Anthropometric Prediction Equations for Estimating Muscle Mass of Elderly Women

Abstract

Muscle Mass (MM) has an important role in health and physical performance. There are many MM prediction equations, but none is formulated in Indonesia. This study aimed to develop Anthropometric Equations (AE) prediction for MM. A cross sectional study was used to formulate AE prediction through multiple regression analysis. The significance of observed differences between predicted and actual MM was tested by t test while level of agreement was assessed by Bland Altman plot. A significant correlation was found between MM and height, body mass index, calf/arm/waist circumferences, and waist hip ratio (p<0.05). Regression anal¬ysis indicated that age, height, and Mid Arm Circumference (MAC) contributed significantly to MM. The resulting equation was MM (kg) = -10.22+(-.097x age)+(0.16xheight)+(0.30xMAC). There was no significant difference between actual and predicted MM results, and both had significant correlation. These results suggest that age, AP related to MM and AE provide valid prediction of MM for healthy elderly women in Jakarta.

Prediction of appendicular skeletal muscle mass of older women using anthropometry-based equations

“…Hence these equations can be recommended as valid alternatives to DXA for the estimation of ASMM in women aged >60 years in Sri Lanka. Our findings are concordant with observations made by other researchers previously [7][8][9][10]. Apart from height and weight, some have used other anthropometric indices such as waist and arm circumferences.…”

Skeletal muscle mass by bioelectrical impedance analysis and calf circumference for sarcopenia diagnosis

“…On the other hand, Handayani et al , 2018 [ 27 ], examined 96 elderly healthy women aged 60 years or more, independent in their daily activities. They found a Spearman correlation of 0.43 (p< 0.05).…”

“…The first European Consensus on definition and diagnosis of sarcopenia did not recommend anthropometry for routine diagnosis of this condition [ 1 ]; however, in the new consensus [ 27 ], the researchers tried to facilitate the early detection of sarcopenia and consequently its timely treatment. On this occasion, they admit that the CC may be an alternative for clinical environments where there are no facilities such as BIA to estimate muscle mass.…”