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Review

Oral Processing, Satiation and Obesity: Overview and Hypotheses

Pages 3399-3415 | Published online: 26 Jul 2021

References

  • Global Panel on Agriculture and Food Systems for Nutrition. Food systems and diets: facing the challenges of the 21st century. London: Global Panel. Pan American Health Organization of the World Health; 2016. Available from: http://glopan.org/sites/default/files/ForesightReport.pdf. Accessed 7 19, 2021.
  • Bambs C , Cerda J , Escalonac A . Morbid obesity in a developing country: the Chilean experience. Bull World Health Organ . 2008;86:813–814. doi:10.2471/BLT.07.048785 18949219
  • Zhang Y-X , Chu Z-H , Li S-Y , Zhao J-S , Zhou J-Y . Trends in the prevalence of morbid obesity among children and adolescents in Shandong, China, 1995–2014. J Trop Pediatr . 2018;64:60–66. doi:10.1093/tropej/fmx030 28419373
  • Sadoul BC , Schuring EA , Mela DJ , Peters HP . The relationship between appetite scores and subsequent energy intake: an analysis based on 23 randomized controlled studies. Appetite . 2014;83:153–159. doi:10.1016/j.appet.2014.08.016 25149199
  • Farooq M , Sazonov E . Automatic measurement of chew count and chewing rate during food intake. Electronics (Basel) . 2016;5(4). doi:10.3390/electronics5040062
  • McCrickerd K , Forde CG . Consistency of eating rate, oral processing behaviours and energy intake across meals. Nutrients . 2017;9(8):891. doi:10.3390/nu9080891
  • Forde CG , van Kuijk N , Thaler T , de Graaf C , Martin N . Oral processing characteristics of sold savoury meal components, and relationship with food composition, sensory attributes and expected satiation. Appetite . 2013;60:208–219. doi:10.1016/j.appet.2012.09.015 23017464
  • Doulah A , Yang X , Parton J , Higgins JA , McCrory MA , Sazonov E . The importance of field experiments in testing of sensors for dietary assessment and eating behavior monitoring. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2018:5759–5762. doi: 10.1109/EMBC.2018.8513623.
  • Zijlstra N , Bukman AJ , Mars M , Stafleu A , Ruijschop RM , de Graaf C . Eating behaviour and retro-nasal aroma release in normal-weight and overweight adults: a pilot study. Br J Nutr . 2011;106:297–306. doi:10.1017/S0007114511000146 21385504
  • Hill SW , McCutcheon NB . Contributions of obesity, gender, hunger, food preference, and body size to bite size, bite speed, and rate of eating. Appetite . 1984;5:73–83. doi:10.1016/S0195-6663(84)80026-4 6517569
  • Kissileff HR , Thornton J , Becker E . A quadratic equation adequately describes the cumulative food intake curve in man. Appetite . 1982;3:255–272. doi:10.1016/S0195-6663(82)80022-6 7159076
  • Barkeling B , Rössner S , Sjöberg A . Methodological studies on single meal food intake characteristics in normal weight and obese men and women. Int J Obes Relat Metab Disord . 1995;19:284–290.7627254
  • Laessle RG , Lehrke S , Dückers S . Laboratory eating behavior in obesity. Appetite . 2007;49:399–404. doi:10.1016/j.appet.2006.11.010 17391805
  • Cecil JE , Francis J , Read NW . Relative contributions of intestinal, gastric, oro-sensory influences and information to changes in appetite induced by the same liquid meal. Appetite . 1998;31:377–390. doi:10.1006/appe.1998.0177 9920689
  • French SJ , Cecil JE . Oral, gastric and intestinal influences on human feeding. Physiol Behav . 2001;74:729–734. doi:10.1016/S0031-9384(01)00617-5 11790436
  • Cecil JE , Francis J , Read NW . Comparison of the effects of a high-fat and high-carbohydrate soup delivered orally and intragastrically on gastric emptying, appetite, and eating behavior. Physiol Behav . 1999;67:299–306. doi:10.1016/S0031-9384(99)00069-4 10477062
