An Anthropometric Prediction Equation for Appendicular Skeletal Muscle Mass in Combination With a Measure of Muscle Function to Screen for Sarcopenia in Primary and Aged Care

2015 ◽  
Vol 16 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Solomon Yu ◽  
Sarah Appleton ◽  
Ian Chapman ◽  
Robert Adams ◽  
Gary Wittert ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Muscle Function ◽  
Skeletal Muscle Mass ◽  
Aged Care ◽  
Prediction Equation ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

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

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.

scholarly journals Physical activity, protein intake, and appendicular skeletal muscle mass in older men

1999 ◽  
Vol 70 (1) ◽  
pp. 91-96 ◽  
Author(s):  
Raymond D Starling ◽  
Philip A Ades ◽  
Eric T Poehlman
Keyword(s):  
Physical Activity ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Protein Intake ◽  
Skeletal Muscle Mass ◽  
Older Men ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

scholarly journals Cutoff values for appendicular skeletal muscle mass and strength in relation to fear of falling among Brazilian older adults: cross-sectional study

2017 ◽  
Vol 135 (5) ◽  
pp. 434-443 ◽  
Author(s):  
Ricardo Aurélio Carvalho Sampaio ◽  
Priscila Yukari Sewo Sampaio ◽  
Luz Albany Arcila Castaño ◽  
João Francisco Barbieri ◽  
Hélio José Coelho Júnior ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Fear Of Falling ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

2020 ◽  
Author(s):  
Lazuardhi Dwipa ◽  
Rini Widiastuti ◽  
Alif Bagus Rakhimullah ◽  
Marcellinus Maharsidi ◽  
Yuni Susanti Pratiwi ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Central Obesity ◽  
Skeletal Muscle Mass ◽  
Positive Correlation ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

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