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Factors associated with food insecurity in households of public school students of Salvador City, Bahia, Brazil.
de Souza Bittencourt, Liliane; Chaves dos Santos, Sandra Maria; de Jesus Pinto, Elizabete; Aliaga, Marie Agnes; de Cássia Ribeiro-Silva, Rita.
Afiliação
  • de Souza Bittencourt L; Escola de Nutrição da Universidade Federal da Bahia. Av. Araújo Pinho 32, Canela. CEP 40.110-150 Salvador, Bahia, Brazil.
  • Chaves dos Santos SM; Escola de Nutrição da Universidade Federal da Bahia. Av. Araújo Pinho 32, Canela. CEP 40.110-150 Salvador, Bahia, Brazil.
  • de Jesus Pinto E; Escola de Nutrição da Universidade Federal da Bahia. Av. Araújo Pinho 32, Canela. CEP 40.110-150 Salvador, Bahia, Brazil.
  • Aliaga MA; Escola de Nutrição da Universidade Federal da Bahia. Av. Araújo Pinho 32, Canela. CEP 40.110-150 Salvador, Bahia, Brazil.
  • de Cássia Ribeiro-Silva R; Escola de Nutrição da Universidade Federal da Bahia. Av. Araújo Pinho 32, Canela. CEP 40.110-150 Salvador, Bahia, Brazil.
J Health Popul Nutr ; 31(4): 471-9, 2013 Dec.
Article em En | MEDLINE | ID: mdl-24592588
ABSTRACT
This cross-sectional study was conducted to find out the factors associated with food insecurity (FI) in households of the students aged 6-12 years in public schools of Salvador city, Bahia, Brazil. The study included 1,101 households. Food and nutritional insecurity was measured using the Brazilian Food Insecurity Scale (BFIS). Data on socioeconomic and demographic characteristics as well as environmental and housing conditions were collected during the interviews conducted with the reference persons. Multivariate polytomous logistic regression was used in assessing factors associated with food insecurity. We detected prevalence of food insecurity in 71.3% of the households. Severe and moderate forms of FI were diagnosed in 37.1% of the households and were associated with (i) female gender of the reference person in the households (OR 2.21, 95% CI 1.47-3.31); (ii) a monthly per-capita income below one-fourth of the minimum wage (US$ 191.73) (OR 2.63, 95% CI 1.68-4.08); (iii) number of residents per bedroom below 3 persons (OR 1.91, 95% CI 1.23-2.96); and (iv) inadequate housing conditions (OR 1.84, 95% CI 1.12-4.49). Socioeconomic inequalities determine the factors associated with FI of households in Salvador, Bahia. Identifying vulnerabilities is necessary to support public policies in reducing food insecurity in the country. The results of the present study may be used in re-evaluating strategies that may limit the inequalities in school environment.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudantes / População Urbana / Abastecimento de Alimentos Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudantes / População Urbana / Abastecimento de Alimentos Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2013 Tipo de documento: Article