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

• Published in: Journal of international academy of physical therapy research Vol. 10; no. 4; pp. 1926 - 1933
• Main Authors: Go, Junhyeok, Yeum, Dongmoon, Kim, Nyeonjun, Choi, Myungil
• Format: Journal Article
• Language: Korean
• Published: 2019
• Subjects: Semantic network analysis; Journal of International Academy Physical Therapy; Physical therapy research
• ISSN: 2092-8475; 2714-0148

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 2010 to 2019. 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.