Predictors of falling in older Maryland drivers : a structural-equation model.

Author(s)
Vance, D.E. Ball, K.K. Roenker, D.L. Wadley, V.G. Edwards, J.D. & Cissell, G.M.
Year
Abstract

Falls can impair health and reduce quality of life among older adults. Although many factors are related to falling, few analyses examine causal models of this behaviour. In this study, factors associated with falling were explored simultaneously using structural-equation modelling. A variety of cognitive, physical-performance, and health measures were administered to 694 older adult drivers from the state of Maryland. The observed and latent variables of age, cognitive ability, physical functioning, health, and falling behaviour were used to create a causal model. The model revealed that being older was associated with declines in cognition, and such cognitive declines predicted increased falling. Similarly, poorer health was related to poorer physical functioning, which, in turn, also predicted increased falling. This model indicates that in addition to existing fall-prevention interventions aimed at improving physical functioning, interventions to improve cognition and health might also be effective. It is speculated that fear of falling, which often results in reduced mobility among older adults, might account for the lack of a direct relationship between age and falling. This hypothesis should be examined in further research. (Author/publisher)

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Publication

Library number
20061894 ST [electronic version only]
Source

Journal of Aging and Physical Activity, Vol. 14 (2006), No. 3 (July), p. 254-269, 54 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.