| Literature DB >> 24224163 |
Małgorzata Domagalska-Szopa1, Andrzej Szopa.
Abstract
Patients with unilateral cerebral palsy (CP) often have impaired movement coordination, reduced between-limb synchronization, and less weight bearing on the affected side, which can affect the maintenance of an upright weight-bearing position and gait. This study evaluated whether the different postural patterns of children with unilateral CP could be statistically recognized using cluster analysis. Forty-five outpatients with unilateral CP (mean age, 9 years and 5 months) and 51 able-bodied children with mild scoliosis (mean age, 9 years and 2 months) were included. One observer performed moiré topography (MT) examinations using a CQ Electronic System (Poland) device. A weight distribution analysis on the base of support (BOS) between the body sides was performed simultaneously. A force plate dynamographic platform (PDM), ZEBRIS (Germany), with FootPrint software was used for these measurements. Cluster analysis revealed three groups: Cluster 1 (n = 71, 73.96%), Cluster 2 (n = 8, 8.33%), and Cluster 3 (n = 17, 17.71%). Based on the MT parameters (extracted using a data reduction technique), three typical asymmetrical postural patterns were described: (1) the postural pattern of children with mild scoliosis (SCOL), (2) the progravitational postural pattern (PGPP), and (3) the antigravitational pattern. Patterns two and three were identified in children with unilateral CP.Entities:
Mesh:
Year: 2013 PMID: 24224163 PMCID: PMC3810063 DOI: 10.1155/2013/462094
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Surface topography parameter settings.
Parameter descriptions.
| MT parameter | Cluster | Mean |
| Std deviation | Minimum | Maximum |
|---|---|---|---|---|---|---|
| SP (°) | 1 | 1.5 | 71 | 4.0 | −4.2 | 13.4 |
| 2 | −3.4 | 8 | 5.3 | −11.9 | 3.6 | |
| 3 | −5.4 | 17 | 5.0 | −11.3 | 3.5 | |
| Total | −0.1 | 96 | 5.1 | −11.9 | 13.4 | |
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| PL (°) | 1 | −1.7 | 71 | 5.1 | −13.9 | 10.6 |
| 2 | 7.6 | 8 | 3.9 | 2.1 | 13.1 | |
| 3 | 10.2 | 17 | 3.3 | 2.4 | 14.3 | |
| Total | 1.2 | 96 | 6.8 | −13.9 | 14.3 | |
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| SHR (°) | 1 | 1.1 | 71 | 9.1 | −20.9 | 18.0 |
| 2 | 1.3 | 8 | 11.8 | −16.6 | 15.9 | |
| 3 | −11.6 | 17 | 10.9 | −31.0 | 2.2 | |
| Total | −1.1 | 96 | 10.8 | −31.0 | 18.0 | |
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| 1 | −9.5 | 71 | 5.9 | −17.6 | 11.2 |
| 2 | 8.9 | 8 | 8.1 | −1.5 | 18.5 | |
| 3 | 7.9 | 17 | 4.3 | 2.8 | 15.1 | |
| Total | −1.9 | 96 | 8.4 | −17.6 | 18.5 | |
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| ALC (°) | 1N | 162.9 | 71 | 4.4 | 168.4 | 156.0 |
| 2PP | 166.4 | 8 | 3.2 | 180.0 | 170.5 | |
| 3AP | 176.2 | 17 | 3.7 | 180.0 | 164.5 | |
| Total | 176.6 | 96 | 5.5 | 180.0 | 156.0 | |
MT: moiré topography; SP: spinous process line; PL: pelvic line; SHR: angle of shoulder rotation; D max: the maximum of the horizontal distances measured from the vertical line to the spinous process line; ALC: angle of the vertebral lateral curvature.
Results of analysis of variance (ANOVA). Differences between the means of various clusters for MT parameters.
| MT parameter | Groups | Sum of squares | df | Mean square |
|
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|---|---|---|---|---|---|---|
| SP | Between | 743.90 | 2 | 18.61 | 19.99 | 0.00000 |
| Within | 371.95 | 93 | ||||
| Total | 1730.62 | 95 | ||||
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| PL | Between | 2318.34 | 2 | 22.80 | 50.84 | 0.00000 |
| Within | 1159.17 | 93 | ||||
| Total | 2120.50 | 95 | ||||
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| SHR | Between | 2270.67 | 2 | 93.64 | 12.12 | 0.00002 |
| Within | 1135.33 | 93 | ||||
| Total | 8708.94 | 95 | ||||
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| Between | 3500.70 | 2 | 34.56 | 50.64 | 0.00000 |
| Within | 1750.30 | 93 | ||||
| Total | 3214.34 | 95 | ||||
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| ALC | Between | 1684.60 | 2 | 13.34 | 63.15 | 0.00000 |
| Within | 842.30 | 93 | ||||
| Total | 1240.44 | 95 | ||||
MT: moiré topography; SP: spinous process line; PL: pelvic line; SHR: angle of shoulder rotation; D max: the maximum of the horizontal distances measured from the vertical line to the spinous process line; ALC: angle of the vertebral lateral curvature.
Nonhierarchical k means clustering.
| Subgroup | Cluster 1 | Cluster 2 | Cluster 3 | Total | |
|---|---|---|---|---|---|
| NR | ( | 22 | 1 | 0 | 23 |
| (%) | 30.99 | 12.50 | 0.00 | 23.96 | |
| NL | ( | 28 | 0 | 0 | 28 |
| (%) | 39.44 | 0.00 | 0.00 | 29.17 | |
| RR | ( | 13 | 0 | 0 | 13 |
| (%) | 18.31 | 0.00 | 0.00 | 13.54 | |
| RL | ( | 2 | 2 | 12 | 16 |
| (%) | 2.82 | 25.00 | 70.59 | 16.67 | |
| LR | ( | 6 | 0 | 0 | 6 |
| (%) | 8.45 | 0.00 | 0.00 | 6.25 | |
| LL | ( | 0 | 5 | 5 | 10 |
| (%) | 0.00 | 62.50 | 29.41 | 10.42 | |
| Total | ( | 71 | 8 | 17 | 96 |
| (%) | 73.96 | 8.33 | 17.71 | 100.00 | |
Two subgroups of children with scoliosis. NL: the tendency to overload the left body side; NR: the tendency to overload the right body side and four subgroups of children with CP; RR: right side hemiplegic and the tendency to overload the affected body side; RL: right side hemiplegic and the tendency to overload the unaffected body side; LL: left side hemiplegic and the tendency to overload the affected body side; LR: left side hemiplegic and the tendency to overload the unaffected body side.
Summary of the index of asymmetry of weight distribution between right/left body sides in control subjects and the affected/unaffected body sides in children with hemiplegia in particular clusters.
| Cluster | Index of asymmetry | ||||
|---|---|---|---|---|---|
| Mean (%) |
| SD (%) | Minimum (%) | Maximum (%) | |
| Cluster 1 | −1.45 | 51 | 9.83 | −18.00 | 22.00 |
| Cluster 2 | 6.96 | 23 | 28.48 | −38.00 | 48.00 |
| Cluster 3 | −12.25 | 22 | 26.75 | −46.00 | 46.00 |
| Total | −1.91 | 96 | 20.99 | −46.00 | 48.00 |