Exploring the knowledge structure of Korean physical activity research using topic modeling and keyword network analysis
1Department of Physical Education, Gachon University, 13120 Gyeonggi-do, Republic of Korea
2Department of Dance Education, Dongguk University, 04620 Seoul, Republic of Korea
3Department of Physical Education, Kangwon National University, 24341 Kangwon-do, Republic of Korea
DOI: 10.31083/jomh.2021.084 Vol.17,Issue 4,September 2021 pp.37-43
Submitted: 17 May 2021 Accepted: 26 July 2021
Published: 30 September 2021
Background and purpose: Information on topics and knowledge structures is an important indicator of trends, prospects and sustainability in research fields. Although many studies on physical activity (PA) have been published in Korea, no studies have been reported to explain knowledge structure (KS) and keyword topics. Therefore, this study intends to analyze and explain PA-related studies.
Research method: In this study, topic modeling and keyword network analysis were applied to explore the KS of domestic PA-related studies published in domestic journals. 83 journals and 782 studies published from 1996 to June 2019 were collected, and 5441 key research keywords were used as data.
Results and conclusions: Analyzing the study of physical activity in Korea, first, it is a study that reports the PA level of students from an educational point of view. Second, it is a study that verified the validity and reliability of the measurement tool. Third, a study reporting the psychological and behavioral characteristics of PA participants. Fourth, studies promoting PA participation in subjects with disabilities. Fifth, research on key topics of health and obesity is ongoing. This study can be used as basic data to explore the current status of global PA research by providing information on major themes, keywords, and trends of domestic PA research.
Knowledge structure; Research trends; South Korea; Physical activity; Network analysis; Topic modeling
So-Eun Lee, Hye-Ryeon Kim,Chang-Hwan Choi. Exploring the knowledge structure of Korean physical activity research using topic modeling and keyword network analysis. Journal of Men's Health. 2021. 17(4);37-43.
 Haskell WL, Blair SN, Hill JO. Physical activity: Health outcomes and importance for public health policy. Preventive Medicine. 2009; 49: 280–282.
 Chae JS, So WY. Analysis of trends in physique and physical fitness in Korean adults. Journal of Men’s Health. 2021; 17: 50–58.
 Graf S, Cecchini M. Diet, physical activity and sedentary behaviors: Analysis of trends, inequalities and clustering in selected OECD countries. OECD Health Working Papers. 2017; 100: 1–94.
 Ko DH, Lee KH, Kim YH. LONGITUDINAL STUDY ON THE RELATIVE RISK OF TYPE 2 DIABETES MELLITUS ACCORDING TO OBESITY AND PHYSICAL ACTIVITY. Journal of men’s health. 2020; 16: 1–10.
 World Health Organization (WHO). 2020. Available at: https://www.who.int/chp/media/news/releases/2011_2_ physicalactivity (Accessed: 15 July 2020).
 Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katz-marzyk PT, van Mechelen W, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016; 388: 1311–1324.
 Friedenreich CM, McNeil J. Mapping the historical development of research in physical activity and health: Providing a platform for future research. Preventive Medicine. 2018; 111: 473–475.
 Eichenbaum LR, Kao MCJ, Tomkins‐Lane C, Smuck M. Poster 269 Rapidly Increasing Trends in Physical Activity Research within the Published Medical Literature. PM&R. 2014; 6: S279–S279.
 Blair SN, Powell KE. The Evolution of the Physical Activity Field. Journal of Physical Education, Recreation & Dance. 2014; 85: 9–12.
 Varela AR, Pratt M, Harris J, Lecy J, Salvo D, Brownson RC, et al. Mapping the historical development of physical activity and health research: a structured literature review and citation network analysis. Preventive Medicine. 2018; 111: 466–472.
 Gowing M. Scientific Knowledge and its Social Problems. The British Journal for the History of Science. 1974; 7: 72–75.
 Galunic DC, Rodan S. Resource recombinations in the firm: knowl-edge structures and the potential for schumpeterian innovation. Strategic Management Journal. 1998; 19: 1193–1201.
 Aviv R, Erlich Z, Ravid G, and Geva A. Network analysis of knowledge construction in asynchronous learning networks. Journal of Asynchronous Learning Networks. 2003; 7: 1–23.
 Zhang J, Xie J, Hou W, Tu X, Xu J, Song F, et al. Mapping the knowledge structure of research on patient adherence: knowledge domain visualization based co-word analysis and social network analysis. PLoS ONE. 2012; 7: e34497.
