Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Assessment Of Appendicular Skeletal Muscle Mass By Bioimpedance In Older Community-dwelling Korean Adults.

Jung Hee Kim, Sung Hee Choi, Soo Lim, Ki Woong Kim, Jae Young Lim, Nam H. Cho, Kyong Soo Park, Hak Chul Jang
Published 2014 · Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
Share
It is crucial to investigate age-related body composition changes in geriatric medicine. Bioelectrical impedance analysis (BIA) is easy to perform, non-invasive, relatively inexpensive, and portable. However, the accuracy of measurement by BIA is questionable. To develop and cross-validate the predictive equation for estimated appendicular skeletal muscle mass (ASM) using BIA in older community-dwelling Korean adults, we include two cohorts: study participants aged 65-80 years in the Ansung cohort for the Korean Health and Genome Study (men, n=285; women, n=435) used as equation-generating group, and Korean Longitudinal Study of Health Aging (KLoSHA) as cross-validation group (men, n=202; women, n=208). Dual energy X-ray absorptiometry (DXA) and BIA were performed in both cohorts. Using multiple linear regression analysis, we drew a predictive equation for DXA-measured ASM by BIA resistance. From DXA and BIA measurements in the Ansung cohort, we generated the estimated equation ASM (kg)=[(Ht(2)/R×0.104)+(age×-0.050)+(gender×2.954)+(weight×0.055)]+5.663 where Ht is height in centimeters; R is BIA resistance in 250Ω; for gender, men=1 and women=0; and age is in years. We validated this equation in the KLoSHA. The r(2) of the estimated ASM was 0.890. This BIA equation provides valid estimates of ASM in older Korean adults.
This paper references
10.1093/ageing/afq034
Sarcopenia: European consensus on definition and diagnosis
A. Cruz-Jentoft (2010)
10.1016/J.CLNU.2004.09.012
Bioelectrical impedance analysis-part II: utilization in clinical practice.
U. Kyle (2004)
10.1016/j.nut.2008.07.004
Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes.
K. Shafer (2009)
10.1111/j.1532-5415.2008.01854.x
Prevalence of Sarcopenia Estimated Using a Bioelectrical Impedance Analysis Prediction Equation in Community‐Dwelling Elderly People in Taiwan
M. Chien (2008)
European working group on sarcopenia in older people. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people
A. Cruz-Jentoft (2010)
10.1038/oby.2009.232
Combined Impact of Adiponectin and Retinol‐binding Protein 4 on Metabolic Syndrome in Elderly People: The Korean Longitudinal Study on Health and Aging
S. Lim (2010)
Validity of body composition methods across ethnic population groups.
P. Deurenberg (2003)
10.1016/J.IJNURSTU.2009.10.001
Statistical methods for assessing agreement between two methods of clinical measurement
J. Bland (1986)
10.1016/s0140-6736(65)91037-8
AKUFO AND IBARAPA.
A. H. Beckett (1965)
10.1152/JAPPL.1994.77.1.98
Segmental bioelectrical impedance analysis: theory and application of a new technique.
L. W. Organ (1994)
10.1016/S0899-9007(03)00172-2
Comparison of bioelectrical impedance prediction equations for fat-free mass in a population-based sample of 75 y olds: the NORA study.
D. Dey (2003)
10.1016/J.CLNU.2004.06.004
Bioelectrical impedance analysis--part I: review of principles and methods.
U. Kyle (2004)
10.1152/JAPPL.2000.89.2.465
Estimation of skeletal muscle mass by bioelectrical impedance analysis.
I. Janssen (2000)
10.1093/ajcn/64.3.436S
Why bioelectrical impedance analysis should be used for estimating adiposity.
L. Houtkooper (1996)
10.1111/j.1749-6632.2000.tb06477.x
A Comparison of Body Composition Techniques
F. Rubiano (2000)
10.1038/sj.ijo.0800868
The impact of body build on the relationship between body mass index and percent body fat
P. Deurenberg (1999)
10.1016/S0140-6736(86)90837-8
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
J. Bland (1986)
10.2337/dc09-1099
Estimating Visceral Fat Area by Multifrequency Bioelectrical Impedance
M. Nagai (2010)
10.1152/PHYSREV.2000.80.2.649
Human body composition: in vivo methods.
K. Ellis (2000)
Prevalence and risk factors of osteoporosis in Korea: A community-based cohort study with lumbar spine and hip bone mineral
C. S. Shin (2010)
10.1093/AJCN/53.6.1345
Body composition in elderly people: effect of criterion estimates on predictive equations.
R. Baumgartner (1991)
10.1016/j.bone.2010.03.017
Prevalence and risk factors of osteoporosis in Korea: a community-based cohort study with lumbar spine and hip bone mineral density.
C. Shin (2010)
10.1111/j.1749-6632.2000.tb06498.x
Body Composition in Healthy Aging
R. Baumgartner (2000)



This paper is referenced by
10.1016/j.archger.2018.10.010
Quantifying appendicular muscle mass in geriatric inpatients: Performance of different single frequency BIA equations in comparison to dual X-ray absorptiometry.
