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Household food insecurity, nutritional status and morbidity in Brazilian children

Published online by Cambridge University Press:  19 February 2016

Muriel Bauermann Gubert*
Affiliation:
Universidade de Brasília, Faculdade de Ciências da Saúde, Departamento de Nutrição, Campus Universitário Darcy Ribeiro, Asa Norte, CEP 70910-900, Brasília, DF, Brazil Yale School of Public Health, Department of Chronic Disease Epidemiology, New Haven, CT, USA
Ana Maria Spaniol
Affiliation:
Ministério da Saúde, Coordenação Geral de Alimentação e Nutrição, Brasília, DF, Brazil
Gisele Ane Bortolini
Affiliation:
Ministério da Saúde, Coordenação Geral de Alimentação e Nutrição, Brasília, DF, Brazil
Rafael Pérez-Escamilla
Affiliation:
Yale School of Public Health, Department of Chronic Disease Epidemiology, New Haven, CT, USA
*
*Corresponding author: Email murielgubert@gmail.com
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Abstract

Objective

To identify the association of household food insecurity (HFI) with anthropometric status, the risk of vitamin A deficiency and anaemia, morbidities such as cough and fever, and hospitalizations for diarrhoea and pneumonia in children under 5 years old.

Design

Cross-sectional study using data from the 2006 Brazilian Demographic and Health Survey. HFI was measured with the Brazilian Food Insecurity Measurement Scale (EBIA). Vitamin A deficiency and anaemia were assessed in blood samples. Child morbidities were reported by the child’s mother and included cough, fever, and hospitalizations for diarrhoea and pneumonia. Regression results were expressed as unadjusted and adjusted OR and corresponding 95 % CI for severe food insecurity, with statistical significance set at P<0·05.

Setting

Nationally representative survey.

Subjects

Children (n 4064) under 5 years old.

Results

There was no association between HFI and vitamin A deficiency, pneumonia, wasting or overweight. The prevalence of cough, fever, hospitalization for diarrhoea and stunting were associated with degree of HFI severity. There was a significant association of morbidities and stunting with severe food insecurity (v. food secure). After controlling for confounders, the association between severe food insecurity (v. food secure/rest of food insecurity categories) and the prevalence of common morbidities remained strong, showing that severely food-insecure children had a greater likelihood of experiencing cough (adjusted OR=1·79) and of being hospitalized for diarrhoea (adjusted OR=2·55).

Conclusions

Severe HFI was associated with cough and severe diarrhoea among Brazilian children.

Type
Research Papers
Copyright
Copyright © The Authors 2016 

Household food insecurity (HFI) happens when people do not have, at all times, physical, social and economic access to sufficient, safe and nutritious food which meets their dietary needs and food preferences for an active and healthy life( 1 ). HFI is a global epidemic that can lead to hunger and malnutrition. The FAO estimates that 795 million people are undernourished globally( 2 ). In Brazil, only 62·5 % of households are considered food secure and 4·8 % are severely food insecure, a percentage that reaches 5·8 % in households with minors under the age of 18 years( Reference Brasil 3 ).

HFI is known to be associated with insufficient or inadequate food intake( Reference Addo, Marquis and Lartey 4 ) and this low intake of healthy foods and micronutrients is associated with worse health status( Reference Stuff, Casey and Szeto 5 ), both in developed and developing countries. Children are negatively affected by HFI( Reference Saha, Frongillo and Alam 6 , Reference Monteiro, Schmidt and Costa 7 ) as it has been associated with a higher prevalence of hospitalization, respiratory infection, fever, diarrhoea, and nutritional deficiencies such as Fe deficiency and other forms of malnutrition compared with children living in food-secure households( Reference Cook, Frank and Berkowitz 8 Reference Ohemeng, Marquis and Lartey 10 ).

Food deprivation and poor dietary quality in childhood influence children’s growth, psycho-emotional, social and cognitive development, and overall health( Reference Perez-Escamilla and Vianna 11 , Reference Perez-Escamilla 12 ). According to the 2006 Brazilian Demographic and Health Survey (DHS), only 57 % of 12- to 18 month-old children ate fruits and vegetables and 25 % ate meat on a daily basis( Reference Brasil 3 ). In Brazil, 7 % of children suffer from chronic malnutrition (height-for-age Z-score (HAZ)<−2)( Reference Brasil 3 ); additionally, 1·6 % of deaths of children under 5 years old are caused by acute diarrhoea and 5·3 % by acute respiratory infection( Reference Brasil 13 ).

