Association between socioeconomic factors and food insecurity: a population-based study in the Rio de Janeiro metropolitan area, Brazil
ObjectiveThis work aims to evaluate the prevalence of food insecurity among families from Duque de Caxias, in the Rio de Janeiro Metropolitan Area and the association between socioeconomic indicators and food insecurity. MethodsA population-based cross-sectional study investigated a probabilistic sa...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Institución: | Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS) |
| Repositorio: | Revista de Nutrição |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.periodicos.puc-campinas.edu.br:article/9642 |
| Acceso en línea: | https://periodicos.puc-campinas.edu.br/nutricao/article/view/9642 |
| Access Level: | acceso abierto |
| Palabra clave: | Cross-sectional studies Socioeconomic factors Food insecurity Estudos transversais Fatores socioeconômicos Insegurança alimentar |
| Sumario: | ObjectiveThis work aims to evaluate the prevalence of food insecurity among families from Duque de Caxias, in the Rio de Janeiro Metropolitan Area and the association between socioeconomic indicators and food insecurity. MethodsA population-based cross-sectional study investigated a probabilistic sample composed of 1,085 households from the district of Campos Elíseos, in the municipality of Duque de Caxias, Rio de Janeiro, Brazil. Information on socioeconomic condition was obtained using a structured questionnaire. Food insecurity was assessed by the Brazilian Food Insecurity Scale, which allows classifying the families into food security, or mild, moderate or severe food insecurity. The analyses took into account the sampling design effect. The food insecurity prevalence was estimated and its association with socioeconomic variables was assessed using the chi-squaretest (p<0.05). ResultsFood insecurity prevalence was 53.8%. The following variables were inversely and significantly associated with food insecurity: family monthly per capita income, head of family educational level, socioeconomic level (classified according to the Brazilian Association of Market Research criteria), number of family members, and having a water filter in the household. ConclusionFamily income was the variable that discriminated both food security and insecurity. |
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