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Socioeconomic differences in diet composition of the adult population in southern Brazil: a population-based study

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Abstract

Aim

To describe the intake of macro- and micronutrients, verify its adequacy, and analyze their distribution by the socioeconomic and demographic profile of adults.

Subject and methods

Longitudinal population-based study with a sample of 1222 people aged 22–63 years from Florianópolis, Southern Brazil. The dietary intake data were collected with a 24-h recall in the total sample, plus a second recall applied on a sub-sample of participants with subsequent adjustment of regular consumption. Diet composition and adequacy of intake were compared between the different educational groups and stratified by sex.

Results

The mean energy consumption was 1851 Kcal [standard error (SE) = 15.0 Kcal] and 2259 Kcal (SE = 27.8 Kcal) in females and males, respectively (p-value <0.001). With increasing education, women showed an increasing trend in energy consumption, carbohydrates, proteins, lipids, saturated, polyunsaturated and monounsaturated fat, cholesterol, and fiber. In men, the same differences were found only in saturated fat and cholesterol (p-value <0.05 for all). Analyzing the adequate consumption of nutrients, differences were found regarding saturated fat and cholesterol in women and carbohydrates, saturated and polyunsaturated fat in men. The prevalence of inadequacy was up to 47% comparing the different educational groups.

Conclusion

A lower percentage of adequacies in food consumption was found in both sexes for those with more years of schooling. Public policy should also target the group with higher education.

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References

  • Araujo MC, Verly Junior E, Junger WL, Sichieri R (2014) Independent associations of income and education with nutrient intakes in Brazilian adults: 2008-2009 National Dietary Survey. Public Health Nutr 17:2740–2752

    Article  PubMed  Google Scholar 

  • Boing AC, Peres KG, Boing AF, Hallal PC, Silva NN, Peres MA (2014) EpiFloripa health survey: the methodological and operational aspects behind the scenes. Rev Bras Epidemiol 17:146–162

    Article  Google Scholar 

  • Brasil – Instituto Brasileiro de Geografia e Estatística (2015) Conceitos http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/indicadoresminimos/conceitos.shtm. Accessed November 06, 2015

  • Brasil-Ministério do Planejamento, Orçamento e Gestão (2010) Pesquisa de Orçamentos Familiares 2008–2009: Aquisição alimentar domiciliar per capita. Instituto Brasileiro de Geografia e Estatística-IBGE, Rio de Janeiro

    Google Scholar 

  • Costa AF, Yokoo EM, Antonio dos Anjos L, Wahrlich V, Olinto MTA, Henn LR, Waissmann W (2013) Seasonal variation of food intake of adults from Niteroi, Rio de Janeiro, Brazil. Rev Bras Epidemiol 16:513–524

    Article  PubMed  Google Scholar 

  • Darmon N, Drewnowski A (2008) Does social class predict diet quality? Am J Clin Nutr 87:1107–1117

    CAS  PubMed  Google Scholar 

  • Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith SM (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc 106:1640–1650

    Article  PubMed  Google Scholar 

  • Eicher-Miller HA, Fulgoni VL, Keast DR (2015) Energy and nutrient intakes from processed foods differ by sex, income status, and race/ethnicity of US adults. J Acad Nutr Diet 115:907–918 e6

    Article  PubMed  Google Scholar 

  • Ferreira VA, Silva AE, Rodrigues CA, Nunes NLA, Vigato TC, Magalhães R (2010) Inequality, poverty and obesity. Cien Saude Colet 15:1423–1432

    Article  PubMed  Google Scholar 

  • Fukuda Y, Hiyoshi A (2012) High quality nutrient intake is associated with higher household expenditures by Japanese adults. Biosci Trends 6:176–182

    Article  CAS  PubMed  Google Scholar 

  • Gast J, Madanat H, Nielson AC (2012) Are men more intuitive when it comes to eating and physical activity? Am J Mens Health 6:164–171

    Article  PubMed  Google Scholar 

  • Giskes K, Avendano M, Brug J, Kunst AE (2010) A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults. Obes Rev 11:413–429

    Article  CAS  PubMed  Google Scholar 

  • Institute of Medicine (2005) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients). Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate, http://publications.gc.ca/site/eng/278308/publication.html. Accessed November 06, 2015

  • Kearney J (2010) Food consumption trends and drivers. Philos Trans R Soc Lond Ser B Biol Sci 365:2793–2807

    Article  Google Scholar 

  • Lallukka T, Laaksonen M, Rahkonen O, Roos E, Lahelma E (2007) Multiple socio-economic circumstances and healthy food habits. Eur J Clin Nutr 61:701–710

    Article  CAS  PubMed  Google Scholar 

  • Leblanc V, Bégin C, Corneau L, Dodin S, Lemieux S (2015) Gender differences in dietary intakes: what is the contribution of motivational variables? J Hum Nutr Diet 28:37–46

    Article  CAS  PubMed  Google Scholar 

  • McCartney DM, Younger KM, Walsh J, O’Neill M, Sheridan C, Kearney J (2013) Socio-economic differences in food group and nutrient intakes among young women in Ireland. Br J Nutr 110:2084–2097

    Article  CAS  PubMed  Google Scholar 

  • Mente A, de Koning L, Shannon HS, Anand SS (2009) A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Arch Intern Med 169:659–669

