Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/17545
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dc.contributor.authorTannirandorn A.
dc.contributor.authorPangkanon W.
dc.contributor.authorPrachansuwan A.
dc.contributor.authorIsarashewawat P.
dc.date.accessioned2022-03-10T13:17:27Z-
dc.date.available2022-03-10T13:17:27Z-
dc.date.issued2021
dc.identifier.issn1252208
dc.identifier.other2-s2.0-85120613150
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/17545-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120613150&doi=10.35755%2fjmedassocthai.2021.11.13031&partnerID=40&md5=d267bd2ed0863a51b6c0d94d62cc1f2b
dc.description.abstractBackground: 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.
dc.languageen
dc.subjectaged
dc.subjectArticle
dc.subjectbody composition
dc.subjectcalf circumference
dc.subjectChild Pugh score
dc.subjectchronic obstructive lung disease
dc.subjectcommunity dwelling person
dc.subjectcontrolled study
dc.subjectdiagnostic test accuracy study
dc.subjectfat mass
dc.subjectfemale
dc.subjecthuman
dc.subjectimpedance
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectmuscle mass
dc.subjectmuscle strength
dc.subjectmusculoskeletal disease assessment
dc.subjectosteolysis
dc.subjectphysical activity
dc.subjectpredictive value
dc.subjectprevalence
dc.subjectreceiver operating characteristic
dc.subjectsarcopenia
dc.subjectsensitivity and specificity
dc.subjectskeletal muscle
dc.subjectThai (people)
dc.subjectThailand
dc.titleRelationship between calf circumference and skeletal muscle index among community-dwelling thai elderly
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationJournal of the Medical Association of Thailand. Vol 104, No.11 (2021), p.1814-1820
dc.identifier.doi10.35755/jmedassocthai.2021.11.13031
Appears in Collections:Scopus 1983-2021

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