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      Fatores demográficos e socioambientais associados à insegurança alimentar domiciliar nos diferentes territórios da cidade de Salvador, Bahia, Brasil Translated title: Demographic and socio-environmental factors associated with household food insecurity in different territories of the city of Salvador, Bahia State, Brazil Translated title: Factores demográficos y socioambientales asociados a la inseguridad alimentaria domiciliar en los diferentes territorios de la ciudad de Salvador, Bahía, Brasil

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          Abstract

          O objetivo deste estudo foi apresentar a prevalência da insegurança alimentar domiciliar em diferentes territórios da cidade de Salvador, Bahia, Brasil, e analisar fatores demográficos e socioambientais a ela associados. Os dados utilizados são de uma pesquisa maior denominada Qualidade do Ambiente Urbano de Salvador - QUALISalvador, realizada entre 2018 e 2020 em Salvador. A insegurança alimentar foi avaliada por meio da Escala Brasileira de Insegurança Alimentar. Foram analisados 15.171 domicílios. Modelos de regressão logística multinominal foram utilizados para analisar a associação de variáveis demográficas e socioambientais com insegurança alimentar leve (IAL) e moderada ou grave (IAMG), para Salvador e macrozonas. Salvador apresentou 40,96% de insegurança alimentar. Nas macrozonas, as prevalências se diferenciaram: Orla Atlântica (25,8%), Área Urbana Consolidada (33%), Subúrbio (45,7%) e Miolo (47,9%). Todos os fatores analisados apresentaram associação com IAL e/ou IAMG no modelo para Salvador, entre eles estão o responsável pelo domicílio ter escolaridade ≤ 4 anos (IAL: OR = 2,00; IC95%: 1.61-2,47/IAMG: OR = 4,94; IC95%: 3,83-6,35), renda familiar per capita de até 1/2 salário mínimo (IAL: OR = 2,62; IC95%: 2,37-2,93/IAMG: OR = 4,03; IC95%: 3,53-4,60), percepção sobre a qualidade do ambiente urbano como ruim (IAL: OR = 1,57; IC95%: 1,36-1,81/IAMG: OR = 2,03; IC95%: 1,73-2,38), com maior prevalência de insegurança alimentar em cenários de pior situação sociodemográfica. Na macrozona Miolo todos os fatores também se mantiveram associados à insegurança alimentar. Assim, os fatores de vulnerabilidade social estão associados à insegurança alimentar na capital e macrozonas, mas apresentam-se de formas especificas segundo características de cada território.

          Translated abstract

          This study aimed to present the prevalence of household food insecurity in different territories of the city of Salvador, Bahia State, Brazil, and to analyze demographic and socio-environmental factors associated with it. The data used are from a larger survey named Quality of the Urban Environment of Salvador - QUALISalvador, carried out from 2018 to 2020 in in the city. Food insecurity was assessed using the Brazilian Food Insecurity Scale. A total of 15,171 households were analyzed. Multinomial logistic regression models were used to analyze the association of demographic and socio-environmental variables with mild food insecurity (MFI) and moderate or severe food insecurity (MSFI) for Salvador and by macrozones. Salvador presented 40.96% of food insecurity. In the macrozones, the prevalence differed: Atlantic Coast (25.8%), Consolidated Urban Area (33%), Suburb (45.7%), and Core (47.9%). All factors analyzed were associated with MFI and/or MSFI in the model for Salvador, namely: household head having schooling ≤ 4 years (MFI: OR = 2.00; 95%CI: 1.61-2.47/MSFI: OR = 4.94; 95%CI: 3.83-6.35), having per capita family income of up to 1/2 minimum wage (MFI: OR = 2.62; 95%CI: 2.37-2.93/MSFI: OR = 4.03; 95%CI: 3.53-4.60), perception of the quality of the urban environment as poor (MFI: OR = 1.57; 95%CI: 1.36-1.81/MSFI: OR = 2.03; 95%CI: 1.73-2.38), with a higher prevalence of food insecurity in scenarios of worse sociodemographic situation. In the Core Macrozone, all factors were also associated with food insecurity. Thus, the factors of social vulnerability are associated with food insecurity in the capital and macrozones, but they are presented in a specific way according to the characteristics of each territory.

