Pan Ding , Zixiang Zhou , Wang Yuan , Kyungsik Kim
DOI:10.46695/ASCS.6.1.1
Abstract
PURPOSE The aim was to explore trends in creatine research by analyzing keywords and identifying sub-areas in existing studies. METHOD We conducted social network analysis (SNA) on 472 papers related to creatine. All studies were in the Web of Science database and published between 2000 and 2019. We used the application Netminer to conduct keyword network analysis. RESULT We found that keywords such as “effect,” “supplementation,” “exercise,” “body,” “increase,” “performance,” “change,” “strength,” “muscle,” “training,” “mass,” “period,” “level,” and “difference” consistently appeared over the past 20 years, suggesting primary research topics related to creatine use in sport during this period. Certain keywords appeared only in specific periods; for example, “control” and “treatment” were prevalent in the 2000s, while keywords such as “resistance,” “baseline,” “value,” “ck,” “player,” “serum,” and “measure” appeared predominantly between 2010 and 2020. This shift points to the emergence of new research fields related to creatine use in sport. Based on topic modeling analysis, four sub-research domains emerged: (a) eight keywords comprising “Creatine and CK,” (b) nine keywords comprising “Creatine and Effect,” (c) seven keywords comprising “Creatine and Placebo Effect,” and (d) six keywords comprising “Creatine and Performance.” CONCLUSION SNA proved effective in identifying trends in research of creatine use in sport, delineating four sub-research fields that could guide future study. However, whether these four sub-research areas will develop into distinct, in-depth fields is uncertain.
Key Words
Creatine, Research Trend, Social Network Analysis, Knowledge Structure