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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Validity of simple gait related dual task tests in predicting falls in community dwelling older adults

Muhaidat, Jennifer and Kerr, Andrew and Evans, Jonathan J. and Pilling, Mark and Skelton, Dawn A. (2014) Validity of simple gait related dual task tests in predicting falls in community dwelling older adults. Archives of Physical Medicine and Rehabilitation, 95 (1). pp. 58-64. ISSN 0003-9993

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Objective: To investigate the predictive validity of simple gait-related dual-task (DT) tests in predicting falls in community-dwelling older adults. Design: A validation cohort study with 6 months' follow-up. Setting: General community. Participants: Independently ambulant community-dwelling adults (N=66) aged ≥65 years, with normal cognitive function. Sixty-two completed the follow-up. No participants required frames for walking. Interventions: Not applicable. Main Outcome Measures: Occurrence of falls in the follow-up period and performance on primary and secondary tasks of 8 DT tests and 1 triple-task (TT) test. Results: A random forest classification analysis identified the top 5 predictors of a fall as (1) absolute difference in time between the Timed Up & Go (TUG) as a single task (ST) and while carrying a cup; (2) time required to complete the walking task in the TT test; (3 and 4) walking and avoiding a moving obstacle as an ST and while carrying a cup; and (5) performing the TUG while carrying a cup. Separate bivariate logistic regression analyses showed that performance on these tasks was significantly associated with falling (P<.01). Despite the random forest analysis being a more robust approach than multivariate logistic regression, it was not clinically useful for predicting falls. Conclusions: This study identified the most important outcome measures in predicting falls using simple DT tests. The results showed that measures of change in performance were not useful in a multivariate model when compared with an "allocated all to falls" rule.