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PLOS ONE  2014 

Ultra-Processed Food Products and Obesity in Brazilian Households (2008–2009)

DOI: 10.1371/journal.pone.0092752

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Abstract:

Background Production and consumption of industrially processed food and drink products have risen in parallel with the global increase in overweight and obesity and related chronic non-communicable diseases. The objective of this study was to analyze the relationship between household availability of processed and ultra-processed products and the prevalence of excess weight (overweight plus obesity) and obesity in Brazil. Methods The study was based on data from the 2008–2009 Household Budget Survey involving a probabilistic sample of 55,970 Brazilian households. The units of study were household aggregates (strata), geographically and socioeconomically homogeneous. Multiple linear regression models were used to assess the relationship between the availability of processed and ultra-processed products and the average of Body Mass Index (BMI) and the percentage of individuals with excess weight and obesity in the strata, controlling for potential confounders (socio-demographic characteristics, percentage of expenditure on eating out of home, and dietary energy other than that provided by processed and ultra-processed products). Predictive values for prevalence of excess weight and obesity were estimated according to quartiles of the household availability of dietary energy from processed and ultra-processed products. Results The mean contribution of processed and ultra-processed products to total dietary energy availability ranged from 15.4% (lower quartile) to 39.4% (upper quartile). Adjusted linear regression coefficients indicated that household availability of ultra-processed products was positively associated with both the average BMI and the prevalence of excess weight and obesity, whereas processed products were not associated with these outcomes. In addition, people in the upper quartile of household consumption of ultra-processed products, compared with those in the lower quartile, were 37% more likely to be obese. Conclusion Greater household availability of ultra-processed food products in Brazil is positively and independently associated with higher prevalence of excess weight and obesity in all age groups in this cross-sectional study.

