IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2595-d343841.html
   My bibliography  Save this article

Comparison of Bioelectrical Impedance Analysis and Dual Energy X-ray Absorptiometry for Total and Segmental Bone Mineral Content with a Three-Compartment Model

Author

Listed:
  • Yu-San Liao

    (Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Yunlin 638, Taiwan
    Department of Nursing, Chang Gung University of Science and Technology, Chiayi 613, Taiwan
    Department of Chemistry and Biochemistry, National Chung Cheng University, Chiayi 621, Taiwan
    These authors contributed equally to this work.)

  • Hung-Chou Li

    (Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi 613, Taiwan
    These authors contributed equally to this work.)

  • Hsueh-Kuan Lu

    (General Education Center, National Taiwan University of Sport, Taichung 404, Taiwan)

  • Chung-Liang Lai

    (Department of Physical Medicine and Rehabilitation, Puzi Hospital, Ministry of Health and Welfare, Chiayi 613, Taiwan
    Department of Occupational Therapy, Asia University, Taichung 413, Taiwan)

  • Yue-Sheng Wang

    (Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi613, Taiwan)

  • Kuen-Chang Hsieh

    (Fundamental Education Center, National Chin-Yi University of Technology, Taichung 411, Taiwan)

Abstract

Modern bioelectrical impedance analysis (BIA) provides a wide range of body composition estimates such as fat mass (FM), lean body mass (LBM), and body water, using specific algorithms. Assuming that the fat free mass (FFM) and LBM can be accurately estimated by the 8-electrode BIA analyzer (BIA 8MF ; InBody230, Biospace), the bone mineral content (BMC) may be calculated by subtracting the LBM from the FFM estimates based on the three-compartment (3C) model. In this cross-sectional study, 239 healthy Taiwanese adults (106 male and 133 female) aged 20–45 years were recruited for BIA and dual-energy X-ray absorptiometry (DXA) measurements of the whole body and body segments, with DXA as the reference. The results showed a high correlation between BIA 8MF and DXA in estimating total and segmental LBM, FM and percentage body fat (r = 0.909–0.986, 0.757–0.964, and 0.837–0.936, respectively). For BMC estimates, moderate to high correlations (r = 0.425–0.829) between the two methods were noted. The percentage errors and pure errors for BMC estimates between the methods ranged from 33.9% to 93.0% and from 0.159 kg to 0.969 kg, respectively. This study validated that BIA 8MF can accurately assesses LBM, FM and body fat percentage (BF%). However, the estimation of segmental BMC based on the difference between FFM and LBM in body segments may not be reliable by BIA 8MF .

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2595-:d:343841
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2595/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/7/2595/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. Agnieszka Ostachowska-Gąsior & Monika Piwowar & Joanna Zając, 2021. "Segmental Phase Angle and Body Composition Fluctuation of Elite Ski Jumpers between Summer and Winter FIS Competitions," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    3. Sofia Lopes & Tatiana Fontes & Rejane Giacomelli Tavares & Luis Monteiro Rodrigues & Cíntia Ferreira-Pêgo, 2022. "Bioimpedance and Dual-Energy X-ray Absorptiometry Are Not Equivalent Technologies: Comparing Fat Mass and Fat-Free Mass," IJERPH, MDPI, vol. 19(21), pages 1-9, October.
    4. Waldemar Pluta & Wioleta Dudzińska & Anna Lubkowska, 2022. "Metabolic Obesity in People with Normal Body Weight (MONW)—Review of Diagnostic Criteria," IJERPH, MDPI, vol. 19(2), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.

    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:gam:jijerp:v:17:y:2020:i:7:p:2595-:d:343841. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.