Although the influence of HFI on dietary intake has been investigated in the last few years in Brazil and elsewhere( Reference Morais, Dutra and Franceschini 14 Reference Rosas, Harley and Fernald 16 ), the association between HFI and common childhood infectious diseases needs more investigation( Reference Ohemeng, Marquis and Lartey 10 ). Thus, our study aimed to identify the independent association of HFI with the risk of vitamin A deficiency and anaemia, morbidities such as cough and fever, and hospitalizations for diarrhoea and pneumonia in children under 5 years old.

Methods

We analysed data from the 2006 Brazilian DHS, which is a nationally representative cross-sectional survey with complex probability sampling that covered rural and urban areas of each of the five Brazilian geographic regions. This survey was approved by the Research Ethics Committee of the Sexually Transmitted Diseases/AIDS Reference and Training Center of the São Paulo State Department of Health.

The process of sample selection for the 2006 Brazilian DHS has been described in detail elsewhere( Reference Brasil 3 ). Briefly, participating households were selected in two stages, with the first being the selection of census tracts (primary sampling units) and the second the selection of households within each tract (secondary sampling units). A total of 14 617 households were eligible for the survey. The target population of the survey was women of reproductive age (15–49 years) and their children living in the selected households. The survey interviewed 15 468 women and collected data on 5461 children up to 59 months of age.

Our study focused on children under 5 years old. In our study, households were excluded if the target children had died before the interview, did not live with their mother (because HFI is assessed within households and the available HFI data refer to the mother’s household), had missing HFI or anthropometric data, or had implausible anthropometric data (nutritional status Z-scores <–4 or >+4). Our analytical sample included 4064 children living in 3375 households.

In the 2006 Brazilian DHS, three finger-prick blood samples were collected from a sub-sample of children under 5 years (n 3499) on to filter paper. Of the 4064 children selected for the present study, 3425 and 3361 had retinol and Hb levels available, respectively. Hb and retinol concentrations were measured by the cyanmethaemoglobin method and HPLC, respectively, using the dried-drop technique( Reference Brasil 3 ). Children with Hb levels below 110 g/l were considered anaemic( 17 ). Vitamin A deficiency was defined as vitamin A levels below 0·70 μmol/l( 18 ). Child anthropometric status was assessed using the indices HAZ, weight-for-age Z-score (WAZ) and weight-for-height Z-score (WHZ). Children were considered stunted or wasted when HAZ or WAZ was <−2 and overweight-for-height when WHZ was >+2( 19 ). The DHS also investigated household conditions, such as source of water consumption, quality of sanitation, location (urban or rural), Brazil’s geographical region (North, Northeast, Southeast, South, Middle-West) and maternal characteristics (age and educational level).

Food security status was measured using the fourteen-item Brazilian Household Food Insecurity Measurement Scale (Escala Brasileira de Insegurança Alimentar, EBIA)( Reference Brasil 20 ). Based on the HFI additive score, obtained from the number of affirmative answers to EBIA questions, as recommended households were classified into: food secure (score=0), mildly food insecure (score=1 to 5), moderately food insecure (score=6 to 9) and severely food insecure (score=10 to 14).

Child morbidity data were reported by the children’s mothers to capture the occurrence of cough and fever in the last two weeks before the survey and hospitalizations for diarrhoea and pneumonia during the year prior to the survey.

Statistical analyses were performed with the statistical software package IBM SPSS Statistics Version 20·0 using the Complex Samples add-on module that computes estimates considering the complex sampling survey design. Chi-square bivariate and logistic regression analyses were conducted. Adjusted odds ratios and their corresponding 95 % confidence intervals were estimated by adjusting for child anthropometric status (except for the stunting, wasting and overweight models), source of water consumption in the household, quality of household sanitation, maternal education level, maternal age and household location (rural/urban). Analyses were also adjusted for Brazilian regions to take regional socio-economic and food insecurity contextual factors into account( Reference Gubert, Benício and Santos 21 ). Based on the pattern of bivariate associations, multivariate analyses were conducted using two HFI categories (severe HFI v. food secure/mild and moderate HFI).

