CoChat
Sign Up
Cited by 178

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

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

Forde, Ciarán G, Mars, Monica, de Graaf, Kees·2020·Current Developments in Nutrition
DOI 10.1093/cdn/nzaa019PMC PMC7042610
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/cdn/nzaa019

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 11 references

Research works printed but not linked: 47

  1. Srour, 2019, Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé), BMJ., 365, l1451, 10.1136/bmj.l1451 · DOI · Paper page
  2. Gibney, 2017, Ultra-processed foods in human health: a critical appraisal, Am J Clin Nutr., 106, 717, 10.3945/ajcn.117.160440 · DOI
  3. Bell, 1998, Energy density of foods affects energy intake in normal-weight women, Am J Clin Nutr., 67, 412, 10.1093/ajcn/67.3.412 · DOI
  4. Rolls, 2009, The relationship between dietary energy density and energy intake, Physiol Behav., 97, 609, 10.1016/j.physbeh.2009.03.011 · DOI · Paper page
  5. Kral, 2004, Combined effects of energy density and portion size on energy intake in women, Am J Clin Nutr., 79, 962, 10.1093/ajcn/79.6.962 · DOI
  6. Kling, 2016, Double trouble: portion size and energy density combine to increase preschool children’s lunch intake, Physiol Behav., 162, 18, 10.1016/j.physbeh.2016.02.019 · DOI
  7. Vernarelli, 2018, Dietary energy density and obesity: how consumption patterns differ by body weight status, Eur J Nutr., 57, 351, 10.1007/s00394-016-1324-8 · DOI
  8. Smethers, 2019, Both increases and decreases in energy density lead to sustained changes in preschool children’s energy intake over 5 days, Physiol Behav., 204, 210, 10.1016/j.physbeh.2019.02.042 · DOI
  9. Brunstrom, 2018, Undervalued and ignored: are humans poorly adapted to energy-dense foods?, Appetite., 120, 589, 10.1016/j.appet.2017.10.015 · DOI
  10. Rolls, 1999, Energy density but not fat content of foods affected energy intake in lean and obese women, Am J Clin Nutr., 69, 863, 10.1093/ajcn/69.5.863 · DOI
  11. De Wijk, 2008, The effects of food viscosity on bite size, bite effort and food intake, Physiol Behav., 95, 527, 10.1016/j.physbeh.2008.07.026 · DOI
  12. Hogenkamp, 2011, Texture, not flavor, determines expected satiation of dairy products, Appetite., 57, 635, 10.1016/j.appet.2011.08.008 · DOI
  13. Viskaal-van Dongen, 2011, Eating rate of commonly consumed foods promotes food and energy intake, Appetite., 56, 25, 10.1016/j.appet.2010.11.141 · DOI
  14. Forde, 2013, Influence of meal texture on eating rate and food intake: results from three ad-libitum trials, Appetite., 71, 474, 10.1016/j.appet.2013.06.023 · DOI
  15. Forde, 2013, Texture and savoury taste influences on food intake in a realistic hot lunch time meal, Appetite., 60, 180, 10.1016/j.appet.2012.10.002 · DOI · Paper page
  16. Forde, 2013, Oral processing characteristics of solid savoury meal components, and relationship with food composition, sensory attributes and expected satiation, Appetite., 60, 208, 10.1016/j.appet.2012.09.015 · DOI
  17. Bolhuis, 2014, Slow food: sustained impact of harder foods on the reduction in energy intake over the course of the day, PLoS One., 9, e93370, 10.1371/journal.pone.0093370 · DOI
  18. McCrickerd, 2017, Texture-based differences in eating rate reduce the impact of increased energy density and large portions on meal size in adults, J Nutr., 147, 1208, 10.3945/jn.116.244251 · DOI · Paper page
  19. Robinson, 2014, A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger, Am J Clin Nutr., 100, 123, 10.3945/ajcn.113.081745 · DOI · Paper page
  20. Mourao, 2007, Effects of food form on appetite and energy intake in lean and obese young adults, Int J Obes., 31, 1688, 10.1038/sj.ijo.0803667 · DOI
  21. Forde, 2017, Fast or slow-foods? Describing natural variations in oral processing characteristics across a wide range of Asian foods, Food Function., 8, 595, 10.1039/C6FO01286H · DOI
  22. Wee, 2018, 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., 9, 5301, 10.1039/C8FO00791H · DOI
  23. van den Boer, 2017, The availability of slow and fast foods in the Dutch diet: the current situation and opportunities for interventions, Foods., 6, 87, 10.3390/foods6100087 · DOI
  24. Ferriday, 2016, Variation in the oral processing of everyday meals is associated with fullness and meal size; a potential nudge to reduce energy intake?, Nutrients., 8, 315, 10.3390/nu8050315 · DOI
