Physical Activity and Exercise: Text Mining Analysis

Miquel Pans, Joaquin Madera, Luís-Millan González and Maite Pellicer-Chenoll
Additional contact information
Miquel Pans: Department of Physical Education and Sport, FCAFE, Universitat de València, 46010 València, Spain
Joaquin Madera: Department of Physical Education and Sport, FCAFE, Universitat de València, 46010 València, Spain
Luís-Millan González: Department of Physical Education and Sport, FCAFE, Universitat de València, 46010 València, Spain
Maite Pellicer-Chenoll: Department of Physical Education and Sport, FCAFE, Universitat de València, 46010 València, Spain

IJERPH, 2021, vol. 18, issue 18, 1-11

Abstract: It is currently difficult to have a global state of the art vision of certain scientific topics. In the field of physical activity (PA) and exercise, this is due to information overload. The present study aims to provide a solution by analysing a large mass of scientific articles using text mining (TM). The purpose was to analyse what is being investigated in the PA health field on young people from primary, secondary and higher education. Titles and abstracts published in the Web of Science (WOS) database were analysed using TM on 24 November 2020, and after removing duplicates, 85,368 remained. The results show 9960 (unique) words and the most frequently used bi-grams and tri-grams. A co-occurrence network was also generated. ‘Health’ was the first term of importance and the most repeated bi-grams and tri-grams were ‘body_mass’ and ‘body_mass_index’. The analyses of the 20 topics identified focused on health-related terms, the social sphere, sports performance and research processes. It also found that the terms health and exercise have become more important in recent years.

Keywords: physical activity; students; school; university; text mining (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/18/9642/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/18/9642/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:18:p:9642-:d:634626

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().