          Translated abstract

          El objetivo de este estudio fue estimar la prevalencia de la inseguridad alimentaria familiar en diferentes territorios de la ciudad de Salvador (Bahía, Brasil) y analizar sus factores demográficos y socioambientales asociados. Los datos provienen de la encuesta Calidad del Ambiente Urbano de Salvador - QUALISalvador, realizada entre 2018 y 2020 en Salvador. La inseguridad alimentaria se evaluó mediante la Escala Brasileña de Inseguridad Alimentaria. Se analizaron 15.171 domicilios. Se utilizaron los modelos de regresión logística multinomial para analizar la asociación de variables demográficas y socioambientales con la inseguridad alimentaria leve (IAL) y moderada o severa (IAMG) para Salvador, por macrozonas. Salvador presentó el 40,96% de inseguridad alimentaria. En las macrozonas, las prevalencias fueron diferentes: Orla Atlântica (25,8%), Área Urbana Consolidada (33%), Subúrbio (45,7%) y Miolo (47,9%). Todos los factores analizados se asociaron con IAL e/o IAMG en el modelo para Salvador, entre ellos destacan el responsable del hogar con nivel de estudios ≤ 4 años (IAL: OR = 2,00; IC95%: 1,61-2,47/IAMG: OR = 4,94; IC95%: 3,83-6,35), con renta familiar per cápita de hasta 1/2 salario mínimo (IAL: OR = 2,62; IC95%: 2,37-2,93/IAMG: OR = 4,03; IC95%: 3,53-4,60), percepción de mala calidad del medio urbano (IAL: OR = 1,57; IC95%: 1,36-1,81/IAMG: OR = 2,03; IC95%: 1,73-2,38) y mayor prevalencia de inseguridad alimentaria en escenarios con peor situación sociodemográfica. En la macrozona Miolo, todos los factores también estuvieron asociados con la inseguridad alimentaria. Por tanto, los factores de vulnerabilidad social se asocian a la inseguridad alimentaria en la capital y en las macrozonas, pero son específicos según las características de cada territorio.

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          Most cited references43

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          Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions

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            Specification Tests for the Multinomial Logit Model

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              Refinement of the Brazilian Household Food Insecurity Measurement Scale: Recommendation for a 14-item EBIA

              OBJECTIVE: To review and refine Brazilian Household Food Insecurity Measurement Scale structure. METHODS: The study analyzed the impact of removing the item "adult lost weight" and one of two possibly redundant items on Brazilian Household Food Insecurity Measurement Scale psychometric behavior using the one-parameter logistic (Rasch) model. Brazilian Household Food Insecurity Measurement Scale psychometric behavior was analyzed with respect to acceptable adjustment values ranging from 0.7 to 1.3, and to severity scores of the items with theoretically expected gradients. The socioeconomic and food security indicators came from the 2004 National Household Sample Survey, which obtained complete answers to Brazilian Household Food Insecurity Measurement Scale items from 112,665 households. RESULTS: Removing the items "adult reduced amount..." followed by "adult ate less..." did not change the infit of the remaining items, except for "adult lost weight", whose infit increased from 1.21 to 1.56. The internal consistency and item severity scores did not change when "adult ate less" and one of the two redundant items were removed. CONCLUSION: Brazilian Household Food Insecurity Measurement Scale reanalysis reduced the number of scale items from 16 to 14 without changing its internal validity. Its use as a nationwide household food security measure is strongly recommended.
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                Author and article information

                Journal
                csp
                Cadernos de Saúde Pública
                Cad. Saúde Pública
                Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz (Rio de Janeiro, RJ, Brazil )
                0102-311X
                1678-4464
                2022
                : 38
                : 11
                : e00280821
                Affiliations
                [1] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Escola de Nutrição Brazil
                [2] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Escola de Administração Brazil
                [3] Salvador orgnameFundação Oswaldo Cruz orgdiv1Centro de Integração de Dados e Conhecimentos para Saúde Brazil
                Author information
                https://orcid.org/0000-0003-1590-2448
                https://orcid.org/0000-0002-4706-0284
                https://orcid.org/0000-0001-5234-3679
                https://orcid.org/0000-0003-3243-2767
                https://orcid.org/0000-0001-8565-1125
                https://orcid.org/0000-0003-3002-1032
                Article
                S0102-311X2022001105001 S0102-311X(22)03801105001
                10.1590/0102-311xpt280821
                687e335d-8926-4d39-bdc4-4428f5383156

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 02 December 2021
                : 11 August 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 43, Pages: 0
                Product

                SciELO Brazil

                Categories
                Artigo

                Insegurança Alimentar,Zona Urbana,Desigualdades Sociais,Food Insecurity,Urban Area,Social Inequalities,Inseguridad Alimentaria,Área Urbana,Desigualdades Sociales

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