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Journal articles on the topic 'Carbohydrate counting'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Hwang, Wonsun. "Carbohydrate Counting." Korean Clinical Diabetes 10, no. 2 (2009): 104. http://dx.doi.org/10.4093/kcd.2009.10.2.104.

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Wilbanks, Sandy. "Carbohydrate Counting." Journal for Nurse Practitioners 8, no. 3 (2012): 252. http://dx.doi.org/10.1016/j.nurpra.2012.01.014.

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Wilbanks, Sandy. "Carbohydrate Counting." Journal for Nurse Practitioners 8, no. 4 (2012): 339. http://dx.doi.org/10.1016/j.nurpra.2012.02.022.

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4

Gomes, Jacqueline. "Carbohydrate counting basics." Insulin 3, no. 2 (2008): 117–18. http://dx.doi.org/10.1016/s1557-0843(08)80024-3.

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5

Sunni, Muna, Carol Brunzell, Jennifer Kyllo, Loren Purcell, Phillip Plager, and Antoinette Moran. "A picture-based carbohydrate-counting resource for Somalis." Journal of International Medical Research 46, no. 1 (2017): 219–24. http://dx.doi.org/10.1177/0300060517718732.

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Objective Carbohydrate counting is essential for effective management of type 1 diabetes (T1D). Somali diet-specific carbohydrate-counting references are lacking, creating an additional barrier to effective diabetes control. We developed a picture-based carbohydrate-counting resource for Somalis with T1D. Methods Traditional Somali foods were selected using a variety of methods. Serving sizes and carbohydrate calculations were tabulated using the United States Department of Agriculture National Nutrient Database for Standard Reference. Carbohydrate contents of home-prepared foods were calculat

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Choi, Joshua S., Darren Ma, Julian A. Wolfson, Jean F. Wyman, Terrence J. Adam, and Helen N. Fu. "Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes." CIN: Computers, Informatics, Nursing 41, no. 12 (2023): 1026–36. http://dx.doi.org/10.1097/cin.0000000000001073.

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To examine whether psychosocial needs in diabetes care are associated with carbohydrate counting and if carbohydrate counting is associated with satisfaction with diabetes applications' usability, a randomized crossover trial of 92 adults with type 1 or 2 diabetes requiring insulin therapy tested two top-rated diabetes applications, mySugr and OnTrack Diabetes. Survey responses on demographics, psychosocial needs (perceived competence, autonomy, and connectivity), carbohydrate-counting frequency, and application satisfaction were modeled using mixed-effect linear regressions to test associatio

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7

Butler, Sarah. "Introduction to Carbohydrate Counting." NASN School Nurse 26, no. 4 (2011): 257–59. http://dx.doi.org/10.1177/1942602x11409756.

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8

Davis, N. J., and J. Wylie-Rosett. "Death to Carbohydrate Counting?" Diabetes Care 31, no. 7 (2008): 1467–68. http://dx.doi.org/10.2337/dc08-0807.

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9

Alfonsi, Jeffrey E., Elizabeth E. Y. Choi, Taha Arshad, et al. "Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial." JMIR mHealth and uHealth 8, no. 10 (2020): e22074. http://dx.doi.org/10.2196/22074.

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Background Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management. iSpy is a novel mobile app that leverages machine learning to allow food identification through images and that was designed to assist youth with type 1 diabetes in counting carbohydrates. Objective Our objective was to test the app's usability and potential impact on carbohydrate counting accuracy. Methods Iterative usability testing (3 cycles) was conducted involving a total of 16 individuals aged 8.5-17.0

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Cresswell, Pip, Jeremy Krebs, Jean Gilmour, Aoife Hanna, and Amber Parry-Strong. "From 'pleasure to chemistry': the experience of carbohydrate counting with and without carbohydrate restriction for people with Type 1 diabetes." Journal of Primary Health Care 7, no. 4 (2015): 291. http://dx.doi.org/10.1071/hc15291.

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INTRODUCTION: Matching carbohydrate intake with insulin dosage is recommended management for people with Type 1 diabetes. However, international interest in restricted carbohydrate diets is growing. General practitioners and practice nurses need to know how to advise people with Type 1 diabetes regarding low-carbohydrate diets. This study aimed to explore the carbohydrate counting experiences of people with Type 1 diabetes in a trial with and without a diet restricted to 75 g of carbohydrate per day. METHODS: Eight participants were interviewed by focus group or interview 12 weeks after a carb

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Kurniawati, Hanifa, Nur Rahman, and Rany Adelina. "EFFECT OF CARBOHYDRATE COUNTING ON HBA1C, BMI, AND LDL IN TYPE 1 DIABETES MELLITUS PATIENTS: LITERATURE REVIEW." Jurnal Teknologi Pangan dan Gizi 21, no. 2 (2022): 94–102. https://doi.org/10.33508/jtpg.v21i2.3812.

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Proper management of type 1 diabetes mellitus can maintain the optimal quality of life of patients. Carbohydrate counting is a method of nutritional intervention that is more flexible and has been widely used by patients with diabetes mellitus as glycemic control. This study aims to investigate the effect of the carbohydrate counting method on HbA1c, BMI, and LDL in patients with type 1 diabetes mellitus. Systemic Mapping Study (Scoping Study) was used in this study as a literature study. The included criteria were met in a total of 10 types of literature, most of which were cross-sectional st

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12

Yilmaz Kavcar, Simge, Gizem Köse, Kezban Esen Karaca Çelik, Aslı Çelik, and Murat Baş. "Carbohydrate Counting: A Bibliometric Analysis with a Focus on Research." Nutrients 16, no. 19 (2024): 3249. http://dx.doi.org/10.3390/nu16193249.

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Diabetes is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion, activity, or both. Carbohydrate counting, known for optimal metabolic control, plays in the therapeutic strategy in diabetes. In the last decade, an increasing amount of research has been conducted on carbohydrate counting, and the literature on this topic has been published in academic journals. This bibliometric analysis aimed to comprehensively review and analyze publications from this period, shedding light on trends, developments, and key contributors. The Expanded Science Citation Index publ

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13

Beck, Connie M. "Make carbohydrate counting add up." Nursing 44, no. 9 (2014): 64. http://dx.doi.org/10.1097/01.nurse.0000453008.25395.31.

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14

Middleton, C., and V. Meyers. "Carbohydrate Counting – A Practical Application." Journal of the American Dietetic Association 98, no. 9 (1998): A95. http://dx.doi.org/10.1016/s0002-8223(98)00653-1.

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15

Kim, Mi Ra. "Medical Nutrition Therapy Using Carbohydrate Counting." Journal of Korean Diabetes 23, no. 2 (2022): 133–37. http://dx.doi.org/10.4093/jkd.2022.23.2.133.

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Improved postprandial glucose management requires careful monitoring of carbohydrate counting and consideration of the blood glucose response to dietary carbohydrate. Furthermore, learning how to use insulin-to-carbohydrate ratios for meal planning might help people successfully adjust insulin dose from meal to meal to enhance glycemic control. Regular education to raise knowledge of the link between carbohydrate intake and insulin requirements is critical for those whose meal schedules or carbohydrate consumption are unpredictable. Medical nutrition therapy is an important part of total diabe

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16

Gokosmanoglu, Feyzi, and Attila Onmez. "Influence of Flexible Insulin Dosing with Carbohydrate Counting Method on Metabolic and Clinical Parameters in Type 1 Diabetes Patients." Open Access Macedonian Journal of Medical Sciences 6, no. 8 (2018): 1431–34. http://dx.doi.org/10.3889/oamjms.2018.256.

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Objective: The purpose of providing and maintaining a proper metabolic control is to prevent the development of chronic complications. In this study, we aimed to determine the influence of flexible insulin dosing with carbohydrate counting method on metabolic and clinical parameters in type 1 diabetes patients.Material and Method: This study was conducted with patients following up at the Endocrinology Clinic with a diagnosis of type 1 diabetes mellitus between 2012 and 2015. Metabolic and clinical parameters before and after carbohydrate counting were compared.Results: Forty patients were inc

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Ranasinghe, Priyanga, Vidarsha Rajini Senadeera, Rashmi Senarathna, Uththara Sapurnika, Vindhya Ramanayake, and Ranil Jayawardena. "The Association between the Parents’ Knowledge of Carbohydrate Counting and the Glycaemic Control of the Children with Type 1 Diabetes." International Journal of Pediatrics 2018 (June 19, 2018): 1–7. http://dx.doi.org/10.1155/2018/1036214.

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Background. Medical nutritional therapy is an important component of type 1 diabetes (T1D) care in children and carbohydrate counting is one such method. We aimed to evaluate the knowledge of carbohydrate counting among parents of children with T1D from Sri Lanka and study its association with the child’s glycaemic control. Methods. A descriptive cross-sectional study was conducted among parents of children with T1D. HbA1c measurement was used to assess glycaemic control. Knowledge of parent regarding carbohydrate counting was assessed based on a 24-hour dietary recall. Carbohydrate counting k

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18

GABRIEL, Beatriz Diniz, Cristiano Tulio ALBUQUERQUE, Marcella Lobato Dias CONSOLI, Patrícia Amaral Fulgêncio da Cunha MENEZES, and Janice Sepúlveda REIS. "Training adolescents with type 1 diabetes to carbohydrate counting without parents' help." Revista de Nutrição 29, no. 1 (2016): 77–84. http://dx.doi.org/10.1590/1678-98652016000100008.

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ABSTRACT Objective: To develop and evaluate the effectiveness of a nutrition education program to enable adolescents with type 1 diabetes to count carbohydrates without the parents' help. Methods: Nineteen adolescents with type 1 diabetes from a diabetes center participated in four fortnightly meetings of one hour, with lectures and discussions about healthy nutrition, importance of nutrients for blood glucose, portion sizes, food replacements, and carbohydrate counting therapy. All meetings ended with exercises to check the learning. Adolescents were followed for one year after the interventi

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19

Meade, Lisa T., and Wanda E. Rushton. "Accuracy of Carbohydrate Counting in Adults." Clinical Diabetes 34, no. 3 (2016): 142–47. http://dx.doi.org/10.2337/diaclin.34.3.142.

