Yoon Jung-Gyu, Zarayeneh Neda, Suh Sang C
Department of Physical Therapy, Namseoul University, Republic of Korea.
Department of Computer Science, Texas A&M University-Commerce, USA.
J Phys Ther Sci. 2017 Apr;29(4):613-617. doi: 10.1589/jpts.29.613. Epub 2017 Apr 20.
[Purpose] The purpose of this study is to examine patient preferences for counseling related to sexuality post-stroke in Korea. [Subjects and Methods] A survey was conducted on 200 stroke patients. Among the 200 submitted questionnaires, 156 responded but 147 cases are available. The questionnaire is composed of 27 questions such as 8 independent variables related to the general characteristics of the patients, 7 dependent variables in conjunction with sexual intercourse and changed muscle tone, 6 questions regarding to changed sexual function, and 6 questions about a changed motor and a sensory function after stroke. To analyze the factors related to a sexual function after a stroke, we used the random forest, boosting algorithm and MANOVA. [Results] The most important variable in variable group 1 is VAR1, and then VAR22, VAR23, VAR26, VAR27, VAR25, VAR21 and VAR 24 respectively. The most important variable in variable group 2 is VAR22, and then VAR26, VAR23, VAR25, VAR1, VAR27, VAR21 and VAR 24. Finally, for variable group 3, VAR1 has the most important percentage, and we have the order as VAR26, VAR23, VAR27, VAR22, VAR25, VAR21 and VAR 24 among the rest of variables. The result of variable importance in boosting algorithm is somehow the same as that of random forest. [Conclusion] As a result of our analysis, we figured out that duration of illness, age, and education level are important factors of sexual functions for Korean Stroke patients.
[目的] 本研究旨在调查韩国中风患者对中风后性咨询的偏好。[对象与方法] 对200名中风患者进行了调查。在提交的200份问卷中,156份有回应,但147份有效。问卷由27个问题组成,包括8个与患者一般特征相关的自变量、7个与性交及肌张力变化相关的因变量、6个关于性功能变化的问题以及6个关于中风后运动和感觉功能变化的问题。为分析中风后性功能的相关因素,我们使用了随机森林、提升算法和多变量方差分析。[结果] 第一组变量中最重要的变量是VAR1,其次分别是VAR22、VAR23、VAR26、VAR27、VAR25、VAR21和VAR24。第二组变量中最重要的变量是VAR22,其次是VAR26、VAR23、VAR25、VAR1、VAR27、VAR21和VAR24。最后,对于第三组变量,VAR1的重要性百分比最高,其余变量的顺序为VAR26、VAR23、VAR27、VAR22、VAR25、VAR21和VAR24。提升算法中变量重要性的结果与随机森林的结果有些相似。[结论] 经分析,我们发现病程、年龄和教育水平是韩国中风患者性功能的重要影响因素。