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Ultra-Processing or Oral Processing? A Role for Energy Density and Eating Rate in Moderating Energy Intake from Processed Foods

Ciarán G Forde, Monica Mars, Kees de Graaf

Current Developments in Nutrition · 2020 · CC BY-NC-ND

doi:10.1093/cdn/nzaa019 (opens in a new tab)

Abstract

BACKGROUND: Recent observational data and a controlled in-patient crossover feeding trial show that consumption of "ultra-processed foods" (UPFs), as defined by the NOVA classification system, is associated with higher energy intake, adiposity, and at a population level, higher prevalence of obesity. A drawback of the NOVA classification is the lack of evidence supporting a causal mechanism for why UPFs lead to overconsumption of energy. In a recent study by Hall the energy intake rate in the UPF condition (48 kcal/min) was >50% higher than in the unprocessed condition (31 kcal/min). Extensive empirical evidence has shown the impact that higher energy density has on increasing ad libitum energy intake and body weight. A significant body of research has shown that consuming foods at higher eating rates is related to higher energy intake and a higher prevalence of obesity. Energy density can be combined with eating rate to create a measure of energy intake rate (kcal/min), providing an index of a food's potential to promote increased energy intake. OBJECTIVE: The current paper compared the association between measured energy intake rate and level of processing as defined by the NOVA classification. METHODS: Data were pooled from 5 published studies that measured energy intake rates across a total sample of 327 foods. RESULTS: < 0.05). However, within each processing category there is wide variability in the energy intake rate. CONCLUSIONS: We conclude that reported relations between UPF consumption and obesity should account for differences in energy intake rates when comparing unprocessed and ultra-processed diets. Future research requires well-controlled human feeding trials to establish the causal mechanisms for why certain UPFs can promote higher energy intake.

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References 63

  1. 1.

    Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, Deschasaux M, Fassier P, Latino-Martel P, Beslay M Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 2018;360:k322.

    Not in our library10.1136/bmj.k322 (opens in a new tab)

  2. 2.

    Schnabel L, Kesse-Guyot E, Allès B, Touvier M, Srour B, Hercberg S, Buscail C, Julia C Association between ultraprocessed food consumption and risk of mortality among middle-aged adults in France. JAMA Intern Med. 2019;179(4):490–8.

    Not in our library10.1001/jamainternmed.2018.7289 (opens in a new tab)

  3. 3.

    Srour B, Fezeu LK, Kesse-Guyot E, Allès B, Méjean C, Andrianasolo RM, Chazelas E, Deschasaux M, Hercberg S, Galan P et al. Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ. 2019;365:l1451.

    Not in our library10.1136/bmj.l1451 (opens in a new tab)

  4. 4.

    Hall KD, Ayuketah A, Brychta R, Cai H, Cassimatis T, Chen KY, Chung ST, Costa E, Courville A, Darcey V et al. Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab. 2019 Jul 2;30(1):67–77.

    Not in our library10.1016/j.cmet.2019.05.008 (opens in a new tab)

  5. 5.

    Gibney MJ, Forde CG, Mullally D, Gibney ER Ultra-processed foods in human health: a critical appraisal. Am J Clin Nutr. 2017;106(3):717–24.

    Not in our library10.3945/ajcn.117.160440 (opens in a new tab)

  6. 6.

    Monteiro CA, Cannon G, Levy RB, Moubarac JC, Louzada ML, Rauber F, Khandpur N, Cediel G, Neri D, Martinez-Steele E et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019;22(5):936–41.

    Not in our library10.1017/s1368980018003762 (opens in a new tab)

  7. 7.

    Bell EA, Castellanos VH, Pelkman CL, Thorwart ML, Rolls BJ Energy density of foods affects energy intake in normal-weight women. Am J Clin Nutr. 1998;67(3):412–20.

    Not in our library10.1093/ajcn/67.3.412 (opens in a new tab)

  8. 8.

    Rolls BJ The relationship between dietary energy density and energy intake. Physiol Behav. 2009;97(5):609–15.

    Not in our library10.1016/j.physbeh.2009.03.011 (opens in a new tab)

  9. 9.

    Kral TV, Roe LS, Rolls BJ Combined effects of energy density and portion size on energy intake in women. Am J Clin Nutr. 2004;79(6):962–8.

    Not in our library10.1093/ajcn/79.6.962 (opens in a new tab)

  10. 10.

    Kling SM, Roe LS, Keller KL, Rolls BJ Double trouble: portion size and energy density combine to increase preschool children's lunch intake. Physiol Behav. 2016;162:18–26.

    Not in our library10.1016/j.physbeh.2016.02.019 (opens in a new tab)

  11. 11.

    Vernarelli JA, Mitchell DC, Rolls BJ, Hartman TJ Dietary energy density and obesity: how consumption patterns differ by body weight status. Eur J Nutr. 2018;57(1):351–61.

    Not in our library10.1007/s00394-016-1324-8 (opens in a new tab)

  12. 12.

    Smethers AD, Roe LS, Sanchez CE, Zuraikat FM, Keller KL, Rolls BJ Both increases and decreases in energy density lead to sustained changes in preschool children's energy intake over 5 days. Physiol Behav. 2019;204:210–18.

    Not in our library10.1016/j.physbeh.2019.02.042 (opens in a new tab)

  13. 13.

    Brunstrom JM, Drake AC, Forde CG, Rogers PJ Undervalued and ignored: are humans poorly adapted to energy-dense foods?. Appetite. 2018;120:589–95.

    Not in our library10.1016/j.appet.2017.10.015 (opens in a new tab)

  14. 14.

    Rolls BJ, Bell EA, Castellanos VH, Chow M, Pelkman CL, Thorwart ML Energy density but not fat content of foods affected energy intake in lean and obese women. Am J Clin Nutr. 1999;69(5):863–71.

    Not in our library10.1093/ajcn/69.5.863 (opens in a new tab)

  15. 15.

    De Wijk RA, Zijlstra N, Mars M, De Graaf C, Prinz JF The effects of food viscosity on bite size, bite effort and food intake. Physiol Behav. 2008;95(3):527–32.

    Not in our library10.1016/j.physbeh.2008.07.026 (opens in a new tab)

  16. 16.

    Hogenkamp PS, Stafleu A, Mars M, Brunstrom JM, de Graaf C Texture, not flavor, determines expected satiation of dairy products. Appetite. 2011;57(3):635–41.

    Not in our library10.1016/j.appet.2011.08.008 (opens in a new tab)

  17. 17.

    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.

    Not in our library10.1016/j.appet.2010.11.141 (opens in a new tab)

  18. 18.

    Forde CG, Bolhuis D, Thaler T, Graaf CD, Martin N Influence of meal texture on eating rate and food intake: results from three ad-libitum trials. Appetite. 2013;71:474.

    Not in our library

  19. 19.

    Forde CG, van Kuijk N, Thaler T, de Graaf C, Martin N Texture and savoury taste influences on food intake in a realistic hot lunch time meal. Appetite. 2013;60:180–6.

    Not in our library10.1016/j.appet.2012.10.002 (opens in a new tab)

  20. 20.

    Forde CG, van Kuijk N, Thaler T, de Graaf C, Martin N Oral processing characteristics of solid savoury meal components, and relationship with food composition, sensory attributes and expected satiation. Appetite. 2013;60(0):208–19.

    Not in our library10.1016/j.appet.2012.09.015 (opens in a new tab)

  21. 21.

    Bolhuis DP, Forde CG, Cheng Y, Xu H, Martin N, de Graaf C Slow food: sustained impact of harder foods on the reduction in energy intake over the course of the day. PLoS One. 2014;9(4):e93370.

    Not in our library10.1371/journal.pone.0093370 (opens in a new tab)

  22. 22.

    McCrickerd K, Lim CM, Leong C, Chia EM, Forde CG Texture-based differences in eating rate reduce the impact of increased energy density and large portions on meal size in adults. J Nutr. 2017;147(6):1208–17.

    Not in our library10.3945/jn.116.244251 (opens in a new tab)

  23. 23.

    Robinson E, Almiron-Roig E, Rutters F, de Graaf C, Forde CG, Tudur Smith C, Nolan SJ, Jebb SA 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.

    Not in our library10.3945/ajcn.113.081745 (opens in a new tab)

  24. 24.

    Mourao DM, Bressan J, Campbell WW, Mattes RD Effects of food form on appetite and energy intake in lean and obese young adults. Int J Obes. 2007;31(11):1688–95.

    Not in our library10.1038/sj.ijo.0803667 (opens in a new tab)

  25. 25.

    Forde C, Leong C, Chia-Ming E, McCrickerd K Fast or slow-foods? Describing natural variations in oral processing characteristics across a wide range of Asian foods. Food Function. 2017;8(2):595–606.

    Not in our library10.1039/c6fo01286h (opens in a new tab)

  26. 26.

    De Graaf C, Kok FJ Slow food, fast food and the control of food intake. Nat Rev Endocrinol. 2010;6(5):290–3.

    Not in our library10.1038/nrendo.2010.41 (opens in a new tab)

  27. 27.

    Forde CG. From perception to ingestion; the role of sensory properties in energy selection, eating behaviour and food intake. Food Qual Preference. 2018;66:171–7.

    Not in our library

  28. 28.

    Wee MSM, Goh AT, Stieger M, Forde CG Correlation of instrumental texture properties from textural profile analysis (TPA) with eating behaviours and macronutrient composition for a wide range of solid foods. Food Function. 2018;9(10):5301–12.

    Not in our library10.1039/c8fo00791h (opens in a new tab)

  29. 29.

    van den Boer JHW, Werts M, Siebelink E, de Graaf C, Mars M The availability of slow and fast foods in the Dutch diet: the current situation and opportunities for interventions. Foods. 2017;6(10):87.

    Not in our library10.3390/foods6100087 (opens in a new tab)

  30. 30.

    Ferriday D, Bosworth ML, Godinot N, Martin N, Forde CG, Van Den Heuvel E, Appleton SL, Mercer Moss FJ, Rogers PJ, Brunstrom JM Variation in the oral processing of everyday meals is associated with fullness and meal size; a potential nudge to reduce energy intake?. Nutrients. 2016;8(5):315.

    Not in our library10.3390/nu8050315 (opens in a new tab)

  31. 31.

    van Rossum CT, Fransen HP, Verkaik-Kloosterman J, Buurma-Rethans EJ, Ocke MC Dutch National Food Consumption Survey 2007–2010: diet of children and adults aged 7 to 69 years. Amsterdam, The Netherlands: National Institute for Public Health and the Environment; 2011.

    Not in our library

  32. 32.

    Steele EM, Juul F, Neri D, Rauber F, Monteiro CA Dietary share of ultra-processed foods and metabolic syndrome in the US adult population. Prev Med. 2019;125:40–8.

    Not in our library10.1016/j.ypmed.2019.05.004 (opens in a new tab)

  33. 33.

    Karl JP, Young AJ, Rood JC, Montain SJ Independent and combined effects of eating rate and energy density on energy intake, appetite, and gut hormones. Obesity. 2013;21(3):E244–52.

    Not in our library10.1002/oby.20075 (opens in a new tab)

  34. 34.

    Ohkuma T, Hirakawa Y, Nakamura U, Kiyohara Y, Kitazono T, Ninomiya T Association between eating rate and obesity: a systematic review and meta-analysis. Int J Obes. 2015;39:1589–96.

    Not in our library10.1038/ijo.2015.96 (opens in a new tab)

  35. 35.

    Teo PS, Forde CG The impact of eating rate on energy intake, body composition and health. In: Meiselman HL editor. Handbook of eating and drinking: interdisciplinary perspectives. Cham: Springer International Publishing; 2019, p. 1–27.

    Not in our library

  36. 36.
  37. 37.

    de Graaf C Texture and satiation: the role of oro-sensory exposure time. Physiol Behav. 2012;107(4):496–501.

    Not in our library10.1016/j.physbeh.2012.05.008 (opens in a new tab)

  38. 38.

    Bolhuis DP, Lakemond C, De Wijk R, Luning P, De Graaf C Both longer oral sensory exposure to and higher intensity of saltiness decrease ad libitum food intake in healthy normal-weight men. J Nutr. 2011;141(12):2242–8.

    Not in our library10.3945/jn.111.143867 (opens in a new tab)

  39. 39.
  40. 40.

    Zhu Y, Hsu WH, Hollis JH Increasing the number of masticatory cycles is associated with reduced appetite and altered postprandial plasma concentrations of gut hormones, insulin and glucose. Br J Nutr. 2013;110(2):384–90.

    Not in our library10.1017/s0007114512005053 (opens in a new tab)

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