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The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study (2017)

  • Authors:
  • USP affiliated authors: MONTEIRO, CARLOS AUGUSTO - FSP
  • USP Schools: FSP
  • DOI: 10.1186/s12963-017-0119-3
  • Subjects: ALIMENTOS INDUSTRIALIZADOS; QUALIDADE DOS ALIMENTOS; PADRÕES DIETÉTICOS; ESTUDOS TRANSVERSAIS; MACRONUTRIENTES; MICRONUTRIENTES
  • Language: Inglês
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    Informações sobre o DOI: 10.1186/s12963-017-0119-3 (Fonte: oaDOI API)
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    • ABNT

      MARTINEZ-STEELE, Euridice; POPKIN, Barry M; SWINBURN, Boyd; MONTEIRO, Carlos Augusto. The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study. Population Health Metrics, Londres, v. 15, p. art. 6 [11], 2017. Disponível em: < https://doi.org/10.1186/s12963-017-0119-3 > DOI: 10.1186/s12963-017-0119-3.
    • APA

      Martinez-Steele, E., Popkin, B. M., Swinburn, B., & Monteiro, C. A. (2017). The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study. Population Health Metrics, 15, art. 6 [11]. doi:10.1186/s12963-017-0119-3
    • NLM

      Martinez-Steele E, Popkin BM, Swinburn B, Monteiro CA. The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study [Internet]. Population Health Metrics. 2017 ;15 art. 6 [11].Available from: https://doi.org/10.1186/s12963-017-0119-3
    • Vancouver

      Martinez-Steele E, Popkin BM, Swinburn B, Monteiro CA. The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study [Internet]. Population Health Metrics. 2017 ;15 art. 6 [11].Available from: https://doi.org/10.1186/s12963-017-0119-3

