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dc.contributor.authorRamírez-Vélez, Robinson
dc.contributor.authorSchmidt Río Valle, Jacqueline 
dc.contributor.authorCorrea Rodríguez, María 
dc.contributor.authorGonzález Jiménez, Emilio 
dc.date.accessioned2020-01-09T13:45:50Z
dc.date.available2020-01-09T13:45:50Z
dc.date.issued2019-11-04
dc.identifier.citationRamírez-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.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/58581
dc.description.abstractThis 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).es_ES
dc.description.sponsorshipThis 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).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectAdiposityes_ES
dc.subjectPrediabeteses_ES
dc.subjectAnthropometric measurees_ES
dc.subjectLipidses_ES
dc.subjectElderlyes_ES
dc.titleObesity- 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 Studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/nu11112654


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Atribución 3.0 España
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