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Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People

Author

Listed:
  • Kwon Chan Jeon

    (Department of Health and Human Performance, Northwestern State University, Natchitoches, LA 71497, USA)

  • So-Young Kim

    (Department of Food Science & Nutrition, Soonchunhyang University, Asan 31438, Korea)

  • Fang Lin Jiang

    (Department of Sports Medicine, Soonchunhyang University, Asan 31438, Korea)

  • Sochung Chung

    (Department of Pediatrics, Konkuk University Medical Center, School of Medicine, Konkuk University, Seoul 413-729, Korea)

  • Jatin P. Ambegaonkar

    (SMART Laboratory, School of Kinesiology, George Mason University, Manassas, VA 10890, USA)

  • Jae-Hyeon Park

    (Department of Sport and Health Aging, Korea National Sport University, Seoul 05541, Korea)

  • Young-Joo Kim

    (Department of Exercise Rehabilitation Welfare, Sungshin Women’s University, Seoul 02844, Korea)

  • Chul-Hyun Kim

    (Department of Sports Medicine, Soonchunhyang University, Asan 31438, Korea
    SMART Laboratory, School of Kinesiology, George Mason University, Manassas, VA 10890, USA)

Abstract

Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published and built-in BIA equations for group and individual predictive accuracy; and to assess the overall agreement between the measured and predicted ASM index as sarcopenia diagnosis. In total, 199 healthy older adults completed the measurements of multifrequency BIA (InBody770 and InBodyS10) and dual-energy X-ray absorptiometry (DXA). Multiple regression analysis was used to validate the new multifrequency bioelectrical impedance analysis (MF-BIA) prediction equations. Each MF-BIA equation in the standing and supine position developed in the entire group included height 2 /resistance, sex, and reactance as predictors ( R 2 = 92.7% and 92.8%, SEE = 1.02 kg and 1.01 kg ASM for the standing and supine MF-BIA). The new MF-BIA equations had a specificity positive predictive value and negative predictive value of 85% or more except for a sensitivity of about 60.0%. The new standing and supine MF-BIA prediction equation are useful for epidemiological and field settings as well as a clinical diagnosis of sarcopenia. Future research is needed to improve the sensitivity of diagnosis of sarcopenia using MF-BIA.

Suggested Citation

  • Kwon Chan Jeon & So-Young Kim & Fang Lin Jiang & Sochung Chung & Jatin P. Ambegaonkar & Jae-Hyeon Park & Young-Joo Kim & Chul-Hyun Kim, 2020. "Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5847-:d:398129
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    References listed on IDEAS

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    1. Yosuke Yamada & Miyuki Nishizawa & Tomoka Uchiyama & Yasuhiro Kasahara & Mikio Shindo & Motohiko Miyachi & Shigeho Tanaka, 2017. "Developing and Validating an Age-Independent Equation Using Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing a Cutoff for Sarcopeni," IJERPH, MDPI, vol. 14(7), pages 1-14, July.
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    Cited by:

    1. Dominika Głąbska & Agata Wojciechowska & Karolina Cackowska & Dominika Guzek, 2021. "Body Composition Results of Caucasian Young Normal Body Mass Women in the Follicular Proliferative Phase, Measured for the Different Positions of Limbs," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    2. Chia-Ling Lin & Neng-Chun Yu & Hsueh-Ching Wu & Yung-Yen Lee & Wan-Chun Lin & I-Ying Chiu & Wu-Chien Chien & Yuan-Ching Liu, 2021. "Association of Body Composition with Type 2 Diabetes: A Retrospective Chart Review Study," IJERPH, MDPI, vol. 18(9), pages 1-8, April.

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