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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Kineziterapijos poveikis sergančiųjų kojų sąnarių osteoartroze funkciniam aktyvumui / Physical therapy influence upon functional activity of patients with leg joints osteoarthritis

Kripaitytė, Rūta 17 May 2005 (has links)
SUMMARY Joint damages make a big part of orthopedic pathology and rheumatic diseases. One of the most often rheumatic diseases is osteoarthritis. Osteoarthritis is a difficult and widespread joint disease requiring special public health care attention and healing expenses and it has caused especially great interest of scientists in the world. Exercise therapy is an important part of complex treatment of osteoarthritis. However, information about exercise therapy frequency, duration, intensity and different exercises influence upon functional possibilities is still limited. Research purpose. To determine exercise therapy influence upon functional activity of patients with leg joints osteoarthritis. Goals. 1) To evaluate strength exercise therapy effect on clinical and functional data of patients with leg joint osteoarthritis. 2) To evaluate balance exercise therapy impact upon clinical and functional data of patients with leg joints osteoarthritis. 3) To compare strength and balance exercise therapy influence upon clinical and functional data of patients with leg joints osteoarthritis. 4) To determine pain intensity and functional data interrelation of patients with leg joints osteoarthritis. Research methods and organisation. Patients with leg joint osteoarthritis volunteered to participate in research. The participants were divided into two groups, each consisting of 15 persons. The two groups were homogenous by main data: sex, age, height, weight, diseases duration... [to full text]

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