A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy
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초록

Text-mining techniques were used to provide basic data to related policy stakeholders and academic researchers by collecting and analyzing research trends related to animal-mediated healing in a short time. A total of 776 studies were collected using the keyword “animal-assisted therapy” (AAT) in the search engine PubMed, which covers a wide range of topics related to health sciences, biomedical research, and health psychology. Four analysis methods were employed. “Dog” was the most commonly utilized animal in AAT. This study also identified individuals with autism spectrum disorder and post-traumatic stress disorder as the primary research participants. Finally, the terms “health care” and “blood pressure” were identified, indicating that AAT has a positive impact on improving blood pressure and enhancing heart rate. These findings demonstrate that AAT research is being actively pursued in various fields, such as social sciences, medicine, and psychology. © 2023 by the authors.

키워드

animal-assisted therapybig datatext miningINTERVENTIONDISORDERANXIETY
제목
A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy
저자
Lee, Shin-JaKim, Geun-HyeonMoon, Yea-HwangLee, Sung-Sill
DOI
10.3390/ani13193133
발행일
2023-10
유형
Article
저널명
Animals
13
19