CiteSpace-based metrical and visualization analysis of tai chi chuan an algesia

Abstract

Objective: The objective of the study was to explore the research status and hot topics that are most studied about in Tai Chi Chuan (TCC) analgesia through a metrical and visualization analysis of the literature and provide some references for the experimental research on the analgesic effect of TCC and its clinical applications. Methods: The literature on TCC analgesia was collected from the Web of Science database, and the metrical and visualization analysis was performed using the CiteSpace. 5.6.R4 software in terms of publication outputs, countries, institutions, keywords, highly cited articles, and highly cited journals. Results: The number of annual publications gradually increased over time. The five research groups presented stable cooperative relationships and more publications. The authors ranked as top 1 were from America rather than China, which has more publications. The most common keywords were Tai Chi, randomized controlled trial, older adults, exercise, pain, low back pain, quality of life, management, etc. The literature on knee osteoarthritis and fibromyalgia had the highest citation frequency. The journals with high citation frequency included Cochrane Database System Review, Pain, and Plos One. Conclusions: Increasing attention has been paid to TCC analgesia. Randomized controlled trials, older adults, low back pain, and quality of life were found to be most studied in this field. Investigating clinical efficacy and conducting meta-analyses could be a promising direction in the future. The international cooperation and literature quality of TCC analgesia should be further strengthened.

Keywords

• citespace
• metrical analysis
• tai chi chuan
• pain
• visualization analysis