Results

Of the children under 5 years old assessed in the present study, 6·7 % lived in households experiencing severe HFI, 18·8 % had vitamin A deficiency and 22·0 % had anaemia. With regard to common childhood morbidities, 36·4 % of the children were reported to have experienced cough and 23·7 % fever during the two weeks preceding the survey. Additionally, 2·6 % of them were hospitalized for diarrhoea or pneumonia in the year prior to the survey. Among the children suffering from malnutrition, 6·8 % were stunted and 6·9 % had a high WHZ, indicating overweight-for-height (Table 1).

Table 1 Characteristics of households and children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006

* Vitamin A deficiency defined as retinol<0·70 µmol/l (n 3425).

Anaemia defined as Hb <110 g/d (n 3361).

In the last two weeks prior to the survey.

§ In the last year prior to the survey.

|| Height-for-age Z-score<−2 (n 4064).

Weight-for-age Z-score<−2 (n 4064).

** Weight-for-height Z-score>+2 (n 4064).

The prevalence of cough was significantly higher in children living in severely food-insecure households (Table 2). A similar result was also found for hospitalization for diarrhoea. The difference in the prevalence of vitamin A and anaemia between the categories of food insecurity and security was quite small and not statistically significant. A dose–response association was found between level of HFI severity and stunting. By contrast, high WHZ was more prevalent among children experiencing severe food insecurity compared with their food-secure counterparts.

Table 2 Prevalence of morbidities and nutritional deficits, according to food security status, among 4064 children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006

* Using the χ 2 test.

Vitamin A deficiency defined as retinol<0·70 µmol/l (n 3425).

Anaemia defined as Hb <110 g/d (n 3361).

§ In the last two weeks prior to the survey.

|| In the last year prior to the survey.

Height-for-age Z-score<−2.

** Weight-for-age Z-score<−2.

†† Weight-for-height Z-score>+2.

The odds for cough, fever, and hospitalizations for diarrhoea and pneumonia were significantly higher in children living in severely food-insecure households (Table 3). For example, these children had 4·28 and 2·31 greater odds of being hospitalized for diarrhoea and pneumonia, respectively, compared with those living in food-secure households. After adjusting for confounders, strong and significant associations remained between severe HFI and the prevalence of cough (adjusted OR=1·67) and hospitalization for diarrhoea (adjusted OR=2·93).

Table 3 Unadjusted and adjusted odds ratios for morbidities and nutritional deficits, according to food security status, among 4064 children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006

* Adjusted by type of water for consumption, presence of adequate sanitation, maternal education level, maternal age, household location (urban or rural area), Brazilian geographic region and child’s nutritional status.

Adjusted by type of water for consumption, presence of adequate sanitation, maternal education level, maternal age, household location (urban or rural area) and Brazilian geographic region.

Discussion

Bivariate results of the present study show that, in Brazil, HFI is associated with stunting and the occurrence of common childhood illnesses. This is consistent with what has been reported in other countries( Reference Ohemeng, Marquis and Lartey 10 , Reference Ghattas 15 , Reference Garrett and Ruel 22 ). Our findings on HFI and malnutrition in the context of the nutrition transition are in agreement with previous studies focusing on both child undernutrition( Reference Monteiro, Schmidt and Costa 7 , Reference Hackett, Melgar-Quiñone and Álvarez 23 , Reference Saaka and Osman 24 ) and overweight( Reference Casey, Szeto and Lensing 25 Reference Franklin, Jones and Love 28 ). In our study, bivariate analyses showed that severely food-insecure children had a higher prevalence of stunting and overweight compared with food-secure children. This is indeed what would be expected in the context of the nutrition transition in an upper middle-income country( Reference Kac and Pérez-Escamilla 29 ). A study conducted in Colombia revealed that food-insecure children were three times more likely to be underweight, but not stunted, than food-secure children( Reference Isanaka, Mora-Plazas and Lopez-Arana 30 ). However, other studies have identified a dose–response relationship between HFI severity and the risk of child stunting( Reference Hackett, Melgar-Quiñone and Álvarez 23 , Reference Saaka and Osman 24 , Reference Shamah-Levy, Mundo-Rosas and Rivera-Dommarco 31 ). In our study we found a similar prevalence of overweight between children living in food-secure, mildly and moderately food-insecure households. The higher prevalence of overweight in severely food-insecure children (7·1 %) in our study may be partially explained by poor dietary quality resulting from the hyperenergetic diet to which these children are exposed. Individuals living in food-insecure households have a lower intake of animal protein( Reference Isanaka, Mora-Plazas and Lopez-Arana 30 ) and higher intakes of snack foods( Reference Kaiser, Melgar-Quinonez and Townsend 32 , Reference Perez-Escamilla, Segall-Correa and Kurdian Maranha 33 ) and high-energy-density foods, because of the cost of these products( Reference Drewnowski and Specter 34 , Reference Drewnowski, Monsivais and Maillot 35 ).

There have also been previous reports on the association between HFI and child overweight and obesity( Reference Sharkey, Nalty and Johnson 36 ); however, we could not confirm this association in our study. In agreement with previous studies( Reference Girard, Self and McAuliffe 37 , Reference Rodrigues and Roncada 38 ) our results did not confirm an association of HFI with anaemia and vitamin A deficiency. Micronutrient deficiencies, as well as excess weight, are related to poor dietary quality( Reference Cook, Frank and Berkowitz 8 , Reference Isanaka, Mora-Plazas and Lopez-Arana 30 ) and reflect the effect of HFI on children’s health in the context of poverty, low education, poor housing conditions and other vulnerabilities( Reference Skalicky, Meyers and Adams 9 , Reference Park, Kersey and Geppert 39 ). In the case of Brazil as well as in other countries deeply immersed in the nutrition transition, it is possible that all social classes experience similar prevalence of micronutrient deficiencies as a result of well-established food fortification and supplementation programmes.

Our bivariate analyses showed that severely food-insecure children were more likely to have experienced cough, fever, diarrhoea and pneumonia. This was expected, as higher morbidity rates have been observed previously among food-insecure children in other countries( Reference Ohemeng, Marquis and Lartey 10 , Reference Cook, Frank and Levenson 40 , Reference Cook, Frank and Casey 41 ). Specifically, children living in food-insecure households are more susceptible to diarrhoea, respiratory infection and chronic diseases( Reference Skalicky, Meyers and Adams 9 , Reference Hackett, Melgar-Quiñone and Álvarez 23 , Reference Nord 42 , Reference Reis 43 ). Child nutritional status has a close association with the occurrence of morbidities( Reference Addo, Marquis and Lartey 4 ), as well as with income conditions and household characteristics such as location in the rural area and quality of sanitation( Reference Black, Allen and Bhutta 44 ). These factors were also closely associated with diarrhoea in previous studies( Reference Black, Allen and Bhutta 44 ). However, our findings clearly indicate that severe food insecurity remained strongly associated with the occurrence of hospitalization for diarrhoea after controlling for these key confounders. This confirms the previous conclusion that experience-based HFI scales such as EBIA indeed capture health risk information that goes well above and beyond what traditional socio-economic and demographic variables do( Reference Pérez-Escamilla 45 ). In this context, it is worth emphasizing the importance of food insecurity (especially in its more severe form) as a strong risk factor for the occurrence of common childhood illnesses such as cough and diarrhoea among Brazilian children. Our study did not find any associations of morbidities, anthropometric status or micronutrient deficiencies with mild or moderate food insecurity. This was unexpected because dietary quality has been previously reported to be negatively affected by mild and moderate HFI( Reference Saha, Frongillo and Alam 6 , Reference Ghattas 15 , Reference Rosas, Harley and Fernald 16 ). This finding may be explained by strong improvements in the social determinants of health across social classes over the past decades( Reference Monteiro, Benicio and Konno 46 ).

