière & Bril, 1998) because the ratio of leg length to height varies across individuals (Stansfield et al, 2003).…”
Section: Resultsmentioning
confidence: 77%
“…Normalized steps larger than leg length were deemed possible only in supported infant walking (Ivanenko et al, 2005) and in older children (Stansfield et al, 2003). Comparisons cannot be made with studies normalizing step length by height (e.g., Brenière & Bril, 1998) because the ratio of leg length to height varies across individuals (Stansfield et al, 2003). The traditional reliance on averaged data overshadowed infants' potential to demonstrate performance requiring advanced balance control and strength.…”
Section: Resultsmentioning
confidence: 99%
“…First, measures related to growth and development were scaled to account for differences in age and physical body size in accordance with established nondimensional normalization principles. 18 Second, Pearson correlation coefficients were computed to examine associations between the 7 categories of standardized measures with QOL domains. Third, all measures identified as significantly associated with QOL domains were entered simultaneously into a stepwise multiple regression model that was reduced to a most parsimonious model to yield a set of variables that best predict (and can be regarded as independent determinants of) each outcome.…”
Section: 13mentioning
confidence: 99%
“…This one-dimensional measure of walking performance is useful for classifying and evaluating gait performance in clinical practice; however, it does not explain the nature or source of atypical gait. In addition, comparison of gait variables with a reference population without controlling for stature (or leg length) and body weight might obscure deviations and lead to imprudent conclusions, since the walking pattern is highly dependent on anthropometrical characteristics (Hof, 1996;Stansfield et al, 2003). Therefore, to gain insight into the gait pattern of children with DCD, more detailed and quantitative data are needed.…”
mentioning
confidence: 99%