Association between socioeconomic factors and food insecurity: a population-based study in the Rio de Janeiro metropolitan area, Brazil

Authors

  • Rosana SALLES-COSTA Universidade Federal do Rio de Janeiro
  • Rosangela Alves PEREIRA Universidade Federal do Rio de Janeiro
  • Maurício Teixeira Leite de VASCONCELLOS Instituto Brasileiro de Geografia e Estatística
  • Gloria Valeria da VEIGA Universidade Federal do Rio de Janeiro
  • Vânia Maria Ramos de MARINS Universidade Federal Fluminense
  • Beatriz Cordeiro JARDIM Ministério da Saúde
  • Fábio da Silva GOMES Universidade Federal Fluminense
  • Rosely SICHIERI Universidade do Estado do Rio de Janeiro

Keywords:

Cross-sectional studies, Socioeconomic factors, Food insecurity

Abstract

Objective
This 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.

Methods
A 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-square
test (p<0.05).

Results
Food 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.

Conclusion
Family income was the variable that discriminated both food security and insecurity.

References

Radimer KL, Olson CM, Greene JC, Campbel CC, Habitch J-P. Understanding hunger and developing indicators to assess it in women and children. J Nutr Educ. 1992; 24(1Suppl):36S-45S.

Álvarez MC, Estrada A, Montoya EC, MelgarQuiñónez H. Validación de escala de la seguridad alimentaria doméstica en Antioquia, Colombia. Salud Publica Mex. 2006; 48(6):474-81.

Melgar-Quinonez H, Zubieta AC, Valdez E, Whitelaw B, Kaiser L. Validation of an instrument to monitor food insecurity in Sierra de Manantlan, Jalisco. Salud Publica Mex. 2005; 47(6):413-22.

Melgar-Quinonez HR, Zubieta AC, McNelly B, Nteziyaremye A, Gerardo MF, Dunford C. Household food insecurity and food expenditure in Bolivia, Burkina Faso, and the Philippines. J Nutr. 2006; 136(5):1431S-7S.

Pérez-Escamilla RS, Randolph I, Hathie IG. Adaptation and validation of the USDA food security scale in rural Senegal [Abstract # 104.1]. Faseb J. 2004; 18(Suppl):A106.

Perez-Escamilla R, Segall-Correa AM, Maranha LK, Sampaio MFA, Marin-Leon L, Panigassi G. An adapted version of the U.S. Department of Agriculture Food Insecurity module is a valid tool for assessing household food insecurity in Campinas, Brazil. J Nutr. 2004; 134(8):1923-8.

Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional por amostra de domicílios (PNAD) 2004: segurança alimentar. Rio de Janeiro: IBGE; 2006. p.148.

Freitas MCS. Segurança alimentar e nutricional: algumas considerações 2006 [acesso em 2007 jun 13]. Disponível em: <http://www.comciencia.br/reportagens/2005/09/10.shtml>.

Habicht JP, Pelto G, Frongillo E, Rose D. Conceptualization and instrumentation of food insecurity. National Academy of Sciences Workshop [cited 2007 Jun 13]. Available from: <http://www7.nationalacademies.org/cnstat/Conceptualization_and_Instrumentation_of_Food_Security_Paper.pdf>.

Campbell CC. Food insecurity: a nutritional outcome or a predictor variable? J Nutr. 1991; 121: 408-15,

Costa-Neto C. Vila Rosário: o resgate de uma sociedade pela ciência, pela tecnologia, pelo trabalho e pela compreensão. Rio de Janeiro: Cálamo Produção Editorial; 2002. p.476.

Monteiro CA. A dimensão da pobreza, da desnutrição e da fome no Brasil: implicações para políticas públicas. Instituto Nacional de Altos Estudos. Seminário Especial Fome e Pobreza. 2003 [acesso 2006 dez 10]. Disponível em: <http://forumnacional.org.br>.

Rocha S, Albuquerque RC. Geografia da pobreza extrema e vulnerabilidade à fome. Seminário Especial Fome e Pobreza. Estudos e Pesquisas, nº 54. Rio de Janeiro; 2003.

Instituto Brasileiro de Geografia e Estatística. Censo Demográfico 2000. Rio de Janeiro.

Census and survey processing system version 3.2. international programs center. Washington (DC): Census Bureau; 2005.

Segall-Corrêa AM, Pérez-Escamilla R, Maranha LK, Sampaio MFA, Marin-León L, Panigassi G, et al. Projeto: acompanhamento e avaliação da segurança alimentar de famílias brasileiras: validação de metodologia e de instrumento de coleta de informação. Campinas: Unicamp; 2003. Relatório Técnico.

Marín-León L, Segall-Corrêa AM, Panigassi G, Maranha LK, Sampaio MFA, Pérez-Escamilla R. A. percepção de insegurança alimentar em famílias com idosos em Campinas, São Paulo, Brasil. Cad Saúde Pública. 2005; 21(5):1433-40.

Mattar FN. Análise crítica dos estudos de estratificação sócio-econômica de ABA. ABIPEME Rev Admin. 1995; 30(1):57-74.

Rao JNK, Scott AJ. On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data. Ann Statist. 1984; 12(1):46-60.

R [computer program]. Version 2.5.0. The R Foundation for Statistical Computing; 2007. Viena; 2007.

Wolter KM. Introduction to variance estimation. New York: Springer; 2003.

STATA [computer program]. Version 9.0. College Station (TX): Stata Corporation; 2006.

Nord M, Andrews M, Carlson S. Household food security in the United States, 2005. Washington (DC): United States Department of Agriculture; 2006. Food Assistance and Nutrition Research Report, 29 [cited 2007 Jun 13]. Available from: <http://www.ers.usda.gov/Publications/err29/>.

Bickel G, Nord M, Price C, Hamilton W, Cook J. Measuring food security in the United States: guide to measuring household food security. Alexandria: U.S. Department of Agriculture; 2000.

Nnakwe N, Yegammia C. Prevalence of food insecurity among households with children in Coimbatore, India. Nutr Res. 2002; 22(9): 1009-16.

Instituto Brasileiro de Geografia e Estatística. Produto interno bruto dos municípios. [acesso 2005 abr 24]. Disponível em: <http://www.ibge.gov.br>.

Published

2023-09-05

How to Cite

SALLES-COSTA, R. ., Alves PEREIRA, R., Teixeira Leite de VASCONCELLOS, M. ., da VEIGA, G. V. ., Ramos de MARINS, V. M., Cordeiro JARDIM, B., … SICHIERI, R. . (2023). Association between socioeconomic factors and food insecurity: a population-based study in the Rio de Janeiro metropolitan area, Brazil. Brazilian Journal of Nutrition, 21(Suplemento). Retrieved from https://seer.sis.puc-campinas.edu.br/nutricao/article/view/9642