Wu Yu-Kuang, Liu Hsin-Yi, Kelleher Annmarie, Pearlman Jonathan, Ding Dan, Cooper Rory A
a Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System , Pittsburgh , PA , USA.
b Department of Rehabilitation Science and Technology , Veterans Affairs Pittsburgh Healthcare System , Pittsburgh , PA , USA.
J Spinal Cord Med. 2017 Jan;40(1):62-69. doi: 10.1080/10790268.2016.1192360. Epub 2016 Jul 1.
To investigate correlations between power seat functions (PSFs) usage and wheelchair discomfort.
Quasi-experimental design: Time series design.
In-home trial in participants' home/community.
Thirteen power wheelchair users who independently used power wheelchairs equipped with PSFs as their primary means of mobility.
PSF usage variables include the frequency of performing repositioning and using PSFs (tilt, recline, legrests and seat elevation), wheelchair occupancy, and driving distance. The Tool for Assessing Wheelchair disComfort (TAWC) were used to evaluate general discomfort and discomfort intensity.
Spearman correlation coefficient showed that the frequency of using tilt, recline, and legrest is significantly correlated with discomfort intensity. Multiple regression analysis with backward stepwise indicated that these functions can explain 43.8% of the variance (R2 = .438, F(3,33) = 8.588, P < 0.01) in the discomfort intensity score. The best-first decision tree shows that the frequency of using the legrest function was the top node, followed by recline and tilt functions. The overall accuracy of prediction with ten-fold cross validation for discomfort intensity was 79.4%.
For people who used power wheelchairs equipped with PSFs, correlation analysis and regression modeling provided evidence from the quantitative data that increasing the frequency of using PSFs may decrease wheelchair discomfort. Future studies should include interventions to encourage people to use their PSFs appropriately.
探讨电动座椅功能（PSF）的使用与轮椅不适感之间的相关性。
准实验设计：时间序列设计。
在参与者家中/社区进行居家试验。
13名电动轮椅使用者，他们独立使用配备PSF的电动轮椅作为主要出行方式。
PSF使用变量包括重新定位和使用PSF（倾斜、后仰、腿托和座椅抬高）的频率、轮椅占用情况和行驶距离。使用轮椅不适评估工具（TAWC）来评估总体不适感和不适强度。
斯皮尔曼相关系数表明，倾斜、后仰和腿托的使用频率与不适强度显著相关。向后逐步多元回归分析表明，这些功能可以解释不适强度评分中43.8%的方差（R2 = 0.438，F(3,33) = 8.588，P < 0.01）。最佳优先决策树显示，腿托功能的使用频率是首要节点，其次是后仰和倾斜功能。对不适强度进行十折交叉验证的总体预测准确率为79.4%。
对于使用配备PSF的电动轮椅的人，相关性分析和回归建模从定量数据中提供了证据，表明增加PSF的使用频率可能会降低轮椅不适感。未来的研究应包括鼓励人们适当使用PSF的干预措施。