  25. Steele, 2019, Dietary share of ultra-processed foods and metabolic syndrome in the US adult population, Prev Med., 125, 40, 10.1016/j.ypmed.2019.05.004 · DOI
  26. Karl, 2013, Independent and combined effects of eating rate and energy density on energy intake, appetite, and gut hormones, Obesity., 21, E244, 10.1002/oby.20075 · DOI
  27. Ohkuma, 2015, Association between eating rate and obesity: a systematic review and meta-analysis, Int J Obes., 39, 1589, 10.1038/ijo.2015.96 · DOI
  28. van den Boer, 2017, Self-reported eating rate is associated with weight status in a Dutch population: a validation study and a cross-sectional study, Int J Behav Nutr Phys Act., 14, 121, 10.1186/s12966-017-0580-1 · DOI
  29. de Graaf, 2012, Texture and satiation: the role of oro-sensory exposure time, Physiol Behav., 107, 496, 10.1016/j.physbeh.2012.05.008 · DOI
  30. Bolhuis, 2011, Both longer oral sensory exposure to and higher intensity of saltiness decrease ad libitum food intake in healthy normal-weight men, J Nutr., 141, 2242, 10.3945/jn.111.143867 · DOI
  31. Zhu, 2013, 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., 110, 384, 10.1017/S0007114512005053 · DOI
  32. Zijlstra, 2009, Effect of bite size and oral processing time of a semisolid food on satiation, Am J Clin Nutr., 90, 269, 10.3945/ajcn.2009.27694 · DOI
  33. Zijlstra, 2009, Effect of viscosity on appetite and gastro-intestinal hormones, Physiol Behav., 97, 68, 10.1016/j.physbeh.2009.02.001 · DOI
  34. Weijzen, 2008, Sensory specific satiety and intake: the difference between nibble- and bar-size snacks, Appetite., 50, 435, 10.1016/j.appet.2007.09.008 · DOI
  35. Llewellyn, 2008, Eating rate is a heritable phenotype related to weight in children, Am J Clin Nutr., 88, 1560, 10.3945/ajcn.2008.26175 · DOI
  36. Berkowitz, 2010, Identification of an obese eating style in 4-year-old children born at high and low risk for obesity, Obesity., 18, 505, 10.1038/oby.2009.299 · DOI
  37. Fogel, 2018, Oral processing behaviours that promote children’s energy intake are associated with parent-reported appetitive traits: results from the GUSTO cohort, Appetite., 126, 8, 10.1016/j.appet.2018.03.011 · DOI
  38. Fogel, 2017, A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: results from the GUSTO cohort, Physiol Behav., 176, 107, 10.1016/j.physbeh.2017.02.013 · DOI
  39. Fogel, 2017, Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4.5-year-old children: results from the growing up in Singapore towards healthy outcomes (GUSTO) cohort, Br J Nutr., 117, 1042, 10.1017/S0007114517000848 · DOI
  40. McCrickerd, 2017, Consistency of eating rate, oral processing behaviours and energy intake across meals, Nutrients., 9, 891, 10.3390/nu9080891 · DOI
  41. Hermsen, 2019, Effects of eating with an augmented fork with vibrotactile feedback on eating rate and body weight: a randomized controlled trial, Int J Behav Nutr Phys Act., 16, 90, 10.1186/s12966-019-0857-7 · DOI
  42. Carmody, 2011, Energetic consequences of thermal and nonthermal food processing, Proc Natl Acad Sci., 108, 19199, 10.1073/pnas.1112128108 · DOI
  43. Rolls, 2017, Dietary energy density: applying behavioural science to weight management, Nutr Bull., 42, 246, 10.1111/nbu.12280 · DOI · Paper page
  44. Aguayo-Mendoza, 2019, Oral processing behavior of drinkable, spoonable and chewable foods is primarily determined by rheological and mechanical food properties, Food Qual Preference., 71, 87, 10.1016/j.foodqual.2018.06.006 · DOI
  45. Van Boekel, 2010, A review on the beneficial aspects of food processing, Mol Nutr Food Res., 54, 1215, 10.1002/mnfr.200900608 · DOI
  46. Gustafson, 2016, Seven food system metrics of sustainable nutrition security, Sustainability., 8, 196, 10.3390/su8030196 · DOI
  47. McCrickerd, 2016, Sensory influences on food intake control: moving beyond palatability, Obes Rev., 17, 18, 10.1111/obr.12340 · DOI

Cited by

Sorted by citations

See all 178

Metadata

Authors
Forde, C. G., Mars, M., & de Graaf, K.
ORCID
Venue
Current Developments in Nutrition
Publisher
Elsevier BV
Published
2020-03
Volume
4
Issue
3
Pages
nzaa019
ISSN
2475-2991
DOI
10.1093/cdn/nzaa019
PMC
PMC7042610
Cited by
178
References
11
Language
en
Licence
Funders
Biomedical Science Institute (H/18/01/a0/B11)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review