Abstract
ABSTRACT Objective This cross-sectional population-based study aimed to determine the cutoff points of anthropometric indicators to screen for sarcopenia and the association between sarcopenia and these indicators. Methods The sample consisted of 601 older adults. Sarcopenia was detected by appendicular skeletal muscle index. The receiver operating characteristic curve identified the cutoff points for body mass index, waist-to-height ratio, waist circumference, and handgrip strength to screen for sarcopenia. Based on the cut-off points, principal component analysis determined which indicators had a better fit as discriminants to compose an indicator. Finally, logistic regression analysis was performed with this indicator as the main independent variable. Results The results showed that all anthropometric indicators and handgrip strength were capable of discriminating sarcopenia; however, body mass index, waist circumference, and waist-to-height ratio were the best discriminants in principal components analysis, composing the new indicator. Adjusted logistic regression analysis showed that sarcopenia was associated with the indicator in both sexes. Conclusion The concomitant presence of low body mass index, low waist circumference, and low waist-to-height ratio may help to discriminate sarcopenia.
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