One limitation of our study is that we were able to adjust only for the factors likely to be involved in the association between childhood morbidity and HFI that were available from the 2006 DHS. For example, we did not have data on specific health literacy of the mother or health-care access issues affecting the child. A second limitation is that all data, including HFI and morbidity information, were reported by the mothers. However, previous research shows that EBIA has strong internal and external validity( Reference Segall-Corrêa and Marin-León 47 , Reference Segall-Corrêa, Marin-León and Melgar-Quiñonez 48 ) and that caregivers’ report of child morbidity is reliable( Reference Rousham, Northrop-Clewes and Lunn 49 ). Further prospective studies are needed to better understand the actual role of HFI on the prevalence of childhood morbidity and to allow for a thorough investigation on the matter, including other socio-economic, health and food intake data.

Conclusion

In conclusion, severe HFI is associated with a higher risk of cough and hospitalization due to diarrhoea among Brazilian children under 5 years of age, illustrating the importance of linking better the food systems and the health-care systems in Brazil.

Acknowledgements

Financial support: This work was supported by funding from the National Council of Technological and Scientific Development (CNPq). CNPq had no role in the design, analysis or writing of this article. Conflict of interest: M.B.G., A.M.S., G.A.B. and R.P.-E. declare no conflicts of interest. Authorship: M.B.G. and R.P.-E. designed the research; M.B.G. and A.M.S. performed statistical analyses; R.P.-E. and G.A.B. supplied technical assistance and advice; M.B.G., A.M.S., G.A.B. and R.P.-E. wrote the paper and M.B.G. had primary responsibility for the final content. All authors read and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects/patients were approved by the Research Ethics Committee of the Sexually Transmitted Diseases/AIDS Reference and Training Center of the São Paulo State Department of Health.

