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Cognitive Function and Functional Mobility Predict Exercise Adherence in Older Adults Who Fall Publisher Pubmed



Davis JC1, 2 ; Rhodes RE2, 3 ; Khan KM2, 4 ; Mansournia MA5, 6 ; Khosravi A7 ; Chan P2, 8, 9, 10 ; Zhao M2, 8, 9, 10 ; Jehu DA2, 8, 9, 10 ; Liuambrose T2, 8, 9, 10
Authors
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Authors Affiliations
  1. 1. Social and Economic Change Laboratory, Faculty of Management, University of British Columbia - Okanagan, Kelowna, BC, Canada
  2. 2. Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, BC, Canada
  3. 3. Behavioural Medicine Laboratory, School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
  4. 4. Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
  5. 5. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
  8. 8. Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
  9. 9. Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
  10. 10. Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada

Source: Gerontology Published:2021


Abstract

Introduction: Strength and balance exercises prevent falls. Yet, exercise adherence is often low. To maximize the benefit of exercise on falls prevention, we aimed to identify baseline cognitive and mobility factors that predict adherence to the Otago Exercise Program (OEP) - a home-based exercise program proven to prevent falls. Methods: We conducted a secondary longitudinal analysis of data from a randomized clinical trial (RCT) (OEP compared with usual care) among 172 participants who were assigned to the OEP intervention of the RCT. Adherence to the OEP was calculated as a percent score (i.e., [frequency of strength and balance retraining session per week/3 strength and balance retraining sessions per week] × 100). Executive function (i.e., mental flexibility) was measured using the Trail Making Tests (Part A and B: TMT B - TMT A) and the Digit Symbol Substitution Test (DSST). Short-term memory and encoding was measured using the Verbal Digits Forward test. Executive function (i.e., inhibition and working memory) was measured using the Stroop Color-Word Test and the Verbal Digits Forward minus Verbal Digits Backward test. Mobility was assessed using the Short Performance Physical Battery and the Timed Up and Go test. We used general estimation equations analysis to determine the predictors of adherence to the OEP. Results: Better set shifting (β = -0.06, z = -2.43, [SE = 0.02] p = 0.018] predicted greater OEP adherence. Greater attention and short-term memory (β = -6.99, z = -2.37 [SE = 2.95]) predicted poorer OEP adherence. Response inhibition, processing speed, working memory, and mobility assessed by the SPPB were not associated with adherence. Poorer baseline Timed Up and Go (β = 1.48 z = 1.94, [SE = 0.76]; p < 0.001), predicted better OEP adherence. Conclusion: Specific cognitive processes (i.e., executive function of set shifting, attention, and short-term memory) and functional mobility predicted exercise adherence. Further research needs to explore the pathways that explain why better attention and short-term memory predicted lower adherence and why poorer functional mobility led to better OEP adherence. © 2021 S. Karger AG. All rights reserved.
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