Cutoff point of TyG index for metabolic syndrome in Brazilian farmers.

• Autor(a) principal: Ferreira, Júlia Rabelo Santos
• Data de Publicação: 2021
• Outros Autores: Zandonade, Eliana, Bezerra, Olívia Maria de Paula Alves, Salaroli, Luciane Bresciani
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFOP
• Texto Completo: http://www.repositorio.ufop.br/jspui/handle/123456789/16814; https://doi.org/10.20945/2359-3997000000401
• topic: Insulin resistance

Objective: Thus, the aim of this study was to identify the cutoff point of the TyG index for the diagnosis of insulin resistance (IR), according to two different diagnostic criteria of metabolic syndrome in a rural Brazilian population. Materials and methods: The study population consisted of 790 family farmers from 18 to 59 years old. The triglyceride-glucose index (TyG index) was calculated, and the Metabolic Syndrome was defined using the NCEP-ATPIII and IDF criteria. Mann-Whitney U test was used to analyze the association of quantitative and qualitative variables. When the qualitative variable had three or more categories, the comparison between the means was performed by the Kruskal- Wallis test (using the Mann-Whitney U Test two by two to identify the differences). For correlations, Spearman’s correlation test was used. The cutoff values of TyG index for MetS were obtained using the Receiver Operating Characteristic (ROC) curve analysis with the area under the curve (AUC) and the Youden Index. Results: The median TyG values increased according to the aggregation of the components of MetS. The AUCs and Youden’s cutoff point for TyG index according to the NCEP and IDF diagnostic criteria were 0.873, Ln 4.52 (sensitivity: 84.30%; specificity: 75.75%), and 0.867, Ln 4.55 (sensitivity: 80.0%; specificity: 79.82%), respectively. Conclusion: A cutoff point of Ln 4.52 was defined, and it can be used both in clinical practice and epidemiological studies. It represents an important tool for promotion, protection and recovery health of rural populations.