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Physical Activity and Exercise: Text Mining Analysis.
Miquel Pans1, Joaquin Madera1, Luís-Millan González1
1Department of Physical Education and Sport, FCAFE, Universitat de València, 46010 València, Spain.
International Journal of Environmental Research and Public Health
|September 28, 2021
Summary
Text mining of 85,368 articles reveals key research trends in physical activity and exercise for young people. Health, body mass, and body mass index are central themes, with increasing focus on exercise in recent years.
Area of Science:
- Sports Science
- Public Health
- Exercise Physiology
Background:
- Information overload in physical activity (PA) research hinders a clear view of the state-of-the-art.
- Text mining (TM) offers a method to analyze large volumes of scientific literature.
Purpose of the Study:
- To analyze research trends in the PA and health field concerning young people across educational levels.
- To identify key topics and evolving themes in PA research using TM.
Main Methods:
- Analysis of titles and abstracts from the Web of Science (WOS) database (as of November 24, 2020).
- Application of text mining techniques to 85,368 unique articles.
- Generation of word frequency, bi-gram, tri-gram, and co-occurrence network analyses.
Main Results:
- Identified 9960 unique words, with 'health' as a primary term.
- Most frequent bi-grams and tri-grams included 'body_mass' and 'body_mass_index'.
- Analysis revealed 20 key topics focusing on health, social aspects, sports performance, and research processes.
Conclusions:
- Text mining effectively synthesizes vast amounts of PA research.
- Research highlights the significance of 'health' and 'exercise' in recent years.
- Key areas of focus include body composition and its relation to health in young populations.
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