Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: Evidence from a nationally representative cross-sectional study

BMJ Open

Volumn 8, Issue 3, 2018, Pages

  Baraldi, Larissa Galastri ^a   Martinez Steele, Euridice ^a   Canella, Daniela Silva ^a,b   Monteiro, Carlos Augusto ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

diet; nutrition surveys; United States

Indexed keywords

ADOLESCENT; AGE; BLACK PERSON; CALORIE; CAUCASIAN; CLASSIFICATION; CROSS-SECTIONAL STUDY; DATA ANALYSIS; EDUCATION; ETHNICITY; FOOD INTAKE; FOOD PROCESSING; HIGH SCHOOL; HUMAN; HUMAN EXPERIMENT; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NUTRITION; OUTCOME ASSESSMENT; PUBLIC HEALTH; RECALL; REVIEW; UNITED STATES; CALORIC INTAKE; FAST FOOD; FEEDING BEHAVIOR; FEMALE; HEALTHY DIET; LONGITUDINAL STUDY; SOCIOECONOMICS; STATISTICAL MODEL; TIME FACTOR; UTILIZATION;

FOOD ADDITIVE;

AGE FACTORS; CROSS-SECTIONAL STUDIES; ENERGY INTAKE; FAST FOODS; FEEDING BEHAVIOR; FEMALE; FOOD ADDITIVES; HEALTHY DIET; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; MALE; NUTRITION SURVEYS; SOCIOECONOMIC FACTORS; TIME FACTORS; UNITED STATES;

EID: 85044210078     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2017-020574     Document Type: Review

References (38)

