1 / 10

Falls & Balance Research Group

Falls & Balance Research Group. Prof Stephen Lord A/Prof Jacqui Close Dr Richard Fitzpatrick. Dr Kim Delbaere Dr Jasmine Menant Dr Daina Sturnieks. Dr Alfred Wong Ms Jacqui Zheng Ms Joanne Lo Ms Melissa Brodie. Physiological profile assessment. Sensation. Vision. Balance. Speed.

navid
Download Presentation

Falls & Balance Research Group

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Falls & Balance Research Group Prof Stephen Lord A/Prof Jacqui Close Dr Richard Fitzpatrick Dr Kim Delbaere Dr Jasmine Menant Dr Daina Sturnieks Dr Alfred Wong Ms Jacqui Zheng Ms Joanne Lo Ms Melissa Brodie

  2. Physiological profile assessment Sensation Vision Balance Speed Strength

  3. 2.5 76 falls risk score normal population Classifies 75% of subjects correctly

  4. Falls data • Retrospective questionnaire • Prospective monthly calendars - phone calls • Additional measures of balance • Balance range, coordinated stability, choice stepping Participant numbers

  5. MAS Wave 1: Fear of falling study • Study coordinator: Dr. Kim Delbaere • Main research question: • To investigate the disparity between an individual’s actual (physiological) fall risk and their own perception of this fall risk (i.e. fear of falling) • Main finding: • Many elderly people under or over estimate their risk of falling • Disparities between perceived and physiological fall risk • are associated with psychological measures • influence the probability of falling • Main paper: • Delbaere, K., Close, J. C. T., Brodaty, H., Sachdev, P., & Lord, S. R. (2010). Determinants of disparities between perceived and physiological risk of falling among elderly people: Cohort study. BMJ, 341(7770). • World-wide media attention, e.g. NY Times, The Guardian, UK Telegraph, etc

  6. MAS Wave 1: Fear of falling study • Summary of other published papers: • Concern about falls elicits changes in gait parameters in conditions of postural threat in older people. Delbaere K, et al. J Gerontol Med Sci, 2009. • Evaluation of the Incidental and Planned Exercise Questionnaire (IPEQ) for older people. Delbaere K, et al. Brit J Sports Med, 2009. • A comprehensive longitudinal validation study of the Falls Efficacy Scale International (FES-I). Delbaere K, et al. Age Ageing, 2010. • Multifactorial approach to understanding fall risk in older people: Delbaere K, et al. JAGS, 2010. • Summary of submitted papers: • White Matter Hyperintensities and impaired choice stepping reaction time in older people. Zheng J, et al. Submitted in revised form to Neurobiol Aging Oct 2010 • Low serum vitamin D levels are associated with increased fall risk. Menant J, et al. Submitted to Osteoporosis Int Oct 2010 • Summary of papers in preparation, with planned submission in 2010: • Can MCI classification predict falls in older people ? Delbaere K • What causes fear of falling, using a 2-year follow-up ? Delbaere K • Are WMH associated with falls ? Zheng J • Can WMH predict functional decline over time ? Zheng J • Is the use of statins associated with falls ? Haerer W • PhD Jacqueline Zheng with planned submission March 2011 • Neuroanatomical, physiological and neuropsychological contributors to fall risk in older people

  7. Knee extension strength (β=0.330) • Body weight (β=-0.459) • ML postural sway range (β=-0.208) • Ankle strength (β=0.207) • 24.8% • Hip abduction strength (β=0.419) • Postural sway path (β=0.219) • 22.6% • Reaction time (β=-0.280) • ML postural sway range (β=-0.296) • 19.8% 100 * non-faller faller 80 60 Force threshold to step (N) 40 20 0 anterior posterior lateral Wave 2: Protective stepping Study coordinators: Jasmine Menant & Daina Sturnieks n=534

  8. Wave 2: Protective stepping 1. Force thresholds for stepping in young and old adults – physiological correlates, previous fallers 2. Stepping as a predictor of future falls 3. Cognitive distraction, cognitive performance and protective stepping 4. Characteristics of stepping in older people (kinematics)

  9. Wave 3: Body Composition Study coordinators: Jasmine Menant & Daina Sturnieks • Aims • - Relationship between body composition, neuromuscular control, balance control and walking stability • - Is body composition a predictor of falls? • - Can falls incidence, lower limb strength, balance, gait and stepping in addition to femoral neck bone density improve the prediction of fractures? • Protocol and progress with data collection

  10. Wave 3: Body Composition • Potential papers • Neuromuscular mechanisms underlying the relationship between body composition and physical function in older people • Body composition phenotype as a predictor of future falls • Relationship between body composition, neuromuscular function,hip bone mineral density and fracture risk • Do prospective falls improve the prediction of fracture risk beyond hip bone mineral density measurements? • Posters – ANZ falls prevention conference – Nov 2010 • Physiological factors associated with fracture risk – Lo et al • Relationship between sarcopenia, fat mass and balance in older adults - Brodie et al

More Related