Dynamic Gait Index

NewsBot · Nov 1, 2013

Members do not see these Ads. Sign Up.
Expanding the Scoring System for the Dynamic Gait Index
Anne Shumway-Cook, Catherine S. Taylor, Patricia Noritake Matsuda, Michael T. Studer and Brady K. Whetten
Physical Therapy November 2013 vol. 93 no. 11 1493-1506

Background The Dynamic Gait Index (DGI) measures the capacity to adapt gait to complex tasks. The current scoring system combining gait pattern (GP) and level of assistance (LOA) lacks clarity, and the test has a limited range of measurement.

Objective This study developed a new scoring system based on 3 facets of performance (LOA, GP, and time) and examined the psychometric properties of the modified DGI (mDGI).

Design A cross-sectional, descriptive study was conducted.

Methods Nine hundred ninety-five participants (855 patients with neurologic pathology and mobility impairments [MI group] and 140 patients without neurological impairment [control group]) were tested. Interrater reliability was calculated using kappa coefficients. Internal consistency was computed using the Cronbach alpha coefficient. Factor analysis and Rasch analysis investigated unidimensionality and range of difficulty. Internal validity was determined by comparing groups using multiple t tests. Minimal detectable change (MDC) was calculated for total score and 3 facet scores using the reliability estimate for the alpha coefficients.

Results Interrater agreement was strong, with kappa coefficients ranging from 90% to 98% for time scores, 59% to 88% for GP scores, and 84% to 100% for LOA scores. Test-retest correlations (r) for time, GP, and LOA were .91, .91, and .87, respectively. Three factors (time, LOA, GP) had eigenvalues greater than 1.3 and explained 79% of the variance in scores. All group differences were significant, with moderate to large effect sizes. The 95% minimal detectable change (MDC95) was 4 for the mDGI total score, 2 for the time and GP total scores, and 1 for the LOA total score.

Limitations The limitations included uneven sample sizes in the 2 groups. The MI group were patients receiving physical therapy; therefore, they may not be representative of this population.

Conclusions The mDGI, with its expanded scoring system, improves the range, discrimination, and facets of measurement related to walking function. The strength of the psychometric properties of the mDGI warrants its adoption for both clinical and research purposes.
Click to expand...

Admin2 · Nov 1, 2013

Related Thread:
Gait impairment in multiple sclerosis

NewsBot · Jul 1, 2014

Evidence for the Validity of the Modified Dynamic Gait Index Across Diagnostic Groups
Patricia Noritake Matsuda, Catherine S. Taylor and Anne Shumway-Cook
Physical Therapy July 2014 vol. 94 no. 7 996-1004

Background The modified Dynamic Gait Index (mDGI) measures the capacity to adapt gait to complex tasks utilizing 8 tasks and 3 facets of performance. The measurement stability of the mDGI in specific diagnostic groups is unknown.

Objective This study examined the psychometric properties of the mDGI in 5 diagnostic groups.

Design This was a cross-sectional, descriptive study.

Methods A total of 794 participants were included in the study: 140 controls, 239 with stroke, 140 with vestibular dysfunction, 100 with traumatic brain injury, 91 with gait abnormality, and 84 with Parkinson disease. Differential item functioning analysis was used to examine the comparability of scores across diagnoses. Internal consistency was computed using Cronbach alpha. Factor analysis was used to examine the factor loadings for the 3 performance facet scores. Minimal detectable change at the 95% confidence level (MDC95%) was calculated for each of the groups.

Results Less than 5% of comparisons demonstrated moderate to large differential item functioning, suggesting that item scores had the same order of difficulty for individuals in all 5 diagnostic groups. For all 5 patient groups, 3 factors had eigenvalues >1.0 and explained 80% of the variability in scores, supporting the importance of characterizing mobility performance with respect to time, level of assistance, and gait pattern.

Limitations There were uneven sample sizes in the 6 groups.

Conclusions The strength of the psychometric properties of the mDGI across the 5 diagnostic groups further supports the validity and usefulness of scores for clinical and research purposes. In addition, the meaning of a score from the mDGI, regardless of whether at the task, performance facet, or total score level, was comparable across the 5 diagnostic groups, suggesting that the mDGI measured mobility function independent of medical diagnosis.
Click to expand...

NewsBot · Jul 26, 2023

The gait abnormality index: A summary metric for three-dimensional gait analysis
Ben Langley, Matt Greig
Gait & Posture; Volume 105, September 2023, Pages 87-91

Highlights
●The Gait Abnormality Index provides a valid summary gait metric.
●The Gait Abnormality Index provides a reliable summary gait metric.
●The Gait Abnormality Index provides a sensitive summary gait metric.
Click to expand...

Background
This paper proposes an easy to calculate and adaptable summary gait metric, the Gait Abnormality Index (GAI), which is capable of simultaneously including kinematic and kinetic data, overcoming a key limitation of existing metrics.

Research question
To determine the validity, reliability and sensitivity of the GAI.

Methods
The GAI is calculated by averaging Gait Abnormality Scores, which are normalised distance metrics used to describe the deviation of pathological gait data from that of healthy controls. Validity was assessed using Pearson’s correlation analysis to explore relationships between the GAI and the Gait Profile Score. Test-retest reliability of the GAI was assessed using intra-class correlation coefficients (ICC) and standard error of the measurement (SEM), and data from total hip arthroplasty patients. An independent samples t-test was used to compare GAI scores between knee osteoarthritis and total hip arthroplasty patients to explore the metrics sensitivity.

Results
A strong positive correlation (r ≥ 0.896; p < 001) was reported between the GAI and the Gait Profile Score. Good test-retest reliability (ICC =0.830) was reported for the GAI. Knee osteoarthritis patients displayed significantly (p = .017; Hedge’s g effect size = 0.98) greater GAI scores compared to total hip arthroplasty patients, with the mean difference (0.34 a.u) above the SEM (0.15 a.u).

Significance
The GAI offers an easy to calculate summary metric for three-dimensional gait analysis, which displays good validity and reliability, and is sensitive to different pathological conditions.
Click to expand...

Dynamic Gait Index

NewsBot The Admin that posts the news.

Admin2 Administrator Staff Member

NewsBot The Admin that posts the news.

NewsBot The Admin that posts the news.

Dynamic gait stability index based on plantar pressures and fuzzy logic

The role of hemodynamic shear stress in healing chronic wounds

Dynamic Foot Classification

Heel's Dissipative Energetic Behavior Affect Its Thermodynamic Responses During Walking

Dynamic Stability in Runners with and without Plantar Fasciitis

Dynamic foot morphology

Silicon Dynamic orthotics

Share This Page

Dynamic Gait Index

NewsBot The Admin that posts the news.

Admin2 Administrator Staff Member

NewsBot The Admin that posts the news.

NewsBot The Admin that posts the news.

Dynamic gait stability index based on plantar pressures and fuzzy logic

The role of hemodynamic shear stress in healing chronic wounds

Dynamic Foot Classification

Heel's Dissipative Energetic Behavior Affect Its Thermodynamic Responses During Walking

Dynamic Stability in Runners with and without Plantar Fasciitis

Dynamic foot morphology

Silicon Dynamic orthotics

Share This Page

Useful Searches