Measures May Predict Metabolic Syndrome in Older Adults
MONDAY, April 22, 2019 -- Three simple measurements may predict metabolic syndrome (MetS) in older patients, according to a study recently published in Metabolic Syndrome and Related Disorders.
Jamile Ceolin, from the Pontifical Catholic University of Rio Grande do Sul in Porto Alegre, Brazil, and colleagues assessed the performance of anthropometric indicators (neck circumference, sagittal abdominal diameter [SAD], SAD/height, sagittal index, and conicity index [C-Index]) as predictors of MetS in 479 elderly individuals (ages, ≥60 years or older) seen in a primary health care clinic.
The researchers found that the frequency of MetS was 60.5 percent. In the total study sample, the anthropometric indicators demonstrating adequate performance were: SAD/height (area under receiver operating characteristic [auROC] curve, 0.810), SAD (auROC, 0.777), and C-Index (auROC, 0.706). In the analysis of women, adequate anthropometric indicators were SAD (auROC, 0.820), SAD/height (auROC, 0.810), neck circumference (auROC, 0.782), and C-Index (auROC, 0.727). In men, adequate indicators included SAD/height (auROC, 0.768), SAD (auROC, 0.760), and C-Index (auROC, 0.724).
"This study reinforces the importance of simple clinical observation and measurement in the effort to recognize and treat metabolic disease associated with obesity," Adrian Vella, M.D., editor in chief of Metabolic Syndrome and Related Disorders, said in a statement.
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Posted: April 2019