Dynamic postural stability and falls prediction in older people during walking in real-world environments. [ 2007 - 2009 ]

Research Grant

Researchers: Prof Graham Kerr (Principal investigator) ,  Dr James Smeathers ,  Mr Justin Kavanagh ,  Prof Jacek Cholewicki ,  Prof Paul Hodges
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Brief description The increased occurrence of falls with advancing age (33-50% of people aged >65 years) is a significant cause of mortality (1014 deaths in 1998), morbidity, and disability, affecting not only the individuals concerned, but the health care system (45,069 fall related hospitalizations in 1998 in Australia) and the broader community (National falls Prevention Initiative, 2004). Although there are a number of falls risk tests, most rely on determination of body sway while standing when the body is static rather than in motion. Given that up to 70% of falls occur during walking and performing transfers, there is a clear need to develop tests of falls risk prediction that incorporate indices of postural stability measured during more dynamic activities. Test development needs to be underpinned by clear evidence of how age-related sensory and motor deficits affect postural stability during walking. The studies outlined in this application will develop and utilise new accelerometer-based technologies to determine the fundamental mechanisms underlying balance control during walking in older people. Specifically, this project will aim to develop a clear understanding of how changes in factors as vision, neuromuscular function (strength, stiffness) and proprioception contribute to the overall decline in stability and balance during walking in older people. Combined with physiological assessment measures developed by the research team, the research will allow the development of a more definitive predictive test of stability and falls risk. This test will be able to be used by health professionals for assessment of older people to determine the most effective therapeutic and-or exercise interventions to target those individuals at risk. This technology will also be adaptable to a biofeedback device to allow individuals to monitor their own stability.

Funding Amount $AUD 680,793.23

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant