Impact of advanced and basic carbohydrate counting methods on metabolic control in patients with type 1 diabetes
Abstract
Objective Diets based on carbohydrate counting remain a key strategy for improving glycemic control in patients with type 1 diabetes. However, these diets may promote weight gain because of the flexibility in food choices. The aim of this study was to compare carbohydrate counting methods regarding anthropometric, biochemical, and dietary variables in individuals with type 1 diabetes, as well as to evaluate their knowledge about nutrition. Methods Participants were allocated in basic or advanced groups. After 3 mo of the nutritional counseling, dietary intake, anthropometric variables, lipemia, and glycemic control were compared between groups. A questionnaire regarding carbohydrate counting, sucrose intake, nutritional knowledge, and diabetes and nutrition taboos also was administered. Results Ten (30%) participants had already used advanced carbohydrate counting before the nutritional counseling and these individuals had a higher body mass index (BMI) (P 90% with both methods). Conclusions Advanced carbohydrate counting did not affect lipemic and glycemic control in individuals with type 1 diabetes, however, it may increase food intake, and consequently the BMI and WC, when compared to basic carbohydrate counting. Furthermore, carbohydrate counting promoted greater food flexibility.
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Randomized controlled trials in adults with type 1 diabetes have shown that carbohydrate counting can improve glycemic control, quality of life, and general well-being without increases in severe hypoglycemic events, body weight, or blood lipids.
“carbohydrate counting can improve glycemic control, quality of life, and general well-being”
From ESPEN guideline on hospital nutrition (2021) · cites this paper as [172]
Cites
Mattes, R. D., & Popkin, B. M. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26792 · Cited by 521 · see citing works
Position of the Academy of Nutrition and Dietetics: use of nutritive and nonnutritive sweeteners
Fitch, C., & Keim, K. S. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.03.009 · Cited by 373 · see citing works
Rabasa-Lhoret, R., Garon, J., Langelier, H., Poisson, D., & Chiasson, J. L. (1999) · Diabetes Care · doi:10.2337/diacare.22.5.667 · Cited by 210 · see citing works
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Functional Foods and Lifestyle Approaches for Diabetes Prevention and Management
Alkhatib, A., Tsang, C., Tiss, A., Bahorun, T., Arefanian, H., Barake, R., Khadir, A., & Tuomilehto, J. (2017) · Nutrients · doi:10.3390/nu9121310 · Cited by 376 · see citing works
“Healthy meal plans such as the MD can also be individualized and tailored to match diabetics’ needs and requirements based on understanding the behavioral barriers and facilitators to MD, such as food availability in local markets [136,137], and reported affordability”
BackgroundESPEN guideline on hospital nutrition
Thibault, R., Abbasoglu, O., Ioannou, E., Meija, L., Ottens-Oussoren, K., Pichard, C., Rothenberg, E., Rubin, D., Siljamäki-Ojansuu, U., Vaillant, M.-F., et al. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.09.039 · Cited by 259 · see citing works
Fortin, A., Rabasa-Lhoret, R., Roy-Fleming, A., Desjardins, K., Brazeau, A., Ladouceur, M., & Gingras, V. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.02.022 · Cited by 40 · see citing works
Foltynski, P., Ladyzynski, P., Pankowska, E., & Mazurczak, K. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12641 · Cited by 24 · see citing works
The Impact of Using Carbohydrate Counting on Managing Diabetic Patients: A Review
Ibrahim, S., Shahat, E. A., Amer, L., & Aljohani, A. (2023) · Cureus · doi:10.7759/cureus.48998 · Cited by 21 · see citing works
“On the other hand, nutrition treatment is critical in the management of diabetes, and meal-planning strategies for T1DM place a strong emphasis on the relationship between meal insulin dosage selection and the expected amount of carbs consumed [31].”
BackgroundAssessing Carbohydrate Counting Accuracy: Current Limitations and Future Directions
Amorim, D., Miranda, F., Santos, A., Graça, L., Rodrigues, J., Rocha, M., Pereira, M. A. G., Sousa, C., Felgueiras, P., & Abreu, C. (2024) · Nutrients · doi:10.3390/nu16142183 · Cited by 19 · see citing works
“Souto et al., in [41], studied a group of 33 T1DM patients to compare the impact of BCC and ACC regarding anthropometric, biochemical, and dietary variables.”
BackgroundAlBabtain, S. A., Alafif, N. O., Aldisi, D. A., & ALZAHRANI, S. H. (2023) · Healthcare · doi:10.3390/healthcare11070934 · Cited by 14 · see citing works
“However, others have challenged this finding by showing that CHOC was associated with weight gain [36].”
