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KMID : 1142420180160030365
PNF and Movement
2018 Volume.16 No. 3 p.365 ~ p.376
Research Trends in the Journal of the PNF and Movement
Lee Myoung-Hee

Kim Eun-Kyung
Kim Chang-Heon
Seo Joo-Sik
Chae Jung-Byung
Kim Yong-Hun
Lee Sang-Yeol
Abstract
Purpose: This study investigates research trends in the Proprioceptive Neuromuscular Facilitation (PNF) and Movement journal.

Methods: This study analyzes the frequency of keywords and their coincidences with medical subject headings (MeSH) over 15 years in 315 papers from volume 1, issue 1 to volume 15, issue 3 of a journal published by the Korean Proprioceptive Neuromuscular Facilitation Association. The research types and levels are also analyzed, and the journals are classified by subject, diagnosis, application of PNF, and technique used when PNF is applied. All of the variables are classified in five-year units and their trends are examined.

Results: A total of 315 papers were published in 40 issues, and 1190 keywords were used over 15 years. The most frequently used keyword was ¡°PNF.¡± For the keywords that coincided with the MeSH, there were 235 (19.74%) complete coincidence words, 167 (14.03%) incomplete coincidence words, and 788 (66.21%) complete incoincidence words. Thus, the number of complete incoincidence words was the largest. For research types, there were 196 (61.90%) experimental studies, which was the most studied research type. For research levels, there were 155 (49.21%) Level 3 studies (non-randomized trial), which was the research level with the largest number of papers. Normal people were the most common subjects (121 cases, 38.41%), and the number of papers that did not use PNF was 187 (59.37%), which was larger than those that used PNF. The most frequently used combination technique was isotonics when PNF was used.

Conclusion: Basic data on PNF-related research was obtained by analyzing papers published over the past 15 years. This information can be used to suggest future directions for PNF research.
KEYWORD
Medical subject headings (MeSH), Research type, Research level, Diagnosis, PNF technique
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