Validating the usage of household food acquisition surveys to assess the consumption of ultra-processed foods: Evidence from Brazil

Food Policy

Volumn 72, Issue , 2017, Pages 112-120

  Louzada, Maria Laura da Costa ^a   Levy, Renata Bertazzi ^a   Martins, Ana Paula Bortoletto ^a   Claro, Rafael Moreira ^a,b   Steele, Euridice Martinez ^a   Verly, Eliseu ^c   Cafiero, Carlo ^d   Monteiro, Carlos Augusto ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

Author keywords

Food consumption; Indicators; Surveys; Ultra processed food

Indexed keywords

ACCURACY ASSESSMENT; CONSUMPTION BEHAVIOR; DATA ACQUISITION; FOOD CONSUMPTION; FOOD INTAKE; FOOD PROCESSING; HOUSEHOLD EXPENDITURE; HOUSEHOLD SURVEY; LOW INCOME POPULATION;

BRAZIL;

EID: 85028735373     PISSN: 03069192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodpol.2017.08.017     Document Type: Article

References (59)

1. Albar, S.A., Alwan, N.A., Evans, C.E., Cade, J.E., Is there an association between food portion size and BMI among British adolescents?. Br. J. Nutr. 112 (2014), 1–11.
2. Barcelos, G.T., Rauber, F., Vitolo, M.R., Produtos processados e ultraprocessados e ingestão de nutrientes em crianças. Rev. Ciência Saúde 7 (2014), 155–161.
3. Becker, W., Comparability of household and individual food consumption data – evidence from Sweden. Public Health Nutr. 4 (2001), 1177–1182.
4. Bezerra, I.N., Souza Ade, M., Pereira, R.A., Sichieri, R., Consumption of foods away from home in Brazil. Rev. Saude Publica 47:Suppl 1 (2013), 200s–211s.
5. Bielemann, R.M., Santos Motta, J.V., Minten, G.C., Horta, B.L., Gigante, D.P., Consumption of ultra-processed foods and their impact on the diet of young adults. Rev. Saude Publica, 49, 2015, 28.
6. Borlizzi, A., Cafiero, C., 2014. National food security assessment through the analysis of household surveys food consumption data: the case of Brazil's Pesquisa de Orçamento Familiares 2008/09, Mimeo.
7. Canella, D.S., Levy, R.B., Martins, A.P., Claro, R.M., Moubarac, J.C., Baraldi, L.G., Cannon, G., Monteiro, C.A., Ultra-processed food products and obesity in Brazilian households (2008–2009). PLoS ONE, 9, 2014, e92752.
8. Chassaing, B., Koren, O., Goodrich, J.K., Poole, A.C., Srinivasan, S., Ley, R.E., Gewirtz, A.T., Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome. Nature 519 (2015), 92–96.
9. Claro, R.M., Baraldi, L.G., Martins, A.P., Bandoni, D.H., Levy, R.B., Trends in spending on eating away from home in Brazil, 2002–2003 to 2008–2009. Cad. Saude Publica 30 (2014), 1418–1426.
10. Claro, R.M., Jaime, P.C., Lock, K., Fisberg, R.M., Monteiro, C.A., Discrepancies among ecological, household, and individual data on fruits and vegetables consumption in Brazil. Cad. Saude Publica 26 (2010), 2168–2176.
11. Crovetto, M.M., Uauy, R., Martins, A.P., Moubarac, J.C., Monteiro, C., Household availability of ready-to-consume food and drink products in Chile: impact on nutritional quality of the diet. Rev. Med. Chil. 142 (2014), 850–858.
12. DiMeglio, D.P., Mattes, R.D., Liquid versus solid carbohydrate: effects on food intake and body weight. Int. J. Obes. Relat. Metab. Disord. 24 (2000), 794–800.
13. Duffey, K.J., Popkin, B.M., Energy density, portion size, and eating occasions: contributions to increased energy intake in the United States, 1977–2006. PLoS Med, 8, 2011, e1001050.
14. Food and Agriculture Organization of the United Nations, Deriving Food Security Information from National Household Budget Surveys. 2008, FAO, Rome.
15. Food and Agriculture Organization of the United Nations, Guidelines on the Collection of Information on Food Processing through Food Consumption Surveys. 2015, FAO, Rome.
16. Hu, F.B., Malik, V.S., Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol. Behav. 100 (2010), 47–54.
17. Instituto Brasileiro de Geografia e Estatística, 1996. Tabela de composição de alimentos, fourth ed. Rio de Janeiro: IBGE.
