Impact of muscle power and force on gait speed in disabled older men and women.

BACKGROUND The purpose of this study was to explore the relationship between muscle power output at different external resistances and performance of functional tasks. The authors hypothesized that power at 40% skeletal muscle 1 repetition maximum (1RM), in which contraction velocity is high, would explain more of the variability in tasks such as level walking than would peak power or 1RM strength, in which contraction velocity is lower. METHODS Participants were men and women (n = 48; ages 65-91 years) with physical disability as evidenced by 2 or more deficits on the Medical Outcomes Study Short Form physical function subscale or a score of 9 or less on the Established Populations for the Epidemiologic Studies of the Elderly short physical performance battery. Muscle strength (1RM) was measured using a bilateral leg press exercise, and power output was determined by selecting the highest power output from 6 different contraction velocities: 40%, 50%, 60%, 70%, 80%, and 90% 1RM. Functional performance tasks consisted of habitual gait velocity (HGV) and stair climb (SC) and chair rise (CR) performance. Separate linear regression models were fit for each of the 3 dependent variables (SC, CR, HGV) using 1RM strength, power at 70% 1RM, and power at 40% 1RM as independent variables. All models were adjusted for age, body mass, and sex. RESULTS Lower extremity power at 70% and 40% 1RM demonstrated greater associations with SC and HGV than did 1RM strength, whereas power at 40% 1RM demonstrated similar or stronger associations with all functional tasks compared with 1RM strength. Power at 40% 1RM explained the same or more of the variability in SC (R(2) = .42 [regression coefficient = -.169 +/- .06] vs .43 [-.206 +/- .071]), CR (R(2) = .28 [-.154 +/- .057] vs .24 [-.152 + .070]) and HGV (R(2) = .59 [.214 + .37] vs .51 [.223 +/- .049]) compared with power at 70% 1RM. Power at 40% 1RM explained more of the variability in the lower intensity (HGV) compared with the higher intensity (SC or CR) functions. CONCLUSIONS Power output at 40% of 1RM explained more of the variability in HGV than did power at 70% 1RM, suggesting that measures such as HGV that require a lower percentage of maximal strength to perform might be more sensitive to differences in contraction velocity. Because HGV is highly predictive of subsequent disability, future studies should evaluate the determinants of muscle power output at low external resistances.

[1]  R. Fielding,et al.  Weighted Stair Climbing in Mobility‐Limited Older People: A Pilot Study , 2002, Journal of the American Geriatrics Society.

[2]  Jonathan Bean,et al.  High‐Velocity Resistance Training Increases Skeletal Muscle Peak Power in Older Women , 2002, Journal of the American Geriatrics Society.

[3]  Suzanne G. Leveille,et al.  The Relationship Between Leg Power and Physical Performance in Mobility‐Limited Older People , 2002, Journal of the American Geriatrics Society.

[4]  Jonathan F. Bean,et al.  Muscle Power of the Ankle Flexors Predicts Functional Performance in Community‐Dwelling Older Women , 2001 .

[5]  G. Salem,et al.  Knee strength and lower- and higher-intensity functional performance in older adults. , 2000, Medicine and science in sports and exercise.

[6]  Suzanne G. Leveille,et al.  Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[7]  Jeffrey M. Hausdorff,et al.  Association of muscle power with functional status in community-dwelling elderly women. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[8]  Suzanne G. Leveille,et al.  Coimpairments: strength and balance as predictors of severe walking disability. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[9]  A M Jette,et al.  Interrelationships among disablement concepts. , 1998, The journals of gerontology. Series A, Biological sciences and medical sciences.

[10]  R. Conwit,et al.  Age-associated loss of power and strength in the upper extremities in women and men. , 1997, The journals of gerontology. Series A, Biological sciences and medical sciences.

[11]  L. Ferrucci,et al.  Departures from linearity in the relationship between measures of muscular strength and physical performance of the lower extremities: the Women's Health and Aging Study. , 1997, The journals of gerontology. Series A, Biological sciences and medical sciences.

[12]  R. Fielding,et al.  Leg power in young women: relationship to body composition, strength, and function. , 1996, Medicine and science in sports and exercise.

[13]  E H Wagner,et al.  Evidence for a non-linear relationship between leg strength and gait speed. , 1996, Age and ageing.

[14]  R. Fielding,et al.  LEG EXTENSOR POWER IN YOUNG WOMEN: FUNCTIONAL CORRELATES AND RELATIONSHIP TO BODY COMPOSITION AND STRENGTH 302 , 1996 .

[15]  M. Brown,et al.  The relationship of strength to function in the older adult. , 1995, The journals of gerontology. Series A, Biological sciences and medical sciences.

[16]  J. M. Davies,et al.  Strength, power and related functional ability of healthy people aged 65-89 years. , 1994, Age and ageing.

[17]  S B Roberts,et al.  Exercise training and nutritional supplementation for physical frailty in very elderly people. , 1994, The New England journal of medicine.

[18]  L. Ferrucci,et al.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. , 1994, Journal of gerontology.

[19]  B E Ainsworth,et al.  Accuracy of the College Alumnus Physical Activity Questionnaire. , 1993, Journal of clinical epidemiology.

[20]  A. Jette,et al.  The Physical Activity Scale for the Elderly (PASE): development and evaluation. , 1993, Journal of clinical epidemiology.

[21]  S. Studenski,et al.  Functional reach: predictive validity in a sample of elderly male veterans. , 1992, Journal of gerontology.

[22]  L. Lipsitz,et al.  High-intensity strength training in nonagenarians. Effects on skeletal muscle. , 1990, JAMA.

[23]  S. Folstein,et al.  “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .

[24]  P. Schnohr,et al.  Muscle strength and functional capacity in 78–81-year-old men and women , 2004, European Journal of Applied Physiology and Occupational Physiology.

[25]  J. Ware SF-36 health survey: Manual and interpretation guide , 2003 .

[26]  S. Studenski,et al.  Is lower extremity strength gain associated with improvement in physical performance and disability in frail, community-dwelling elders? , 1998, Archives of physical medicine and rehabilitation.

[27]  C. Davies,et al.  Adaptive response of mammalian skeletal muscle to exercise with high loads , 1984, European Journal of Applied Physiology and Occupational Physiology.

[28]  V. Leirer,et al.  Development and validation of a geriatric depression screening scale: a preliminary report. , 1982, Journal of psychiatric research.