Performance of Anthropometric Indicators in the Prediction of Metabolic Syndrome in the Elderly.

Ceolin, Jamile; Engroff, Paula; Mattiello, Rita; Schwanke, Carla Helena Augustin

Ceolin, Jamile; Engroff, Paula; Mattiello, Rita; Schwanke, Carla Helena Augustin.

Afiliação

Ceolin J; 1 Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil.
Engroff P; 2 Laboratory of Biochemistry and Molecular Genetics, Institute of Geriatrics and Gerontology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil.
Mattiello R; 3 Graduate Program in Medicine and Health Sciences, and Graduate Program in Pediatrics and Child Health, School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil.
Schwanke CHA; 1 Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil.

Metab Syndr Relat Disord ; 17(4): 232-239, 2019 05.

Article em En | MEDLINE | ID: mdl-30807255

RESUMO

Introduction: Studies have demonstrated the relevance of anthropometric indicators in the prediction of metabolic syndrome (MetS). However, researches involving older people are still scarce. Therefore, the objective was to describe the frequency of MetS and to determine the performance of anthropometric indicators as predictors of MetS in the total sample, in men and women. Methods: Cross-sectional study involving 479 elderly individuals attended in primary health care. The revised National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) guidelines were used for the MetS diagnosis. The anthropometric indicators evaluated were neck circumference, sagittal abdominal diameter (SAD), SAD/height, sagittal index, and conicity index (C-Index). The predictive performance of the MetS anthropometric indicators was determined using a receiver operating characteristic (ROC) curve. A cutoff point >0.700 was used to evaluate diagnostic performance. Results: The frequency of MetS was 60.5%. The anthropometric indicators demonstrating adequate performance were in total sample: SAD/height (auROC = 0.810), SAD (auROC = 0.777), and C-Index (auROC = 0.706); in women: SAD (auROC = 0.820), SAD/height (auROC = 0.810), neck circumference (auROC = 0.782), and C-Index (auROC = 0.727); in men: SAD/height (auROC = 0.768), SAD (auROC = 0.760), and C-Index (auROC = 0.724). Conclusions: A high frequency of MetS was observed. Of the five anthropometric indicators investigated, three presented good performance in the total sample (SAD, SAD/height, and C-Index), four in women (SAD, SAD/height, neck circumference, and C-Index), and three in men (SAD, SAD/height, and C-Index). The anthropometric indicators, SAD, SAD/height, and C-Index, proved to perform adequately in all the three segments investigated.

Assuntos

Adiposidade; Síndrome Metabólica/diagnóstico; Circunferência da Cintura; Idoso; Idoso de 80 Anos ou mais; Antropometria; Estudos Transversais; Feminino; Humanos; Masculino; Síndrome Metabólica/epidemiologia; Pessoa de Meia-Idade; Pescoço; Valor Preditivo dos Testes; Curva ROC; Fatores de Risco

Palavras-chave

anthropometry; metabolic syndrome; obesity; older adults; primary health care

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Adiposidade / Circunferência da Cintura Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Metab Syndr Relat Disord Assunto da revista: METABOLISMO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

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