IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0160105.html
   My bibliography  Save this article

Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population

Author

Listed:
  • Kuen-Tsann Chen
  • Yu-Yawn Chen
  • Chia-Wei Wang
  • Chih-Lin Chuang
  • Li-Ming Chiang
  • Chung-Liang Lai
  • Hsueh-Kuan Lu
  • Gregory B Dwyer
  • Shu-Ping Chao
  • Ming-Kuei Shih
  • Kuen-Chang Hsieh

Abstract

Bioelectrical impedance analysis (BIA) is a common method for assessing body composition in research and clinical trials. BIA is convenient but when compared with other reference methods, the results have been inconclusive. The level of obesity degree in subjects is considered to be an important factor affecting the accuracy of the measurements. A total of 711 participants were recruited in Taiwan and were sub-grouped by gender and levels of adiposity. Regression analysis and Bland-Altman analysis were used to evaluate the agreement of the measured body fat percentage (BF%) between BIA and DXA. The BF% measured by the DXA and BIA methods (Tanita BC-418) were expressed as BF%DXA and BF%BIA8, respectively. A one-way ANOVA was used to test the differences in BF% measurements by gender and levels of adiposity. The estimated BF%BIA8 and BF%DXA in the all subjects, male and female groups were all highly correlated (r = 0.934, 0.901, 0.916, all P

Suggested Citation

  • Kuen-Tsann Chen & Yu-Yawn Chen & Chia-Wei Wang & Chih-Lin Chuang & Li-Ming Chiang & Chung-Liang Lai & Hsueh-Kuan Lu & Gregory B Dwyer & Shu-Ping Chao & Ming-Kuei Shih & Kuen-Chang Hsieh, 2016. "Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-13, July.
  • Handle: RePEc:plo:pone00:0160105
    DOI: 10.1371/journal.pone.0160105
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160105
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0160105&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0160105?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rafael Molina-Luque & Manuel Romero-Saldaña & Carlos Álvarez-Fernández & Miquel Bennasar-Veny & Álvaro Álvarez-López & Guillermo Molina-Recio, 2019. "Equation Córdoba: A Simplified Method for Estimation of Body Fat (ECORE-BF)," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    2. Yu-San Liao & Hung-Chou Li & Hsueh-Kuan Lu & Chung-Liang Lai & Yue-Sheng Wang & Kuen-Chang Hsieh, 2020. "Comparison of Bioelectrical Impedance Analysis and Dual Energy X-ray Absorptiometry for Total and Segmental Bone Mineral Content with a Three-Compartment Model," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    3. Cheryl A. Howe & Riley J. Corrigan & Maya Djalali & Chris McManaway & Alexandra Grbcich & Grace Sam Aidoo, 2021. "Feasibility of Using Bioelectrical Impedance Analysis for Assessing Youth Weight and Health Status: Preliminary Findings," IJERPH, MDPI, vol. 18(19), pages 1-13, September.
    4. Clifton J. Holmes & Susan B. Racette & Leslie Symonds & Ana Maria Arbeláez & Chao Cao & Andrea Granados, 2022. "Comparison of Bioelectrical Impedance Analysis with DXA in Adolescents with Cystic Fibrosis before and after a Resistance Training Intervention," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
    5. Jingjing Xue & Shuo Li & Yong Zhang & Ping Hong, 2019. "Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults," IJERPH, MDPI, vol. 16(15), pages 1-10, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0160105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.