1. Martínez Steele E, Baraldi LG, Louzada ML, et al. Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study. BMJ Open 2016;6:e009892.
2. Monteiro CA, Cannon G, Moubarac JC, et al. The UN Decade of Nutrition, the NOVA food classifcation and the trouble with ultra-processing. Public Health Nutr 2018.21.
3. Micha R, Khatibzadeh S, Shi P, et al. Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specifc nutrition surveys worldwide. BMJ Open 2015;5:e008705.
4. Singh GM, Micha R, Khatibzadeh S, et al. Global, regional, and national consumption of sugar-sweetened beverages, fruit juices, and milk: a systematic assessment of beverage intake in 187 Countries. PLoS One 2015;10:e0124845.
5. Louzada ML, Baraldi LG, Steele EM, et al. Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev Med 2015;81:9-15.
6. Canella DS, Levy RB, Martins A P, et al. Ultra-processed food products and obesity in Brazilian households (2008-2009). PLoS One 2014;9:e92752.
7. Tavares L F, Fonseca SC, Garcia Rosa ML, et al. Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr 2012;15:1-6.
8. Mendonça RD, Pimenta AM, Gea A, et al. Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra Follow-Up (SUN) cohort study. Am J Clin Nutr 2016;104:1433-40.
9. Rauber F, Campagnolo PD, Hoffman DJ, et al. Consumption of ultra-processed food products and its effects on children's lipid profles: a longitudinal study. Nutr Metab Cardiovasc Dis 2015;25:116-22.
10. Flegal KM, Carroll MD, Kit BK, et al. Prevalence of obesity and trends in the distribution of body mass index among us adults, 1999-2010. JAMA 2012;307:491-7.
11. Murray CJ, Atkinson C, Bhalla K, et al. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. JAMA 2013;310:591-608.
12. Hawkes C. Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases. Global Health 2006;2:4.
13. Stuckler D, McKee M, Ebrahim S, et al. Manufacturing epidemics: the role of global producers in increased consumption of unhealthy commodities including processed foods, alcohol, and tobacco. PLoS Med 2012;9:e1001235.
14. Martínez Steele E, Popkin BM, Swinburn B, et al. The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study. Popul Health Metr 2017;15:6.
15. Johnson CL, Paulose-Ram R, Cl O, et al. National Health and Nutrition Examination Survey: Analytic guidelines, 1999-2010. National Center for Health Statistics 2013.
16. Centers for Disease Control and Prevention (CDC). NC for HS (NCHS. National Health and Nutrition Examination Survey. Measuring Guides for the Dietary Recall Interview. 2015. https://www.cdc.gov/nchs/nhanes/measuring-guides-dri/measuringguides.htm
17. U.S. Census Bureau, Population Division, Fertility & Family Statistics Branch. Current Population Survey: defnitions and explanations. 2004. http://www.census.gov/population/www/cps/cpsdef.html (accessed 18 Aug 2017).
18. Adams J, White M. Characterisation of UK diets according to degree of food processing and associations with socio-demographics and obesity: cross-sectional analysis of UK National Diet and Nutrition Survey (2008-12). Int J Behav Nutr Phys Act 2015;12:160.
19. Moubarac JC, Batal M, Louzada ML, et al. Consumption of ultra-processed foods predicts diet quality in Canada. Appetite 2017;108:512-20.
20. Cediel G, Reyes M, da Costa Louzada ML, et al. Ultra-processed foods and added sugars in the Chilean diet (2010). Public Health Nutr 2017.9.
21. Marrón-Ponce JA, Sánchez-Pimienta TG, Louzada M, et al. Energy contribution of NOVA food groups and sociodemographic determinants of ultra-processed food consumption in the Mexican population. Public Health Nutr 2018.21.
22. Julia C, Martinez L, Allès B, et al. Contribution of ultra-processed foods in the diet of adults from the French NutriNet-Santé study. Public Health Nutr 2018.21.
23. Wang DD, Leung CW, Li Y, et al. Trends in dietary quality among adults in the United States, 1999 through 2010. JAMA Intern Med 2014;174:1587-95.
24. Poti JM, Popkin BM. Trends in energy intake among US children by eating location and food source, 1977-2006. J Am Diet Assoc 2011;111:1156-64.
25. Wang DD, Li Y, Chiuve SE, et al. Improvements In US diet helped reduce disease burden and lower premature Deaths, 1999-2012; Overall Diet Remains Poor. Health Aff 2015;34:1916-22.
26. Reformulation SG. fortifcation and functionalization: big food corporations' nutritional engineering and marketing strategies. J Peasant Stud 2016;43:17-37.
27. Zagorsky JL, Smith PK. The association between socioeconomic status and adult fast-food consumption in the U.S. Econ Hum Biol 2017;27:12-25.
28. Boyland EJ, Nolan S, Kelly B, et al. Advertising as a cue to consume: a systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. Am J Clin Nutr 2016;103:519-33.
29. Kubik MY, Wall M, Shen L, et al. State but not district nutrition policies are associated with less junk food in vending machines and school stores in US public schools. J Am Diet Assoc 2010;110:1043-8.
30. Ford CN, Slining MM, Popkin BM. Trends in dietary intake among US 2-to 6-year-old children, 1989-2008. J Acad Nutr Diet 2013;113:35-42.
31. Kirkpatrick SI, Dodd KW, Reedy J, et al. Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children. J Acad Nutr Diet 2012;112:624-35.
32. Virudachalam S, Long JA, Harhay MO, et al. Prevalence and patterns of cooking dinner at home in the USA: National Health and Nutrition Examination Survey (NHANES) 2007-2008. Public Health Nutr 2014;17:1022-30.
33. Batis C, Hernandez-Barrera L, Barquera S, et al. Food acculturation drives dietary differences among Mexicans, Mexican Americans, and Non-Hispanic Whites. J Nutr 2011;141:1898-906.
34. Bittman M. Is junk food really cheaper? The New York Times 2011. http://www.nytimes.com/2011/09/25/opinion/sunday/is-junk-food-really-cheaper. html (accessed 6 Oct 2017).
35. Rao M, Afshin A, Singh G, et al. Do healthier foods and diet patterns cost more than less healthy options? A systematic review and meta-analysis. BMJ Open 2013;3:e004277.
36. Kern DM, Auchincloss AH, Robinson L F, et al. Healthy and unhealthy food prices across neighborhoods and their association with neighborhood socioeconomic status and proportion black/hispanic. J Urban Health 2017;94:494-505.
37. Becker GS. A theory of the allocation of time. Econ J 1965;75:493-517.
38. U.S. Department of Health & Human Services. Poverty guidelines, research, and measurement. Washington, DC: U.S. Department of Health & Human Services, 2012.