  • Robinson E , Almiron-Roig E , Rutters F , et al. A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger. Am J Clin Nutr . 2014;100:123–151. doi:10.3945/ajcn.113.081745 24847856
  • Krop EM , Hetherington MM , Nekitsing C , Miquel S , Postelnicu L , Sarkar A . Influence of oral processing on appetite and food intake - a systematic review and meta-analysis. Appetite . 2018;125:253–269. doi:10.1016/j.appet.2018.01.018 29408331
  • Miquel-Kergoat S , Azais-Braesco V , Burton-Freeman B , Hetherington NM . Effects of chewing on appetite, food intake and gut hormones: a systematic review and meta-analysis. Physiol Behav . 2015;151:88–96. doi:10.1016/j.physbeh.2015.07.017 26188140
  • Hameed S , Dhillo WS , Bloom SR . Gut hormones and appetite control. Oral Dis . 2009;15:18–26. doi:10.1111/j.1601-0825.2008.01492.x 18939959
  • Kokkinos A , le Roux CW , Alexiadou K , et al. Eating slowly increases the postprandial response of the anorexigenic gut hormones, peptide YY and glucagon-like peptide-1. J Clin Endocrinol Metab . 2010;95:333–337. doi:10.1210/jc.2009-1018 19875483
  • Rigamonti AE , Agosti F , Compri E , et al. Anorexigenic postprandial responses of PYY and GLP1 to slow ice cream consumption: preservation in obese adolescents, but not in obese adults. Eur J Endocrinol . 2013;168:429–436. doi:10.1530/EJE-12-0867 23239758
  • 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;110:384–390. doi:10.1017/S0007114512005053 23181989
  • Cassady BA , Hollis JH , Fulford AD , Considine RV , Mattes RD . Mastication of almonds: effects of lipid bioaccessibility, appetite, and hormone response. Am J Clin Nutr . 2009;89:794–800. doi:10.3945/ajcn.2008.26669 19144727
  • Hawton K , Ferriday D , Rogers P , et al. Slow down: behavioural and physiological effects of reducing eating rate. Nutrients . 2018;11(1):50. doi:10.3390/nu11010050
  • Alsalim W , Ahren B . Insulin and incretin hormone responses to rapid versus slow ingestion of a standardized solid breakfast in healthy subjects. Endocrinol Diabetes Metab . 2019;2(2):e00056. doi:10.1002/edm2.56 31008364
  • Shah M , Crisp K , Adams-Huet B , et al. The effect of eating speed at breakfast on appetite hormone responses and daily food consumption. J Invest Med . 2015;63:22–28. doi:10.1097/JIM.0000000000000119
  • 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 (Lond) . 2015;39:1589–1596. doi:10.1038/ijo.2015.96 26100137
  • Leong SL , Madden C , Gray A , Waters D , Horwath C . Faster self-reported speed of eating is related to higher body mass index in a nationwide survey of middle-aged women. J Am Diet Assoc . 2011;111:1192–1197. doi:10.1016/j.jada.2011.05.012 21802566
  • Liu S , Zhang J , Ma J , et al. Synergistic interaction between bedtime and eating speed in predicting overweight and obesity in Chinese preschool-aged children. Aging . 2019;11:2127–2137. doi:10.18632/aging.101906 30978174
  • Lin M , Pan L , Tang L , Jiang J , Wang Y , Jin R . Association of eating speed and energy intake of main meals with overweight in Chinese pre-school children. Public Health Nutr . 2014;17:2029–2036. doi:10.1017/S1368980013002176 23953989
  • Zhang T , Cai L , Ma L , Jing J , Chen Y , Ma J . The prevalence of obesity and influence of early life and behavioral factors on obesity in Chinese children in Guangzhou. BMC Public Health . 2016;16:954. doi:10.1186/s12889-016-3599-3 27613102
  • Zeng X , Cai L , Ma J , Ma Y , Jing J , Chen Y . Eating fast is positively associated with general and abdominal obesity among Chinese children: a national survey. Sci Rep . 2018;8:14362. doi:10.1038/s41598-018-32498-9 30254301
