Donghyun Lee , Jungyul Lee , Seojin Youn
DOI:10.26584/RDPA.2025.9.1.80 Vol.9(No.1) 80-91, 2025
Abstract
The purpose of this study was to examine scholarly trends over the past five years in research related to physical activity, leisure, and dance programs for older adults using topic modeling techniques. Specifically, it aimed to identify and interpret socio-psychological variables emerging from this literature at a macro level. Keywords were extracted from Korean academic publications using the TEXTOM 24 program. A series of analyses―including N-gram analysis, Term Frequency-Inverse Document Frequency (TF-IDF), topic modeling, and semantic network analysis―were conducted to investigate keyword patterns and thematic structures across the corpus. N-gram analysis revealed that “life” and “quality” were the most frequently co-occurring terms. TF-IDF analysis identified “activity,” “life,” “society,” “depression,” and “health” as the most salient keywords. Topic modeling extracted five major thematic clusters: (1) Life Satisfaction, (2) Participation Effects, (3) Subjective Psychological Effects, (4) Cognitive Function Effects, and (5) Health Promotion Effects. Semantic network analysis further indicated that “elderly,” “participation,” “leisure,” “health,” and “psychology” were the most central nodes based on both degree and closeness centrality. In terms of betweenness centrality, these keywords remained prominent, while “program” emerged as an additional bridging term across clusters. Over the past five years, Korean research on physical activity, leisure, and dance programs for older adults has increasingly incorporated concepts such as “therapy,” “cognition,” and “dementia.” These findings suggest a meaningful shift toward multidimensional and interdisciplinary perspectives in gerontological research, emphasizing the integration of physical, psychological, and cognitive dimensions in aging-related studies.
Key Words
Older Adults, Physical Activity, Leisure and Dance Programs, Socio-Psychological Variables, Text Mining