The sociodemographic variables included in this study were: area of residence (urban and rural), geographic region (North, Northeast, Central-West, Southeast, and South), sex (male and female), age (18-29, 30-39, 40-49, 50-59, and 60 years and over), schooling (none, incomplete elementary school, complete elementary school, complete high school, and complete higher education), and wealth index. The last one was built based on principal component analysis considering data about the number of rooms and bathrooms in the household, sewage type, assets (color television, refrigerator, washing machine, landline, mobile phone, microwave, computer, motorcycle, Internet access, and number of cars), and existence of monthly maid/domestic employee. The wealth index was categorized into quintiles. Initially, the sample was described according to the sociodemographic variables. The frequencies (%) of consumption of each selected subgroup of ultra-processed foods on the previous day were described, with their respective 95% confidence intervals (95%CI). The distribution of the score of ultra-processed food consumption was used as a count. To assess the association between the score of ultra-processed food consumption and sociodemographic variables, the score was dichotomized into the upper fifth (approximate) of the distribution, corresponding to scores greater than or equal to five.
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