Research on the Construction of a Risk Identification Index System for Physical Exercise Among the Elderly in Zhaoqing City

Authors

  • Jun Xiang School of Physical Education and Health, Zhaoqing University, Zhaoqing 526061, China Author
  • Jia Gao School of Physical Education and Health, Zhaoqing University, Zhaoqing 526061, China Author

DOI:

https://doi.org/10.63313/perd.9002

Keywords:

Exercise risk, indicator system, Delphi method, hierarchical analysis, Zhaoqing City

Abstract

This study employs methods such as factor analysis to construct an indicator system for identifying risks associated with physical exercise among the elderly in Zhaoqing City, providing a basis for addressing issues related to the risks and identification of such risks among the elderly in Zhaoqing City. The results indicate that the first-level indicators for identifying physical exercise risks among the elderly in Zhaoqing City include 4 items, the second-level indicators include 14 items, and the third-level indicators include 28 items. Among these, the first-level indicators and their respective weights are: physical health status (0.35), exercise behavior characteristics (0.25), environmental and safety measures (0.20), and psychological and cognitive abilities (0.20); The secondary indicators and their weight rankings are: chronic disease status (0.12), physical fitness foundation (0.1), history of sports injuries (0.07), cardiovascular health (0.06), exercise frequency (0.08), exercise intensity (0.07), exercise method selection (0.05), exercise persistence (0.05), Facility Safety (0.07), Use of Wearable Devices (0.07), Community Support and Guidance (0.06), Exercise Risk Perception (0.08), Exercise Motivation and Willingness (0.07), Emotional and Mental Health (0.05); The tertiary indicators and their weighting order are: hypertension, diabetes, and coronary heart disease diagnosis status (0.02), medication and disease management status (0.02), walking ability test (0.02), balance ability test (0.02), number of exercise-related injuries in the past year (0.01), post-injury recovery status (0.01), heart rate monitoring (0.01), blood pressure measurement (0.01), number of exercise sessions per week (0.01), duration of each exercise session (0.01), heart rate range during exercise (0.01), subjective physical exertion score (0.01), proportion of aerobic exercise participation (0.01), proportion of strength training participation (0.01), Number of consecutive months of exercise (0.01), statistics on reasons for exercise interruptions (0.01), facility integrity rate (0.01), anti-slip and fall prevention measures at the facility (0.01), wearing rate (0.01), data upload and monitoring frequency (0.01), participation rate in community health lectures (0.01), Professional guidance service coverage rate (0.01), Risk knowledge questionnaire score (0.01), Pre-exercise risk assessment behavior incidence rate (0.01), Subjective willingness to participate in exercise score (0.01), Exercise goal setting status (0.01), Depression and anxiety self-assessment scale score (0.01), Perceived social support score (0.01).

References

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Published

2025-08-25

How to Cite

Research on the Construction of a Risk Identification Index System for Physical Exercise Among the Elderly in Zhaoqing City. (2025). Journal of Physical Education, Recreation & Dance, 1(1), 13-22. https://doi.org/10.63313/perd.9002