(1) Background: Metabolic syndrome is associated with cardiovascular complications. Therefore, this study aims to establish cut points for the conicity index based on the components of the metabolic syndrome and to associate it with characteristics sociodemographic, food consumption and occupational factors in Brazilian rural workers; (2) Methods: Cross-sectional study carried out with farmers. The receiver operating characteristic curve was calculated and the cutoff points for the conicity index were identified by the area under the curve, sensitivity and specificity. The variables included in the binary logistic regression analysis were selected by considering p < 0.20 in the bivariate test; (3) Results: The cut points were similar in females according to both criteria, resulting in a single cut-off of 1.269. In males, the cut points showed differences, resulting in 1.272 according to the NCEP-ATP III and 1.252 according to the IDF. We have shown that younger people, those who work more than 40 hours a week and the lowest contribution of culinary ingredients are associated with increased odds of abdominal obesity. While the consumption of the products they sell or produce decreases these chances; (4) Conclusions: The conicity index showed high discriminatory power for the identification of abdominal obesity in rural workers.