Influence of weight classification on walking and jogging energy expenditure prediction in women

Timothy D. Heden, James D. LeCheminant, John D. Smith

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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/m2) and 12 normal-weight (BMI = 18.5-24.99 kg/m2) women walked and jogged 1, 609 m at 1.34 m.s-1 and 2.23 m.s-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.

Original languageEnglish (US)
Pages (from-to)391-399
Number of pages9
JournalResearch Quarterly for Exercise and Sport
Volume83
Issue number3
DOIs
StatePublished - Sep 2012
Externally publishedYes

Keywords

  • Energy cost
  • Exercise
  • Physical activity
  • Weight maintenance

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