 Downe-Wamboldt B. Content analysis: method, applications, and issues. Health Care for Women International. 1992; 13: 313–321.
 De Wever B, Schellens T, Valcke M, Van Keer H. Content analysis schemes to analyze transcripts of online asynchronous discussion groups: a review. Computers & Education. 2006; 46: 6–28.
 Strijbos J, Stahl G. Methodological issues in developing a multi-dimensional coding procedure for small-group chat communication. Learning and Instruction. 2007; 17: 394–404.
 Krätke S. Regional Knowledge Networks. European Urban and Regional Studies. 2010; 17: 83–97.
 Li W, Zhao Y. Bibliometric analysis of global environmental assess-ment research in a 20-year period. Environmental Impact Assessment Review. 2015; 50: 158–166.
 Mâsse LC, O’Connor TM, Tu AW, Hughes SO, Beauchamp MR, Baranowski T. Conceptualizing physical activity parenting practices using expert informed concept mapping analysis. BMC Public Health. 2017; 17: 574.
 Blei DM. Probabilistic topic models. Communications of the ACM. 2012; 55: 77–84.
 Steyvers M, Griffiths T. Probabilistic topic models. In Landauer TK, McNamara DS, Dennis S, Kintsch W (eds.) Handbook of latent semantic analysis (pp. 424–440). 1st edn. New York: Psychology Press. 2007.
 Amado A, Cortez P, Rita P, Moro S. Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis. European Research on Management and Business Economics. 2018; 24: 1–7.
 Harris JK, Lecy J, Hipp JA, Brownson RC, Parra DC. Mapping the development of research on physical activity and the built environment. Preventive Medicine. 2013; 57: 533–540.
 Herman KM, Ardern CI, Mason C, Brien SE, Katzmarzyk PT. Trends in physical activity research in Canada. Applied Physiology, Nutrition, and Metabolism. 2007; 32: 400–408.
 Mabry R, Koohsari MJ, Bull F, Owen N. A systematic review of physical activity and sedentary behaviour research in the oil-producing countries of the Arabian Peninsula. BMC Public Health. 2016; 16: 1003.
 HARADA K, SHIBATA A, NAKAMURA Y. Trends of Recent Research on Physical Activity and Environment. Journal of Japan Society of Sports Industry. 2011; 21: 1–7.
 Graf S, Cecchini M. Diet, physical activity and sedentary behaviours: Analysis of trends, inequalities and clustering in selected OECD countries. OECD Health Working Papers (pp. 1–94). Paris: OECD Publishing. 2017.
 Ryu M, Jo J, Lee Y, Chung Y, Kim K, Baek W. Association of physical activity with sarcopenia and sarcopenic obesity in community-dwelling older adults: the Fourth Korea National Health and Nutrition Examination Survey. Age and Ageing. 2013; 42: 734–740.
 Han MA, Kim KS, Park J, Kang MG, Ryu SY. Association between levels of physical activity and poor self-rated health in Korean adults: The Third Korea National Health and Nutrition Examination Survey (KNHANES), 2005. Public Health. 2009 ;123: 665–669.
 Cho M. The Strength of Motivation and Physical Activity Level during Leisure Time among Youth in South Korea. Youth & Society. 2004; 35: 480–494.
 Park HW, Leydesdorff L. Understanding the KrKwic: A computer program for the analysis of Korean text. Journal of the Korean Data Analysis Society. 2004; 6: 1377–1387.
 Koo K, Kim C, Park C, Byeun J, Seo G. Restrictions of physical activity participation in older adults with disability: employing keyword network analysis. Journal of Exercise Rehabilitation. 2016; 12: 373-378.
 An JY, Tak YR. Developing an instrument to evaluate physical activity level of children in large populations: a preliminary study. Korean Society for Health Education and Promotion. 2010; 27: 1–14.
 Park KW, Lee MY. Calibration and Validity Evidences of OMNI Chil-dren’s Perceived Exertion Scales. the Korean Journal of Measurement and Evaluation in Physical Education and Sports Science. 2014; 16: 97–108.
 Hong JY, Han SH. A Study on the Validity of an Ecological Teaching Assessment Tool to Promote the Physical Activities of Children Who Have Visual Impairment with Other Disabilities in Physical Education. Journal of Special Education: Theory and Practice. 2008; 9: 195–213. (In Korean)
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