title: [Socio-demographic and food insecurity characteristics of soup-kitchen users in Brazil].
abstract: This study aimed to characterize users of a government soup-kitchen program and the association with family food insecurity, using a cross-sectional design and random sample of 1,637 soup-kitchen users. The study used a questionnaire with socioeconomic variables and the Brazilian Food Insecurity Scale, and measured weight and height. The chi-square test was applied, and the crude and adjusted prevalence ratios (PR) were calculated using Poisson regression. Prevalent characteristics included per capita income ranging from one-half to one minimum wage (35.1%), complete middle school (39.8%), and food security (59.4%). Users in the North of Brazil showed the worst data: incomplete primary school (39.8%), per capita income up to one-half the minimum wage (50.8%), and food insecurity (55.5%). Prevalence ratios for food insecurity were higher among users with per capita income up to one-fourth the minimum wage (p < 0.05). Income was the only variable that remained associated with higher prevalence of food insecurity in the adjusted PR. Knowing the characteristics of soup-kitchen users with food insecurity can help orient the program's work, location, and operations.
authors.affiliation: Universidade de Brasília, Brasil.
authors.forename: Kátia Cruz
authors.initials: KC
authors.lastname: Godoy
authors.affiliation: Universidade de Brasília, Brasil.
authors.forename: Karin Eleonora Oliveira
authors.initials: KE
authors.lastname: Sávio
authors.affiliation: Universidade de Brasília, Brasil.
authors.forename: Rita de Cássia
authors.initials: Rde C
authors.lastname: Akutsu
authors.affiliation: Universidade de Brasília, Brasil.
authors.forename: Muriel Bauermann
authors.initials: MB
authors.lastname: Gubert
authors.affiliation: Universidade de Brasília, Brasil.
authors.forename: Raquel Braz Assunção
authors.initials: RB
authors.lastname: Botelho
mesh_terms: D000293:Adolescent; D000328:Adult; D001938:Brazil / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005191:Family Characteristics; D005260:Female; D005523:Food Supply / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009313:National Health Programs; D009749:Nutrition Surveys; D015995:Prevalence; D012147:Restaurants; D055815:Young Adult