References

1. United Nations World Food Programme (2015) Food security analysis. http://www.wfp.org/food-security (accessed September 2015).Google Scholar
2. Food and Agriculture Organization of the United Nations (2015) The State of Food Insecurity in the World. Meeting the 2015 International Hunger Targets: Taking Stock of Uneven Progress. Rome: FAO.Google Scholar
3. Brasil, Ministério da Saúde (2009) Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher – DHS 2006: Dimensões do Processo Reprodutivo e da Saúde da Criança. Brasília: MS.Google Scholar
4. Addo, AA, Marquis, GS, Lartey, AA et al. (2011) Food insecurity and perceived stress but not HIV infection are independently associated with lower energy intakes among lactating Ghanaian women. Matern Child Nutr 7, 8091.Google Scholar
5. Stuff, JE, Casey, PH, Szeto, KL et al. (2004) Household food insecurity is associated with adult health status. J Nutr 134, 23302335.CrossRefGoogle ScholarPubMed
6. Saha, KK, Frongillo, EA, Alam, DS et al. (2008) Household food security is associated with infant feeding practices in rural Bangladesh. J Nutr 138, 13831390.Google Scholar
7. Monteiro, F, Schmidt, ST, Costa, IB et al. (2014) Bolsa Família: insegurança alimentar e nutricional de crianças menores de cinco anos. Cienc Saude Colet 19, 13471358.Google Scholar
8. Cook, JT, Frank, DA, Berkowitz, C et al. (2004) Food insecurity is associated with adverse health outcomes among human infants and toddlers. J Nutr 134, 14321438.Google Scholar
9. Skalicky, A, Meyers, AF, Adams, WG et al. (2006) Child food insecurity and iron deficiency anaemia in low-income infants and toddlers in the United States. Matern Child Health J 10, 11771185.Google Scholar
10. Ohemeng, A, Marquis, GS & Lartey, A (2015) Household food insecurity is associated with respiratory infections among 6- to 11-month old infants in rural Ghana. Pediatr Infect Dis J 34, 821825.Google Scholar
11. Perez-Escamilla, R & Vianna, RPT (2012) Food insecurity and the behavioral and intellectual development of children: a review of the evidence. J Appl Res Child 3, 1.Google Scholar
12. Perez-Escamilla, R (2013) Food insecurity in children: impact on physical, psychoemotional and social development. In Modern Nutrition in Health and Disease, 11th ed., pp. 10061015 [CA Ross, B Caballero, RJ Cousins et al., editors]. Baltimore, MD: Lippincott Williams & Wilkins.Google Scholar
13. Brasil, Ministério da Saude (2012) Rede Intergerencial de Informações para a Saúde (RIPSA) Indicadores e Dados Básicos para a Saúde. http://tabnet.datasus.gov.br/cgi/idb2012/matriz.htm#mort (accessed May 2015).Google Scholar
14. Morais, DC, Dutra, LV, Franceschini, SCC et al. (2014) Food insecurity and anthropometric, dietary and social indicators in Brazilian studies: a systematic review. Cienc Saude Colet 19, 14751488.Google Scholar
15. Ghattas, H (2014) Food Security and Nutrition in the Context of the Nutrition Transition. Technical Paper. Beirut: American University of Beirut; available at http://www.fao.org/economic/ess/essfs/voices/en/ Google Scholar
16. Rosas, LG, Harley, K, Fernald, LC et al. (2009) Dietary associations of household food insecurity among children of Mexican descent: results of a binational study. J Am Diet Assoc 109, 20012009.Google Scholar
17. World Health Organization (2001) Iron Deficiency Anaemia: Assessment, Prevention, and Control: A Guide for Programme Managers. Geneva: WHO.Google Scholar
18. World Health Organization (1996) Indicators for Assessing Vitamin A Deficiency and Their Application in Monitoring and Evaluating Intervention Programmes. Geneva: WHO.Google Scholar
19. World Health Organization (2006) WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl 450, 7685.Google Scholar
20. Brasil, Instituto Brasileiro de Geografia e Estatística (2014) Pesquisa Nacional por Amostra de Domicílios – PNAD. Segurança Alimentar 2013. Rio de Janeiro: IBGE.Google Scholar
21. Gubert, MB, Benício, MHD, & Santos, LMP (2010) Estimativas de insegurança alimentar grave nos municípios brasileiros. Cad Saude Publica 26, 15951605.Google Scholar
22. Garrett, JL & Ruel, MT (2003) Stunted Child–Overweight Mother Pairs: An Emergency Policy Concern? FCND Discussion Paper no. 148. Washington, DC: International Food Policy Research Institute.Google Scholar
23. Hackett, M, Melgar-Quiñone, H & Álvarez, MC (2009) Household food insecurity associated with stunting and underweight among preschool children in Antioquia, Colombia. Rev Panam Salud Publica 25, 506510.Google Scholar
24. Saaka, M & Osman, SM (2013) Does household food insecurity affect the nutritional status of preschool children aged 6–36 months? Int J Popul Res 2013, 304169.Google Scholar
25. Casey, PH, Szeto, K, Lensing, S et al. (2001) Children in food-insufficient, low-income families: prevalence, health, and nutrition status. Arch Pediatr Adolesc Med 155, 508514.Google Scholar
26. Casey, PH, Simpson, PM, Gossett, JM et al. (2006) The association of child and household food insecurity with childhood overweight status. Pediatrics 118, e1406e1413.Google Scholar
27. Eisenmann, JC, Gundersen, C, Lohman, BJ et al. (2011) Is food insecurity related to overweight and obesity in children and adolescents? A summary of studies, 1995–2009. Obes Rev 12, 7383.CrossRefGoogle ScholarPubMed
