Research of Anaerobic Power Evaluation in Stroke Patients with Hemiplegia
| Project/Area Number |
15300190
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Hirosaki University |
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Principal Investigator |
IWATA Manabu Hirosaki University, School of Medicine, Professor, 医学部, 教授 (80232685)
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| Co-Investigator(Kenkyū-buntansha) |
FUJITA Toshifumi Hirosaki University, School of Medicine, Assistant, 医学部, 助手 (60431441)
近藤 和泉 弘前大学, 医学部附属病院, 助教授 (50215448)
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| Project Period (FY) |
2003 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥6,300,000 (Direct Cost: ¥6,300,000)
Fiscal Year 2006: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2005: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2004: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2003: ¥4,400,000 (Direct Cost: ¥4,400,000)
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| Keywords | Stroke / Hemiplegia / Anaerobic power / Wingate test |
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| Research Abstract |
We developed the Wingate test using Strength Ergo for patients with hemiplegia. We examined reliability of the test, and studied the relationship between their short-term performance and anaerobic power (validity of the test).
The subjects were twenty-one stroke patients with hemiplegia. The test, which was developed for hemiplegia, consisted of six seconds under ramp load and the subsequent three seconds under isotonic constant load, nine seconds in total. After two tests, we computed the intraclass correlation coefficient in order to examine reproducibility of mean power during the three seconds under constant load, six to nine seconds from the start of the test. The resulting ICC (1,1) was 0.97.
We next performed a stepwise-multiple regression analysis and attempted to develop a regression model that would enable us to obtain a more accurate optimum load. Our criterion variable was the load set at 1.1 times the load achieved by each subject at the end of the six seconds under ramp loa
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d, and we had 13 items as our predictor variables. As a result of the analysis, we found that, as our choice of predictor, peak torque during leg extension on the non-paralyzed side measured by Strength Ergo was statistically significant at P<0.0001, with the coefficient of determination R^2=0.718. We then focused on the association between the two variables, set load and peak torque during leg extension on the non-paralyzed side, in order to obtain a regression equation that would give us the best fit, and discovered that a quadratic regression equation would be the best fit when deriving the optimum set load (y) from peak torque during leg extension on the non-paralyzed side (x). The relationship is expressed by the following equation: y=4.003+0.045x+0.002x^2 (the coefficient of determination, R^2=0.748).
We also examined the relationship between short-term performance and anaerobic power with eleven subjects. The mean time for five successive stand-ups was 7.2±1.8 seconds whose correlation with mean power was r=-0.659, which was statistically significant at P=0.025. On the other hand, the mean 10 meter walking time at maximum velocity was 9.8± 7.6 seconds whose correlation with mean power was r=-0.295, which was not statistically significant at P=0.389. Less
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Report
(5 results)
Research Products
(3 results)
