Wellons Rachel D, Duhe Sydney, MacDowell Sara, Diaz Gabrielle, Poche Crystal, Johnson Mark, Steen Byron
School of Allied Health, Department of Physical Therapy, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA.
Hearing and Balance Center, Our Lady of the Lake Regional Medical Center, Baton Rouge, LA, USA.
Physiother Theory Pract. 2021 Sep;37(9):1060-1066. doi: 10.1080/09593985.2019.1675208. Epub 2019 Oct 10.
: The purpose of this study is to investigate the accuracy of the StepWatch Activity Monitor (SAM in measuring step count for individuals with vestibular disorders.: Subjects were individuals with a vestibular disorder. The StepWatch Activity Monitor (SAM) was programed, placed on the patient's right ankle, and calibrated. Subjects completed a 2 Minute Walk Test (2 MWT) wearing the SAM. All steps were counted live and by video using a tally counter (TC).: Twenty-Six (N = 26) subjects, 9 males and 17 females, with an average age of 61.5 ± 12.4 years (36-80) completed the study. The average number of steps counted by the TC during the 2 MWT was 219.1 ± 25.9 (168-251) compared to 217.4 ± 27.3 (153-252) counted by SAM, an average difference of 1.6 ± 4.6 steps. Regression analysis demonstrated that the mean difference in step count was not significantly different from 0 (t = -1.588, sig. = 0.125). A Bland-Altman plot was created using the 95% upper and lower confidence interval (-0.29-3.44).: The results indicate that the SAM accurately measures step count in individuals with vestibular disorders. Researchers and vestibular therapists can use the SAM to collect step count data in individuals with vestibular disorders.
本研究的目的是调查StepWatch活动监测仪(SAM)测量前庭疾病患者步数的准确性。
受试者为患有前庭疾病的个体。对StepWatch活动监测仪(SAM)进行编程,将其放置在患者右脚踝上并进行校准。受试者佩戴SAM完成2分钟步行测试(2MWT)。所有步数通过计数器(TC)实时计数并通过视频计数。
26名(N = 26)受试者,9名男性和17名女性,平均年龄61.5±12.4岁(36 - 80岁)完成了该研究。在2MWT期间,TC计数的平均步数为219.1±25.9(168 - 251),而SAM计数的平均步数为217.4±27.3(153 - 252),平均差异为1.6±4.6步。回归分析表明,步数的平均差异与0无显著差异(t = -1.588,sig. = 0.125)。使用95%的上下置信区间(-0.29 - 3.44)创建了布兰德 - 奥特曼图。
结果表明,SAM能够准确测量前庭疾病患者的步数。研究人员和前庭治疗师可以使用SAM收集前庭疾病患者的步数数据。