TY - JOUR
T1 - Association of balance measures and perception of fall risk on gait speed
T2 - A multiple regression analysis
AU - Rogers, Helen L.
AU - Cromwell, Ronita L.
AU - Newton, Roberta A.
N1 - Funding Information:
Received 22 February 2004; accepted 21 July 2004. This study was funded in part by grant 1-R03-AG16884-01 from the National Institute on Aging. Address correspondence to Helen L. Rogers, Assistant Professor, Department of Physical Therapy, UTMB—SAHS, 301 University Boulevard, Route 1144, Galveston, TX 77555-1144, USA. E-mail: [email protected]
PY - 2005
Y1 - 2005
N2 - Gait speed, commonly modified to adapt to the balance and stability challenges of aging, is related to measures of balance and mobility. This study investigated associations between age, Berg Balance Scale, Activities-Specific Balance Confidence (ABC) Scale, One Question Fear of Falling (1QFOF), and gait speed in adults using regression analysis. Results suggested an interaction between 1QFOF and ABC scores. An expanded five-variable model explained 49% of gait speed variance. Age, ABC, and 1QFOF-ABC interactions were significantly associated with gait speed. Regression analysis is useful in investigating associations between performance variables and function. Continued research needs to identify optimal variable combinations and improve prediction of function.
AB - Gait speed, commonly modified to adapt to the balance and stability challenges of aging, is related to measures of balance and mobility. This study investigated associations between age, Berg Balance Scale, Activities-Specific Balance Confidence (ABC) Scale, One Question Fear of Falling (1QFOF), and gait speed in adults using regression analysis. Results suggested an interaction between 1QFOF and ABC scores. An expanded five-variable model explained 49% of gait speed variance. Age, ABC, and 1QFOF-ABC interactions were significantly associated with gait speed. Regression analysis is useful in investigating associations between performance variables and function. Continued research needs to identify optimal variable combinations and improve prediction of function.
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U2 - 10.1080/03610730590915434
DO - 10.1080/03610730590915434
M3 - Article
C2 - 15981796
AN - SCOPUS:15244354636
SN - 0361-073X
VL - 31
SP - 191
EP - 203
JO - Experimental Aging Research
JF - Experimental Aging Research
IS - 2
ER -