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Insegurança alimentar grave municipal no Brasil em 2013 / Severe food insecurity in Brazilian Municipalities, 2013
Gubert, Muriel Bauermann; Perez-Escamilla, Rafael.
  • Gubert, Muriel Bauermann; Universidade de Brasília. Brasília. BR
  • Perez-Escamilla, Rafael; Yale School of Public Health. New Haven. US
Ciênc. Saúde Colet. (Impr.) ; 23(10): 3433-3444, Out. 2018. tab, graf
Article in Portuguese | LILACS | ID: biblio-974679
RESUMO
Resumo O objetivo deste artigo é estimar as prevalências de insegurança alimentar grave (IAG) para municípios brasileiros, em 2013. Construído modelo de regressão logística preditor de IAG, utilizando a Pesquisa Nacional por Amostras de Domicílios (PNAD) 2013. A IAG foi aferida pela Escala Brasileira de Insegurança Alimentar (EBIA). O modelo foi aplicado ao Censo de 2010, sendo preditas as prevalências municipais. As maiores prevalências estão concentradas na Região Norte e Nordeste, que apresentaram também as maiores discrepâncias municipais. A maior prevalência municipal de IAG foi no Maranhão e a menor no Rio Grande do Sul. O Maranhão foi também o Estado com maior discrepância intraestadual na prevalência de IAG. Na análise espacial verificou-se que as maiores prevalências de IAG estavam concentradas na Região Norte e Nordeste e se reduzia à medida que desloca-se para o Sul do país. No Acre, 100% dos municípios apresentaram prevalência muito alta de IAG. Em São Paulo, 59,1% dos municípios tiveram prevalências baixas de IAG. As prevalências de IAG municipais foram mais elevadas nas Regiões Norte e Nordeste que apresentaram grande discrepância de distribuição intrarregional e intraestadual. Tais prevalências podem auxiliar o processo de melhoria e focalização das políticas de combate à fome no Brasil.
ABSTRACT
Abstract The scope of this article was to estimate the prevalence of severe food insecurity (SFI) in Brazilian municipalities in 2013. A logistic regression model was used to predict SFI. To construct the model, the 2013 National Household Sample Survey (PNAD) was used. SFI was measured using the Brazilian Food Insecurity Scale (EBIA). The final model was applied to the 2010 Census, predicting the municipal prevalence. The highest prevalence values were concentrated in the North and Northeast of Brazil, which also showed the highest municipality prevalence disparities. The highest municipal prevalence value of SFI was in the state of Maranhão and the lowest in Rio Grande do Sul. Maranhão was also the State with the largest intrastate disparities in the prevalence of SFI. Spatial analysis showed a higher prevalence of SFI in the North and Northeast regions. Acre had 100% of its municipalities presenting a very high prevalence of SFI. By contrast in the State of São Paulo, 59.1% of the municipalities have a low prevalence of SFI. The prevalence of municipal SFI was higher in Brazil's North and Northeast and there were major disparities in intraregional and intrastate distribution. These prevalence values could assist in improving the targeting of policies to combat food insecurity in Brazil.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Public Policy / Models, Statistical / Food Supply Type of study: Prevalence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: Portuguese Journal: Ciênc. Saúde Colet. (Impr.) Journal subject: Public Health Year: 2018 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Universidade de Brasília/BR / Yale School of Public Health/US

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Full text: Available Index: LILACS (Americas) Main subject: Public Policy / Models, Statistical / Food Supply Type of study: Prevalence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: Portuguese Journal: Ciênc. Saúde Colet. (Impr.) Journal subject: Public Health Year: 2018 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Universidade de Brasília/BR / Yale School of Public Health/US