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Current Obesity Reports

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01-12-2017 | The Obesity Epidemic: Causes and Consequences (A Cameron and K Backholer, Section Editors)

Ultra-processed Food Intake and Obesity: What Really Matters for Health—Processing or Nutrient Content?

Authors: Jennifer M. Poti, Bianca Braga, Bo Qin

Published in: Current Obesity Reports | Issue 4/2017

Abstract

Purpose of Review

The aim of this narrative review was to summarize and critique recent evidence evaluating the association between ultra-processed food intake and obesity.

Recent Findings

Four of five studies found that higher purchases or consumption of ultra-processed food was associated with overweight/obesity. Additional studies reported relationships between ultra-processed food intake and higher fasting glucose, metabolic syndrome, increases in total and LDL cholesterol, and risk of hypertension. It remains unclear whether associations can be attributed to processing itself or the nutrient content of ultra-processed foods. Only three of nine studies used a prospective design, and the potential for residual confounding was high.

Summary

Recent research provides fairly consistent support for the association of ultra-processed food intake with obesity and related cardiometabolic outcomes. There is a clear need for further studies, particularly those using longitudinal designs and with sufficient control for confounding, to potentially confirm these findings in different populations and to determine whether ultra-processed food consumption is associated with obesity independent of nutrient content.

Tapsell LC, Neale EP, Satija A, Hu FB. Foods, nutrients, and dietary patterns: interconnections and implications for dietary guidelines. Adv Nutr. 2016;7(3):445–54. https://doi.org/10.3945/an.115.011718.CrossRefPubMedPubMedCentral

Monteiro CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr. 2009;12(5):729–31. https://doi.org/10.1017/S1368980009005291.CrossRefPubMed

•• Moubarac JC, Parra DC, Cannon G, Monteiro C. 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. This paper was the first systematic review to evaluate existing classification systems that categorize products by degree of food processing. Of the five identified systems, the NOVA food processing classification was rated highest in quality based on criteria for being a specific, coherent, clear, comprehensive, and workable system. CrossRefPubMed

• Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada ML, Jaime PC. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2017:1–13. doi:https://doi.org/10.1017/S1368980017000234. This commentary outlines the NOVA food processing classification and summarizes the use of NOVA in numerous studies to describe ultra-processed food consumption, examine the associations of ultra-processed foods with dietary quality and diet-related health outcomes, and inform dietary guidelines.

Pan American Health Organization of the World Health Organization. Ultra-processed food and drink products in Latin America: trends, impact on obesity, policy implications. Washington, DC: Pan American Health Organization of the WHO; 2015.

Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–14. https://doi.org/10.1016/S0140-6736(11)60813-1.CrossRefPubMed

Zobel EH, Hansen TW, Rossing P, von Scholten BJ. Global changes in food supply and the obesity epidemic. Curr Obes Rep. 2016;5(4):449–55. https://doi.org/10.1007/s13679-016-0233-8.CrossRefPubMed

Floros JD, Newsome R, Fisher W, Barbosa-Cánovas GV, Chen H, Dunne CP, et al. Feeding the world today and tomorrow: the importance of food science and technology. Compr Rev Food Sci Food Saf. 2010;9(5):572–99.CrossRef

Slimani N, Deharveng G, Southgate DA, Biessy C, Chajes V, van Bakel MM, et al. Contribution of highly industrially processed foods to the nutrient intakes and patterns of middle-aged populations in the European Prospective Investigation into Cancer and Nutrition study. Eur J Clin Nutr. 2009;63(Suppl 4):S206–25. https://doi.org/10.1038/ejcn.2009.82.CrossRefPubMed

10.

Wahlqvist ML. Food structure is critical for optimal health. Food Funct. 2016;7(3):1245–50. https://doi.org/10.1039/c5fo01285f.CrossRefPubMed

11.

van Boekel M, Fogliano V, Pellegrini N, Stanton C, Scholz G, Lalljie S, et al. A review on the beneficial aspects of food processing. Mol Nutr Food Res. 2010;54(9):1215–47. https://doi.org/10.1002/mnfr.200900608.CrossRefPubMed

12.

FAO. Guidelines on the collection of information on food processing through food consumption surveys. Rome: Food and Agriculture Organization of the United Nations; 2015.

13.

• Monteiro CA, Cannon G, Moubarac JC, Martins AP, Martins CA, Garzillo J, et al. Dietary guidelines to nourish humanity and the planet in the twenty-first century. A blueprint from Brazil. Public Health Nutr. 2015;18(13):2311–22. https://doi.org/10.1017/S1368980015002165. This paper discusses the development and aims of the Brazilian dietary guidelines released in 2014, which include recommendations to make minimally processed foods the basis of diet and to avoid consumption of ultra-processed foods. This is the first peer-reviewed paper by Monteiro and colleagues to describe the current NOVA classification for food processing. CrossRefPubMed

14.

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 Saude Publica. 2010;26(11):2039–49.CrossRefPubMed

15.

Moubarac JC, Claro RM, Baraldi LG, Levy RB, Martins AP, Cannon G, et al. International differences in cost and consumption of ready-to-consume food and drink products: United Kingdom and Brazil, 2008-2009. Glob Public Health. 2013;8(7):845–56. https://doi.org/10.1080/17441692.2013.796401.CrossRefPubMed

16.

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. https://doi.org/10.4067/S0034-98872014000700005.CrossRef

17.

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. 2011;14(1):5–13. https://doi.org/10.1017/S1368980010003241.CrossRefPubMed

18.

Moubarac JC, Martins AP, 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. 2012:1–9. doi:https://doi.org/10.1017/S1368980012005009.

19.

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(3):e009892. https://doi.org/10.1136/bmjopen-2015-009892.CrossRefPubMedPubMedCentral

20.

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. https://doi.org/10.3945/ajcn.114.100925.CrossRefPubMedPubMedCentral

21.

Ludwig DS. Technology, diet, and the burden of chronic disease. JAMA. 2011;305(13):1352–3. https://doi.org/10.1001/jama.2011.380.CrossRefPubMed

22.

Fardet A, Rock E, Bassama J, Bohuon P, Prabhasankar P, Monteiro C, et al. Current food classifications in epidemiological studies do not enable solid nutritional recommendations for preventing diet-related chronic diseases: the impact of food processing. Adv Nutr. 2015;6(6):629–38. https://doi.org/10.3945/an.115.008789.CrossRefPubMedPubMedCentral

23.

Popkin BM. Relationship between shifts in food system dynamics and acceleration of the global nutrition transition. Nutr Rev. 2017;75(2):73–82. https://doi.org/10.1093/nutrit/nuw064.CrossRefPubMed

24.

Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25):2392–404. https://doi.org/10.1056/NEJMoa1014296.CrossRefPubMedPubMedCentral

25.

Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084–102. https://doi.org/10.3945/ajcn.113.058362.CrossRefPubMedPubMedCentral

26.

Hu FB. Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes Rev. 2013;14(8):606–19. https://doi.org/10.1111/obr.12040.CrossRefPubMedPubMedCentral

27.

Nago ES, Lachat CK, Dossa RA, Kolsteren PW. Association of out-of-home eating with anthropometric changes: a systematic review of prospective studies. Crit Rev Food Sci Nutr. 2014;54(9):1103–16. https://doi.org/10.1080/10408398.2011.627095.CrossRefPubMed

28.

Bertoia ML, Mukamal KJ, Cahill LE, Hou T, Ludwig DS, Mozaffarian D, et al. Changes in intake of fruits and vegetables and weight change in United States men and women followed for up to 24 years: analysis from three prospective cohort studies. PLoS Med. 2015;12(9):e1001878. https://doi.org/10.1371/journal.pmed.1001878.CrossRefPubMedPubMedCentral

29.

Williams PG, Grafenauer SJ, O'Shea JE. Cereal grains, legumes, and weight management: a comprehensive review of the scientific evidence. Nutr Rev. 2008;66(4):171–82. https://doi.org/10.1111/j.1753-4887.2008.00022.x.CrossRefPubMed

30.

Alinia S, Hels O, Tetens I. The potential association between fruit intake and body weight—a review. Obes Rev. 2009;10(6):639–47. https://doi.org/10.1111/j.1467-789X.2009.00582.x.CrossRefPubMed

31.

Summerbell CD, Douthwaite W, Whittaker V, Ells LJ, Hillier F, Smith S, et al. The association between diet and physical activity and subsequent excess weight gain and obesity assessed at 5 years of age or older: a systematic review of the epidemiological evidence. Int J Obes. 2009;33(Suppl 3):S1–92. https://doi.org/10.1038/ijo.2009.80.

32.

Martins AP, Levy RB, Claro RM, Moubarac JC, Monteiro CA. Increased contribution of ultra-processed food products in the Brazilian diet (1987–2009). Rev Saude Publica. 2013;47(4):656–65. https://doi.org/10.1590/S0034-8910.2013047004968.CrossRefPubMed

33.

Costa Louzada ML, Martins AP, Canella DS, Baraldi LG, Levy RB, Claro RM, et al. Ultra-processed foods and the nutritional dietary profile in Brazil. Rev Saude Publica. 2015;49:38. https://doi.org/10.1590/S0034-8910.2015049006132.PubMed

34.

Louzada ML, Martins AP, Canella DS, Baraldi LG, Levy RB, Claro RM, et al. Impact of ultra-processed foods on micronutrient content in the Brazilian diet. Rev Saude Publica. 2015;49:45. https://doi.org/10.1590/S0034-8910.2015049006211.PubMedPubMedCentral

35.

Bielemann RM, Motta JV, Minten GC, Horta BL, Gigante DP. Consumption of ultra-processed foods and their impact on the diet of young adults. Rev Saude Publica. 2015;49:28.PubMedPubMedCentral

36.

Cediel G, Reyes M, da Costa Louzada ML, Martinez Steele E, Monteiro CA, Corvalan C, et al. Ultra-processed foods and added sugars in the Chilean diet. Public Health Nutr. 2010;2017:1–9. https://doi.org/10.1017/S1368980017001161.

37.

Cornwell B, Villamor E, Mora-Plazas M, Marin C, Monteiro CA, Baylin A. Processed and ultra-processed foods are associated with lower-quality nutrient profiles in children from Colombia. Public Health Nutr. 2017:1–6. https://doi.org/10.1017/S1368980017000891.

38.

Setyowati D, Andarwulan N, Giriwono PE. Processed and ultraprocessed food consumption pattern in the Jakarta Individual Food Consumption Survey 2014. Asia Pac J Clin Nutr. 2017;27(4):1–15. https://doi.org/10.6133/apjcn.062017.01.

39.

Rischke R, Kimenju SC, Klasen S, Qaim M. Supermarkets and food consumption patterns: the case of small towns in Kenya. Food Policy. 2015;52:9–21.CrossRef

40.

Monteiro CA, Moubarac JC, Levy RB, Canella DS, Louzada M, Cannon G. Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr. 2017:1–9. https://doi.org/10.1017/S1368980017001379.

41.

Julia C, Martinez L, Alles B, Touvier M, Hercberg S, Mejean C, et al. Contribution of ultra-processed foods in the diet of adults from the French NutriNet-Sante study. Public Health Nutr. 2017:1–11. https://doi.org/10.1017/S1368980017001367.

42.

Solberg SL, Terragni L, Granheim SI. Ultra-processed food purchases in Norway: a quantitative study on a representative sample of food retailers. Public Health Nutr. 2016;19(11):1990–2001. https://doi.org/10.1017/S1368980015003523.CrossRefPubMed

43.

Djupegot IL, Nenseth CB, Bere E, Bjornara HBT, Helland SH, Overby NC, et al. The association between time scarcity, sociodemographic correlates and consumption of ultra-processed foods among parents in Norway: a cross-sectional study. BMC Public Health. 2017;17(1):447. https://doi.org/10.1186/s12889-017-4408-3.CrossRefPubMedPubMedCentral

44.

Juul F, Hemmingsson E. Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Public Health Nutr. 2015;18(17):3096–107. https://doi.org/10.1017/S1368980015000506.CrossRefPubMed

45.

O'Halloran SA, Lacy KE, Grimes CA, Woods J, Campbell KJ, Nowson CA. A novel processed food classification system applied to Australian food composition databases. J Hum Nutr Diet. 2017; https://doi.org/10.1111/jhn.12445.

46.

Venn D, Banwell C, Dixon J. Australia’s evolving food practices: a risky mix of continuity and change. Public Health Nutr. 2016:1–10. https://doi.org/10.1017/S136898001600255X.

47.

Luiten CM, Steenhuis IH, Eyles H, Ni Mhurchu C, Waterlander WE. 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. 2015:1–9. https://doi.org/10.1017/S1368980015002177.

48.

Poti JM, Mendez MA, Ng SW, Popkin BM. Highly processed and ready-to-eat packaged food and beverage purchases differ by race/ethnicity among US households. J Nutr. 2016;146(9):1722–30. https://doi.org/10.3945/jn.116.230441.CrossRefPubMedPubMedCentral

49.

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. Popul Health Metrics. 2017;15(1):6. https://doi.org/10.1186/s12963-017-0119-3.CrossRef

50.

Moubarac JC, Batal M, Martins AP, Claro R, Levy RB, Cannon G, et al. Processed and ultra-processed food products: consumption trends in Canada from 1938 to 2011. Can J Diet Pract Res. 2014;75(1):15–21.CrossRefPubMed

51.

Moubarac JC, Batal M, Louzada ML, Martinez Steele E, Monteiro CA. Consumption of ultra-processed foods predicts diet quality in Canada. Appetite. 2017;108:512–20. https://doi.org/10.1016/j.appet.2016.11.006.CrossRefPubMed

52.

• 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. https://doi.org/10.1186/s12966-015-0317-y. This cross-sectional study found that higher consumption of processed/ultra-processed food among adults in the UK was not associated with BMI or the likelihood of being overweight/obese or being obese. CrossRefPubMedPubMedCentral

53.

Asfaw A. Does consumption of processed foods explain disparities in the body weight of individuals? The case of Guatemala. Health Econ. 2011;20(2):184–95. https://doi.org/10.1002/hec.1579.CrossRefPubMed

54.

• Canella DS, Levy RB, Martins AP, Claro RM, Moubarac JC, Baraldi LG, et al. Ultra-processed food products and obesity in Brazilian households (2008–2009). PLoS One. 2014;9(3):e92752. https://doi.org/10.1371/journal.pone.0092752. This cross-sectional study found that, in a nationally representative sample of Brazilians, the prevalence of obesity was 3.7 percentage points higher among children and adults living in household strata in the highest compared with lowest quartile of ultra-processed food purchases. CrossRefPubMedPubMedCentral

55.

•• Louzada ML, Baraldi LG, Steele EM, Martins AP, Canella DS, Moubarac JC, et al. Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev Med. 2015;81:9–15. https://doi.org/10.1016/j.ypmed.2015.07.018. This cross-sectional study was the first to assess the relationship between ultra-processed food consumption and obesity using dietary intake rather than food purchases. In a nationally representative sample, Brazilians in the highest quintile of ultra-processed food consumption had 0.94 kg/m ² higher BMI and were 26% more likely to be obese compared with those in the lowest quintile. CrossRefPubMed

56.

•• Mendonca RD, Pimenta AM, Gea A, de la Fuente-Arrillaga C, Martinez-Gonzalez MA, Lopes AC, 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(5):1433–40. https://doi.org/10.3945/ajcn.116.135004. This investigation is the first prospective cohort to examine the association between ultra-processed food consumption and incident overweight/obesity. Highly educated middle-aged Spanish adults in the highest quartile of ultra-processed food intake at baseline had a 26% higher risk of developing overweight/obesity over a mean of 9 years of follow-up than those in the lowest quartile. CrossRefPubMed

57.

Tavares LF, Fonseca SC, Garcia Rosa ML, Yokoo EM. Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr. 2012;15(1):82–7. https://doi.org/10.1017/S1368980011001571.CrossRefPubMed

58.

•• Rauber F, Campagnolo PD, Hoffman DJ, Vitolo MR. Consumption of ultra-processed food products and its effects on children’s lipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis. 2015;25(1):116–22. https://doi.org/10.1016/j.numecd.2014.08.001. This study is the first prospective investigation to examine the association between ultra-processed food intake and changes in lipid profiles. Higher ultra-processed food intake among Brazilian preschoolers was associated with greater increases in total and LDL cholesterol between ages 3–4 and 7–8 years. CrossRefPubMed

59.

• Rinaldi AE, Gabriel GF, Moreto F, Corrente JE, KC ML, Burini RC. Dietary factors associated with metabolic syndrome and its components in overweight and obese Brazilian schoolchildren: a cross-sectional study. Diabetol Metab Syndr. 2016;8(1):58. https://doi.org/10.1186/s13098-016-0178-9. This cross-sectional examination found that higher processed industrialized food intake was associated with higher fasting glucose, but was not associated with waist circumference, blood pressure, HDL cholesterol, triglycerides, or metabolic syndrome among school-aged children with overweight/obesity in Brazil. CrossRefPubMedPubMedCentral

60.

• Lavigne-Robichaud M, Moubarac JC, Lantagne-Lopez S, Johnson-Down L, Batal M, Laouan Sidi EA et al. Diet quality indices in relation to metabolic syndrome in an Indigenous Cree (Eeyouch) population in northern Quebec, Canada. Public Health Nutr. 2017:1–9. doi:https://doi.org/10.1017/S136898001700115X. This cross-sectional study found that higher consumption of ultra-processed food was associated with increased likelihood of having metabolic syndrome among Eeyouch adults in Quebec, Canada.

61.

•• Mendonca RD, Lopes AC, Pimenta AM, Gea A, Martinez-Gonzalez MA, Bes-Rastrollo M. Ultra-processed food consumption and the incidence of hypertension in a Mediterranean cohort: the Seguimiento Universidad de Navarra Project. Am J Hypertens. 2017;30(4):358–66. https://doi.org/10.1093/ajh/hpw137. This paper presents the first prospective cohort study to evaluate the association between ultra-processed food consumption and risk of hypertension. Highly educated middle-aged Spanish adults in the highest tertile of ultra-processed food consumption had a 21% higher risk of developing hypertension over a mean of 9 years of follow-up compared with those in the lowest tertile. PubMed

62.

Perez-Escamilla R, Obbagy JE, Altman JM, Essery EV, McGrane MM, Wong YP, et al. Dietary energy density and body weight in adults and children: a systematic review. J Acad Nutr Diet. 2012;112(5):671–84. https://doi.org/10.1016/j.jand.2012.01.020.CrossRefPubMed

63.

Rouhani MH, Haghighatdoost F, Surkan PJ, Azadbakht L. Associations between dietary energy density and obesity: a systematic review and meta-analysis of observational studies. Nutrition. 2016;32(10):1037–47. https://doi.org/10.1016/j.nut.2016.03.017.CrossRefPubMed

64.

Hall KD. A review of the carbohydrate-insulin model of obesity. Eur J Clin Nutr. 2017;71(3):323–6. https://doi.org/10.1038/ejcn.2016.260.CrossRefPubMed

65.

Schulte EM, Avena NM, Gearhardt AN. Which foods may be addictive? The roles of processing, fat content, and glycemic load. PLoS One. 2015;10(2):e0117959. https://doi.org/10.1371/journal.pone.0117959.CrossRefPubMedPubMedCentral

66.

Carter A, Hendrikse J, Lee N, Yucel M, Verdejo-Garcia A, Andrews Z, et al. The neurobiology of “food addiction” and its implications for obesity treatment and policy. Annu Rev Nutr. 2016;36:105–28. https://doi.org/10.1146/annurev-nutr-071715-050909.CrossRefPubMed

67.

Steenhuis I, Poelman M. Portion size: latest developments and interventions. Curr Obes Rep. 2017;6(1):10–7. https://doi.org/10.1007/s13679-017-0239-x.CrossRefPubMedPubMedCentral

68.

Peter Herman C, Polivy J, Pliner P, Vartanian LR. Mechanisms underlying the portion-size effect. Physiol Behav. 2015;144:129–36. https://doi.org/10.1016/j.physbeh.2015.03.025.CrossRefPubMed

69.

Sadeghirad B, Duhaney T, Motaghipisheh S, Campbell NR, Johnston BC. Influence of unhealthy food and beverage marketing on children’s dietary intake and preference: a systematic review and meta-analysis of randomized trials. Obes Rev. 2016;17(10):945–59. https://doi.org/10.1111/obr.12445.CrossRefPubMed

70.

Boyland EJ, Nolan S, Kelly B, Tudur-Smith C, Jones A, Halford JC, 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(2):519–33. https://doi.org/10.3945/ajcn.115.120022.CrossRefPubMed

71.

Gearhardt AN, Davis C, Kuschner R, Brownell KD. The addiction potential of hyperpalatable foods. Curr Drug Abuse Rev. 2011;4(3):140–5.CrossRefPubMed

72.

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. 2016;7(5):2338–46. https://doi.org/10.1039/c6fo00107f.CrossRefPubMed

73.

Viskaal-van Dongen M, Kok FJ, de Graaf C. Eating rate of commonly consumed foods promotes food and energy intake. Appetite. 2011;56(1):25–31. https://doi.org/10.1016/j.appet.2010.11.141.CrossRefPubMed

74.

Robinson E, Almiron-Roig E, Rutters F, de Graaf C, Forde CG, Tudur Smith C, et al. A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger. Am J Clin Nutr. 2014;100(1):123–51. https://doi.org/10.3945/ajcn.113.081745.CrossRefPubMed

75.

Robinson E, Aveyard P, Daley A, Jolly K, Lewis A, Lycett D, et al. Eating attentively: a systematic review and meta-analysis of the effect of food intake memory and awareness on eating. Am J Clin Nutr. 2013;97(4):728–42. https://doi.org/10.3945/ajcn.112.045245.CrossRefPubMedPubMedCentral

76.