18. Instituto Brasileiro de Geografia e Estatística, 2010a. Avaliação nutricional da disponibilidade de alimentos no Brasil. Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro: IBGE.
19. Instituto Brasileiro de Geografia e Estatística, 2010b. Pesquisa de Orçamentos Familiares 2008–2009. Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro: IBGE.
20. Instituto Brasileiro de Geografia e Estatística, 2011a. Análise do consumo alimentar pessoal no Brasil. Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro: IBGE.
21. Instituto Brasileiro de Geografia e Estatística, 2011b. Tabela de Medidas Referidas para os Alimentos Consumidos no Brasil. Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro: IBGE.
22. Instituto Brasileiro de Geografia e Estatística, 2011c. Tabelas de Composição Nutricional dos Alimentos Consumidos no Brasil. Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro: IBGE.
23. Lerner, A., Matthias, T., Changes in intestinal tight junction permeability associated with industrial food additives explain the rising incidence of autoimmune disease. Autoimmun. Rev. 14 (2015), 479–489.
24. Liao, J.J., Lewis, J.W., A note on concordance correlation coefficient. PDA J. Pharm. Sci. Technol. 54 (2000), 23–26.
25. Lin, L.I., A concordance correlation coefficient to evaluate reproducibility. Biometrics 45 (1989), 255–268.
26. Louzada, M.L., Baraldi, L.G., Steele, E.M., Martins, A.P., Canella, D.S., Moubarac, J.C., Levy, R.B., Cannon, G., Afshin, A., et al. Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev. Med. 81 (2015), 9–15.
27. Louzada, M.L., Martins, A.P., Canella, D., Baraldi, L., Levy, R., Claro, R., Moubarac, J.C., Cannon, G., Monteiro, C.A., Ultra-processed foods and the nutritional dietary profile in Brazil. Rev. Saude Publica 49 (2015), 1–11.
28. Louzada, M.L., Martins, A.P., Canella, D.S., Baraldi, L.G., Levy, R.B., Claro, R.M., Moubarac, J.C., Cannon, G., Monteiro, C.A., Impact of ultra-processed foods on micronutrient content in the Brazilian diet. Rev. Saude Publica 49 (2015), 1–8.
29. Ludwig, D.S., Technology, diet, and the burden of chronic disease. JAMA 305 (2011), 1352–1353.
30. Luiten, C.M., Steenhuis, I.H., Eyles, H., Ni Mhurchu, C., Waterlander, W.E., Ultra-processed foods have the worst nutrient profile, yet they are the most available packaged products in a sample of New Zealand supermarkets. Public Health Nutr. 29 (2015), 1–9.
31. Mallarino, C., Gomez, L.F., Gonzalez-Zapata, L., Cadena, Y., Parra, D.C., Advertising of ultra-processed foods and beverages: children as a vulnerable population. Rev. Saude Publica 47 (2013), 1006–1010.
32. Ministry of Health of Brazil, 2014. Dietary Guidelines for the Brazilian Population. Ministério da Saúde, Brasília.
33. Monteiro, C.A., Cannon, G., Moubarac, J.C., Martins, A.P., Martins, C.A., Garzillo, J., Canella, D.S., Baraldi, L.G., Barciotte, M., et al. Dietary guidelines to nourish humanity and the planet in the twenty-first century. A blueprint from Brazil. Public Health Nutr. 24 (2015), 1–12.
34. Monteiro, C.A., Levy, R.B., Claro, R.M., Castro, I.R., Cannon, G., A new classification of foods based on the extent and purpose of their processing. Cad. Saude Publica 26 (2010), 2039–2049.
35. Monteiro, C.A., Levy, R.B., Claro, R.M., de Castro, I.R., Cannon, G., Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr. 14 (2011), 5–13.
36. Monteiro, C.A., Cannon, G., Levy, R., Moubarac, J-C, Jaime, P., Martins, A.P., et al., 2016. NOVA. The star shines bright. World Nutr. 7, 28–38.
37. Moreira, P.V., Baraldi, L.G., Moubarac, J.C., Monteiro, C.A., Newton, A., Capewell, S., O'Flaherty, M., Comparing different policy scenarios to reduce the consumption of ultra-processed foods in UK: impact on cardiovascular disease mortality using a modelling approach. PLoS ONE, 10, 2015, e0118353.
38. Moubarac, J.C., Martins, A.P., Claro, R.M., Levy, R.B., Cannon, G., Monteiro, C.A., Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada. Public Health Nutr. 16 (2013), 2240–2248.