    Referências citadas na obra
    Monteiro CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr. 2009;12(5):729–31.
    Ludwig DS. Technology, diet, and the burden of chronic disease. JAMA. 2011;305:1352–3.
    Moodie R, Stuckler D, Monteiro C, Sheron N, Neal B, Thamarangsi T, Lincoln P, Casswell S. Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. Lancet. 2013;381(9867):670–9. doi: 10.1016/S0140-6736(12)62089-3 .
    Monteiro CA, Cannon G, Levy RB, Claro RM, Moubarac J-C. Ultra-processing and a new classification of foods. In: Neff R, editor. Introduction to U.S. Food System. Public Health, Environment, and Equity. Jossey Bass A Wiley Brand: San Francisco; 2015. p. 338–9.
    FAO. Guidelines on the collection of information on food processing through food consumption surveys. Rome: FAO; 2015.
    Ultra-processed food and drink products in Latin America: Trends, impact on obesity, policy implications. Washington D.C.: Panamerican Health Organization, 2015.
    Monteiro CA, Levy RB, Claro RM, de Castro IR, Cannon G. Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr. 2010a;14(1):5–13. doi: 10.1017/S1368980010003241 .
    Louzada ML, Martins AP, Canella DS, Baraldi LG, Bertazzi RL, Claro RM, Moubarac JC, Cannon G, Monteiro CA. Ultra-processed foods and the nutritional dietary profile in Brazil. Rev Saude Publica. 2015a;49:38. doi: 10.1590/S0034-8910.2015049006132 .
    Louzada ML, Martins AP, Canella DS, Baraldi LG, Bertazzi RL, Claro RM, Moubarac JC, Cannon G, Monteiro CA. Impact of ultra-processed foods on micronutrient content in the Brazilian diet. Rev Saude Publica. 2015b;49:45. doi: 10.1590/S0034-8910.2015049006211 .
    Moubarac J-C, Martins APB, Claro RM, Levy RB, Cannon G, Monteiro CA. Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada. Public Health Nutr, 2012; doi:10.1017/S1368980012005009.
    Martinez Steele E, Baraldi LG, Louzada ML, Moubarac JC, Mozaffarian D, Monteiro CA. Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study. BMJ Open. 2016;6:e009892. doi: 10.1136/bmjopen-2015-009892 .
    Poti JM, Mendez MA, Ng SW, Popkin BM. Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households? Am J Clin Nutr. 2015;101(6):1251–62. doi: 10.3945/ajcn.114.100925 .
    Stuckler D, McKee M, Ebrahim S, Basu S. Manufacturing epidemics: the role of global producers in increased consumption of unhealthy commodities including processed foods, alcohol, and tobacco. PLoS Med. 2012;9, e1001235.
    Monteiro CA, Cannon G. The impact of transnational ‘Big Food’ companies on the South: a view from Brazil. PLoS Med. 2012a;9:e1001252.
    Monteiro CA, Moubarac JC, Cannon G, Popkin BM. Ultra-processed products are becoming dominant in the global food system. Obes Rev. 2013;14 Suppl 2:21–8. doi: 10.1111/obr.12107 .
    Juul F, Hemmingsson E. Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Public Health Nutr. 2015. doi: 10.1017/S1368980015000506 .
    Monteiro CA, Levy RB, Claro RM, Castro IR, Cannon G. A new classification of foods based on the extent and purpose of their processing. Cad Saúde Pública. 2010;26(11):2039–49.
    Vandevijvere S, Monteiro C, Krebs-Smith SM, Lee A, Swinburn B, Kelly B, Neal B, Snowdon W, Sacks G. INFORMAS. Monitoring and benchmarking population diet quality globally: a step-wise approach. Obes Rev. 2013;Suppl 1:135–49. doi: 10.1111/obr.12082 .
    Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3–9.
    Reedy J, Wirfalt E, Flood A, Mitrou PN, Krebs-Smith SM, Kipnis V, Midthune D, Leitzmann M, Hollenbeck A, Schatzkin A, Subar AF. Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. Am J Epidemiol. 2010;171(4):479–87.
    Akin JS, Guilkey DK, Popkin BM, Fanelli MT. Cluster analysis of food consumption patterns of older Americans. J Am Diet Assoc. 1986;5:616–24.
    Patterson RE, Haines PS, Popkin BM. Diet quality index: capturing a multidimensional behavior. J Am Diet Assoc. 1994;1:57–64.
    Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc. 2004;104(4):615–35.
    Kant AK. Indexes of overall diet quality: a review. J Am Diet Assoc. 1996;8:785–91.
    Diet and health: implication for reducing chronic disease risk. National Academy Press, Washington, DC; 1989.
    Lee CN, Reed DM, MacLean CJ, Yano K, Chiu D. Dietary potassium and stroke. N Engl J Med. 1988;318:995–6.
    Sacks FM, Obarzanek E, Windhauser MM. for the DASH investigators. Rational and design of the Dietary Approaches to Stop Hypertension Trial (DASH): a multicenter controlled-feeding study of dietary patterns to lower blood pressure. Ann Epidemiol. 1994;5:108–18.
    Farchi G, Mariotti S, Menotti A, Seccareccia F, Torsello S, Fidanza F. Diet and 20-y mortality in two rural population groups of middle-aged men in Italy. Am J Clin Nutr. 1989;50:1095–103.
