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Comparative Immediate Effects of Isometric Chin-tuck and Dynamic Neuromuscular Stabilization on Neck Flexor Muscle Thickness and Upright Sitting Height Posture KCI 등재

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한국전문물리치료학회지 (Physical Therapy Korea)
한국전문물리치료학회 (Korean Research Society of Physical Therapy)
초록

Background: Cervical dysfunction is a common pathomechanical marker in individuals with forward head posture (FHP). To overcome the limitations of the isometric chin-tuck (ICT) exercise, dynamic neuromuscular stabilization (DNS), which emphasizes an entire spinal chain exercise, has recently shown promising clinical results.
Objects: Purpose of this study was to compare the immediate effects between ICT and DNS techniques.
Methods: 43 young subjects (mean age, 24.0±5.0 years) were recruited. Group of subjects with FHP were measured under baseline, ICT, and DNS conditions. Outcome measures included sitting height, longus colli (LC) and sternocleidomastoid (SCM) muscle thickness and LC/SCM thickness ratio. One-way repeated measures ANOVA was used to compare the continuous dependent variables among FHP, ICT, and DNS conditions at p<.016.
Results: Both ICT and DNS exercise conditions yielded significantly increased LC muscle thickness,
LC/SCM thickness ratio and sitting height than did FHP condition (p<.0001, respectively). Sitting height was significantly greater in DNS exercise than in the ICT exercise (p<.0001).
Conclusion: The present results demonstrated that sitting height was greater in the DNS exercise than in the ICT exercise, as well as both corrective postural training exercises were effective on LC/SCM muscle balance ratio when compared with the baseline FHP condition. Therefore, it is considered that DNS exercise can be the recommended exercise for people with FHP.

목차
Abstract
Introduction
Methods
    Subjects
    Experimental procedures
    Statistical analysis
Results
Discussion
    Limitations of the study
Conclusion
References
저자
  • Ji-won Shin(Sports Movement Artificial Robotics Technology Institute, Department of Physical Therapy, Yonsei University)
  • Hyun-sik Yoon(Chungnam National University Hospital)
  • Ji-ho Park(Sports Movement Artificial Robotics Technology Institute, Department of Physical Therapy, Yonsei University)
  • Ha-yeon Kim(Translational Research Center for Rehabilitation Robots, National Rehabilitation Center)
  • Joshua (Sung) H. You(Sports Movement Artificial Robotics Technology Institute, Department of Physical Therapy, Yonsei University) Corresponding author