39. Mozaffarian, D., Hao, T., Rimm, E.B., Willett, W.C., Hu, F.B., Changes in diet and lifestyle and long-term weight gain in women and men. N. Engl. J. Med. 364 (2011), 2392–2404.
40. Naska, A., Vasdekis, V.G., Trichopoulou, A., A preliminary assessment of the use of household budget survey data for the prediction of individual food consumption. Public Health Nutr. 4 (2001), 1159–1165.
41. Universidade Estadual de Campinas. Núcleo de Estudos e Pesquisas em Alimentacão, 2004. Tabela Brasileira de Composição de Alimentos – TACO. UNICAMP, Campinas.
42. Nielsen, S.J., Popkin, B.M., Patterns and trends in food portion sizes, 1977–1998. JAMA 289 (2003), 450–453.
43. Ogden, J., Coop, N., Cousins, C., Crump, R., Field, L., Hughes, S., Woodger, N., Distraction, the desire to eat and food intake. Towards an expanded model of mindless eating. Appetite 62 (2013), 119–126.
44. Panamerican Health Organization, 2015. Ultra-processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications. PAHO, Washington, D.C.
45. Pereira, M.A., Kartashov, A.I., Ebbeling, C.B., Van Horn, L., Slattery, M.L., Jacobs, D.R. Jr., Ludwig, D.S., Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365 (2005), 36–42.
46. Piernas, C., Popkin, B.M., Food portion patterns and trends among U.S. children and the relationship to total eating occasion size, 1977–2006. J. Nutr. 141 (2011), 1159–1164.
47. Poti, J.M., Mendez, M.A., Ng, S.W., Popkin, B., Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?. Am. J. Clin. Nutr. 101 (2015), 1251–1262.
48. Rauber, F., Campagnolo, P.D., Hoffman, D.J., Vitolo, M.R., Consumption of ultra-processed food products and its effects on children's lipid profiles: a longitudinal study. Nutr. Metab. Cardiovasc. Dis. 25 (2015), 116–122.
49. Rolls, B.J., The relationship between dietary energy density and energy intake. Physiol. Behav. 97 (2009), 609–615.
50. Sekula, W., Nelson, M., Figurska, K., Oltarzewski, M., Weisell, R., Szponar, L., Comparison between household budget survey and 24-hour recall data in a nationally representative sample of Polish households. Public Health Nutr. 8 (2005), 430–439.
51. Singh, G.M., Micha, R., Khatibzadeh, S., Lim, S., Ezzati, M., Mozaffarian, D., Estimated global, regional, and national disease burdens related to sugar-sweetened beverage consumption in 2010. Circulation 132 (2015), 639–666.
52. Smith, L.C., Dupriez, O., Troubat, N., 2014. Assessment of the Reliability and Relevance of the Food Data Collected in National Household Consumption and Expenditure Surveys. IHSN Working Paper No. 008.
53. Steenhuis, I.H., Vermeer, W.M., Portion size: review and framework for interventions. Int. J. Behav. Nutr. Phys. Act 21 (2009), 6–58.
54. Suez, J., Korem, T., Zeevi, D., Zilberman-Schapira, G., Thaiss, C.A., Maza, O., Israeli, D., Zmora, N., Gilad, S., et al. Artificial sweeteners induce glucose intolerance by altering the gut microbiota. Nature 514 (2014), 181–186.
55. Tavares, L.F., Fonseca, S.C., Garcia Rosa, M.L., Yokoo, E.M., Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr. 15 (2012), 82–87.
56. Uribarri, J., Stirban, A., Sander, D., Cai, W., Negrean, M., Buenting, C.E., Koschinsky, T., Vlassara, H., Single oral challenge by advanced glycation end products acutely impairs endothelial function in diabetic and nondiabetic subjects. Diabetes Care 30 (2007), 2579–2582.
57. United States Departament of Agriculture, 2010. USDA National Nutrient Database for Standard Reference, 23 ed. U.S. Department of Agriculture, USDA, Washington, D.C.
58. Vandevijvere, S., Monteiro, C., Krebs-Smith, S.M., Lee, A., Swinburn, B., Kelly, B., Neal, B., Snowdon, W., Sacks, G., Monitoring and benchmarking population diet quality globally: a step-wise approach. Obes. Rev. 14:Suppl 1 (2013), 135–149.
59. Woodward-Lopez, G., Kao, J., Ritchie, L., To what extent have sweetened beverages contributed to the obesity epidemic?. Public Health Nutr. 14 (2011), 499–509.