Gudrun M. Johansson
Umeå University
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Featured researches published by Gudrun M. Johansson.
Disability and Rehabilitation | 2012
Gudrun M. Johansson; Charlotte Häger
Purpose: To investigate inter-rater reliability of the Motor Evaluation Scale for Upper Extremity in Stroke patients (MESUPES), to provide estimates of the minimal detectable change (MDC) of the MESUPES and to investigate concurrent validity in relation to the arm scores of the Modified Motor Assessment Scale (M MAS). Methods: Forty-two stroke patients (mean age 56 ± 12 years) were independently assessed within a 48-hours window by two raters in different pairs (total available raters = 4). Results: Weighted κ analysis indicated good to very good agreement at item level (range 0.63–0.96). The relative and absolute reliability of the total score of MESUPES (maximum 58) was high according to the intraclass correlation coefficients (ICC = 0.98) and the standard error of measurement (SEM = 2.68). The MDC for three levels of confidence was calculated: A score change of 8, 7 and 5 is necessary for a MDC to have confidence of 95%, 90% and 80%, respectively, of a genuine change. Correlation between the MESUPES and M MAS was high (rs = 0.87). Conclusions: The MESUPES shows high inter-rater reliability, and our study provides useful estimates of MDC for different levels of certainty. Additional research to confirm concurrent validity and to examine other psychometric properties of the MESUPES such as sensitivity is needed. Implications for Rehabilitation This study shows that the Motor Evaluation Scale for Upper Extremity in Stroke patients (MESUPES) has high absolute and relative reliability. The MESUPES is suggested to be a useful tool to evaluate quality of movement in the upper extremity of stroke patients.
Gait & Posture | 2014
Gudrun M. Johansson; Gunilla E. Frykberg; Helena Grip; Eva W. Broström; Charlotte Häger
The purpose of the study was to apply the Arm Posture Score (APS) to a stroke population, since comprehensive measures to quantify arm swing in the affected and non-affected arms during gait are lacking. A further aim was to investigate how gait speed and upper limb function estimated by clinical measures are related to the APS in the stroke group. The APS is the summarized root mean square deviation (RMSD) from normal, based on kinematics. Four arm movements (sagittal and frontal planes) as well as six arm movements (incorporating transversal plane) were included in the calculation of APS, referred to as APS4 and APS6, respectively. The study population consisted of 25 persons with stroke and 25 age- and gender-matched controls. The APS measures were significantly different between the affected and non-affected arms, as well as between the affected arm and the non-dominant arm of the controls (p≤0.001). Spasticity significantly influenced both APS measures, while speed only had a significant effect on the APS4. The APS measures correlated significantly to clinical measures of upper limb function. Both APS measures seem to be useful indices to quantify and discriminate between impaired and normal arm swing during gait after stroke. The variability of rotational arm movements needs to be studied further before considering the additional value of the APS6 over the APS4. When interpreting the APS, complementary kinematics should be taken into account, as the single value of the APS gives no information about the direction of the deviation.
Gait & Posture | 2014
Gunilla E. Frykberg; Gudrun M. Johansson; Lina Schelin; Charlotte Häger
In 3D gait analysis, quantification of leg movements is well established, whereas a measure of arm swing has been lacking. Recently, the Arm Posture Score (APS) was introduced to characterize arm movements in children with cerebral palsy, including information from four variables (APS4) in the sagittal and frontal planes. A potential limitation of the APS is that it does not include rotational movements and has not yet been evaluated with regard to gait speed. The aims of this study were (i) to investigate the effect on APS of adding two components of arm rotation (APS6) and (ii) to determine the influence of gait speed on the APS measures, when applied to non-disabled adults. Forty-two subjects walked 10 m at a self-selected speed (1.34 m/s), and in addition a subgroup of 28 subjects walked at a slow speed (0.66 m/s) set by a metronome. Data were collected from markers in a whole-body set up and by eight optoelectronic cameras. The results demonstrated significantly higher APS6 than APS4 values for both arms, irrespective of gait speed. Speed condition, whether self-selected or slow, had a significant effect on both APS measures. The two additional arm components are suggested to provide relevant information about arm swing during walking. However, APS6 needs to be implemented in gait analysis of individuals with gait arm pathologies in order to further examine its utility. We recommend that gait speed should to be taken into account when using APS measures to quantify arm swing during gait.
Archive | 2015
Gudrun M. Johansson
Journal of Neuroengineering and Rehabilitation | 2017
Gudrun M. Johansson; Helena Grip; Mindy F. Levin; Charlotte Häger
Archive | 2015
Gudrun M. Johansson; Helena Grip; Charlotte Häger
Archive | 2015
Gudrun M. Johansson; Helena Grip; Mindy F. Levin; Charlotte Häger
Gait & Posture | 2015
Gudrun M. Johansson; Helena Grip; Charlotte Häger
23rd Annual Meeting of the European Society of Movement analysis in Adults and Children (ESMAC), RomeSept 29 - Oct 4 | 2014
Gudrun M. Johansson; Helena Grip; Charlotte Häger
Gait & Posture | 2013
Gunilla E. Frykberg; Gudrun M. Johansson; Helena Grip; Jonas Selling; Charlotte Häger