Functional Mobility in Individuals With Lower Limb Amputation: An Observational Study

Amputation leads to a permanent disability and brings a dramatic change in the life and function of the individual, more so in individuals with lower limb amputation. A lower limb amputation reduces mobility and can make persons dependent on assistive devices like crutches or a wheelchair. Restoring mobility and optimal physical functioning of an individual with lower limb amputation is the most important rehabilitation goal. There are very few studies that have quantified mobility deficits with valid outcome measures, especially in the Indian population. Our study aims to quantify the mobility deficit in individuals with lower limb amputation and add to the scant literature available on mobility values in the Indian population.

This was a cross-sectional study. Individuals with lower limb amputation who attended an orthotic and prosthetic clinic in Vadodara city were recruited for the study. Those individuals who were above 18 years of age and had undergone either unilateral or bilateral amputation, at least six weeks prior to assessment, were included in the study. Those individuals who had total impairment of vision and hearing, cognitive impairment, upper limb amputation, and ankle and foot amputation were excluded from the study. Functional mobility was assessed with the prosthesis worn, using the Timed "Up and Go" (TUG) test.

There was a total of 54 individuals with lower limb amputation, 47 males and seven females. The mean age was 47.38±18.83 years. Transtibial (66.67%) was the most common amputation followed by transfemoral (27.8%). The mean TUG score for the total population was 20.19 ± 11.95 sec, for unilateral transfemoral amputation 20.26 ± 12.06 sec, and for unilateral transtibial amputation 20.01 ± 12.31 sec. There was a statistically significant direct relation of the TUG score with age (p=0.02), level of amputation (p<0.01), and length of time prosthesis was used (in years) (p=0.02) and a statistically significant inverse relation of TUG score with the cause of amputation (traumatic, p=0.02, non-traumatic, p=0.03), assistive devices used for mobility (p<0.01), and number of hours the prosthesis was worn in a day (p<0.01). There was a significant negative correlation between the duration of amputation and TUG score (r=-0.282, p<0.05) Conclusion: The functional mobility was reduced in individuals with lower limb amputation. There was a statistically significant direct relation of functional mobility with age, cause of amputation, level of amputation, and length of time of prosthesis used, and a statistically significant inverse relation with the number of hours of use of prosthesis in a day and assistive devices used. Individuals who were old, had a non-traumatic amputation, a higher level of amputation, those wearing a prosthesis for a short duration since amputation, who wore the prosthesis for a shorter duration during the day, and who used assistive devices for ambulation in addition to a prosthesis had longer TUG times. As the duration of amputation increased, the time taken for TUG decreased.