Obesity- and Lipid-Related Parameters in the Identification of Older Adults with a High Risk of Prediabetes According to the American Diabetes Association: An Analysis of the 2015 Health, Well-Being, and Aging Study
Metadatos
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Ramírez-Vélez, Robinson; Schmidt Río Valle, Jacqueline; Correa Rodríguez, María; González Jiménez, EmilioEditorial
MDPI
Materia
Adiposity Prediabetes Anthropometric measure Lipids Elderly
Fecha
2019-11-04Referencia bibliográfica
Ramírez-Vélez, R., Pérez-Sousa, M. Á., González-Ruíz, K., Cano-Gutierrez, C. A., Schmidt-RioValle, J., Correa-Rodríguez, M., ... & González-Jiménez, E. (2019). Obesity-and Lipid-Related Parameters in the Identification of Older Adults with a High Risk of Prediabetes According to the American Diabetes Association: An Analysis of the 2015 Health, Well-Being, and Aging Study. Nutrients, 11(11), 2654.
Patrocinador
This study is part of a larger project that has been funded by a Colciencias y Ministerio de Salud y la Protección Social de Colombia (The SABE Study ID 2013, no. 764). Mikel Izquierdo is funded in part by a research grant PI17/01814 of the Ministerio de Economía, Industria y Competitividad (ISCIII, FEDER).Resumen
This study evaluated the predictive ability of 11 obesity- and lipid-related parameters,
including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body
roundness index (BRI), “A” body-shape index (ABSI), conicity index (C), visceral adiposity index
(VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI
(TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose
fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with
a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data
were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307
elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting
plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and
prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver
operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator,
using the prediabetes classification to identify their sensitivity and specificity, and these indicated that
the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding
factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes,
and multivariate logistic regression analysis showed that the ORs for prediabetes increased across
quartiles (p < 0.001).