UNASSIGNED: There is increasing evidence that dietary habits play a @entity263 (PC) occurrence. Argentinean @entity5 risk studies require additional attention because of the singular dietary pattern of this population. A case-control study (147 PC cases, 300 controls) was conducted in C  rdoba (Argentina) throughout 2008-2013. A principal component factor analysis was performed to identify dietary patterns. A mixed logistic regression model was applied, taking into account family history of @entity5 . Possible bias was evaluated by probabilistic bias analysis. Four dietary patterns were identified: Traditional (fatty red meats, offal, processed meat, starchy vegetables, added @entity3363 and sweets, candies, fats, and vegetable oils), Prudent (nonstarchy vegetables, whole grains), @entity1735 (sodas/juices and bakery products), and Cheese (cheeses). High adherence to the Traditional (OR 2.82, 95%CI: 1.569-5.099) and @entity1735 Patterns (OR 2.14, 95%CI: 1.470-3.128) showed a promoting effect for PC, whereas the Prudent and Cheese Patterns were independent factors. PC occurrence was also associated with family history of PC. Bias adjusted ORs indicate that the validity of the present study is acceptable. High adherence to characteristic Argentinean dietary patterns was associated with increased PC risk. Our results incorporate original contributions to knowledge about scenarios in South American dietary patterns and PC occurrence.

Traditional Dietary Pattern Increases Risk of XXXX in Argentina: Results of a Multilevel Modeling and Bias Analysis from a Case-Control Study.

@entity5 :: ('MESH:D009369', 'Disease') :: ['cancer'] @entity263 :: ('MESH:D011471', 'Disease') :: ['role in prostate cancer'] @entity3363 :: ('MESH:D002241', 'Chemical') :: ['sugars'] @entity1735 :: ('CHEBI:16646', 'Chemical') :: ['Carbohydrate']
@entity263 :: (MESH:D011471,Disease) :: ['Prostate Cancer']
