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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
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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
Sarcopenia: European consensus on definition and diagnosis
A. Cruz-Jentoft (2010)
Bioelectrical impedance analysis-part II: utilization in clinical practice.
U. Kyle (2004)
Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes.
K. Shafer (2009)
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)
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)
Statistical methods for assessing agreement between two methods of clinical measurement
J. Bland (1986)
AKUFO AND IBARAPA.
A. H. Beckett (1965)
Segmental bioelectrical impedance analysis: theory and application of a new technique.
L. W. Organ (1994)
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)
Bioelectrical impedance analysis--part I: review of principles and methods.
U. Kyle (2004)
Estimation of skeletal muscle mass by bioelectrical impedance analysis.
I. Janssen (2000)
Why bioelectrical impedance analysis should be used for estimating adiposity.
L. Houtkooper (1996)
A Comparison of Body Composition Techniques
F. Rubiano (2000)
The impact of body build on the relationship between body mass index and percent body fat
P. Deurenberg (1999)
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
J. Bland (1986)
Estimating Visceral Fat Area by Multifrequency Bioelectrical Impedance
M. Nagai (2010)
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)
Body composition in elderly people: effect of criterion estimates on predictive equations.
R. Baumgartner (1991)
Prevalence and risk factors of osteoporosis in Korea: a community-based cohort study with lumbar spine and hip bone mineral density.
C. Shin (2010)
Body Composition in Healthy Aging
R. Baumgartner (2000)
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Quantifying appendicular muscle mass in geriatric inpatients: Performance of different single frequency BIA equations in comparison to dual X-ray absorptiometry.
R. Reiter (2019)
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)
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)
Bioimpedance Analysis and Frailty
V. B. Safer (2015)
Validation of bioelectrical impedance analysis for estimating limb lean mass in free-living Caucasian elderly people.
M. De Rui (2017)
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)
New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999-2006.
L. P. Santos (2019)
Effects of low skeletal muscle mass and sarcopenic obesity on albuminuria: a 7-year longitudinal study
J. Yoo (2020)
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)
Vitamin D status is a determinant of skeletal muscle mass in obesity according to body fat percentage.
P. Shantavasinkul (2015)
Bioimpedance Analysis and Frailty
V. Binay Safer (2015)
How to Diagnose Sarcopenia in Korean Older Adults?
H. Jang (2018)
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)
Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices
A. Bosy-Westphal (2017)
Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People
K. C. Jeon (2020)
Bioelectrical impedance analysis; a new method to evaluate lymphoedema, fluid status, and tissue damage after gynaecological surgery - A systematic review.
Madeleine Asklöf (2018)
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)
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)
Estimation of skeletal muscle mass by bioimpedance and differences among skeletal muscle mass indices for assessing sarcopenia.
Hong-Qi Xu (2020)
Bioelectrical impedance analysis for diagnosing sarcopenia and cachexia: what are we really estimating?
M. C. Gonzalez (2017)
Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review.
C. Beaudart (2020)
The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases
Sami F. Khalil (2014)
Serum Spermidine as a Novel Potential Predictor for Fragility Fractures.
S. H. Kong (2020)
A study on the characteristics of standing posture of elderly women with sarcopenia in Korea
Min-Jeong Kim (2018)
Sex-based Differences in the Association between Body Composition and Incident Fracture Risk in Koreans
J. Kim (2017)
Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study
F. Buckinx (2015)
Grip strength mediates the relationship between muscle mass and frailty
Yu-Ri Choe (2019)
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)
Frailty Status Can Predict Further Lean Body Mass Decline in Older Adults
H. Jung (2014)
Validity of Bioimpedance Equations to Evaluate Fat-Free Mass and Muscle Mass in Severely Malnourished Anorectic Patients
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