    Article  CAS  PubMed  Google Scholar 

  • Mirnalini K Jr, Zalilah MS, Safiah MY, Tahir A, Siti Haslinda MD, Siti Rohana D, Khairul Zarina MY, Mohd Hasyami S, Normah H (2008) Energy and nutrient intakes: findings from the Malaysian adult nutrition survey (MANS). Malays J Nutr 14:1–24

    PubMed  Google Scholar 

  • Mishra GD, McNaughton SA, Ball K, Brown WJ, Giles GG, Dobson AJ (2010) Major dietary patterns of young and middle aged women: results from a prospective Australian cohort study. Eur J Clin Nutr 64:1125–1133

    Article  CAS  PubMed  Google Scholar 

  • Molina MC, Bettiol H, Barbieri MA, Silva AAM, Conceição SIO, Santos JE (2007) Food consumption by young adults living in Ribeirao Preto, SP, 2002/2004. Braz J Med Biol Res 40:1257–1266

    Article  CAS  PubMed  Google Scholar 

  • Morimoto JM, Marchioni DM, Cesar CL, Fisberg RM (2012) Statistical innovations improve prevalence estimates of nutrient risk populations: applications in Sao Paulo, Brazil. J Acad Nutr Diet 112:1614–1618

    Article  PubMed  Google Scholar 

  • Moshfegh A, Goldman J, Cleveland L (2005) What we eat in America, NHANES 2001–2002: usual nutrient intakes from food compared to dietary reference intakes. US Department of Agriculture, Agricultural Research Service, Maryland

    Google Scholar 

  • Mullie P, Clarys P, Hulens M, Vansant G (2010) Dietary patterns and socioeconomic position. Eur J Clin Nutr 64:231–238

    Article  CAS  PubMed  Google Scholar 

  • NEPA 2015 Tabela de Composição de Alimentos. TACO-UNICAMP (2004). Available in: < http://www.unicamp.br/nepa/taco/ >. Accessed November 05

  • Pinheiro AB (2004) Tabela para avaliação de consumo alimentar em medidas caseiras, 5th edn. Atheneu, São Paulo

    Google Scholar 

  • Programa das Nações Unidas para o Desenvolvimento (PNUD) 2013 Atlas de desenvolvimento humano no Brasil. Brasília: PNUD. Available at <http://www.pnud.org.br/atlas/ranking/ranking-idhm-municipios-2010.aspx>

  • Rombaldi AJ, da Silva MC, Neutzling MB, Azevedo MR, Hallal PC (2014) Factors associated with the consumption of high-fat foods among adults in a southern Brazilian city. Ciênc saúde coletiva 19:1513–1521

    Article  Google Scholar 

  • Serra Majem L, Ribas Barba L, Salvador Castell G, Roman Viñas B, Castell Abat C, Cabezas Peña C, et al. (2007) Trends in the nutritional status of the Spanish population: results from the Catalan nutrition monitoring system (1992-2003). Rev Esp Salud Publica 81(5):559–570

  • Silva DA, Peres KG, Boing AF, Gonzalez-Chica DA, Peres MA (2013) Clustering of risk behaviors for chronic noncommunicable diseases: a population-based study in southern Brazil. Prev Med 56(1):20–24

    Article  PubMed  Google Scholar 

  • Sousa TF, Nahas MV, Silva DAS, Duca GFD, Peres MA (2011) Factors associated with central obesity in adults from Florianopolis, Santa Catarina: a population based-study. Rev Bras Epidemiol 14:296–309

    Article  PubMed  Google Scholar 

  • Tarasuk V, Fitzpatrick S, Ward H (2010) Nutrition inequities in Canada. Appl Physiol Nutr Metab 35:172–179

    Article  PubMed  Google Scholar 

  • Teixeira MG, Mill JG, Pereira AC, Molina MCB (2016) Dietary intake of antioxidant in ELSA-Brasil population: baseline results. Rev Bras Epidemiol 19:149–159

    Article  PubMed  Google Scholar 

  • Westenhoefer J (2005) Age and gender dependent profile of food choice. Forum Nutr 57:44–51

    Article  Google Scholar 

  • World Health Organization (1995) Physical status: the use and interpretation of anthropometry. Geneva: World Health Organization. (Technical Report Series, 854)

  • World Health Organization (2003) Technical Report Series. Diet, nutrition and the prevention of chronic diseases: report of a joint WHO/FAO expert consultation. WHO technical report series; 916 Geneva

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Authors

Corresponding author

Correspondence to Katia Jakovljevic Pudla Wagner.

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Conflict of interest

The authors declare that they have no conflict of interests.

Ethical approval

In both waves, the project was approved by the Ethics Committee on Human Research of the Federal University of Santa Catarina (351/08 and 1772/11), and all the respondents signed an informed consent form.

Funding

This work was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) nos. 485327/2007–4 and 477,061/20109.

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Wagner, K.J.P., Ozcariz, S., Cembranel, F. et al. Socioeconomic differences in diet composition of the adult population in southern Brazil: a population-based study. J Public Health 25, 635–644 (2017). https://doi.org/10.1007/s10389-017-0818-z

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  • DOI: https://doi.org/10.1007/s10389-017-0818-z

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