Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/17545
Title: Relationship between calf circumference and skeletal muscle index among community-dwelling thai elderly
Authors: Tannirandorn A.
Pangkanon W.
Prachansuwan A.
Isarashewawat P.
Keywords: aged
Article
body composition
calf circumference
Child Pugh score
chronic obstructive lung disease
community dwelling person
controlled study
diagnostic test accuracy study
fat mass
female
human
impedance
major clinical study
male
muscle mass
muscle strength
musculoskeletal disease assessment
osteolysis
physical activity
predictive value
prevalence
receiver operating characteristic
sarcopenia
sensitivity and specificity
skeletal muscle
Thai (people)
Thailand
Issue Date: 2021
Abstract: Background: A strong association between calf circumference (CC) and skeletal muscle index (SMI) has been established worldwide in the elderly, however, these data in the Thai population are lacking. Objective: To evaluate the relationship between CC and SMI, as well as to identify the important predictors of SMI among the community-dwelling Thai elderly. Materials and Methods: The present study was an analytic cross-sectional study performed in 110 community-dwelling adults aged 60 years and older who lived in Sriracha, Chonburi, Thailand. Weight, height, and the maximum CC were measured in standing position. Body composition was measured using the bioelectrical impedance analysis (BIA) and the SMI was calculated as the appendicular skeletal muscle mass (ASM) divided by the height squared ). Pearsons correlation was used to indicate the relationship between CC and SMI. Multiple linear regression was developed to predict SMI. Results: The prevalence of low muscle mass in men and women were 23.5% and 33.3%, respectively. CC had a positive correlation with SMI (r=0.75; p<0.001). The cut-off values for predicting low muscle mass using CC were 34.0 cm (sensitivity 85.5%, specificity 71.8%, AUC 0.895) in women, and 33.4 cm (sensitivity 75.0%, specificity 92.3%, AUC 0.925) in men. Multiple linear regression analysis revealed age, gender, weight, and CC as the key predictors for SMI with adjusted r of the model equal to 0.80. CC and weight had a direct effect on SMI. On the other hand, age was inversely related to SMI. Women had lower SMI than men. Conclusion: CC was positively associated with SMI, and it could be used as a screening tool to identify the community-dwelling Thai elderly with low muscle mass in the field settings. Important predictors of SMI were age, gender, weight, and CC. © 2021 Medical Association of Thailand. All rights reserved.
URI: https://ir.swu.ac.th/jspui/handle/123456789/17545
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120613150&doi=10.35755%2fjmedassocthai.2021.11.13031&partnerID=40&md5=d267bd2ed0863a51b6c0d94d62cc1f2b
ISSN: 1252208
Appears in Collections:Scopus 1983-2021

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