Association between intuitive eating and food intake in type 2 diabetes: a study based on the NOVA classification

Authors

DOI:

https://doi.org/10.12957/demetra.2021.57927

Keywords:

Eating Behavior. Intuitive Eating. Diabetes Mellitus. Food Processing. Food Classification. NOVA.

Abstract

This work aimed to evaluate the association between intuitive eating and dietary pattern, according to the NOVA classification, in a population with type 2 diabetes mellitus (T2DM). This was an observational cross-sectional study in patients at a university hospital in Vitória-ES, Brazil. For data collection, a semi-structured questionnaire was used, and food intake was assessed by the level of processing according to the NOVA classification. Intuitive eating was assessed by the Intuitive Eating Scale-2, and 179 individuals, mostly female and elderly, were evaluated. The chance of individuals consuming unprocessed or minimally processed foods was doubled in those participants who had dieted (OR=2.149; CI95%=1.142-4.045; p=0.018). In contrast, eating with unconditional permission reduced the chances of participants consuming this group of foods by 52.7% (OR=0.473; CI95%=0.235-0.952; p=0.036). Moreover, the chances of participants consuming ultra-processed foods was increased by 2.34 times in those having T2DM for more than 10 years (OR=2.344; CI95%=1.114-4.933; p=0.025). When assessing intuitive eating, it was observed that eating in congruence with bodily needs reduced the chances of the individual consuming ultra-processed foods by 45% (OR=0.547; CI95%=0.309-0.968; p=0.038). Therefore, the subscales of intuitive eating were associated differently with food intake according to the level of food processing in individuals with T2DM.

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Author Biography

Fabíola Lacerda Pires Soares, Universidade Federal do Espírito Santo

Departamento de Educação Integrada em Nutrição. Centro de Ciências da Saúde. Curso de Nutrição

References

Khan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends. J Epidemiol Glob Health. 2019;10:107.

Thanh Ha N, Thi Phuong N, Thi Thu Ha L, Ha Noi University of Public Health. No. 1A Duc Thang Ward, North Tu Liem, Ha Noi, Vietnam. How dietary intake of type 2 diabetes mellitus outpatients affects their fasting blood glucose levels? AIMS Public Health. 2019;6:424–36.

Forouhi NG, Misra A, Mohan V, Taylor R, Yancy W. Dietary and nutritional approaches for prevention and management of type 2 diabetes. BMJ. 2018;k2234.

Via MA, Mechanick JI. Nutrition in Type 2 Diabetes and the Metabolic Syndrome. Med Clin North Am. 2016;100:1285–302.

Naja F, Itani L, Nasrallah MP, Chami H, Tamim H, Nasreddine L. A healthy lifestyle pattern is associated with a metabolically healthy phenotype in overweight and obese adults: a cross-sectional study. Eur J Nutr [Internet]. 2019 [citado 13 de abril de 2020]; Disponível em: http://link.springer.com/10.1007/s00394-019-02063-9

Aguiar Sarmento R, Peçanha Antonio J, Lamas de Miranda I, Bellicanta Nicoletto B, Carnevale de Almeida J. Eating Patterns and Health Outcomes in Patients With Type 2 Diabetes. J Endocr Soc. 2018;2:42–52.

Wang D, Hawley NL, Thompson AA, Lameko V, Reupena MS, McGarvey ST, et al. Dietary Patterns Are Associated with Metabolic Outcomes among Adult Samoans in a Cross-Sectional Study. J Nutr. 2017;147:628–35.

Vitale M, Masulli M, Rivellese AA, Babini AC, Boemi M, Bonora E, et al. Influence of dietary fat and carbohydrates proportions on plasma lipids, glucose control and low-grade inflammation in patients with type 2 diabetes—The TOSCA.IT Study. Eur J Nutr. 2016;55:1645–51.

American Diabetes Association. Standards of Medical Care in Diabetes. Diabetes Care. 2019;42:S46–60.

Louzada ML da C, Ricardo CZ, Steele EM, Levy RB, Cannon G, Monteiro CA. The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 2018;21:94–102.

Monteiro CA, Levy RB, Claro RM, Castro IRR de, Cannon G. A new classification of foods based on the extent and purpose of their processing. Cad Saúde Pública. 2010;26:2039–49.

Monteiro CA, Cannon G, Levy R, Moubarac J-C, Jaime P, Martins AP, et al. NOVA. The star shines bright. World Nutr. 2016;7:28–38.

Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, et al. Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 2018;k322.

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

Mendonça R de D, Pimenta AM, Gea A, de la Fuente-Arrillaga C, Martinez-Gonzalez MA, Lopes ACS, 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;104:1433–40.

Srour B, Fezeu LK, Kesse-Guyot E, Allès B, Debras C, Druesne-Pecollo N, et al. Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort. JAMA Intern Med. 2020;180:283.

Tylka TL, Kroon Van Diest AM. The Intuitive Eating Scale–2: Item refinement and psychometric evaluation with college women and men. J Couns Psychol. 2013;60:137–53.

Carbonneau E, Carbonneau N, Lamarche B, Provencher V, Bégin C, Bradette-Laplante M, et al. Validation of a French-Canadian adaptation of the Intuitive Eating Scale-2 for the adult population. Appetite. 2016;105:37–45.

Soares FLP, Ramos MH, Gramelisch M, de Paula Pego Silva R, da Silva Batista J, Cattafesta M, et al. Intuitive eating is associated with glycemic control in type 2 diabetes. Eat Weight Disord - Stud Anorex Bulim Obes [Internet]. 2020 [citado 31 de março de 2020]; Disponível em: http://link.springer.com/10.1007/s40519-020-00894-8

ABEP. Critério Brasil 2015 e atualização da distribuição de classes para 2016 [Internet]. Associação Brasileira de Empresas de Pesquisa; 2016 [citado 3 de dezembro de 2019]. Disponível em: http://www.abep.org/

Duarte C, Gouveia JP, Mendes A. Psychometric Properties of the Intuitive Eating Scale -2 and Association with Binge Eating Symptoms in a Portuguese Community Sample. Int J Psychol Psychol Ther. 2016;16:329–41.

Ribeiro AC, Sávio KEO, Rodrigues M de LCF, Costa THM da, Schmitz B de AS. Validação de um questionário de freqüência de consumo alimentar para população adulta. Rev Nutr. 2006;19:553–62.

Cade J, Thompson R, Burley V, Warm D. Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutr. 2002;5:567–87.

Ministério da Saúde. Vigitel Brasil 2016 - Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico [Internet]. 2017 [citado 3 de dezembro de 2019]. Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2017_vigilancia_fatores_riscos.pdf

Brasil M da S. Resolução no 466, de 12 de dezembro de 2012 - sobre pesquisas envolvendo seres humanos. [Internet]. 2012 [citado 12 de outubro de 2016]. Disponível em: <http://conselho.saude.gov.br/resolucoes/2012/Reso466.pdf.>

Cattafesta M, Salaroli LB. Diets high in vegetables, fruits, cereals, and tubers as a protective factor for metabolic syndrome in bank employees. Diabetes Metab Syndr Obes Targets Ther. 2018;Volume 11:781–90.

Camilleri GM, Méjean C, Bellisle F, Andreeva VA, Kesse-Guyot E, Hercberg S, et al. Intuitive Eating Dimensions Were Differently Associated with Food Intake in the General Population–Based NutriNet-Santé Study. J Nutr. 2017;147:61–9.

Horwath C, Hagmann D, Hartmann C. Intuitive eating and food intake in men and women: Results from the Swiss food panel study. Appetite. 2019;135:61–71.

Barad A, Cartledge A, Gemmill K, Misner NM, Santiago CE, Yavelow M, et al. Associations Between Intuitive Eating Behaviors and Fruit and Vegetable Intake Among College Students. J Nutr Educ Behav. 2019;51:758–62.

Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2017-2018. Avaliação Nutricional da Disponibilidade Domiciliar de Alimentos no Brasil [Internet]. 2020 [citado 20 de abril de 2020]. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101704.pdf

Monteiro CA, Cannon G, Levy RB, Moubarac J-C, Louzada ML, Rauber F, et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019;22:936–41.

Ramos L, Ferreira EAP. Fatores emocionais, qualidade de vida e adesão ao tratamento em adultos com diabetes tipo 2. J Hum Growth Dev. 2011;21:867.

Published

2021-09-29

How to Cite

1.
Soares FLP, Ramos MH, Cattafesta M, Salaroli LB. Association between intuitive eating and food intake in type 2 diabetes: a study based on the NOVA classification. DEMETRA [Internet]. 2021 Sep. 29 [cited 2025 May 1];16:e57927. Available from: https://www.e-publicacoes.uerj.br/demetra/article/view/57927

Issue

Section

Basic and Experimental Nutrition

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