 References

[1]  Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, et al. (2011) National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9,1 million participants. Lancet 377: 557–567. doi: 10.1016/s0140-6736(10)62037-5
[2]  Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, et al. (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378: 804–814. doi: 10.1016/s0140-6736(11)60813-1
[3]  Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de Or？amentos Familiares 2008–2009– Antropometria e estado nutricional de crian？as, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE.
[4]  Ministério da Saúde. Secretaria de Vigilancia em Saúde. Secretaria de Gest？o Estratégica e Participativa (2012) Vigitel Brasil 2011: Vigilancia de Fatores de Risco e Prote？？o para Doen？as Cr？nicas por Inquérito Telef？nico. Brasília: Ministério da Saúde (Série G. Estatística e Informa？？o em Saúde).
[5]  Ludwig DS, Nestle M (2008) Can the food industry play a constructive role in the obesity epidemic? JAMA 300: 1808–1811. doi: 10.1001/jama.300.15.1808
[6]  Hawkes C (2012) Food policies for healthy populations and healthy economies. BMJ 344: e2801. doi: 10.1136/bmj.e2801
[7]  World Health Organization (2003) Diet, nutrition and the prevention of chronic diseases. Geneva: WHO (Technical Report Series, 916).
[8]  World Cancer Research Fund, American Institute for Cancer Research (2007) Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Washington: AICR.
[9]  Monteiro CA (2009) Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr 12: 729–731. doi: 10.1017/s1368980009005291
[10]  Stuckler D, Nestle M (2012) Big Food, Food Systems, and Global Health. PLoS Med 9: e1001242. doi: 10.1371/journal.pmed.1001242
[11]  Monteiro CA, Levy RB, Claro RM, Castro IRR, Cannon G (2010) A new classification of foods based on the extent and purpose of their processing. Cad Saúde Pública 26: 2039–2049. doi: 10.1590/s0102-311x2010001100005
[12]  Monteiro CA, Cannon G, Levy RB, Claro RM, Moubarac J-C (2012) The Food System. Processing. The big issue for disease, good health, well-being. World Nutrition 3: 527–569 Available: www.wphna.org.
[13]  Monteiro CA, Levy RB, Claro RM, Castro IRR, Cannon G (2011) Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr 14: 5–13. doi: 10.1017/s1368980010003241
[14]  Moubarac J-C, Martins APB, Claro RM, Levy RB, Cannon G, et al.. (2012) Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada. Public Health Nutr In press. DOI: http://dx.doi.org/10.1017/S1368980012005？009.
[15]  Monteiro CA, Gomes FS, Cannon G (2010) The snack attack. Am J Public Health 100: 975–981. doi: 10.2105/ajph.2009.187666
[16]  Ludwig DS (2011) Technology, diet, and the burden of chronic disease. JAMA 305: 1352–1353. doi: 10.1001/jama.2011.380
[17]  Moubarac J-C (2012) The big issue is ultra-processing. Sexing up ultra-processed products. World Nutrition 3: 62–80. Obtainable at: www.wphna.org.
[18]  Tavares LF, Fonseca SC, Rosa MLG, Yokoo EM (2012) Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr 15: 82–87. doi: 10.1017/s1368980011001571
[19]  Moubarac J, Batal M, Martins APB, Levy RB, Claro RM, et al. (2014) Processed and ultra-processed food products: consumption trends in Canada from 1938 to 2011. Can J Diet Pract Res 75: 15–21. doi: 10.3148/75.1.2014.15
[20]  Martins APB, Levy RB, Claro RM, Moubarac J, Monteiro CA (2013) Increased contribution of ultra-processed food products in the Brazilian diet (1987–2009). Rev Saúde Pública 47: 656–665 DOI http://dx.doi.org/10.1590/S0034-8910.201？3047004968.
[21]  Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de Or？amentos Familiares 2008–2009– Despesas, rendimentos e condi？？es de vida. Rio de Janeiro: IBGE.
[22]  Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de Or？amentos Familiares 2008–2009– Aquisi？？o alimentar domiciliar per capita: Brasil e grandes regi？es. Rio de Janeiro: IBGE.
[23]  Instituto Brasileiro de Geografia e Estatística (1996) Tabela de composi？？o de alimentos. 4th ed. Rio de Janeiro: IBGE.
[24]  Universidade Estadual de Campinas. Núcleo de Estudos e Pesquisas em Alimenta？？o (2004) Tabela Brasileira de Composi？？o de Alimentos – TACO. 1st ed. Campinas: UNICAMP.
[25]  United States Department of Agriculture. Agricultural Research Service (2002) USDA National Nutrient Database for Standard Reference. Release, 15. Beltsville: USDA.
[26]  World Health Organization (1995) Physical status: the use and interpretation of anthropometry. Geneva: WHO (Technical Report Series, 854).
[27]  World Health Organization (2006) WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development. Geneva: WHO.
[28]  de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, et al. (2007) Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 85: 660–667. doi: 10.2471/blt.07.043497
[29]  Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin B (2013) Ultra-processed products are becoming dominant in the global food system. Obes Rev 14 (Suppl 2)21–28 doi: 10.1111/obr.12107.
[30]  Becker W (2001) Comparability of household and individual food consumption data – evidence from Sweden. Public Health Nutr 4: 1177–1182.
[31]  Naska A, Vasdekis VGS, Trichopoulou A (2001) A preliminary assessment of the use of household budget survey data for the prediction of individual food consumption. Public Health Nutr 4: 1159–1165.
[32]  Bezerra IN, Souza AM, Pereira RA, Sichieri R (2012) Contribution of foods consumed away from home to energy intake in Brazilian urban areas: the 2008–09 Nationwide Dietary Survey. Br J Nutr 31: 1–8. doi: 10.1017/s0007114512003169
[33]  Monteiro CA, Conde WL, Matsudo SM, Matsudo VR, Bense？or IM, et al. (2003) A descriptive epidemiology of leisure-time physical activity in Brazil (1996/97). Rev Panam Salud Pública 14: 246–254. doi: 10.1590/s1020-49892003000900005
[34]  Knuth AG, Malta DC, Dumith SC, Pereira CA, Neto OLM, et al. (2011) Practice of physical activity and sedentarism among Brazilians: results of the National Household Sample Survey - 2008. Ciênc Saúde Coletiva 16: 3697–3705.
[35]  Asfaw A (2011) Does consumption of processed foods explain disparities in the body weight of individual? The case of Guatemala. Health Econ 20: 194–205. doi: 10.1002/hec.1579
[36]  Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB (2011) Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med 364: 2392–2404. doi: 10.1056/nejmoa1014296
[37]  Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, et al. (2005) Fast food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365: 36–42. doi: 10.1016/s0140-6736(04)17663-0
[38]  Romaguera D, Angquist L, Du H, Jakobsen MU, Forouhi NG, et al. (2011) Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PloS One 6: e23384. doi: 10.1371/journal.pone.0023384
[39]  Fung TT, Malik V, Rexrode KM, Manson JE, Willett WC, et al. (2009) Sweetened beverage consumption and risk of coronary heart disease in women. Am J Clin Nutr 89: 1037–1042. doi: 10.3945/ajcn.2008.27140
[40]  Hu FB, Malik VS (2010) Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol Behav 100: 47–54. doi: 10.1016/j.physbeh.2010.01.036
[41]  Kavey REW (2010) How sweet it is: sugar-sweetened beverage consumption, obesity, and cardiovascular risk in childhood. J Am Diet Assoc 110: 1456–1460. doi: 10.1016/j.jada.2010.07.028
[42]  Monteiro CA, Cannon G (2012) The impact of transnational “Big Food” companies on the South: a view from Brazil. PLoS Med 9: e1001252. doi: 10.1371/journal.pmed.1001252

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