BackgroundResultPapakonstantinou, E., Papavasiliou, K., Maouri, C., Magriplis, E., Pappas, S. I., Bousboulas, S., Koutsovasilis, A., Pappas, M., Sotiropoulos, A., & Kontogianni, M. D. (2019) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.03.002 · Cited by 10 · see citing works
Efficacy of bolus insulin calculation by a mobile-based bolus advisor: An open label clinical trial
Siavash, M., Taherian, M., & Khorasgani, M. A. (2015) · Journal of Research in Medical Sciences · doi:10.4103/1735-1995.172817 · Cited by 9 · see citing works
“[13,14] In fact, in this method, what the patient wants to eat is defined, and how much insulin he/she should inject to cover what has been eaten.”
MethodRigby, K., Iturbe, I., Candler, T., Anderson, R., Hamilton-Shield, J., & Hinton, E. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112068 · Cited by 6 · see citing works
Alassaf, A., Gharaibeh, L., Ibrahim, S., Alkhalaileh, S., & Odeh, R. (2023) · Pediatric Diabetes · doi:10.1155/2023/7258136 · Cited by 6 · see citing works
“Our education program did not have signifcant efect on the incidence of severe hypoglycemia that required admission during the frst 2 years after diagnosis, similar to other studies which showed no signifcant efect on the incidence of hypoglycemia, and no efect on glycemic control as well [35].”
Gokosmanoglu, F., & Onmez, A. (2018) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2018.256 · Cited by 6 · see citing works
Iorio, A. D. D., Beltrán, D. O., Rico, J. A. Q., & Carratalá-Munuera, M. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2020.577797 · Cited by 5 · see citing works
Souto, D., Dantas, J., Oliveira, M. M. D. S., Rosado, E., Luiz, R., Zajdenverg, L., & Rodacki, M. (2018) · Nutrition (Burbank, Los Angeles County, Calif.) · doi:10.1016/j.nut.2018.05.009 · Cited by 5 · see citing works
Self-citationEwers, B., Blond, M. B., Bruun, J. M., & Vilsbøll, T. (2024) · Nutrients · doi:10.3390/nu16213745 · Cited by 4 · see citing works
Carbohydrate Counting: A Bibliometric Analysis with a Focus on Research
Kavcar, S. Y., Köse, G., Karaca-Çelik, K. E., Çelik, A., & Baş, M. (2024) · Nutrients · doi:10.3390/nu16193249 · Cited by 4 · see citing works
Grönberg, A., & Carlsson, P. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13309 · Cited by 4 · see citing works
“35,36 Carbohydrate rich meals covered by high insulin doses leads to hyperinsulinization that could increase appetite.”
Della-Corte, T., Gentile, S., Blasi, V. D., Guarino, G., Corigliano, M., Cozzolino, G., Fasolino, A., Martino, C., Improta, M., Oliva, D., et al. (2020) · Diabetes & metabolic syndrome · doi:10.1016/j.dsx.2020.03.003 · Cited by 4 · see citing works
Grönberg, A., & Swenne, I. (2016) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2016-000209 · Cited by 4 · see citing works
Rohilla, L., Gujjar, N., Gupta, K., & Dayal, D. (2025) · Journal of Diabetology · doi:10.4103/jod.jod_39_25 · Cited by 2 · see citing works
Builes-Montaño, C., Lema-Pérez, L., Alvarez, H., & Garcia-Tirado, J. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.11.057 · Cited by 1 · see citing works
Ounaissa, K., Madhbouh, M., Mahjoub, F., Amor, N. B., Abdesselem, H., Lahmar, I., Gammoudi, A., Amrouche, C., & Kamoun, H. J. (2024) · La Tunisie medicale · doi:10.62438/tunismed.v102i4.4629
FATORES ASSOCIADOS AO CONTROLE GLICÊMICO EM PACIENTES PORTADORES DE DIABETES MELLITUS TIPO 1
Guzatti, P. R., Balthazar, A. P., Canalli, M. H., & Machado, T. F. (2017) · Arquivos Catarinenses de Medicina · doi:10.63845/5yfv5976
- Authors
- Souto, D. L., Zajdenverg, L., Rodacki, M., & Rosado, E. L.
- Affiliations
- Universidade Federal do Rio de Janeiro (BR)
- Venue
- Nutrition
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 30
- Issue
- 3
- Pages
- 286-290
- ISSN
- 0899-9007 (ISSN-L)
- OpenAlex
- W2090130890
- Cited by
- 30
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 6 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 4 · 2016: 1 · 2015: 1 · 2014: 1
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 1 diabetes, carbohydrate counting, glycemic control, nutrition counseling, body mass index, waist circumference, dietary fat intake, nutrition knowledge, weight gain, lipemia
- MeSH terms
- Adolescent, Adult, Blood Glucose, Energy Intake, Counseling, Diabetes Mellitus, Type 1, Diet, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Female, Follow-Up Studies, Humans, Cholesterol, HDL, Cholesterol, LDL, Male, Nutritional Status, Surveys and Questionnaires, Diet Records, Body Mass Index, Waist Circumference, Young Adult, Nutritionists
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