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Normalizing calf circumference to identify low skeletal muscle mass in older women: a cross-sectional study

Pedro Pugliesi Abdalla, Ana Cláudia Rossini Venturini, André Pereira dos Santos, Marcio Tasinafo, José Augusto Gonçalves Marini, Thiago Cândido Alves, Alcivandro de Sousa Oliveira, Jorge Mota, Gareth Stratton Orcid Logo, Dalmo Roberto Lopes Machado

Nutrición Hospitalaria, Volume: 38, Issue: 4, Pages: 729 - 735

Swansea University Author: Gareth Stratton Orcid Logo

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DOI (Published version): 10.20960/nh.03572

Abstract

Introduction: functional limitation is a result of sarcopenia and is associated with loss of skeletal muscle mass (SMM). Cost-effective methods are important for the identification of sarcopenia. Objective: to propose cutoff points for normalized calf circumference (CC) in order to identify low SMM...

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Published in: Nutrición Hospitalaria
ISSN: 0212-1611 1699-5198
Published: ARAN Ediciones 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57095
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Abstract: Introduction: functional limitation is a result of sarcopenia and is associated with loss of skeletal muscle mass (SMM). Cost-effective methods are important for the identification of sarcopenia. Objective: to propose cutoff points for normalized calf circumference (CC) in order to identify low SMM in older women based on their functional limitation. Methods: in this descriptive, cross-sectional study the CC values of a young female sample (n = 78) were used to establish cutoff points (-2 SD) for low SMM in older women (n = 67). Functional limitation was identified by the six-minute walk test (≤ 400 m). CC was normalized by body mass, height, and BMI. The diagnostic accuracy of CC was calculated with a ROC curve, using functional limitation as standard. Results: cutoff points and area under the curve (AUC) were: CC (≤ 28.5; 0.62); CC·body mass-1 (≤ 0.40; 0.63); CC·height-2 (≤ 8.52; 0.55) and CC·BMI-1 (≤ 1.10; 0.73). Only CC·BMI-1 achieved a desirable accuracy (AUC > 0.7) to distinguish functional limitation. Conclusion: the accuracy attained supports the use of CC·BMI-1 to identify low SMM in older women. In the clinical context it is possible to predict the risk of sarcopenia when sophisticated methods for determining SMM are not available.
Keywords: Aged. Anthropometry. Frail elderly. Mobility disability. Muscle mass.
College: Faculty of Science and Engineering
Issue: 4
Start Page: 729
End Page: 735

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