  • Ochiai H , Shirasawa T , Ohtsu T , et al. Eating behaviors and overweight among adolescents: a population-based survey in Japan. J Obes . 2013:717942. doi:10.1155/2013/717942 23956845
  • Ochiai H , Shirasawa T , Ohtsu T , et al. The impact of eating quickly on anthropometric variables among schoolgirls: a prospective cohort study in Japan. Eur J Public Health . 2014;24:691–695. doi:10.1093/eurpub/ckt120 23981896
  • Yamagishi K , Sairenchi T , Sawada N , et al. Impact of speed-eating habit on subsequent body mass index and blood pressure among school children - the Ibaraki Children’s Cohort Study (IBACHIL). Circ J . 2018;82:419–422. doi:10.1253/circj.CJ-17-0287 28883216
  • Ochiai H , Shirasawa T , Nanri H , Nishimura R , Hoshino H , Kokaze A . Relationship between eating quickly and overweight: a Cohort Study of school children in Japan. Acta Med Okayama . 2018;72:121–128. doi:10.18926/AMO/55852 29674760
  • Yamane M , Ekuni D , Mizutani S , et al. Relationships between eating quickly and weight gain in Japanese university students a longitudinal study. Obesity . 2014;22:2262–2266. doi:10.1002/oby.20842 25044853
  • Tanihara S , Imatoh T , Miyazaki M , et al. Retrospective longitudinal study on the relationship between 8-year weight change and current eating speed. Appetite . 2011;57:179–183. doi:10.1016/j.appet.2011.04.017 21565235
  • Hamada Y , Miyaji A , Hayashi Y , Matsumoto N , Nishiwaki M , Hayashi N . Objective and subjective eating speeds are related to body composition and shape in female college students. J Nutr Sci Vitaminol . 2017;63:174–179. doi:10.3177/jnsv.63.174 28757531
  • Sun Y , Sekine M , Kagamimori S . Lifestyle and overweight among Japanese adolescents: the Toyama Birth Cohort Study. J Epidemiol . 2009;19:303–310. doi:10.2188/jea.JE20080095 19776497
  • Fogel A , Goh AT , Fries LR , et al. 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 . 2017;117:1042–1051. doi:10.1017/S0007114517000848 28462734
  • Wagner M , Hewitt MI . Oral satiety in the obese and nonobese. J Am Diet Assoc . 1975;67:344–346.1159256
  • Mattfeld RS , Muth ER , Hoover A . Measuring the consumption of individual solid and liquid bites using a table-embedded scale during unrestricted eating. IEEE J Biomed Health Inform . 2017;21:1711–1718. doi:10.1109/JBHI.2016.2632621 27898385
  • Zijlstra N , de Wijk RA , Mars M , Stafleu A , De Graaf C . Effect of bite size and oral processing time of a semisolid food on satiation. Am J Clin Nutr . 2009;90:269–275. doi:10.3945/ajcn.2009.27694 19515731
  • Weijzen PLG , Smeets PAM , de Graaf C . Sip size of orangeade: effects on intake and sensory-specific satiation. Br J Nutr . 2009;102:1091–1097. doi:10.1017/S000711450932574X 19356272
  • Forde CG , Fogel A , McCrickerd K . Children’s eating behaviors and energy intake: overlapping influences and opportunities for intervention. Nestle Nutr Inst Workshop Ser . 2019;91:55–67. doi:10.1159/000493695 30865959
  • Goto T , Nakamich A , Watanabe M , Nagao K , Matsuyama M , Ichikawa T . Influence of food volume per mouthful on chewing and bolus properties. Physiol Behav . 2015;141:58–62. doi:10.1016/j.physbeh.2015.01.007 25582518
  • Berkowitz RI , Moore RH , Faith MS , Stallings VA , Kral TV , Stunkard AJ . Identification of an obese eating style in 4-year-old children born at high and low risk for obesity. Obesity (Silver Spring) . 2010;18:505–512. doi:10.1038/oby.2009.299 19779474
  • Llewellyn CH , van Jaarsveld CH , Boniface D , Carnell S , Wardle J . Eating rate is a heritable phenotype related to weight in children. Am J Clin Nutr . 2008;88:1560–1566. doi:10.3945/ajcn.2008.26175 19064516
