Exploring Dual-Task Performance Relationships for Veterans with Lower-Limb Amputation
- PMID: 39688141
- PMCID: PMC12170914
- DOI: 10.1080/07380577.2024.2442016
Exploring Dual-Task Performance Relationships for Veterans with Lower-Limb Amputation
Abstract
Adults with lower-limb (LL) amputation have difficulty dual-tasking which may elicit falls and is required for instrumental activities of daily living (IADLs). The purpose of this study was to explore the relationships between dual-task performance, falls, and IADLs for Veterans with LL amputation. A cross-sectional study was completed with dual-task performance, retrospective fall reporting, and participation in IADLs. Dual-task performance varied across participants (n = 24) and although it was not significantly correlated to IADL participation, the relationships between dual-tasking, falls, and IADLs warrants further study to maximize dual-task training that can translate to everyday life.
Keywords: dual-task performance; dual-task tradeoff; falls; instrumental activities of daily living; lower-limb amputation; recurrent fallers.
Conflict of interest statement
Declaration of interest
The authors report no conflicts of interest. Some authors are employed through the Veterans Administration or were employed at the time of the study. The contents of this manuscript are the authors’ sole responsibility and do not necessarily represent the views of the US Department of Veterans Affairs or the US Government.
Figures
References
-
- American Occupational Therapy Association. (2020). Occupational therapy practice framework: Domain and process (4th ed.). AJOT: American Journal of Occupational Therapy, 74, 7412410010. 10.5014/ajot.2020.74S2001 - DOI
-
- Anderson CB, Miller MJ, Murray AM, Fields TT, So NF, & Christiansen CL (2021). Falls after dysvascular transtibial amputation: A secondary analysis of falling characteristics and reduced physical performance. PM & R: The Journal of Injury, Function, and Rehabilitation, 13(1), 19–29. 10.1002/pmrj.12376 - DOI - PMC - PubMed
-
- Bonett DG, & Wright TA (2000). Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika, 65(1), 23–28. 10.1007/BF02294183 - DOI
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical