Dietary share of ultra-processed foods and metabolic syndrome in the US adult population

Preventive Medicine

Volumn 125, Issue , 2019, Pages 40-48

  Martínez Steele, Eurídice ^a   Juul, Filippa ^b   Neri, Daniela ^a   Rauber, Fernanda ^a   Monteiro, Carlos A ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Blood pressure; HDL C; Hyperglycemia; Metabolic syndrome; NHANES; Triglycerides; Ultra processed foods; Waist circumference

Indexed keywords

HIGH DENSITY LIPOPROTEIN; TRIACYLGLYCEROL; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

24 HOUR DIETARY RECALL; ADULT; AGE DISTRIBUTION; ARTICLE; BLOOD ANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIETARY INTAKE; DISEASE ASSOCIATION; EDUCATIONAL STATUS; ELEVATED BLOOD PRESSURE; ETHNICITY; FAMILY INCOME; FASTING; FEMALE; FOOD; GLUCOSE BLOOD LEVEL; HEALTH SURVEY; HUMAN; HYPERTRIGLYCERIDEMIA; LIPOPROTEIN BLOOD LEVEL; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; NUTRITIONAL ASSESSMENT; PHYSICAL ACTIVITY; PREVALENCE; PRIORITY JOURNAL; RACE DIFFERENCE; SEX DIFFERENCE; SMOKING; ULTRA PROCESSED FOOD; UNITED STATES; WAIST CIRCUMFERENCE; BLOOD; BLOOD PRESSURE; DIET; FAST FOOD; FEEDING BEHAVIOR; MIDDLE AGED; NUTRITION;

ADULT; BLOOD GLUCOSE; BLOOD PRESSURE; CHOLESTEROL, HDL; CROSS-SECTIONAL STUDIES; DIET; FAST FOODS; FEEDING BEHAVIOR; FEMALE; HUMANS; MALE; METABOLIC SYNDROME; MIDDLE AGED; NUTRITION SURVEYS; PREVALENCE; UNITED STATES;

EID: 85065901658     PISSN: 00917435     EISSN: 10960260     Source Type: Journal    
DOI: 10.1016/j.ypmed.2019.05.004     Document Type: Article

References (72)

