Evidence map›Paper›PMID 40691495›Full record

ArticleScientific reports2025

Multiple correspondence analysis on intensity of elderly sports participation in China.

Lanfang Zhu, Suqi Jiang, Chenyang Zhao, Yu Feng, Jian Kang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lanfang ZhuCollege of Physical Education and Health Science, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Suqi JiangCollege of Physical Education and Health Science, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Chenyang ZhaoCollege of Physical Education, Hunan Normal University, Changsha, Hunan, China.
Yu FengCollege of Physical Education and Health Science, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Jian KangCollege of Physical Education and Health Science, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China. kangjian001kj@foxmail.com.

Funding

Zhejiang Office of Philosophy and Social Science 25NDJC030YB
6 · The paper itself

Abstract

The background of aging has increased the demand of adaptability on elderly sports. In order to response to the aging society and achieve sports' health function for elderly participants, this research aim to clarify the elderly sport participants' characters and their potential influencing factors. Caused by too many variables in CHARLS, its cross-sectional nature precludes causal inference. The approach is purely exploratory. We obtained cases of 4982 elderly sports participants from the China Health and Retirement Longitudinal Study (CHARLS). They were divided into 3 clusters by cluster analysis, based on intensity of participation, and then figured out their potential influence by multiple correspondence analysis. Cluster 1 (47%) includes low-intensity participants. They only participate in mild exercise with low frequency. Cluster 2(32%) is non-high-intensity participants. They are deeply involved in moderate and low-intensity exercises with moderate frequency. Cluster 3 (21%) consists of multi-intensity participants. They are engaged in low-intensity, moderate-intensity, and high-intensity sports with high frequency. The intensity indicates that sport is an effective lifestyle for elderly individuals, particularly those who are villagers and not affluent. The urban-rural fringe area is associated with non-high-intensity participants in elderly sports. Additionally, marital statuses "never married" and "separated" are more associated with multi-intensity participants (Cluster 3). Institutionalized older adults living with a spouse show a higher likelihood of participating in high-intensity physical activities.

Indexed as

AgingExerciseSportsAgedAged, 80 and overChinaCluster AnalysisCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedAge-appropriate sports serviceAgingCluster analysisMulti-intensity sports participants

Identifiers

PMID40691495
PMCPMC12280013

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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.