Crisis, fiscal austerity and food insecurity: associated factors, trends and spatial distribution via PNAD and POF

• Autor(a) principal: Amaral, Marcelo Rubens dos Santos do
• Data de Publicação: 2023
• Outros Autores: Silva, Pedro Luis do Nascimento, Leon, Antonio Carlos Monteiro Ponce de
• Tipo de documento: preprint
• Idioma: por
• Título da fonte: SciELO Preprints
• Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/5737
• topic: Estudos transversais; Insegurança Alimentar; Escala Brasileira de Insegurança Alimentar; Austeridade; Cross-sectional Studies; Food Insecurity; Brazilian Food Insecurity Scale; Austerity; Estudios Transversales; Inseguridad Alimentaria; Escala Brasileña de Inseguridad Alimentaria; Austeridad

This study aims to identify and analyze factors associated with Food Insecurity (FI), trends and spatial distributions for geographical strata. The hypothesis of worsening of the outcome of severe FI, measured by the Brazilian Food Insecurity Scale (EBIA), in households as an effect of the crisis and/or the austerity policy, was investigated. The article involves studies with cross-sectional design and mixed ecological of spatio-temporal trends, based on 4 national IBGE surveys. It was adopted a weight calibration procedure according to population distribution by gender and age group, as well as estimation and modeling methods that incorporate effects of the sample design. Poisson regression with robust estimation of variance was used to estimate prevalence ratios of severe FI at the etiological level. For the ecological level, two multilevel modeling approaches were employed for repeated measures of strata: multiple log-log regression for associations; and, modeling of splines for trend estimation. The findings point to impacts of the current austerity, with changes in trends in the Bolsa Família Program and reflections on the increase in severe FI. It is projected an increase in FI and distance from the achievement of the SDG nº 2 in 2030 by Brazil, despite the success obtained in 2014 for MDG nº 1.