    Kant AK, Schatzkin A, Block G, Ziegler RG, Nestle M. Food group intake patterns and associated nutrient profiles of the US population. J Am Diet Assoc. 1991;91:1532–7.
    Randall E, Marshall JR, Graham S, Brasure J. Patterns in food use and their associations with nutrient intakes. Am J Clin Nutr. 1990;52:739–45.
    Moeller SM, Reedy J, Millen AE, Dixon LB, Newby PK, Tucker KL, Krebs-Smith SM, Guenther PM. Dietary patterns: challenges and opportunities in dietary patterns research an Experimental Biology workshop, April 1, 2006. J Am Diet Assoc. 2007;107:1233–9.
    Johnson CL, Paulose-Ram R, Ogden CL. National Health and Nutrition Examination Survey: Analytic guidelines, 1999–2010. National Center for Health Statistics. Vital Health Stat 2 (161). 2013.
    Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KC, Ingwersen LA, Staples RC, The CLC, USDA. Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr. 2008;88:324–32.
    Blanton CA, Moshfegh AJ, Baer DJ, Kretsch MJ. The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. J Nutr. 2006;136(10):2594–9.
    Rumpler WV, Kramer M, Rhodes DG, Moshfegh AJ, Paul DR, Kramer M. Identifying sources of reporting error using measured food intake. Eur J Clin Nutr. 2008;62:544–52.
    Moubarac JC, Parra DC, Cannon G, Monteiro CA. Food Classification Systems Based on Food Processing: significance and implications for policies and actions: a systematic literature review and assessment. Curr Obes Rep. 2014;3:256–72.
    Monteiro CA, Cannon G, Levy RB, Claro R, Moubarac JC, Martins AP, Louzada ML, Baraldi L, Canella D. The Food System. Processing. The big issue for disease, good health, well-being. World Nutr. 2012;3:527–69. www.wphna.org (accessed Jan 2017).
    Ahuja JKA, Montville JB, Omolewa-Tomobi G, Heendeniya KY, Martin CL, Steinfeldt LC, Anand J, Adler ME, LaComb RP, and Moshfegh AJ. 2012. USDA Food and Nutrient Database for Dietary Studies, 5.0. U.S. Department of Agriculture, Agricultural Research Service, Food Surveys Research Group, Beltsville, MD.
    U.S. Department of Agriculture, Agricultural Research Service. USDA National Nutrient Database for Standard Reference, Release 24. 2011. Nutrient Data Laboratory Home Page, available at: http://www.ars.usda.gov/ba/bhnrc/ndl  (accessed Jan 2017).
    U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015–2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/  (accessed Jan 2017).
    Bowman SA, Clemens JC, Thoerig RC, Friday JE, Shimizu M, Moshfegh AJ. Food Surveys Research Group, Beltsville Human Nutrition Research Center, Agricultural Research Service. U.S.: Department of Agriculture, Beltsville, Maryland; 2013. Food Patterns Equivalents Database 2009–10: Methodology and User Guide [Online], < http://www.ars.usda.gov/ba/bhnrc/fsrg > (accessed June 2013).
    Raykov T, Marcoulides GA. An Introduction to Applied Multivariate Analysis, 2008. ISBN-13: 978-0-8058-6375-8 (hardcover) (page 211–238).
    Eicher-Miller HA, Fulgoni III VL, Keast DR. Contributions of Processed Foods to Dietary Intake in the US from 2003–2008: A Report of the Food and Nutrition Science Solutions Joint Task Force of the Academy of Nutrition and Dietetics, American Society for Nutrition, Institute of Food Technologists, and International Food Information Council. J Nutr. 2012;142:2065S–72S. doi: 10.3945/jn.112.164442 .
    International Food Information Council Foundation. Understanding our food communications tool kit, 2010. http://www.foodinsight.org/For-Professionals/Understanding-Our-Food/tabid/1398/Default.aspx (accessed Jan 2017).
    Eicher-Miller HA, Fulgoni VL, Keast DR. Processed Food Contributions to Energy and Nutrient Intake Differ among US Children by Race/Ethnicity. Nutrients. 2015;7(12):10076–88. doi: 10.3390/nu7125503 .
    Eicher-Miller HA, Fulgoni VL, Keast DR. Energy and Nutrient Intakes from Processed Foods Differ by Sex, Income Status, and Race/Ethnicity of US Adults. J Acad Nutr Diet. 2015;115(6):907–18. doi: 10.1016/j.jand.2014.11.004 . e6, Epub 2015 Jan 8.
    Crovetto MM, Uauy R, Martins AP, Moubarac JC, Monteiro C. Household availability of ready-to-consume food and drink products in Chile: impact on nutritional quality of the diet. Rev Med Chil. 2014;142(7):850–8. doi: 10.4067/S0034-98872014000700005 .
    Slining MM, Yoon EF, Davis J, Hollingsworth B, Miles D, Ng SW. An Approach to Monitor Food and Nutrition from “Factory to Fork”. J Acad Nutr Diet. 2015;115(1):40–9.
    Martinez ME, Marshall JR, Sochrost L. Invited commentary: factor analysis and the search for objectivity. Am J Epidemiol. 1998;148:17–9.