The purpose of this study was to examine the criterion-related validity of two indirect measures of energy expenditure (EE): American College of Sports Medicine (ACSM) predictive equations, and estimated EE based on the Caltrac accelerometer. These measures were compared in 20 community-dwelling older men and women (mean age 71 years). The strength of the relationships among major determinants of EE during self-selected speeds of treadmill and outdoor walking was also examined. EE measured by respiratory gas analysis during an exercise stress test was highly correlated with ACSM predictive equations and poorly correlated with Caltrac. Multivariate regression equations were established to evaluate the ability of independent variables—body weight and height, age, and preferred treadmill walking speed—to predict EE (dependent variable). It was concluded that the ACSM predictive equations are suitable for use in elderly individuals, and that the apparent differences in the relationships between treadmill and outdoor walking speeds on EE deserve further investigation.
David Alexander Leaf is with the Department of Medicine, West Los Angeles VA Medical Center, UCLA School of Medicine, Los Angeles, CA 90073. Holden MacRae is with the Department of Sports Medicine, Pepperdine University, Malibu, CA 90263.