  • Toyama K , Zhao X , Kuranuki S , et al. The effect of fast eating on the thermic effect of food in young Japanese women. Int J Food Sci Nutr . 2015;66:140–147. doi:10.3109/09637486.2014.986069 25609562
  • Komai N , Motokubota N , Suzuki M , Hayashi I , Mortani T , Nagai N . Thorough mastication prior to swallowing increases postprandial satiety and the thermic effect of a meal in young women. J Nutr Sci Vitaminol (Tokyo) . 2016;62:288–294. doi:10.3177/jnsv.62.288 27928114
  • Levine J , Baukol P , Pavlidis I . The energy expended in chewing gum. N Engl J Med . 1999;341:2100. doi:10.1056/NEJM199912303412718 10627208
  • Brondel L , Fricker J , Fantinol M . Postprandial thermogenesis and alimentary sensory stimulation in human subjects. Int J Obes . 1999;23:34–40. doi:10.1038/sj.ijo.0800754
  • Granata GP , Brandon LJ . The thermic effect of food and obesity: discrepant results and methodological variations. Nutr Rev . 2002;60:223–233. doi:10.1301/002966402320289359 12199298
  • de Jonge L , Bray GA . The thermic effect of food and obesity: a critical review. Obes Res . 1997;5:622–631. doi:10.1002/j.1550-8528.1997.tb00584.x 9449148
  • McCrickerd K , Forde CG . Sensory influences on food intake control: moving beyond palatability. Obes Rev . 2016;17:18–29. doi:10.1111/obr.12340 26662879
  • de Graaf C , Kok FJ . Slow food, fast food and the control of food intake. Nat Rev Endocrinol . 2010;6:290–293. doi:10.1038/nrendo.2010.41 20351697
  • Zijlstra N , Mars M , de Wijk RA , Westerterp-Plantenga MS , de Graaf C . The effect of viscosity on ad libitum food intake. Int J Obes (Lond) . 2008;32:676–683. doi:10.1038/sj.ijo.0803776 18071342
  • 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;60:180–186. doi:10.1016/j.appet.2012.10.002 23085683
  • Lasschuijt MP , Mars M , Stieger M , Miquel-Kergoat S , de Graaf C , Smeets PAM . Comparison of oro-sensory exposure duration and intensity manipulations on satiation. Physiol Behav . 2017;176:76–83. doi:10.1016/j.physbeh.2017.02.003 28174138
  • 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;9:1–7. doi:10.1371/journal.pone.0093370
  • Mosca AC , Torres AP , Slob E , de Graaf K , McEwan JA , Stieger M . Small food texture modications can be used to change oral processing behavior and to control ad libitum food intake. Appetite . 2019;142:104375. doi:10.1016/j.appet.2019.104375 31326437
  • Larsen DS , Tang J , Ferguson LR , James BJ . Increased textural complexity in food enhances satiation. Appetite . 2016;105:189–194. doi:10.1016/j.appet.2016.05.029 27235823
  • Bolhuis DP , Lakemond CM , de Wijk RA , Luning PA , 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;141:2242–2248. doi:10.3945/jn.111.143867 22049294
  • van den Boer J , Werts M , Siebelink E , De graaf C , Mars M . The availability of slow and fast calories in the Dutch diet: the current situation and opportunities for interventions. Foods . 2017;6(10):87. doi:10.3390/foods6100087
  • Martínez 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. doi:10.1136/bmjopen-2015-009892
  • Monteiro CA , Cannon G , Levy RB , et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr . 2019;22:936–941. doi:10.1017/S1368980018003762 30744710
  • Gibney MJ , Forde CG , Mullally D , Gibney ER . Ultra-processed foods in human health: a critical appraisal. Am J Clin Nutr . 2017;106:717–724.28793996
  • 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. doi:10.1016/j.ypmed.2015.07.018 26231112
  • Monteiro CA , Moubarac JC , Levy RB , Canella DS , Louzada MLDC , Cannon G . Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr . 2018;21:18–26. doi:10.1017/S1368980017001379 28714422
  • Cannon G , Levy R , Moubarac J-C , et al. Food classification. Public Health-NOVA. The star shines bright. World Nutr . 2016;7:23–38.
