Evidence map›Paper›PMID 34416881›Full record

ArticleBMC musculoskeletal disorders2021

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women.

Rafaela Andrade do Nascimento, Mariana Carmem Apolinário Vieira, Rafaella Silva Dos Santos Aguiar Gonçalves, Mayle Andrade Moreira, Maria Socorro Medeiros de Morais, Saionara Maria Aires da Câmara, Álvaro Campos Cavalcanti Maciel

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Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rafaela Andrade do NascimentoPhysiotherapy, Department of Federal, University of Rio Grande Do Norte, 3000 Senador Salgado Filho Avenue, S/N, Lagoa Nova, Natal, RN, CEP: 59072-970, Brazil. rafinha_andrade357@hotmail.com.
Mariana Carmem Apolinário VieiraPhysiotherapy, Department of Federal, University of Rio Grande Do Norte, 3000 Senador Salgado Filho Avenue, S/N, Lagoa Nova, Natal, RN, CEP: 59072-970, Brazil.
Rafaella Silva Dos Santos Aguiar GonçalvesPhysiotherapy, Department of Federal, University of Rio Grande Do Norte, 3000 Senador Salgado Filho Avenue, S/N, Lagoa Nova, Natal, RN, CEP: 59072-970, Brazil.
Mayle Andrade MoreiraPhysiotherapy Department of Federal, University of Ceará, 949 Alexandre Baraúna St, Rodolfo Teófilo, Fortaleza, CEP: 60430-110, Brazil.
Maria Socorro Medeiros de MoraisHealth Sciences Center of Federal, University of Rio Grande Do Norte, General Gustavo Cordeiro de Farias St, Petrópolis, Natal, RN, CEP 59012-570, Brazil.
Saionara Maria Aires da CâmaraFaculty of Health Sciences of Trairi, Santa Cruz, Brazil, Vila Trairi St, Santa Cruz, RN, CEP: 59200-000, Brazil.
Álvaro Campos Cavalcanti MacielPhysiotherapy, Department of Federal, University of Rio Grande Do Norte, 3000 Senador Salgado Filho Avenue, S/N, Lagoa Nova, Natal, RN, CEP: 59072-970, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reduction of female sex hormones causes changes in the contractile properties of muscles as well as infiltration of fat in the muscle tissue. This results in a consequent decline in muscle strength. These changes are related to higher levels of functional impairment and physical disability. In this sense, several anthropometric indices have been used to quantify body and visceral fat. Thus, the objective of this paper is to propose cutoff points for adiposity anthropometric indices in order to identify low muscle mass, as well as to analyze the relationship between these indices and low muscle mass in middle-aged and older women.

methodsCross-sectional analytical study carried out in the Northeast of Brazil. The sample was formed by 593 women between 40-80 years old. Data collection included anthropometric assessment (BMI: Body Mass Index - WC: Waist Circumference - WHR: Waist-to-hip Ratio - WHtR: Waist-to-height Ratio - CI: Conicity Index - BAI: Body Adiposity Index - VAI: Visceral Adiposity Index - LAP: Lipid Accumulation Product), bioimpedance test and biochemical dosage. Moreover, sociodemographic data and practice of physical activity were collected. Descriptive statistics, Student's t-test, ROC curves, chi-squared and logistic regression were performed.

resultsThe participants had a mean age of 53.11 (8.89) years, BMI of 28.49 (5.17) kg/m

conclusionsAll anthropometric indices, except VAI, showed adequate accuracy in identifying low muscle mass in women, especially those that took into account WC. This suggests that they can become accessible and also be cost-effective strategies for assessing and managing health outcomes related to muscle mass analysis.

Indexed as

AdiposityObesityAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMass ScreeningMiddle AgedMusclesAdiposityAgingBody compositionMuscle massWomen

Identifiers

PMID34416881
PMCPMC8379807

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