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Factors associated with dietary patterns among low-income adults

  • Diana Barbosa Cunha (a1), Rosely Sichieri (a2), Renan Moritz Varnier Rodrigues de Almeida (a3) and Rosangela Alves Pereira (a1)

Abstract

Objective

To describe the association of socio-economic, demographic and lifestyle characteristics with three eating patterns identified among low-income adults living in the Rio de Janeiro metropolitan area, Brazil.

Design

Data were obtained in a population-based cross-sectional study. The analysed patterns were: (i) ‘Mixed’, in which diverse foods had similar factor loadings; (ii) ‘Western’, which included items with high energy density; and (iii) ‘Traditional’, which relied in rice and beans, traditional staple foods in Brazil. Hierarchical logistic analysis was performed to estimate the association between the independent variables and each one of the dietary patterns. The variables that presented statistical significance <0·20 in the univariate analysis (χ2 test) were included in the multivariate models.

Setting

Duque de Caxias, a low-income area in the Rio de Janeiro metropolitan region, Brazil.

Subjects

Adults (n 1009) aged 20 to 65 years (339 men and 670 women).

Results

The ‘Mixed’ pattern was positively associated with smoking (OR = 1·58, 95 % CI 1·00, 2·48 for current smoking v. those who never smoked). The ‘Western’ pattern was positively associated with family income (OR = 3·00, 95 % CI 1·81, 4·97 for those with monthly per capita family income ≥1·0 v. <0·5 times the official Brazilian minimum wage) and inversely associated with family food insecurity (OR = 0·55, 95 % CI 0·36, 0·84). The ‘Traditional’ pattern was associated with family food insecurity (OR = 1·79, 95 % CI 1·27, 2·51).

Conclusions

The results support previous findings relating improvement in economic conditions to reduced adherence to the traditional Brazilian food consumption pattern based on the combination of rice and beans.

Copyright

Corresponding author

*Corresponding author: Email roapereira@ufrj.br

References

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1. Sieri, S, Krogh, V, Pala, V et al. (2004) Dietary patterns and risk of breast cancer in the ORDET cohort. Cancer Epidemiol Biomarkers Prev 13, 567572.
2. Jacques, PF & Tucker, KL (2001) Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 73, 12.
3. Alves, AL, Olinto, MT, Costa, JS et al. (2006) Dietary patterns of adult women living in an urban area of southern Brazil. Rev Saude Publica 40, 865873.
4. Fung, TT, Rimm, EB, Spiegelman, D et al. (2001) Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 73, 6167.
5. Perozzo, G, Olinto, MT, Dias-da-Costa, JS et al. (2008) Association between dietary patterns and body mass index and waist circumference in women living in southern Brazil. Cad Saude Publica 24, 24272439.
6. Sichieri, R, Castro, JF & Moura, AS (2003) Factors associated with dietary patterns in the urban Brazilian population. Cad Saude Publica 19, Suppl. 1, S47S53.
7. Cai, H, Zheng, W, Xiang, YB et al. (2007) Dietary patterns and their correlates among middle-aged and elderly Chinese men: a report from the Shanghai Men's Health Study. Br J Nutr 98, 10061013.
8. Correa Leite, ML, Nicolosi, A, Cristina, S et al. (2003) Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (I). A cluster analysis of food consumption. Eur J Clin Nutr 57, 15141521.
9. Wirfalt, E, Hedblad, B, Gullberg, B et al. (2001) Food patterns and components of the metabolic syndrome in men and women: a cross-sectional study within the Malmo Diet and Cancer cohort. Am J Epidemiol 154, 11501159.
10. Cunha, DB, de Almeida, RM, Sichieri, R et al. (2010) Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. Br J Nutr 104, 908913.
11. Neumann, AICP, Martins, IS, Marcopito, LF et al. (2007) Padrões alimentares associados a fatores de risco para doenças cardiovasculares entre residentes de um município brasileiro. Rev Panam Salud Publica 22, 329339.
12. Marchioni, DM, Latorre Mdo, R, Eluf-Neto, J et al. (2005) Identification of dietary patterns using factor analysis in an epidemiological study in Sao Paulo. Sao Paulo Med J 123, 124127.
13. Sichieri, R (2002) Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obes Res 10, 4248.
14. Ministério da Saúde Brasil (2006) Guia Alimentar para a População Brasileira: Promovendo a Alimentação Saudável. Brasília: Ministério da Saúde.
15. Brazilian Institute of Geography and Statistics (2000) Demographic census. Rio de Janeiro, 2000. http://ibge.gov.br/home/estatistica/populacao/censo2000/default_familias.shtm (accessed April 2008).
16. Sichieri, R & Everhart, J (1998) Validity of a Brazilian food frequency questionnaire against dietary recalls and estimated energy intake. Nutr Res 18, 16491659.
17. Cattell, R (1966) The scree test for the number of factors. Multivariate Behav Res 1, 245276.
18. Pryer, JA, Nichols, R, Elliott, P et al. (2001) Dietary patterns among a national random sample of British adults. J Epidemiol Community Health 55, 2937.
19. McNaughton, SA, Mishra, GD, Stephen, AM et al. (2007) Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure, and red cell folate. J Nutr 137, 99105.
20. Mishra, GD, McNaughton, SA, Bramwell, GD et al. (2006) Longitudinal changes in dietary patterns during adult life. Br J Nutr 96, 735744.
21. Lenz, A, Olinto, MT, Dias-da-Costa, JS et al. (2009) Socioeconomic, demographic and lifestyle factors associated with dietary patterns of women living in southern Brazil. Cad Saude Publica 25, 12971306.
22. Mullie, P, Clarys, P, Hulens, M et al. (2010) Dietary patterns and socioeconomic position. Eur J Clin Nutr 64, 231238.
23. Kesse-Guyot, E, Bertrais, S, Peneau, S et al. (2009) Dietary patterns and their sociodemographic and behavioural correlates in French middle-aged adults from the SU.VI.MAX cohort. Eur J Clin Nutr 63, 521528.
24. Pérez-Escamilla, R, Segall-Corrêa, 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.

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