R. Reiter (2019)
10.6133/apjcn.202003_29(1).0013
A community-based approach to lean body mass and appendicular skeletal muscle mass prediction using body circumferences in community-dwelling elderly in Taiwan.
Kuei-Yu Chien (2020)
10.1159/000447023
Measurement of Muscle Strength in Haemodialysis Patients by Pinch and Hand Grip Strength and Comparison to Lean Body Mass Measured by Multifrequency Bio-Electrical Impedance
Y. Omichi (2016)
10.1111/JGS.13414
Bioimpedance Analysis and Frailty
V. B. Safer (2015)
10.1016/j.clnu.2016.04.011
Validation of bioelectrical impedance analysis for estimating limb lean mass in free-living Caucasian elderly people.
M. De Rui (2017)
10.1016/j.archger.2015.03.007
Accuracy of a predictive bioelectrical impedance analysis equation for estimating appendicular skeletal muscle mass in a non-Caucasian sample of older people.
Diana Beatriz Rangel Peniche (2015)
10.1002/jpen.1605
New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999-2006.
L. P. Santos (2019)
10.1038/s41598-020-62841-y
Effects of low skeletal muscle mass and sarcopenic obesity on albuminuria: a 7-year longitudinal study
J. Yoo (2020)
10.1123/japa.2019-0211
Validation of a Multielectrode Bioelectrical Impedance Analyzer With a Dual-Energy X-Ray Absorptiometer for the Assessment of Body Composition in Older Adults.
Nathan F. Meier (2020)
10.1016/j.nut.2014.11.011
Vitamin D status is a determinant of skeletal muscle mass in obesity according to body fat percentage.
P. Shantavasinkul (2015)
10.1111/jgs.13414
Bioimpedance Analysis and Frailty
V. Binay Safer (2015)
10.4235/agmr.2018.22.2.73
How to Diagnose Sarcopenia in Korean Older Adults?
H. Jang (2018)
10.3390/nu8040189
The Performance of Five Bioelectrical Impedance Analysis Prediction Equations against Dual X-ray Absorptiometry in Estimating Appendicular Skeletal Muscle Mass in an Adult Australian Population
Solomon Yu (2016)
Median, Ulnar and Peroneal Nerve Cross-Sectional Area as a function of Muscle Mass and BMI
Aylin Dikici (2016)
10.1038/ejcn.2017.27
Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices
A. Bosy-Westphal (2017)
10.3390/ijerph17165847
Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People
K. C. Jeon (2020)
10.1016/j.ejogrb.2018.06.024
Bioelectrical impedance analysis; a new method to evaluate lymphoedema, fluid status, and tissue damage after gynaecological surgery - A systematic review.
Madeleine Asklöf (2018)
10.4093/dmj.2015.39.1.37
Appendicular Skeletal Muscle Mass and Insulin Resistance in an Elderly Korean Population: The Korean Social Life, Health and Aging Project-Health Examination Cohort
S. Lee (2015)
10.3390/nu10060738
Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass
S. Y. Lee (2018)
10.1016/j.clnu.2020.10.021
Estimation of skeletal muscle mass by bioimpedance and differences among skeletal muscle mass indices for assessing sarcopenia.
Hong-Qi Xu (2020)
10.1002/jcsm.12159
Bioelectrical impedance analysis for diagnosing sarcopenia and cachexia: what are we really estimating?
M. C. Gonzalez (2017)
10.1016/j.clnesp.2019.09.012
Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review.
C. Beaudart (2020)
10.3390/s140610895
The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases
Sami F. Khalil (2014)
10.1210/clinem/dgaa745
Serum Spermidine as a Novel Potential Predictor for Fragility Fractures.
S. H. Kong (2020)
10.12965/jer.1836060.030
A study on the characteristics of standing posture of elderly women with sarcopenia in Korea
Min-Jeong Kim (2018)
10.1038/s41598-017-06386-7
Sex-based Differences in the Association between Body Composition and Incident Fracture Risk in Koreans
J. Kim (2017)
10.1186/s12891-015-0510-9
Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study
F. Buckinx (2015)
10.1002/jcsm.12510
Grip strength mediates the relationship between muscle mass and frailty
Yu-Ri Choe (2019)
10.1007/s40520-016-0622-6
Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons
G. Sergi (2016)
Bioelectrical impedance analysis in medicine
A. Dubiel (2019)
10.1111/jgs.13107
Frailty Status Can Predict Further Lean Body Mass Decline in Older Adults
H. Jung (2014)
10.3390/jcm9113664
Validity of Bioimpedance Equations to Evaluate Fat-Free Mass and Muscle Mass in Severely Malnourished Anorectic Patients
M. Coëffier (2020)
See more
Semantic Scholar Logo Some data provided by SemanticScholar