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

Kwon Chan Jeon, So-Young Kim, Fang Lin Jiang, Sochung Chung, Jatin P. Ambegaonkar, Jae-Hyeon Park, Young-Joo Kim and Chul-Hyun Kim
Additional contact information
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

IJERPH, 2020, vol. 17, issue 16, 1-16

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.

Keywords: multifrequency bioelectrical impedance analysis (MF-BIA); dual-energy X-ray absorptiometry (DXA); clinical diagnosis; sarcopenia; appendicular skeletal muscle mass (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/16/5847/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/16/5847/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:16:p:5847-:d:398129

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().