title: Use of a physiological profile to document motor impairment in ageing and in clinical groups.
abstract: Ageing decreases exercise performance and is frequently accompanied by reductions in cognitive performance. Deterioration in the physiological capacity to stand, locomote and exercise can manifest itself as falling over and represents a significant deterioration in sensorimotor control. In the elderly, falling leads to serious morbidity and mortality with major societal costs. Measurement of a suite of physiological capacities that are required for successful motor performance (including vision, muscle strength, proprioception and balance) has been used to produce a physiological profile assessment (PPA) which has been tracked over the age spectrum and in different diseases (e.g. multiple sclerosis, Parkinson's disease). As well as measures of specific physiological capacities, the PPA generates an overall 'score' which quantitatively measures an individual's cumulative risk of falling. The present review collates data from the PPA (and the physiological capacities it measures) as well as its use in strategies to reduce falls in the elderly and those with different diseases. We emphasise that (i) motor impairment arises via reductions in a wide range of sensorimotor abilities; (ii) the PPA approach not only gives a snapshot of the physiological capacity of an individual, but it also gives insight into the deficits among groups of individuals with particular diseases; and (iii) deficits in seemingly restricted and disparate physiological domains (e.g. vision, strength, cognition) are funnelled into impairments in tasks requiring upright balance. Motor impairments become more prevalent with ageing but careful physiological measurement and appropriate interventions offer a way to maximise health across the lifespan.
authors.affiliation: Neuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales, 2031, Australia.
authors.forename: S R
authors.initials: SR
authors.lastname: Lord
authors.affiliation: Neuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales, 2031, Australia.
authors.forename: K
authors.initials: K
authors.lastname: Delbaere
authors.affiliation: Neuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales, 2031, Australia.
authors.forename: S C
authors.initials: SC
authors.lastname: Gandevia
mesh_terms: D000058:Accidental Falls; D000368:Aged; D000375:Aging / Q000502:physiology*; D015577:Geriatric Assessment / Q000379:methods*; D006801:Humans; D012306:Risk