1. Adamsson, V., Reumark, A., Cederholm, T., Vessby, B., Risérus, U., Johansson, G., What is a healthy Nordic diet? Foods and nutrients in the NORDIET study. Food Nutr. Res. 278 (2012), 542–544.
2. Agodi, A., Maugeri, A., Kunzova, S., Sochor, O., Bauerova, H., Kiacova, N., Barchitta, M., Vinciguerra, M., Association of dietary patterns with metabolic syndrome: results from the Kardiovize Brno 2030 study. Nutrients, 10(7), 2018, 10.3390/nu10070898 pii: E898. Jul 13.
3. Automated Multiple-Pass Method. United States Department of Agriculture., Agriculture Research Service http://www.ars.usda.gov/ba/bhnrc/fsrg.
4. Aguilar, M., Bhuket, T., Torres, S., Liu, B., Wong, R.J., Prevalence of the metabolic syndrome in the United States, 2003-2012. JAMA 313:19 (2015), 1973–1974, 10.1001/jama.2015.4260 May 19.
5. Alberti, K.G., Eckel, R.H., Grundy, S.M., et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120 (2009), 1640–1645.
6. Azadbakht, L., Mirmiran, P., Esmaillzadeh, A., Azizi, T., Azizi, F., Beneficial effects of a dietary approaches to stop hypertension eating plan on features of the metabolic syndrome. Diabetes Care 28 (2005), 2823–2831.
7. Babio, N., Toledo, E., Estruch, R., Ros, E., Martínez-González, M.A., Castañer, O., et al. Mediterranean diets and metabolic syndrome status in the PREDIMED randomized trial. CMAJ 186 (2014), E649–E657.
8. Barros, A.J., Hirakata, V.N., Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med. Res. Methodol., 3, 2003, 21.
9. Beltrán-Sánchez, H., Harhay, M.O., Harhay, M.M., McElligott, S., Prevalence and trends of metabolic syndrome in the adult US population, 1999–2010. J. Am. Coll. Cardiol. 62:8 (2013), 697–703, 10.1016/j.jacc.2013.05.064 August 20.
10. Bingham, S., Luben, R., Welch, A., et al. Epidemiologic assessment of sugars consumption using biomarkers: comparisons of obese and non-obese individuals in the European Prospective Investigation of Cancer Norfolk. Cancer Epidemiol. Biomark. Prev. 16:8 (2007), 1651–1654.
11. Blanton, C.A., Moshfegh, A.J., Baer, D.J., Kretsch, M.J., The USDA automated multiple-pass method accurately estimates group total energy and nutrient intake. J. Nutr. 136:10 (2006), 2594–2599 Oct.
12. Boulange, C.L., Neves, A.L., Chilloux, J., et al. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med., 8, 2016, 42.
13. Bowman, S.A., Clemens, J.C., Thoerig, R.C., et al. Food patterns equivalents database 2009–10; 2011-2012; 2013-2014: methodology and user guide [online]. Food surveys research group, beltsville human nutrition research center, agricultural research service., Department of Agriculture, US Beltsville, Maryland http://www.ars.usda.gov/ba/bhnrc/fsrg, 2013.
14. Calton, E.K., James, A.P., Pannu, P.K., Soares, M.J., Certain dietary patterns are beneficial for the metabolic syndrome: reviewing the evidence. Nutr. Res. 34 (2014), 559–568.
15. 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(3), 2014 Mar 25, e92752, 10.1371/journal.pone.0092752 (eCollection 2014).
16. Cediel, G., Reyes, M., da Costa Louzada, M.L., Martinez Steele, E., Monteiro, C.A., Corvalán, C., Uauy, R., Ultra-processed foods and added sugars in the Chilean diet (2010). Public Health Nutr. 21:1 (2018), 125–133, 10.1017/S1368980017001161 Jan. (Epub 2017 Jun 19).
17. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey. Anthropometry Procedures Manuals: 2009–2010; 2011–2012; 2013–2014.
18. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey. Laboratory Procedures Manuals: 2009–2010; 2011–2012; 2013–2014.
19. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey. Physician Examination Procedures Manual: 2009–2010; 2011–2012; 2013–2014.
20. Djousse, L., Padilla, H., Nelson, T.L., Gaziano, J.M., Mukamal, K.J., Diet and metabolic syndrome. Endocr Metab Immune Disord Drug Targets 10 (2010), 124–137.
21. Esmaillzadeh, A., Kimiagar, M., Mehrabi, Y., Azadbakht, L., Hu, F.B., Willett, W.C., Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women. Am. J. Clin. Nutr. 85 (2007), 910–918.
22. Fardet, A., Minimally processed foods are more satiating and less hyperglycemic than ultra-processed foods: a preliminary study with 98 ready-to-eat foods. Food Funct. 7 (2016), 2338–2346.
23. Gouveri E, and Diamantopoulos EJ. The Mediterranean diet and metabolic syndrome (chapter 29) in The Mediterranean Diet. An Evidence-Based Approach. Elsevier 2015. Edited by: Victor R. Preedy and Ronald Ross Watson.
24. Heidemann, C., Scheidt-Nave, C., Richter, A., Mensink, G.B., Dietary patterns are associated with cardiometabolic risk factors in a representative study population of German adults. Br. J. Nutr. 106 (2011), 1253–1262.
25. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA, 285, 2001, 2486–2497 (PubMed: 11368702).
26. Johnson CL, Paulose-Ram R, Ogden CL, et al. National Health and Nutrition Examination Survey: Analytic Guidelines, 1999–2010, 2011–2012. National Center for Health Statistics.
27. Julia, C., Martinez, L., Allès, B., Touvier, M., Hercberg, S., Méjean, C., Kesse-Guyot, E., Contribution of ultra-processed foods in the diet of adults from the French NutriNet-Santé study. Public Health Nutr. 21:1 (2018 Jan), 27–37, 10.1017/S1368980017001367 (Epub 2017 Jul 13).
28. Juul, F., Martinez-Steele, E., Parekh, N., Monteiro, C.A., Chang, V.W., Ultra-processed food consumption and excess weight among US adults. Br. J. Nutr. 120:1 (2018), 90–100, 10.1017/S0007114518001046 Jul. (Epub 2018 May 6).
29. Kastorini, C.M., Milionis, H.J., Esposito, K., Giugliano, D., Goudevenos, J., Panagiotakos, D.B., The effect of Mediterranean diet on metabolic syndrome and its components: a meta-analysis of 50 studies and 534,906 individuals. J. Am. Coll. Cardiol. 57 (2011), 1299–1313.
30. Lafay, L., Mennen, L., Basdevant, A., et al. Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Sante (FLVS) study. Int. J. Obes. Relat. Metab. Disord. 24 (2000), 1500–1506.
31. Latasa, P., Louzada, M.L.D.C., Martinez Steele, E., Monteiro, C.A., Added sugars and ultra-processed foods in Spanish households (1990-2010). Eur. J. Clin. Nutr., 2017, 10.1038/s41430-017-0039-0 Dec 26.
32. Lavigne-Robichaud, M., Moubarac, J.-C., Lantagne-Lopez, S., Johnson-Down, L., Batal, M., Laouan Sidi, E., Lucas, M., Diet quality indices in relation to metabolic syndrome in an indigenous Cree (Eeyouch) population in northern Québec, Canada. Public Health Nutr. 21:1 (2018), 172–180, 10.1017/S136898001700115X.
33. 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., Imamura, F., Mozaffarian, D., Monteiro, C.A., Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev. Med. 81 (2015 Dec), 9–15, 10.1016/j.ypmed.2015.07.018 (Epub 2015 Jul 29).
34. Louzada, M.L., Martins, A.P., Canella, D.S., Baraldi, L.G., Bertazzi, R.L., Claro, R.M., Moubarac, J.C., Cannon, G., Monteiro, C.A., Ultra-processed foods and the nutritional dietary profile in Brazil. Rev. Saude Publica, 49, 2015, 38, 10.1590/S0034-8910.2015049006132.
35. Louzada, M.L., Martins, A.P., Canella, D.S., Baraldi, L.G., Bertazzi, R.L., 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, 45, 10.1590/S0034-8910.2015049006211.
36. Louzada, M.L.D.C., Ricardo, C.Z., Steele, E.M., Levy, R.B., Cannon, G., Monteiro, C.A., The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 21:1 (2018), 94–102.
37. Martínez Steele, E., Monteiro, C.A., Association between dietary share of ultra-processed foods and urinary concentrations of phytoestrogens in the US. Nutrients, 9(3), 2017, 209, 10.3390/nu9030209.
38. Martinez Steele, E., Baraldi, L.G., Louzada, M.L., Moubarac, J.C., Mozaffarian, D., Monteiro, C.A., Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study. BMJ Open, 6(3), 2016, e009892, 10.1136/bmjopen-2015-009892 Mar 9.
39. Martínez Steele, E., Popkin, B.M., Swinburn, B., Monteiro, C.A., 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 Metrics, 15(1), 2017 Feb 14, 6, 10.1186/s12963-017-0119-3.
40. Martínez-González, M.Á., Martín-Calvo, N., The major European dietary patterns and metabolic syndrome. Rev. Endocr. Metab. Disord. 14:3 (2013), 265–271, 10.1007/s11154-013-9264-6 Sep.
41. Mendonça, R.D., Pimenta, A.M., Gea, A., de la Fuente-Arrillaga, C., Martinez-Gonzalez, M.A., Lopes, A.C., Bes-Rastrollo, M., Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra Follow-up (SUN) cohort study. Am. J. Clin. Nutr. 104:5 (2016), 1433–1440 Nov. (Epub 2016 Oct 12).
42. Mendonça, R.D., Lopes, A.C., Pimenta, A.M., Gea, A., Martinez-Gonzalez, M.A., Bes-Rastrollo, M., Ultra-processed food consumption and the incidence of hypertension in a Mediterranean cohort: the Seguimiento Universidad de Navarra project. Mendonça RD, Lopes AC, Pimenta AM, Gea a, Martinez-Gonzalez MA, Bes-Rastrollo M. Am. J. Hypertens. 30:4 (2017), 358–366, 10.1093/ajh/hpw137 Apr 1.
43. Monteiro, C.A., Cannon, G., The impact of transnational ‘big food’ companies on the south: a view from Brazil. PLoS Med., 9, 2012, e1001252.
44. Monteiro, C.A., Levy, R.B., Claro, R.M., et al. Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr. 14:1 (2010), 5–13, 10.1017/S1368980010003241.
45. Monteiro, C.A., Moubarac, J.C., Cannon, G., Popkin, B.M., Ultra-processed products are becoming dominant in the global food system. Obes. Rev. 14:Suppl. 2 (2013), 21–28, 10.1111/obr.12107.
46. Monteiro, C.A., Cannon, G., Levy, R.B., Moubarac, J.C., Louzada, M.L., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., Baraldi, L.G., Jaime, P.C., Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 12 (2019 Feb), 1–6, 10.1017/S1368980018003762.
47. Moodie, R., Stuckler, D., Monteiro, C., et al. Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. Lancet 381:9867 (2013), 670–679, 10.1016/S0140-6736(12)62089-3 Feb 23.
48. Moshfegh, A.J., Rhodes, D.G., Baer, D.J., Murayi, T., Clemens, J.C., Rumpler, W.V., Paul, D.R., Sebastian, R.S., Kuczynski, K.C., Ingwersen, L.A., Staples, R.C., Cleveland, L.C., The USDA automated multiple-pass method reduces bias in the collection of energy intakes. Am. J. Clin. Nutr. 88 (2008), 324–332.
49. Moubarac, J.-C., Martins, A.P.B., 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., 2012, 10.1017/S1368980012005009.
50. Moubarac, J.C., Batal, M., Louzada, M.L., Martinez Steele, E., Monteiro, C.A., Consumption of ultra-processed foods predicts diet quality in Canada. Appetite 108 (2017), 512–520, 10.1016/j.appet.2016.11.006 Jan 1. (Epub 2016 Nov 4).
51. National Cholesterol Education Program (U.S.), Expert Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): Final Report. 2002, The Program, Washington, D.C.
52. National Health and Nutrition Examination Survey, NHANES Response Rates and Population Totals. Response Rates (2009–2014). https://wwwn.cdc.gov/nchs/nhanes/ResponseRates.aspx> (accessed April 2018).
53. NHANES, MEC in-Person Dietary Interviewers Procedures Manual. January. Available at: http://www.cdc.gov/nchs/data/nhanes/nhanes_09_10/DietaryInterviewers_Inperson.pdf, 2009.
54. NHANES, Phone follow-up dietary interviewer procedures manual. September. Available at: http://www.cdc.gov/nchs/data/nhanes/nhanes_09_10/Dietary_PFU_09.pdf, 2009.
55. Pérez-Martínez, P., Mikhailidis, D.P., Athyros, V.G., Bullo, M., Couture, P., Covas, M.I., de Koning, L., Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutr. Rev. 75:5 (2017), 307–326, 10.1093/nutrit/nux014 May 1.
56. Prentice, R.L., Mossavar-Rahmani, Y., Huang, Y., Van Horn, L., Beresford, S.A.A., Caan, B., et al. Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am. J. Epidemiol. 174:5 (2011), 591–603 Sep 1.
57. Pryer, J.A., Vrijheid, M., Nichols, R., et al. Who are the “low energy reporters” in the dietary and nutritional survey of British adults?. Int. J. Epidemiol. 26 (1997), 146–154.
58. 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. 25:1 (2015), 116–122, 10.1016/j.numecd.2014.08.001 Jan. (Epub 2014 Aug 20).
59. −2014). Nutrients, 10(5), 2018, 10.3390/nu10050587 pii: E587. May 9.
60. Rodríguez-Monforte, M., Sánchez, E., Barrio, F., Costa, B., Flores-Mateo, G., Metabolic syndrome and dietary patterns: a systematic review and meta-analysis of observational studies. Eur. J. Nutr. 56 (2017), 925–947.
61. Rumpler, W.V., Kramer, M., Rhodes, D.G., Moshfegh, A.J., Paul, D.R., Kramer, M., Identifying sources of reporting error using measured food intake. Eur. J. Clin. Nutr. 62 (2008), 544–552.
62. Schuit, A.J., van Loon, A.J., Tijhuis, M., et al. Clustering of lifestyle risk factors in a general adult population. Prev. Med. 35:3 (2002), 219–224.
63. Shab-Bidar, S., Golzarand, M., Hajimohammadi, M., Mansouri, S., A posteriori dietary patterns and metabolic syndrome in adults: a systematic review and meta-analysis of observational studies. Public Health Nutr. 21 (2018), 1681–1692.
64. Slining, M.M., Yoon, E.F., Davis, J., Hollingsworth, B., Miles, D., Ng, S.W., An approach to monitor food and nutrition from “factory to fork”. J. Acad. Nutr. Diet. 115:1 (2015), 40–49.
65. 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., 9, 2012, e1001235.
66. Subar, A.F., Freedman, L.S., Tooze, J.A., et al. Addressing current criticism regarding the value of self-report dietary data. J. Nutr., 2015, 10.3945/jn.115.219634 First published online October 14.
67. 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. 15:1 (2012), 82–87, 10.1017/S1368980011001571 Jan. (Epub 2011 Jul 14).
68. U.S. Department of Agriculture, Agricultural Research Service, USDA food and nutrient database for dietary studies 5.0, 2011-2012 and 2013-2014. Food surveys research group home page. http://www.ars.usda.gov/ba/bhnrc/fsrg.
69. U.S. Department of Health and Human Services, 2008 physical activity guidelines for Americans., U.S. Department of Health and Human Services, Washington (DC), 2008 ODPHP Publication No. U0036. Available at: http://www.health.gov/paguidelines.
70. Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications, 2015, Panamerican Health Organization, Washington D.C.
71. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory, USDA National Nutrient Database for Standard Reference, Release 24; Release 26; Release 28. Version Current. Internet http://www.ars.usda.gov/ba/bhnrc/ndl, May 2016.
72. Zinöcker, M.K., Lindseth, I.A., The Western diet–microbiome-host interaction and its role in metabolic disease. Nutrients, 10, 2018, 365, 10.3390/nu10030365.