  • 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. doi:10.1186/s12966-015-0317-y 26684833
  • Mendonca 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;104:1433–1440. doi:10.3945/ajcn.116.135004 27733404
  • 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;7:2338–2346. doi:10.1039/c6fo00107f 27125637
  • Young LR , Nestle M . The contribution of expanding sizes to the US obesity epidemic. Am J Public Health . 2002;92:246–249. doi:10.2105/AJPH.92.2.246 11818300
  • Smiciklas-Wright H , Mitchell DC , Mickle SJ , Goldman JD , Cook A . Foods commonly eaten in the United States, 1989–1991 and 1994–1996. Are portion sizes changing? J Am Diet Assoc . 2003;103:41–44. doi:10.1053/jada.2003.50000 12525792
  • Kaji I , Karaki S , Kuwahara A . Short-chain fatty acid receptor and its contribution to glucagon-like peptide-1 release. Digestion . 2014;89(1):31–36. doi:10.1159/000356211 24458110
  • Slyper AH . A paradigm shift for the prevention and treatment of individual and global obesity. Diabetes Metab Syndr Obes . 2018;11:855–861. doi:10.2147/DMSO.S183777 30568473
  • Edwin E , Martínez L , Maira R , Campos S . Effect of ultra-processed diet on gut microbiota and thus its role in neurodegenerative diseases. Nutrition . 2020;71:1100609. doi:10.1016/j.nut.2019.110609
  • Forde CG , Mars M , de Graaf K . Ultra-processing or oral processing? A role for energy density and eating rate in moderating energy intake from processed foods. Curr Dev Nutr . 2020;4:nzaa019. doi:10.1093/cdn/nzaa019 32110771
  • Gupta S , Hawk T , Aggarwal A , Drewnowski A . Characterizing ultra-processed foods by energy density, nutrient density, and cost. Front Nutr . 2019;6:70. doi:10.3389/fnut.2019.00070 31231655
  • Rolls BJ , Bell EA , Castellanos VH , Chow M , Pelkman CI , Thorwart ML . Energy density but not fat content of foods affected energy intake in lean and obese women. Am J Clin Nutr . 1999;69:863–871. doi:10.1093/ajcn/69.5.863 10232624
  • Leahy KF , Birch LL , Rolls BJ . Reducing the energy density of an entrée decreases children’s energy intake at lunch. J Am Diet Assoc . 2008;108:41–48. doi:10.1016/j.jada.2007.10.015 18155988
  • Blatt AD , Roe LS , Rolls BJ . Hidden vegetables: an effective strategy to reduce energy intake and increase vegetable intake in adults. Am J Clin Nutr . 2011;93:756–763. doi:10.3945/ajcn.110.009332 21289225
  • 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;204:210–218. doi:10.1016/j.physbeh.2019.02.042 30831180
  • Rolls BJ , Cunningham PM , Diktas HE . Properties of ultraprocessed foods that can drive excess intake. Nutr Today . 2020;55:109–115. doi:10.1097/NT.0000000000000410
  • Hall KD , Ayuketah A , Brychta R , 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;30:67–77.e3. doi:10.1016/j.cmet.2019.05.008 31105044
  • Slyper AH , Shenker J , Israel A . A questionnaire-based assessment of hunger, speed of eating and food intake in children with obesity. Diabetes Metab Syndr Obes . 2021;14:59–66. doi:10.2147/DMSO.S286291 33447065
  • Slyper AH , Kopfer K , Huang W-M , Re’em Y . Increased hunger and speed of eating in obese children and adolescents. J Pediatr Endocrinol Metab . 2014;27:413–417. doi:10.1515/jpem-2013-0271 24361771
  • Gibbons C , Hopkins M , Beaulieu K , Oustric P , Blundell JE . Issues in measuring and interpreting human appetite (satiety/satiation) and its contribution to obesity. Curr Obes Rep . 2019;8:77–87. Review. doi:10.1007/s13679-019-00340-6 31037612
  • 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. doi:10.1371/journal.pone.0117959 25692302
