Hierarchical logistic regression models were used to measure the association between the characteristics of the schools, the students and their families; the characteristics of the food environment around the schools; and the consumption of junk food by students. [...] The Conclusion and Discussion sections established significant positive associations between identify the main findings of the analyses and propose the density of fast-food restaurants and convenience possible actions for transforming the environments stores around schools and the purchases made by around schools to make them more conducive to a youth in these restaurants or the frequency of their [...] Finally, situation, perceived health, parents’ schooling, the level 41.2% of the students in the sample have access to at of deprivation and the setting (rural/urban area) of the least two fast-food restaurants within a 750-metre zone school. [...] The variables introduced in model B do not explain the variability in junk food consumption between schools, since there is an increase of 2.9%7 in the variance between schools from model A to model B. The third model (model C) introduces school characteristics into the model, i.e., the level of deprivation and the setting (urban or rural) of the school. [...] The PCV is calculated with the following equation: ? ? ? ? ? ? = ? ? ? ? 1−? ? ? ? 2 ? ? 100 where ? ? ? ? 1 is equal to the variance of the initial model and the variance of the model including the ? ? ? ? 1 covariates.