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Updated: Jul 19, 2026
05:26
Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults
Published on: October 25, 2024
Predictors of falling in older Maryland drivers: a structural-equation model
David E Vance1, Karlene K Ball, Daniel L Roenker
1Department of Psychology, University of Alabama at Birmingham, AL 358993, USA.
Journal of Aging and Physical Activity
|November 9, 2006
Summary
Older adults
Area of Science:
- Gerontology
- Public Health
- Epidemiology
Background:
- Falls significantly impact older adults' health and quality of life.
- Existing research often examines factors individually, lacking comprehensive causal models for falls.
Purpose of the Study:
- To investigate the causal relationships between cognitive ability, physical functioning, health status, and falling behavior in older adults.
- To develop and test a structural equation model explaining fall risk in this demographic.
Main Methods:
- Structural equation modeling was employed.
- Data were collected from 694 older adult drivers in Maryland.
- Measures included cognitive, physical-performance, and health assessments.
Main Results:
- Age-related cognitive decline was associated with increased falling.
- Poorer health status predicted reduced physical functioning, which in turn predicted increased falling.
- A direct relationship between age and falling was not observed, potentially due to fear of falling.
Conclusions:
- Fall prevention strategies should consider interventions targeting cognitive function and health status, alongside physical functioning improvements.
- Cognitive and health-related factors play a crucial role in the multifactorial etiology of falls in older adults.
- Further research is needed to explore the mediating role of fear of falling.
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