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Analysis of Participation Patterns and Injury-Triggering Factors in Elderly Grassroots Sports Using Association Rule
1Department of Sport Senior, Korea National Sport University, Seoul 05541, Republic of Korea.
Life (Basel, Switzerland)
|March 28, 2026
Summary
Older adults face sports injury risks from irregular participation, late-night activity, and excessive movement. Identifying these patterns helps create targeted safety guidelines for the aging population.
Area of Science:
- Gerontology
- Sports Medicine
- Data Mining
Background:
- Previous research on older adult sports injuries was primarily descriptive.
- Limited understanding of specific participation patterns linked to injury risk factors.
Purpose of the Study:
- To identify structural relationships between sports participation patterns and injury risk factors in older adults.
- To address limitations in prior descriptive research using data mining.
Main Methods:
- Analysis of data from the 2024 Sports Safety Accident Survey (352 adults aged 65+).
- Application of association rule analysis with the Apriori algorithm to eight key variables.
- Examination of temporal, environmental, and behavioral factors influencing injury.
Main Results:
- High-risk injury patterns linked to irregular participation in non-sport-specific locations (late-night).
- Excessive movement during prolonged, daily participation (morning) also identified as high-risk.
- Injuries predominantly affected major upper and lower limb joints.
Conclusions:
- Sports injuries in older adults result from complex interactions of temporal, environmental, and behavioral factors.
- Findings support developing targeted safety guidelines and injury prevention strategies.
- Tailoring strategies to specific participation patterns is crucial for the aging population.
