Meat intake and Urinary tract tumors risk assessment through promoting latent variables models

MUÑOZ, SE; ROMÁN, MD; NAVARRO, A; ABALLAY, LR; DÍAZ, MP

Congreso; IEA World Congress of Epidemiology.; 2011

ISSN 0143-004X . publicación resúmen de congreso en J Epidemiol Community Health2011;65:A70 doi:10.1136/jech.2011.142976c.7 Generalize Linear Latent and Mixed Models are scarcely used in cancer epidemiology, having been basically used multilevel and generalized linear and mixed models. Using flexible models allow to include random effects, common factors coupled to a multilevel structure for unobserved heterogeneity. Cancer is the main cause of death worldwide. In Córdoba, (Argentina) bladder cancer is the fourth most incident cancer among men and ninth in the overall population. Previous studies have shown that fruits, lean meats, some cereals and cereal products, and vegetable oils have a protective effect against these tumors, while some fatty meats and use of sweeteners, may increase the risk. In the present work new methodological strategies are used in order to explore the dietary influence on the disease outcome. We define some possible promoting dimensions related to meat intake and combine with a disease model including some bio-socio-cultural characteristics. A case-control study, conducted in Córdoba, including 221/472 cases/controls interviewed with an FFQ containing 127 food items was used. A two steps model was proposed: common factor modeling. as confirmatory factor analysis  to explore the dimensionality of constructs from the diet information; and a disease model, which arises from the composition of exposure and measurement models. Two constructs, promoting and protective were identified and estimated the direct and indirect covariates effects as risk. This work improves the understanding about the diet-cancer relationship.