Variables that Influence Basic Prosthetic Mobility in People With Non-Vascular Lower Limb Amputation

Robert Gailey, Sheila Clemens, Jeffrey Sorensen, Neva Kirk-Sanchez, Ignacio Gaunaurd, Michele Raya, Glenn Klute, Paul Pasquina

Research output: Contribution to journalArticle

Abstract

Background: There exists a dearth of evidence on rehabilitation factors that influence prosthetic mobility in people with lower limb amputation (LLA). Examining variables that contribute to prosthetic mobility can inform rehabilitation interventions, providing guidance in developing more comprehensive care for these individuals. Objective: To determine the influence of modifiable and non-modifiable variables related to LLA and their impact on prosthetic mobility, using the International Classification of Functioning, Disability and Health (ICF) model. Secondarily, to determine if personal factors and self-reported balance and mobility are predictive of Component timed-up-and-go (cTUG) performance. Design: Cross-sectional study of a convenience sample. Setting: National conference. Participants: People (N=68) with non-vascular causes of unilateral LLA. Methods: Assessment of anthropometrics, mobility, bilateral hip extensor strength, hip range of motion, single limb balance, and self report measures. Lasso linear regression and extreme gradient boosting analyses were used to determine influence of variables on prosthetic mobility. Main Outcome Measure: Timed performance of the cTUG. Results: The following five variables were found to influence basic prosthetic mobility (P ≤.05) in people with transtibial amputation: hip extensor strength, hip range of motion, single limb balance, waist circumference, and age. In the transfemoral cohort, number of comorbidities and waist circumference primarily influenced prosthetic mobility. Additionally, 66% of the variance in cTUG total time for the entire sample could be explained by simply regressing on level of amputation, number of comorbidities, age and Activities-specific Balance Confidence scale score, all variables easily collected in a waiting room. Conclusion: Variables that are modifiable with physical therapy intervention including hip extensor strength, hip range of motion, single limb balance, and waist circumference significantly influenced basic prosthetic mobility. These variables can be affected by targeted rehabilitation interventions and lifestyle changes. Level of Evidence: II.

Original languageEnglish (US)
JournalPM and R
DOIs
StateAccepted/In press - Jan 1 2019

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Amputation
Hip
Lower Extremity
Waist Circumference
Articular Range of Motion
Rehabilitation
Extremities
Comorbidity
International Classification of Functioning, Disability and Health
Self Report
Life Style
Linear Models
Cross-Sectional Studies
Outcome Assessment (Health Care)

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation
  • Neurology
  • Clinical Neurology

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Variables that Influence Basic Prosthetic Mobility in People With Non-Vascular Lower Limb Amputation. / Gailey, Robert; Clemens, Sheila; Sorensen, Jeffrey; Kirk-Sanchez, Neva; Gaunaurd, Ignacio; Raya, Michele; Klute, Glenn; Pasquina, Paul.

In: PM and R, 01.01.2019.

Research output: Contribution to journalArticle

Gailey, Robert ; Clemens, Sheila ; Sorensen, Jeffrey ; Kirk-Sanchez, Neva ; Gaunaurd, Ignacio ; Raya, Michele ; Klute, Glenn ; Pasquina, Paul. / Variables that Influence Basic Prosthetic Mobility in People With Non-Vascular Lower Limb Amputation. In: PM and R. 2019.
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abstract = "Background: There exists a dearth of evidence on rehabilitation factors that influence prosthetic mobility in people with lower limb amputation (LLA). Examining variables that contribute to prosthetic mobility can inform rehabilitation interventions, providing guidance in developing more comprehensive care for these individuals. Objective: To determine the influence of modifiable and non-modifiable variables related to LLA and their impact on prosthetic mobility, using the International Classification of Functioning, Disability and Health (ICF) model. Secondarily, to determine if personal factors and self-reported balance and mobility are predictive of Component timed-up-and-go (cTUG) performance. Design: Cross-sectional study of a convenience sample. Setting: National conference. Participants: People (N=68) with non-vascular causes of unilateral LLA. Methods: Assessment of anthropometrics, mobility, bilateral hip extensor strength, hip range of motion, single limb balance, and self report measures. Lasso linear regression and extreme gradient boosting analyses were used to determine influence of variables on prosthetic mobility. Main Outcome Measure: Timed performance of the cTUG. Results: The following five variables were found to influence basic prosthetic mobility (P ≤.05) in people with transtibial amputation: hip extensor strength, hip range of motion, single limb balance, waist circumference, and age. In the transfemoral cohort, number of comorbidities and waist circumference primarily influenced prosthetic mobility. Additionally, 66{\%} of the variance in cTUG total time for the entire sample could be explained by simply regressing on level of amputation, number of comorbidities, age and Activities-specific Balance Confidence scale score, all variables easily collected in a waiting room. Conclusion: Variables that are modifiable with physical therapy intervention including hip extensor strength, hip range of motion, single limb balance, and waist circumference significantly influenced basic prosthetic mobility. These variables can be affected by targeted rehabilitation interventions and lifestyle changes. Level of Evidence: II.",
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AU - Clemens, Sheila