  • Lennerz B , Lennerz JK . Food addiction, high glycemic carbohydrates and obesity. Clin Chem . 2018;64:64–71. doi:10.1373/clinchem.2017.273532 29158252
  • Ivezaj V , Wiedemann AA , Grilo CM . Food addiction and bariatric surgery: a systemic review of the literature. Obes Rev . 2017;18:1386–1397. doi:10.1111/obr.12600 28948684
  • Pepino MY , Stein RI , Eagon JC , Klein S . Bariatric surgery-induced weight loss causes remission of food addiction in extreme obesity. Obesity . 2014;22:1792–1798. doi:10.1002/oby.20797 24852693
  • Sevincer GM , Konuk N , Bozkurt S , Coskun H . Food addiction and the outcome of bariatric surgery at 1-year: prospective observational study. Psychiatry Res . 2016;244:159–164. doi:10.1016/j.psychres.2016.07.022 27479107
  • Almiron-Roig E , Tsiountsioura M , Lewis HB , Wu J , Solis-Trapala I , Jebb SA . Large portion sizes increase bite size and eating rate in overweight women. Physiol Behav . 2015;139:297–302. doi:10.1016/j.physbeh.2014.11.041 25449410
  • Hutch CR , Sandoval D . The role of GLP-1 in the metabolic success of bariatric surgery. Endocrinology . 2017;158:4139–4151. doi:10.1210/en.2017-00564 29040429
  • Salehi M , D’Alessio DA . Mechanisms of surgical control of type 2 diabetes: GLP-1 is the key factor – maybe. Surg Obes Relat Dis . 2016;12:1230–1235. doi:10.1016/j.soard.2016.05.008 27568473
  • Magouliotis DE , Tasiopoulou VS , Sioka E , Chatedaki C , Zacharoulis D . Impact of bariatric surgery on metabolic and gut microbiota profile: a systemic review and meta-analysis. Obes Surg . 2017;27:1345–1357. doi:10.1007/s11695-017-2595-8 28265960
  • Spiegel TA , Kaplan JM , Tomassini A , Stellar E . Bite size, ingestion rate, and meal size in lean and obese women. Appetite . 1993;21:131–145. doi:10.1016/0195-6663(93)90005-5 8285651
  • Jasper PW , James MT , Hoover AW , Muth ER . Effects of bite count feedback from a wearable device and goal setting on consumption in young adults. J Acad Nutr Diet . 2016;116:1785–1793. doi:10.1016/j.jand.2016.05.004 27346460
  • Martin CK , Anton SD , Walden H , Arnett C , Greenway FL , Williamson DA . Slower eating rate reduces the food intake of men, but not women: implications for behavioral weight control. Behav Res Ther . 2007;45:2349–2359. doi:10.1016/j.brat.2007.03.016 17517367
  • Faith MS , Diewald LK , Crabbe S , Burgess B , Berkowitz RI . Reduced eating pace (RePace) behavioral intervention for children prone to or with obesity: does the Turtle Win the Race? Obesity (Silver Spring) . 2019;27:121–129. doi:10.1002/oby.22329 30515992
  • Ford AL , Bergh C , Södersten P , et al. Treatment of childhood obesity by retraining eating behaviour: randomised controlled trial. BMJ . 2009;340:b5388. doi:10.1136/bmj.b5388 20051465
  • Galhardo J , Hunt LP , Lightman SL , et al. Normalizing eating behavior reduces body weight and improves gastrointestinal hormonal secretion in obese adolescents. J Clin Endocrinol Metab . 2012;97:E193–201. doi:10.1210/jc.2011-1999 22162463
  • Julian Hamilton-Shield J , Goodred J , Powell L , et al. Changing eating behaviours to treat childhood obesity in the community using Mandolean: the Community Mandolean randomised controlled trial (ComMando)–a pilot study. Health Technol Assess . 2014;18(47):i–xxiii, 1–75. doi:10.3310/hta18470
  • Yannakoulia M , Aggelopoulou D , Skenderi K , Koinaki S , Yiannakouris N . A Mediterranean-like breakfast affects energy intake and appetite-related feelings. Int J Food Sci Nutr . 2014;65:899–902. doi:10.3109/09637486.2014.931359 25010358