KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Dissertations and Theses
    • Theses
    • View Item
    •   KU ScholarWorks
    • Dissertations and Theses
    • Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Comparison of Prediction Equations for Resting Energy Expenditure vs the KORR ReeVue Indirect Calorimeter in Obesity

    Thumbnail
    View/Open
    Petersen_ku_0099M_15819_DATA_1.pdf (854.5Kb)
    Issue Date
    2018-05-31
    Author
    Petersen, Carsen
    Publisher
    University of Kansas
    Format
    67 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Dietetics & Nutrition
    Rights
    Copyright held by the author.
    Metadata
    Show full item record
    Abstract
    An increasing number of institutions and community settings are assessing resting energy expenditure (REE) to tailor weight loss interventions. Resting energy expenditure can be assessed using an indirect calorimeter or from prediction equations. Portable indirect calorimeters are not widely available and have associated equipment and operating costs, whereas assessment of REE using prediction equations is cost-effective and simple to use. Data are lacking to assess the agreement for the measurement of REE between portable indirect calorimeters and prediction equations to help inform institutions and community settings on the best option to assess REE in an obese population. The purpose of this study was to compare the seven most common prediction equations for estimation of resting energy expenditure (REE) – Mifflin St. Jeor (MSJ), Harris Benedict (HB), Owen, American College of Chest Physicians (ACCP) 21, ACCP 25, World Health Organization/Food and Agriculture Organization/United Nations University (WHO/FAO/UNU; using weight only), and WHO/FAO/UNU (using both weight and height) – to measured REE (MREE) using the KORR ReeVue indirect calorimeter in free-living obese adults. Statistical analyses were completed to understand if age, sex, race, or obesity grade influenced the agreement between the estimated REE for the prediction equations and MREE for the KORR ReeVue indirect calorimeter. The study found the prediction equations of MSJ, HB, WHO/FAO/UNU (using weight only), and WHO/FAO/UNU (using both weight and height) accurately estimated REE in obese adults within +/-150 kcal/day of MREE. Of these four equations, Harris Benedict had the least amount of contributing variables that influenced the estimation of MREE (only race contributed) and Mifflin St. Jeor had the second least amount (race and sex contributed) of contributing variables. Therefore, these prediction equations would be appropriate to use in clinical practice if an institution did not have access to an indirect calorimeter. The prediction equations of Owen and American College of Chest Physicians; however, under- and overestimated MREE, respectively, and should be avoided in clinical practice.
    URI
    http://hdl.handle.net/1808/27086
    Collections
    • KU Med Center Dissertations and Theses [464]
    • Theses [3825]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps