Comparison of Outcomes of Physical Therapy Exercises Combined with Either a Video-Based Smartphone Application System or a Written Exercise Program Handout in 34 Patients with Non-Specific Neck Pain

比较物理治疗运动结合视频智能手机应用程序系统或书面运动方案手册对34例非特异性颈痛患者的疗效

阅读:1

Abstract

BACKGROUND An exercise program was developed using risk factors for non-specific neck pain. This study aimed to compare the effects video-based versus image- and text-based remote home training performed using this exercise program in patients with non-specific neck pain. MATERIAL AND METHODS Among the 37 patients with non-specific neck pain recruited, 34 patients who satisfied the inclusion criteria were enrolled in this study. The participants were randomized into the experimental (n=17) and control (n=17) groups. The patients in the experimental group performed exercises using a video-based application system, whereas those in the control group performed exercises using an image- and text-based printout. In-home training was implemented for 6 weeks in both groups. The neck pain intensity, disability index, active range of motion (aROM), forward head posture (FHP), and compensatory neck flexion were measured before and after the intervention. The within-group and between-group differences were analyzed at the end of the interventions. RESULTS Improvements in pain intensity, cervical ROM, disability index, FHP, and compensatory neck flexion were observed after in-home training in the experimental group (P.05). Between-group comparison revealed that the experimental group exhibited greater improvement in pain intensity, cervical ROM, and FHP than the control group (P<.05). CONCLUSIONS The findings of this study suggest that the video-based home exercise program improved pain intensity, aROM, neck disability index, FHP, and compensatory neck flexion in patients with non-specific neck pain.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。