title: Influence of weight classification on walking and jogging energy expenditure prediction in women.
abstract: The purpose of this study was to determine the influence of weight classification on predicting energy expenditure (EE) in women. Twelve overweight (body mass index [BMI] = 25-29.99 kg/m(2)) and 12 normal-weight (BMI = 18.5-24.99 kg/m(2)) women walked and jogged 1,609 m at 1.34 ms(-1) and 2.23 ms(-1), respectively, while EE was assessed using indirect calorimetry and compared to several other prediction methods (American College of Sports Medicine [ACSM], 2010; Heyward, 2006; Léger & Mercier, 1984; McArdle, Katch, & Katch, 2006; Pandolf Givoni, & Goldman, 1978; van der Walt & Wyndham, 1973). More error occurred with overweight EE prediction compared to normal-weight EE prediction. The ACSM and Heyward methods for walking and the McArdle et al. method for jogging most accurately predicted EE for both groups. Weight classification influences EE prediction accuracy and, thus, is important to consider when using these prediction methods.
authors.affiliation: Kinesiology and Health Education Department, Southern Illinois University-Edwardsville, USA. tdheden@mail.mizzou.edu
authors.forename: Timothy D
authors.initials: TD
authors.lastname: Heden
authors.forename: James D
authors.initials: JD
authors.lastname: LeCheminant
authors.forename: John D
authors.initials: JD
authors.lastname: Smith
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002153:Calorimetry, Indirect; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D006801:Humans; D050177:Overweight / Q000503:physiopathology*; D012420:Running / Q000502:physiology*; D016138:Walking / Q000502:physiology*; D055815:Young Adult