Strength, Static Balance, Physical Activity, and Age Predict Maximal Gait Speed in Healthy Older Adults From a Rural Community: A Cross-Sectional Study

J Aging Phys Act. 2015 Oct;23(4):580-7. doi: 10.1123/japa.2014-0081. Epub 2015 Jan 16.

Abstract

Purpose: Gait speed is related to physical function in older adults. This cross-sectional study examined the best predictors of maximal gait speed (MGS) among physical abilities, and general factors in healthy, rural community-dwelling older adults.

Methods: MGS, muscle strength, and postural sway were measured in 55 community-dwelling participants (age, 72.1 ± 6.8, range 61-87 years; 72.7% women). Two stepwise regressions were used to find MGS predictors in two models: physical abilities and global.

Results: Strength of knee extensors with 60° of knee flexion (KStrength60°) and maximal distance in the anterior-posterior direction with eyes closed explained 50.2% of MGS variance (p < .05) in the physical abilities model. KStrength60°, age, and level of physical activity explained 63.9% of MGS variance (p < .05) in the global model.

Conclusions: Regardless of the model, KStrength60° was the best predictor of MGS in rural female older adults. Future research should examine the generalization of these findings to rural male older adults.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Female
  • Gait / physiology*
  • Geriatric Assessment
  • Humans
  • Male
  • Middle Aged
  • Motor Activity / physiology*
  • Muscle Strength / physiology
  • Postural Balance / physiology*
  • Predictive Value of Tests
  • Rural Population
  • Spain