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Tytuł:
First signs of elderly gait for women
Autorzy:
Kaczmarczyk, Katarzyna
Wiszomirska, Ida
Błażkiewicz, Michalina
Wychowański, Michał
Wit, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2164082.pdf
Data publikacji:
2017-06-27
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
ageing
gait analysis
factor analysis
spatiotemporal parameters
elderly women
normative data
Opis:
Background The aims of this study have been twofold: to attempt to reduce the number of spatiotemporal parameters used for describing gait through the factor analysis and component analysis; and to explore the critical age of decline for other gait parameters for healthy women. Material and Methods A total of 106 women (aged ≥ 40 years old (N = 76) and ≤ 31 years old (N = 30)) were evaluated using a pressure-sensitive mat (Zebris Medical System, Tübingen, Germany) for collecting spatiotemporal gait parameters. Results The factor analysis identified 2 factors – labelled Time and Rhythm – that accounted for 72% of the variation in significant free-gait parameters; the principal component analysis identified 4 of these parameters that permit full clinical evaluation of gait quality. No difference was found between the groups in terms of the values of parameters reflecting the temporal nature of gait (Rhythm), namely step time, stride time and cadence, whereas significant differences were found for total double support phase (p < 0.001). Next, seeking evidence of a critical decline in gait, we selected 3 parameters: total double support, stride time and velocity. We concluded that the women taking part in the experiment manifested significant signs of senile gait after the age of 60 years old, with the first symptoms thereof already manifesting themselves after 50 years of age. Conclusions We show that among 26 spatiotemporal parameters that may be used for characterizing gait, at least a half of them may be omitted in the assessment of gait correctness; a finding that may be useful in clinical practice. The finding that the onset of senile gait occurs in the case of women after the age of 60 years old, in turn, may be useful in evaluating the ability for performing types of physical work that mainly require ambulation. Med Pr 2017;68(4):441–448
Źródło:
Medycyna Pracy; 2017, 68, 4; 441-448
0465-5893
2353-1339
Pojawia się w:
Medycyna Pracy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of the Gait Variability Index for the evaluation of individuals after a stroke
Autorzy:
Guzik, A.
Drużbicki, M.
Przysada, G.
Szczepanik, M.
Bazarnik-Mucha, K.
Kwolek, A.
Powiązania:
https://bibliotekanauki.pl/articles/307461.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
udar
analiza chodu
indeks zmienności chodu
parametry czasoprzestrzenne
stroke
gait analysis
Gait Variability Index
spatiotemporal parameters
Opis:
The Gait Variability Index (GVI) summarizes overall gait quality, taking into account spatiotemporal parameters from a 3-dimensional gait analysis. However, there are no studies evaluating changes in gait patterns after stroke, based on the GVI. The study was designed to assess usefulness of the GVI for evaluation of gait pathology in subjects with stroke, compared to healthy individuals. Methods: Spatiotemporal gait parameters were examined in a group of 50 subjects at a chronic stage post-stroke and in 50 healthy controls. The GVI was calculated based on the 9 spatiotemporal data. Results: The findings show statistically significant differences between the values of the GVI for paretic and non-paretic limbs ( p < 0.001). Higher values of the index were identified in the case of non-paretic limb: 80.74 vs. 76.32. The GVI scores were decreased for both paretic and non-paretic limbs, compared to the controls – p < 0.001. Conclusions: The GDI score seems to be a viable tool for quantifying changes in gait pattern during evaluation of subjects with chronic post-stroke hemiparesis. Further studies should be conducted to validate the use of GVI in the post-stroke population.
Źródło:
Acta of Bioengineering and Biomechanics; 2018, 20, 2; 171-177
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
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