Monteiro C, Cannon G, Levy R, Moubarac J-C, Jaime P, Martins A, et al. NOVA the star shines bright. World Nutr. 2016;7(1–3):28–38.

77.

Mattei J, Malik V, Wedick NM, Hu FB, Spiegelman D, Willett WC, et al. Reducing the global burden of type 2 diabetes by improving the quality of staple foods: the Global Nutrition and Epidemiologic Transition Initiative. Glob Health. 2015;11:23. https://doi.org/10.1186/s12992-015-0109-9.CrossRef

78.

McClure ST, Appel LJ. Food processing and incident hypertension: causal relationship, confounding, or both? Am J Hypertens. 2017;30(4):348–9. https://doi.org/10.1093/ajh/hpw170.CrossRefPubMed

79.

Eicher-Miller HA, Fulgoni VL 3rd, 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(11):2065S–72S. https://doi.org/10.3945/jn.112.164442.CrossRefPubMedPubMedCentral

80.

Weaver CM, Dwyer J, Fulgoni VL 3rd, King JC, Leveille GA, MacDonald RS, et al. Processed foods: contributions to nutrition. Am J Clin Nutr. 2014;99(6):1525–42. https://doi.org/10.3945/ajcn.114.089284.CrossRefPubMed

81.

Botelho R, Araujo W, Pineli L. Food formulation and not processing level: conceptual divergences between public health and food science and technology sectors. Crit Rev Food Sci Nutr. 2016:1–12. https://doi.org/10.1080/10408398.2016.1209159.

82.

Wolfson JA, Bleich SN, Smith KC, Frattaroli S. What does cooking mean to you? Perceptions of cooking and factors related to cooking behavior. Appetite. 2016;97:146-54. https://doi.org/10.1016/j.appet.2015.11.030.

83.

Trattner C, Elsweiler D, Howard S. Estimating the healthiness of internet recipes: a cross-sectional study. Front Public Health. 2017;5:16. https://doi.org/10.3389/fpubh.2017.00016.CrossRefPubMedPubMedCentral

84.

Kretser A, Dunn C, DeVirgiliis R, Levine K. Utility of a new food value analysis application to evaluate trade-offs when making food selections. Nutr Today. 2014;49(4):185–95.CrossRef

85.

Schneider EP, McGovern EE, Lynch CL, Brown LS. Do food blogs serve as a source of nutritionally balanced recipes? An analysis of 6 popular food blogs. J Nutr Educ Behav. 2013;45(6):696–700. https://doi.org/10.1016/j.jneb.2013.07.002.CrossRefPubMed

86.

Howard S, Adams J, White M. Nutritional content of supermarket ready meals and recipes by television chefs in the United Kingdom: cross sectional study. BMJ. 2012;345:e7607. https://doi.org/10.1136/bmj.e7607.CrossRefPubMedPubMedCentral

87.

Mackay S, Vandevijvere S, Xie P, Lee A, Swinburn B. Paying for convenience: comparing the cost of takeaway meals with their healthier home-cooked counterparts in New Zealand. Public Health Nutr. 2017;20(13):2269–76. https://doi.org/10.1017/S1368980017000805.CrossRefPubMed

Title: Ultra-processed Food Intake and Obesity: What Really Matters for Health—Processing or Nutrient Content?
Authors: Jennifer M. Poti
Bianca Braga
Bo Qin
Publication date: 01-12-2017
Publisher: Springer US
Published in: Current Obesity Reports / Issue 4/2017
Electronic ISSN: 2162-4968
DOI: https://doi.org/10.1007/s13679-017-0285-4

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

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Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin

Prof. Florian Limbourg

Prof. Anoop Chauhan

Developed by: Springer Medicine

Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

2024 ASCO Annual Meeting

Springer Medicine

Abstract

Purpose of Review

Recent Findings

Summary

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Other articles of this Issue 4/2017

What Twin Studies Tell Us About Brain Responses to Food Cues

Food for Thought: Reward Mechanisms and Hedonic Overeating in Obesity

Dietary Patterns and Cardiovascular Disease Risk in People with Type 2 Diabetes

A New Understanding of Quality of Life in Children and Adolescents with Obesity: Contribution of the Self-determination Theory

Erratum to: Obesity in International Migrant Populations

Brown Adipose Tissue: an Update on Recent Findings

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

At a glance: The STEP trials