Construct validity of Comprehensive High-Level Activity Mobility Predictor (CHAMP) for male servicemembers with traumatic lower-limb loss

Gailey, Robert; Scoville, Charles R.; Gaunaurd, Ignacio; Raya, Michele A.; Linberg, Alison; Stoneman, Paul D.; Campbell, Stephen; Roach, Kathryn E.

doi:10.1682/jrrd.2012.05.0100

Cited by 44 publications

(48 citation statements)

References 29 publications

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“…The mean Amputee Mobility Predictor with Prosthesis scores demonstrate that both unilateral and multiple amputees achieved mobility comparable with that of active adults and community ambulators with lower limb loss, respectively. 7 A recent study 16 of US service members with lower limb loss who had completed rehabilitation reported comparable findings (mean Amputee Mobility Predictor with Prosthesis scores between 41 and 46 in unilateral amputee and bilateral amputee groups). This is important because it demonstrates, for the first time, the similarities in functional mobility achieved between US and UK military personnel injured during the Iraq and Afghanistan conflicts.…”

Section: Discussionmentioning

confidence: 88%

Functional and Mental Health Status of United Kingdom Military Amputees Postrehabilitation

Ladlow

Phillip²,

Etherington³

et al. 2015

Archives of Physical Medicine and Rehabilitation

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Section: Discussionmentioning

confidence: 88%

Functional and Mental Health Status of United Kingdom Military Amputees Postrehabilitation

Ladlow

Phillip²,

Etherington³

et al. 2015

Archives of Physical Medicine and Rehabilitation

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“…There are several examples in which servicemembers who participated in intensive rehabilitation programs and had access to regular prosthetic care demonstrated smaller deficits than previously reported. For example, they have performed similarly to their nondisabled counterparts in areas such as activity performance, gait biomechanics, and walking stability [34][35][36][37][38][39][40][41]. It is important to recognize that the similarities observed here and elsewhere, while encouraging, do not represent an absence of dysfunction or the full restoration of function in all people or across all aspects of life.…”

Section: Russell Esposito Et Al Metabolic Demand Of Walking In Amputeesmentioning

confidence: 83%

Does unilateral transtibial amputation lead to greater metabolic demand during walking?

et al. 2014

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Abstract-Previous literature reports greater metabolic demand of walking following transtibial amputation. However, most research focuses on relatively older, less active, and often dysvascular amputees. Servicemembers with traumatic amputation are typically young, fit, and highly active before and often following surgical amputation of their lower limb. This study compared the metabolic demand of walking in young, active individuals with traumatic unilateral transtibial amputation (TTA) and nondisabled controls. Heart rate (HR), rate of oxygen consumption, and rating of perceived exertion (RPE) were calculated as subjects walked at a self-selected velocity and at five standardized velocities based on leg length. The TTA group completed a Prosthetics Evaluation Questionnaire. Oxygen consumption (p = 0.89), net oxygen consumption (p = 0.32), and RPE (p = 0.14) did not differ between groups. Compared with controls, HR was greater in the TTA group and increased to a greater extent with velocity (p < 0.001). Overall, the TTA group rated their walking abilities as high (mean: 93% out of 100%). This is the first study to report equivalent metabolic demand between persons with amputation and controls walking at the same velocity. These results may reflect the physical fitness of the young servicemembers with traumatic amputations and may serve to guide outcome expectations in the future.

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“…Impairment variables of THES, SLB, hip extension, RoM restriction, and waist circumference comprised modifiable variables that can be directly influenced by rehabilitation intervention. Nonmodifiable personal factors of age and number of comorbidities were included in the regression analyses, since both variables have been associated with a decline in mobility in people with LLA …”

Section: Discussionmentioning

confidence: 99%

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

Gailey

Clemens

Sorensen

et al. 2019

PM&R

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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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Construct validity of Comprehensive High-Level Activity Mobility Predictor (CHAMP) for male servicemembers with traumatic lower-limb loss

Cited by 44 publications

References 29 publications

Functional and Mental Health Status of United Kingdom Military Amputees Postrehabilitation

Functional and Mental Health Status of United Kingdom Military Amputees Postrehabilitation

Does unilateral transtibial amputation lead to greater metabolic demand during walking?

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

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