28. Franklin, B, Jones, A, Love, D et al. (2012) Exploring mediators of food insecurity and obesity: a review of recent literature. J Community Health 37, 253264.Google Scholar
29. Kac, G & Pérez-Escamilla, R (2013) Nutrition transition and obesity prevention through the life-course. Int J Obes Suppl 3, S6S8.Google Scholar
30. Isanaka, S, Mora-Plazas, M, Lopez-Arana, S et al. (2007) Food insecurity is highly prevalent and predicts underweight but not overweight in adults and school children from Bogotá, Colombia. J Nutr 137, 27472755.Google Scholar
31. Shamah-Levy, T, Mundo-Rosas, V & Rivera-Dommarco, JA (2014) Magnitude of food insecurity in Mexico: its relationship with nutritional status and socioeconomic factors. Salud Publica Mex 56, Suppl. 1, S79S85.Google Scholar
32. Kaiser, LL, Melgar-Quinonez, H, Townsend, MS et al. (2003) Food insecurity and food supplies in Latino households with young children. J Nutr Educ Behav 35, 148153.Google Scholar
33. Perez-Escamilla, R, Segall-Correa, AM, Kurdian Maranha, L et al. (2004) An adapted version of the US Department of Agriculture food insecurity module is a valid tool for assessing household food insecurity in Campinas, Brazil. J Nutr 134, 19231928.Google Scholar
34. Drewnowski, A & Specter, SE (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79, 616.Google Scholar
35. Drewnowski, A, Monsivais, P, Maillot, M et al. (2007) Low-energy-density diets are associated with higher diet quality and higher diet costs in French adults. J Am Diet Assoc 107, 10281032.Google Scholar
36. Sharkey, JR, Nalty, C, Johnson, CM et al. (2012) Children’s very low food security is associated with increased dietary intakes in energy, fat, and added sugar among Mexican-origin children (6–11 y) in Texas border Colonias. BMC Pediatrics 12, 16.Google Scholar
37. Girard, AW, Self, JL, McAuliffe, C et al. (2012) The effects of household food production strategies on the health and nutrition outcomes of women and young children: a systematic review. Paediatr Perinat Epidemiol 26, Suppl. 1, 205222.Google Scholar
38. Rodrigues, LPF & Roncada, MJ (2010) Nutrition education in the official programs for preventing vitamin A deficiency in Brazil. Rev Nutr 23, 297305.Google Scholar
39. Park, K, Kersey, M, Geppert, J et al. (2009) Household food insecurity is a risk factor for iron-deficiency anaemia in a multi-ethnic, low-income sample of infants and toddlers. Public Health Nutr 12, 21202128.Google Scholar
40. Cook, JT, Frank, DA, Levenson, SM et al. (2006) Child food insecurity increases risks posed by household food insecurity to young children’s health. J Nutr 136, 10731076.Google Scholar
41. Cook, JT, Frank, DA, Casey, PH et al. (2008) A brief indicator of household energy security: associations with food security, child health, and child development in US infants and toddlers. Pediatrics 122, 867875.CrossRefGoogle ScholarPubMed
42. Nord, M (2009) Food Insecurity in Households with Children: Prevalence, Severity, and Household Characteristics. Economic Information Bulletin no. EIB-56. Washington, DC: US Department of Agriculture, Economic Research Service.Google Scholar
43. Reis, M (2012) Food insecurity and the relationship between household income and children’s health and nutrition in Brazil. Health Econ 21, 405427.Google Scholar
44. Black, RE, Allen, LH, Bhutta, ZA et al. (2008) Maternal and Child Nutrition 1: Maternal and child undernutrition: global and regional exposures and health consequences. Lancet 371, 243260.Google Scholar
45. Pérez-Escamilla, R (2012) Can experience-based household food security scales help improve food security governance? Glob Food Sec 1, 120125.Google Scholar
46. Monteiro, CA, Benicio, AMH, Konno, SC et al. (2009) Causes for the decline in child undernutrition in Brazil, 1996–2007. Rev Saude Publica 43, 3543.Google Scholar
47. Segall-Corrêa, AM & Marin-León, L (2009) A Segurança Alimentar no Brasil: Proposição e Usos da Escala Brasileira de Medida da Insegurança Alimentar (EBIA) de 2003 a 2009. Seg Aliment Nutr Campinas 16, issue 2, 119.Google Scholar
48. Segall-Corrêa, AM, Marin-León, L, Melgar-Quiñonez, H et al. (2014) Refinement of the Brazilian Household Food Insecurity Measurement Scale: recommendation for a 14-item EBIA. Rev Nutr 27, 241251.Google Scholar
49. Rousham, EK, Northrop-Clewes, CA & Lunn, PG (1998) Maternal reports of child illness and the biochemical status of the child: the use of morbidity interviews in rural Bangladesh. Br J Nutr 80, 451456.Google Scholar
Figure 0

Table 1 Characteristics of households and children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006

Figure 1

Table 2 Prevalence of morbidities and nutritional deficits, according to food security status, among 4064 children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006

Figure 2

Table 3 Unadjusted and adjusted odds ratios for morbidities and nutritional deficits, according to food security status, among 4064 children under 5 years of age whose 15–49-year-old mothers were interviewed in the 2006 Brazilian Demographic and Health Survey. Brazil, 2006