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LDA 알고리즘 동적 토픽 모델링을 적용한 운동과학 연구 동향 분석: 2015년부터 2024년까지를 중심으로

Analysis of Research Trends in Exercise Science Using LDA Algorithm: Focusing on the Period from 2015 to 2024

이동우|조혜수|곽동민|이형근
한국운동생리학회|2024.11|운동과학 (Exercise Science)|제33권 제4호|pp. 399-408|DOI 10.15857/ksep.2024.00584

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연구동향토픽모델링Topic modelingResearch trend대사증후군Metabolic syndrome잠재 디리클레 할당Health careLDA algorithm건강 관리

초록

PURPOSE: The purpose of this study was to analyze the research trends in exercise physiology over the past decade, ultimately providing new prospectives on the fields. METHODS: We targeted the titles of papers published on the official website of the Korean Society of Exercise Physiology between January 2015 and August 2024. In total, 367 articles were included. Among them, 98 articles had English titles and were analyzed after translation into Korean. The “Tokenization” process, which extracts noun words and “Stopwords” to eliminate unnecessary particles of articles, was executed. Subsequently, a common language was integrated, and terminology was standardized. The Latent Dirichlet Allocation (LDA) model was used to determine the optimal number of topics. RESULTS: The 367 articles analyzed were named Topics 1 to 8(Topic 1: Exercise performance, Topic 2: Exercise rehabilitation, Topic 3: Resistance exercise, Topic 4: Covid/Exercise, Topic 5: Elderly/Exercise, Topic 6: Elite/Exercise, Topic 7: Physical assessment, and Topic 8: Metabolic syndrome). After dividing the years into four phases, the proportions of each topic were determined by phase. Among Topics 1-8, the topics that indicated a significant change were Topic 3(rho=-.104, p<.038), Topic 7(rho=-.507, p<.000), and Topic 8(rho=461, p<.000). CONCLUSIONS: Research trends over the last 10 years have shown that research topics have changed over time. The trend changes indicated a decrease in interest in physical assessments and a rapid increase in metabolic syndromes. This study highlights the need for health management studies in accordance with changes in the societal context, along with digital healthcare and wearable technology.

Abstract

PURPOSE: The purpose of this study was to analyze the research trends in exercise physiology over the past decade, ultimately providing new prospectives on the fields. METHODS: We targeted the titles of papers published on the official website of the Korean Society of Exercise Physiology between January 2015 and August 2024. In total, 367 articles were included. Among them, 98 articles had English titles and were analyzed after translation into Korean. The “Tokenization” process, which extracts noun words and “Stopwords” to eliminate unnecessary particles of articles, was executed. Subsequently, a common language was integrated, and terminology was standardized. The Latent Dirichlet Allocation (LDA) model was used to determine the optimal number of topics. RESULTS: The 367 articles analyzed were named Topics 1 to 8(Topic 1: Exercise performance, Topic 2: Exercise rehabilitation, Topic 3: Resistance exercise, Topic 4: Covid/Exercise, Topic 5: Elderly/Exercise, Topic 6: Elite/Exercise, Topic 7: Physical assessment, and Topic 8: Metabolic syndrome). After dividing the years into four phases, the proportions of each topic were determined by phase. Among Topics 1-8, the topics that indicated a significant change were Topic 3(rho=-.104, p<.038), Topic 7(rho=-.507, p<.000), and Topic 8(rho=461, p<.000). CONCLUSIONS: Research trends over the last 10 years have shown that research topics have changed over time. The trend changes indicated a decrease in interest in physical assessments and a rapid increase in metabolic syndromes. This study highlights the need for health management studies in accordance with changes in the societal context, along with digital healthcare and wearable technology.

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