Construct Validity of the Trunk Impairment Classification System in Relation to Objective Measures of Trunk Impairment

Altmann, Viola C.; Groen, B.E.; Groenen, Karlijn H. J.; Vanlandewijck, Yves; Limbeek, Jacques van; Keijsers, Noël L.W.

doi:10.1016/j.apmr.2015.10.096

Cited by 24 publications

(25 citation statements)

References 35 publications

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“…Each of these types of trunk impairment can be objectively measured by a combination of static and dynamic sitting balance tests and a test for trunk muscle strength (Figure , step 2a). In a previous study, trunk muscle strength appeared to be a prerequisite to sit unsupported, and impairment in trunk strength was the only type that could be measured in all athletes within the complete spectrum of trunk impairment severity …”

Section: Introductionmentioning

confidence: 90%

“…For the maximum isometric trunk muscle strength test, we used the same protocol as in a previous study . Athletes were seated on a height adjustable plinth with their legs strapped to the plinth at the level of the hips, thighs, and ankles.…”

Section: Methodsmentioning

confidence: 99%

“…The relationships were assessed between strength and activity in the most relevant direction per activity to prevent a type I error and because directions in strength are highly related but then may vary depending on etiology . Based on previous research, the forward direction is most relevant for acceleration and sprint momentum.…”

Section: Methodsmentioning

confidence: 99%

“…To support the concept of “natural classes,” at least one cut‐point in performance with a minimum decrease in impairment severity is expected in one of the most important impairment types. To maximize the chance of finding such a cut‐point, we assessed trunk muscle strength, the trunk impairment type that is most prevalent in wheelchair rugby athletes and can be measured for the whole spectrum of severity, ranging from no impairment to the most severe impairment . The wheelchair activities assessed are the ones that showed the strongest relationship with trunk impairment: acceleration in the first meter, impulse of a hit, and tilting the chair .…”

Section: Introductionmentioning

confidence: 99%

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Classifying trunk strength impairment according to the activity limitation caused in wheelchair rugby performance

Altmann

Groen

Hart

et al. 2017

Scandinavian Med Sci Sports

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International Federations in Paralympic sports should develop evidence-based classification, based on the relative strength of association between impairment and activities that determine sport-specific performance. The purpose of the current study was to assess the relationship between trunk strength impairment and three activities that determine performance in wheelchair rugby, and to determine whether this relationship supports the concept of "natural classes." Trunk muscle strength and three determinants of performance were assessed in 27 athletes. The correlations between lateral trunk muscle strength and the determinant tilting the chair, and between forward trunk muscle strength and the determinants 1 m acceleration and sprint momentum were calculated. To group athletes based on impairment, K-means cluster analysis was used to group athletes according to how much trunk muscle strength affected the activities. There were significant, moderate to strong correlations between left-right strength and chair tilting (r=.50), between forward strength and 1 m acceleration (r=.59), and between forward strength and sprint momentum (r=.79). Cluster analysis indicated at least one cut-point in performance with a decrease in impairment in all three wheelchair activities, supporting the concept of "natural classes."

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Section: Introductionmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Classifying trunk strength impairment according to the activity limitation caused in wheelchair rugby performance

Altmann

Groen

Hart

et al. 2017

Scandinavian Med Sci Sports

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“…Trunk coordination is an important aspect of trunk strength [27,28] and has been intensively studied in low back pain research [2,[5][6][7][10][11][12][13][14][15]. Different types of coordination have been investigated in previous studies, including headtrunk coordination [9], arm-trunk coordination [8], trunkpelvis coordination [11,13,15], and trunk-lower limb coordination [29].…”

Section: Trunk Coordinationmentioning

confidence: 99%

A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices

Liang¹,

Yoshida²,

Iino³

et al. 2018

EAI Endorsed Trans Perv Health Tech

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Assessing trunk coordination has many potential applications in health promotion. However, traditional bio-mechanical approaches are not suited for daily use as they require expensive devices and manual analysis. This study aimed to develop an approach for automatic classification of good and poor trunk coordination using widely available mobile devices. We investigated different combinations of sensor locations (i.e. chest and pelvis), sensing modalities (i.e. accelerometer and gyroscope) and classification techniques (i.e. SVM, KNN, and decision tree). Results showed that using both sensing modalities at chest and pelvis with SVM produced the best classification accuracy: 96% for chest rotation and 100% for pelvis rotation. In practice, however, using one device with both sensing modalities (i.e. accelerometer and gyroscope) will achieve a better trade-off between feasibility and accuracy. In this case, the device should be fixed on the chest. KNN should be selected as the classification technique for chest rotation (best accuracy 95%), and SVM should be selected as the classification technique for pelvis rotation (best accuracy 79%). Post hoc analysis found that poor coordination during chest rotation was associated to weak cross-correlation of angular velocity between chest and pelvis in the frontal plane, while poor coordination during pelvis rotation was associated to weak correlations of angular velocity between the three orthogonal components at chest. This study demonstrated how simple mobile devices can capture relevant motion data and extract key features that help construct computational models for automatic assessment of trunk coordination.

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Paralympic Sport

Tuakli‐Wosornu¹,

Doolan²,

Lexell³

2019

The Sports Medicine Physician

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Construct Validity of the Trunk Impairment Classification System in Relation to Objective Measures of Trunk Impairment

Cited by 24 publications

References 35 publications

Classifying trunk strength impairment according to the activity limitation caused in wheelchair rugby performance

Classifying trunk strength impairment according to the activity limitation caused in wheelchair rugby performance

A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices

Paralympic Sport

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