AU - Sorensen, Jeffrey

AU - Kirk-Sanchez, Neva

AU - Gaunaurd, Ignacio

AU - Raya, Michele

AU - Klute, Glenn

AU - Pasquina, Paul

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N2 - Background: There exists a dearth of evidence on rehabilitation factors that influence prosthetic mobility in people with lower limb amputation (LLA). Examining variables that contribute to prosthetic mobility can inform rehabilitation interventions, providing guidance in developing more comprehensive care for these individuals. Objective: To determine the influence of modifiable and non-modifiable variables related to LLA and their impact on prosthetic mobility, using the International Classification of Functioning, Disability and Health (ICF) model. Secondarily, to determine if personal factors and self-reported balance and mobility are predictive of Component timed-up-and-go (cTUG) performance. Design: Cross-sectional study of a convenience sample. Setting: National conference. Participants: People (N=68) with non-vascular causes of unilateral LLA. Methods: Assessment of anthropometrics, mobility, bilateral hip extensor strength, hip range of motion, single limb balance, and self report measures. Lasso linear regression and extreme gradient boosting analyses were used to determine influence of variables on prosthetic mobility. Main Outcome Measure: Timed performance of the cTUG. Results: The following five variables were found to influence basic prosthetic mobility (P ≤.05) in people with transtibial amputation: hip extensor strength, hip range of motion, single limb balance, waist circumference, and age. In the transfemoral cohort, number of comorbidities and waist circumference primarily influenced prosthetic mobility. Additionally, 66% of the variance in cTUG total time for the entire sample could be explained by simply regressing on level of amputation, number of comorbidities, age and Activities-specific Balance Confidence scale score, all variables easily collected in a waiting room. Conclusion: Variables that are modifiable with physical therapy intervention including hip extensor strength, hip range of motion, single limb balance, and waist circumference significantly influenced basic prosthetic mobility. These variables can be affected by targeted rehabilitation interventions and lifestyle changes. Level of Evidence: II.

AB - Background: There exists a dearth of evidence on rehabilitation factors that influence prosthetic mobility in people with lower limb amputation (LLA). Examining variables that contribute to prosthetic mobility can inform rehabilitation interventions, providing guidance in developing more comprehensive care for these individuals. Objective: To determine the influence of modifiable and non-modifiable variables related to LLA and their impact on prosthetic mobility, using the International Classification of Functioning, Disability and Health (ICF) model. Secondarily, to determine if personal factors and self-reported balance and mobility are predictive of Component timed-up-and-go (cTUG) performance. Design: Cross-sectional study of a convenience sample. Setting: National conference. Participants: People (N=68) with non-vascular causes of unilateral LLA. Methods: Assessment of anthropometrics, mobility, bilateral hip extensor strength, hip range of motion, single limb balance, and self report measures. Lasso linear regression and extreme gradient boosting analyses were used to determine influence of variables on prosthetic mobility. Main Outcome Measure: Timed performance of the cTUG. Results: The following five variables were found to influence basic prosthetic mobility (P ≤.05) in people with transtibial amputation: hip extensor strength, hip range of motion, single limb balance, waist circumference, and age. In the transfemoral cohort, number of comorbidities and waist circumference primarily influenced prosthetic mobility. Additionally, 66% of the variance in cTUG total time for the entire sample could be explained by simply regressing on level of amputation, number of comorbidities, age and Activities-specific Balance Confidence scale score, all variables easily collected in a waiting room. Conclusion: Variables that are modifiable with physical therapy intervention including hip extensor strength, hip range of motion, single limb balance, and waist circumference significantly influenced basic prosthetic mobility. These variables can be affected by targeted rehabilitation interventions and lifestyle changes. Level of Evidence: II.

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