Development of prediction equations for estimating appendicular skeletal muscle mass in Japanese men and women

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 height2/resistance, sex, and reactance as predictors (R2 = 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.

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Hyperinsulinemia is associated with the loss of appendicular skeletal muscle mass at 4.6 year follow-up in older men and women

Clinical Nutrition ◽

10.1016/j.clnu.2014.09.022 ◽

2015 ◽

Vol 34 (5) ◽

pp. 931-936 ◽

Cited By ~ 9

Author(s):

Miriam T. López Teros ◽

Fátima A. Ramírez C ◽

Heliodoro Alemán-Mateo

Keyword(s):

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Older Men ◽

Men And Women ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass ◽

Older Men And Women

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APPENDICULAR SKELETAL MUSCLE MASS: DEVELOPMENT AND VALIDATION OF ANTHROPOMETRIC PREDICTION EQUATIONS

Journal of Frailty & Aging ◽

10.14283/jfa.2012.23 ◽

2012 ◽

pp. 1-5

Author(s):

R. VISVANATHAN ◽

S. YU ◽

J. FIELD ◽

I. CHAPMAN ◽

R. ADAMS ◽

...

Keyword(s):

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

South Australia ◽

Aged Care ◽

Prediction Equations ◽

Appendicular Skeletal Muscle ◽

And Function ◽

Development And Validation ◽

Appendicular Skeletal Muscle Mass

Objectives:Sarcopenia is the loss of muscle mass and function seen with increasing age. Central tomaking the diagnosis of sarcopenia is the assessment of appendicular skeletal muscle mass (ASM). The objectiveof this study was to develop and validate novel anthropometric prediction equations (PEs) for ASM that would beuseful in primary or aged care. Design:PEs were developed using best subset regression analysis. Three bestperforming PEs (PE1, PE2, PE3) were selected and validated using the Bland-Altman and Sheiner & Bealmethods. Setting:Community dwelling adults in South Australia. Participants:188 healthy subjects wereinvolved in the development study. 2275 older(age >50years) subjects were involved in the validation study.Measurements:ASM was assessed using dual x-ray abosrptiometry (DEXA). Weight and height was measuredand body mass index (BMI) estimated. Results: A strong correlation between PE derived ASM and the DEXAderived ASM was seen for the three selected PEs. PE3: ASM= 10.047427 + 0.353307(weight) - 0.621112(BMI) -0.022741(age) + 5.096201(if male) performed the best. PE3 over-estimated (P<0.001) ASM by 0.36 kg (95% CI0.28-0.44 Kg) and the adjusted R2was 0.869. The 95% limit of agreement was between -3.5 and 4.35 kg and thestandard error of the estimate was 1.95. The root mean square error was 1.91(95% CI 1.80-2.01). PE3 alsoperformed the best across the various age (50-65, 65-<80, 80+ years) and weight (BMI <18.5, 18.5-24.9, 25-29.9,>30 kg/m2) groups. Conclusions:A new anthropometric PE for ASM has been developed for use in primary oraged care but is specific to Caucasian population groups.

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Low skeletal muscle mass is associated with arterial stiffness in community-dwelling Chinese aged 45 years and older

10.21203/rs.2.14143/v2 ◽

2020 ◽

Author(s):

Mingzhe Yang ◽

Xuguang Zhang ◽

Zhenkai Ding ◽

Feijie Wang ◽

Yufang Wang ◽

...

Keyword(s):

Blood Pressure ◽

Skeletal Muscle ◽

Arterial Stiffness ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Community Dwelling ◽

Chinese Community ◽

Men And Women ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass

Abstract Background: Evidence suggests that body composition has impact on arterial stiffness. However, evidence in Chinese are limited, and results remain controversial. The aim of our study is to investigate whether skeletal muscle mass is associated with arterial stiffness in Chinese community-dwelling men and women aged 45 years and older. Methods: In this cross-sectional study, 20477 participants (age range: 45-80 years, 68.8% women) were included in the analysis. Brachial-ankle pulse wave velocity (baPWV), an indicator of arterial stiffness was measured using a waveform device. Total muscle mass and muscle mass of arm, leg and trunk were measured by bioelectrical impedance analysis. Height and weight were measured and appendicular skeletal muscle mass index (ASMI) was calculated as appendicular skeletal muscle mass (sum of arm and leg muscle mass) divided by height square. Results: After adjustment for age, body fat percentage, systolic blood pressure and diastolic blood pressure, ASMI was negatively associated with baPWV [β (SE) for men: -0.208 (0.016), p < 0.0001; for women: -0.245 (0.012), p < 0.0001]. High ASMI was a protective factor for the presence of arterial stiffness (defined as baPWV) [OR (95%CI) for men: 0.730 (0.682, 0.782), p < 0.0001; women: 0.634 (0.593, 0.677), p < 0.0001]. Similar associations were found between quantity of muscle mass (total and appendicular muscle mass, muscle mass of arm, leg and trunk) and arterial stiffness in men and women after further adjustment for height (all p < 0.0001). Conclusion: Low skeletal muscle mass is associated with increased risk of arterial stiffness in Chinese community-dwelling adults aged 45 years and older.

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Response to New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference on NHANES Data: Methodological Issues

Journal of Parenteral and Enteral Nutrition ◽

10.1002/jpen.1714 ◽

2019 ◽

Vol 43 (8) ◽

pp. 958-959 ◽

Cited By ~ 1

Author(s):

Leonardo Pozza Santos ◽

Maria Cristina Gonzalez ◽

Silvana Paiva Orlandi ◽

Renata Moraes Bielemann ◽

Thiago G. Barbosa‐Silva ◽

...

Keyword(s):

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Calf Circumference ◽

Prediction Equations ◽

Methodological Issues ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass

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Low skeletal muscle mass is associated with arterial stiffness in Chinese community-dwelling adults

10.21203/rs.2.14143/v1 ◽

2019 ◽

Author(s):

Mingzhe Yang ◽

Xuguang Zhang ◽

Zhenkai Ding ◽

Feijie Wang ◽

Yufang Wang ◽

...

Keyword(s):

Blood Pressure ◽

Skeletal Muscle ◽

Arterial Stiffness ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Community Dwelling ◽

Chinese Community ◽

Men And Women ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass

Abstract Aim: To investigate whether skeletal muscle mass is associated with arterial stiffness in Chinese community-dwelling men and women. Methods: In this cross-sectional study, 20477 participants (age range: 45-80 years, 68.8% women) were included in the analysis. Brachial-ankle pulse wave velocity (baPWV), an indicator of arterial stiffness was measured using a waveform device. Total muscle mass and muscle mass of arm, leg and trunk were measured by bioelectrical impedance analysis. Height and weight were measured and appendicular skeletal muscle mass index (ASMI) was calculated as appendicular skeletal muscle mass (sum of arm and leg muscle mass) divided by height square. Results: After adjustment for age, body fat percentage, systolic blood pressure and diastolic blood pressure, ASMI was negatively associated with baPWV [β (SE) for men: -0.208 (0.016), p < 0.0001; for women: -0.245 (0.012), p < 0.0001]. High ASMI was a protective factor for the presence of arterial stiffness (defined as baPWV) [OR (95%CI) for men: 0.730 (0.682, 0.782), p < 0.0001; women: 0.634 (0.593, 0.677), p < 0.0001]. Similar associations were found between quantity of muscle mass (total and appendicular muscle mass, muscle mass of arm, leg and trunk) and arterial stiffness in men and women after further adjustment for height (all p < 0.0001). Conclusion: Low skeletal muscle mass is associated with increased risk of arterial stiffness in Chinese community-dwelling adults.

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