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Semantic Network Analysis of Physiotherapy Research: Based on Studies Published in the Journal of IAPTR

고준혁, 염동문, 김년준, 최명일,
소속 상세정보
고준혁 ( Go Jun-Hyeok ) - Kyungbok University Department of Health Science
염동문 ( Yeum Dong-Moon ) - Changshin University Department of Social Welfare
김년준 ( Kim Nyeon-Jun ) - Pohang University Department of Physical Therapy
최명일 ( Choi Myung-Il ) - Namseoul University Department of Advertising and Public Relations

Abstract


Background: Physical therapy has been widely studied in various fields, however, the academic trends and characteristics has not been systematically analyzed. Semantic network analysis is used as an approach for this study.

Objective: To explore academic trends and knowledge system in the physiotherapy research in the Journal of International Academy Physical Therapy (J of IAPTR)

Study design : Literature review

Method: Semantic network analysis was conducted using the titles of 272 articles published in the Journal of IAPTR from 2001 to 2010.

Results: Frequency analysis revealed following most frequently used key words; Stroke (27 times), Balance (21 times), Elder (13 times), Forward head posture (FHP, 11 times), Muscle activity (9 times). The relationship between the presented keywords is divided into six subgroups (FHP and pain, walk and quality, elder and balance, stroke and apoptosis, muscle strength and function) according to their correlation and frequency to be used together.

Conclusion: The study is considered to be of help to researchers who want to identify research trends in physiotherapy.

키워드

Physical therapy research; Journal of International Academy Physical Therapy; Semantic network analysis

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