title: Regression analysis of walking parameters for the age-predictive equation.
abstract: We tried to establish an age-predictive equation from kinematic and kinetic parameters during walking using the 2007 Okada database of Japanese elderly. Some predictive equations were established for each gender (109 males and 139 females)--once for all variables, second for the stepwise variable selection method. The range of motion (ROM) of knee and hip and step length are the stable parameters in age-predictive models for both genders. Although the model achieved the Minimum Akaike's Information Criterion Estimate (MAICE), it did not reflect sufficiently the regimes of variable selection.
authors.affiliation: Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan. kikkawa@mce.uec.ac.jp
authors.forename: Kazutoshi
authors.initials: K
authors.lastname: Kikkawa
authors.forename: Hidetaka
authors.initials: H
authors.lastname: Okada
authors.forename: Takashi
authors.initials: T
authors.lastname: Mori
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D000886:Anthropometry / Q000379:methods*; D001696:Biomechanical Phenomena / Q000502:physiology; D005260:Female; D005544:Forecasting; D005684:Gait / Q000502:physiology; D006801:Humans; D007719:Knee Joint / Q000502:physiology; D008297:Male; D008962:Models, Theoretical; D010809:Physical Fitness; D016059:Range of Motion, Articular / Q000502:physiology; D012044:Regression Analysis; D016138:Walking / Q000502:physiology*