Search In this Thesis
   Search In this Thesis  
العنوان
Development of a clinical prediction rule to identify patients with knee osteoarthritis likely to benefit from exercise /
الناشر
Reda Sayed Ahmed Mohamed Eweda ,
المؤلف
Reda Sayed Ahmed Mohamed Eweda
تاريخ النشر
2014
عدد الصفحات
113 P. :
الفهرس
Only 14 pages are availabe for public view

from 162

from 162

Abstract

knee osteoarthritis (OA) is a common disease affecting many large proportion of population all over the world and in our society. Many physical therapy approaches used to treat knee OA, there is high evidence that exercises are effective but still a great debate about which type is more effective and what are the possible factors that could affect the patient’s response to exercise. To investigate the effect of body mass index (BMI), age, duration of symptoms, and pain severity on patient’s response to closed kinetic chain exercises (CKC). Forty patients suffering from knee OA assessed by visual analogue scale (VAS) and functional tests (50 feet walk, timed up and go (TUG), and step tests) before and after exercise program of CKC exercises including (stationary bike, terminal knee extension, foreword, and lateral step up exercises) plus stretching exercises and pulsed faradic stimulation for six weeks. The results showed that there were improvement in functional performance and reduction in pain intensity