Evidence map›Paper›PMID 40229878›Full record

ArticleBMC psychology2025

A psycho-behavioral perspective research for elderly leisure sports participation via big-data and comparative analyses.

Chulhwan Choi, Sung-Un Park, Dong-Kyu Kim

Abstract readComparative Study
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chulhwan ChoiDepartment of Physical Education, Gachon University, Seongnam-si, 13120, Republic of Korea.
Sung-Un Park *Department of Sports Science, Hwasung Medi-Science University, Hwaseong-si, 18274, Republic of Korea. psu@hsmu.ac.kr.
Dong-Kyu Kim *Department of Sport, Leisure, & Recreation, Soonchunhyang University, Asan-si, 315358, Republic of Korea. dkkim2050@sch.ac.kr.

Funding

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea NRF-2024S1A5A8028899
6 · The paper itself

Abstract

backgroundThe health of the elderly and the need for research to support them has never been more important. This study aims (a) to analyze the participation behavior of the elderly in leisure sports through big-data analysis and (b) to compare and analyze the motivations, limitations, and satisfaction of participation in leisure sports by age group.

methodsFirst, big-data analysis using text-mining technique was conducted using the TEXTOM program to collect and analyze data between May 1, 2023 and November 24, 2024. Next, a survey was conducted among adults aged 20 years and older who regularly participate in leisure sports to determine their motivations, limitations, and satisfaction with leisure participation. From June to December 2024, the data of 301 participants were collected and analyzed using SPSS 28.0. Specifically, this study analyzed the validity and reliability of the data and then compared and analyzed the three age groups through multivariate analysis of variance.

resultsBig-data analysis identified key terms and four clusters related to senior leisure sports participation: (a) Policy, (b) Welfare, (c) Senior Sports, and (d) Employment. The results of the comparative study through the questionnaire showed that compared to younger participants in leisure sports, the elderly showed higher results in the factors of self-challenge motive, social interaction motive, and leisure participation satisfaction, but lower results in the factor of cost constraints. This means that the elderly participate in leisure sports for challenge and social interaction, are more satisfied, and are less constrained by cost.

conclusionsThe scientific and objective results of this study could be used as a resource to specifically understand the leisure sports participation behavior of the elderly.

Indexed as

Big DataLeisure ActivitiesMotivationPersonal SatisfactionSportsAdultAgedAge FactorsFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultBig dataConstraintsElderlyLeisure sportsMotivationSatisfaction

Identifiers

PMID40229878
PMCPMC11998448

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.