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Self-Efficacy, Exercise Anticipation and Physical Activity in Elderly: Using Bayesian Networks to Elucidate Complex
Xiaoying Chen1, Shuang Yang2, Huiwen Zhao3
1The 2nd Ward of Knee Trauma Department, Tianjin Hospital, Tianjin, People's Republic of China.
Exercise anticipation and lifestyle habits significantly predict physical activity in older adults. These factors can guide interventions to enhance regular physical activity and improve lower limb function.
Area of Science:
- Gerontology
- Exercise Science
- Public Health
Background:
- Assessing lower limb function in the elderly is crucial for maintaining independence and quality of life.
- The Time Up and Go (TUG) test is a widely used measure of mobility, balance, and agility in older adults.
- Understanding predictors of physical activity is essential for developing targeted interventions.
Purpose of the Study:
- To investigate the correlation between exercise anticipation, self-efficacy, and lower limb function in the elderly.
- To identify key predictors of physical activity in older adults.
- To explore the relationship between various psychological and behavioral factors and physical function.
Main Methods:
- A cross-sectional survey design was utilized, collecting data from 285 elderly participants.
- Validated questionnaires assessed exercise anticipation, self-efficacy (SEE), gait efficacy (mGES), and behavioral regulation (BREQ).
- The Time Up and Go (TUG) test and International Physical Activity Questionnaire (IPAQ) measured physical function and activity levels. Bayesian network modeling was employed to analyze correlations.
Main Results:
- The TUG test showed significant correlations with age, drinking habits, mGES, PEPPI-10, SEE, BREQ, exercise anticipation (EA), and IPAQ.
- Exercise anticipation (EA) and drinking habits were identified as significant predictors of physical activity in the elderly.
- Bayesian network analysis revealed EA and drinking as key indirect influencing factors on TUG, with a suitable prediction performance (AUC 59.6%) for IPAQ.
Conclusions:
- Exercise anticipation and lifestyle behaviors are effective predictors of physical activity capability in the elderly.
- Findings support the development of targeted interventions to promote regular physical activity and improve functional outcomes in older adults.
- Clinicians can leverage these insights to design effective strategies for enhancing elderly physical activity.
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