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20

MELISH, JOHN S. "974-P: Beyond Carbohydrate Counting (CC)." Diabetes 68, Supplement 1 (2019): 974—P. http://dx.doi.org/10.2337/db19-974-p.

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21

ARCEMENT, PEGGY S. "Carbohydrate Counting in Diabetes Meal Planning." Home Healthcare Nurse: The Journal for the Home Care and Hospice Professional 17, no. 7 (1999): 425–28. http://dx.doi.org/10.1097/00004045-199907000-00006.

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22

Reiterer, Florian, and Guido Freckmann. "Advanced carbohydrate counting: An engineering perspective." Annual Reviews in Control 48 (2019): 401–22. http://dx.doi.org/10.1016/j.arcontrol.2019.06.003.

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23

Davis, Dianne L., and Rebecca Pratt Gregory. "Carbohydrate counting alternative in glucose control." Journal of the American Dietetic Association 93, no. 10 (1993): 1104. http://dx.doi.org/10.1016/0002-8223(93)92747-l.

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24

Elise, Robart, Giovannini-Chami Lisa, Savoldelli Charles, et al. "Variation of carbohydrate intake in diabetic children on carbohydrate counting." Diabetes Research and Clinical Practice 150 (April 2019): 227–35. http://dx.doi.org/10.1016/j.diabres.2019.03.010.

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25

Ewers, Bettina, Tina Vilsbøll, Henrik Ullits Andersen, and Jens Meldgaard Bruun. "The dietary education trial in carbohydrate counting (DIET-CARB Study): study protocol for a randomised, parallel, open-label, intervention study comparing different approaches to dietary self-management in patients with type 1 diabetes." BMJ Open 9, no. 9 (2019): e029859. http://dx.doi.org/10.1136/bmjopen-2019-029859.

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IntroductionClinical guidelines recommend that patients with type 1 diabetes (T1D) learn carbohydrate counting or similar methods to improve glycaemic control. Although systematic educating in carbohydrate counting is still not offered as standard-of-care for all patients on multiple daily injections (MDI) insulin therapy in outpatient diabetes clinics in Denmark. This may be due to the lack of evidence as to which educational methods are the most effective for training patients in carbohydrate counting. The objective of this study is to compare the effect of two different educational programm

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26

Lee, Hae I., Ahreum Kwon, Myeongseob Lee, et al. "PSUN200 Effect of carbohydrate counting education in children and adolescents with type I diabetes." Journal of the Endocrine Society 6, Supplement_1 (2022): A379. http://dx.doi.org/10.1210/jendso/bvac150.789.

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Abstract Background The achievement and maintenance of normoglycemia is one of the most important goals to prevent both short and long-term complications in type 1 diabetes mellitus (T1DM). As carbohydrate acts as the primary macronutrient affecting postprandial glycemic response, carbohydrate counting is crucial in adjusting prandial insulin doses to preserve postprandial blood glucose within normal limits. The purpose of this study is to evaluate the effect of carbohydrate counting education in children and adolescents with T1DM. Method: A retrospective chart review of 128 diagnosed T1DM pat

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27

Faillace, Ana Lucia Rocha, and Maria Auxiliadora Menezes de Souza. "Illustrated eating plan as a strategy for adherence to carbohydrate counting in patients with diabetes mellitus." Concilium 24, no. 19 (2024): 440–54. http://dx.doi.org/10.53660/clm-4228-24u11.

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The carbohydrate counting method is an effective meal planning tool used in diabetes mellitus (DM) patients that focuses on carbohydrates as the main nutrient that affects the glycemic response. Therefore, this study aims to develop a nutritional therapy with carbohydrate counting, providing the inclusion of patients with DM on insulin therapy. This is a clinical-longitudinal and descriptive study, carried out on patients diagnosed with insulin-dependent type 1 or 2 DM, treated at a reference university hospital, in Belém/Pará. It was found that there was a reduction in weight and BMI until th

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Mongiello, Lorraine Laccetti. "Carbohydrate Counting Primer for Primary Care Providers." Physician Assistant Clinics 7, no. 4 (2022): 655–63. http://dx.doi.org/10.1016/j.cpha.2022.06.007.

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29

GILLESPIE, SANDRA J., KARMEEN D. KULKARNI, and ANNE E. DALY. "Using Carbohydrate Counting in Diabetes Clinical Practice." Journal of the American Dietetic Association 98, no. 8 (1998): 897–905. http://dx.doi.org/10.1016/s0002-8223(98)00206-5.

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30

Wiyono, Lowilius, Nida Ghitha, Dina Clarisa, and Anjani Larasati. "Carbohydrate counting implementation on pediatric type 1 diabetes mellitus: systematic review and meta-analysis." Annals of Pediatric Endocrinology & Metabolism 28, no. 3 (2023): 206–14. http://dx.doi.org/10.6065/apem.2244242.121.

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Purpose: Type 1 diabetes mellitus, which is the most common type of diabetes among children, is not curable but can be managed well without a negative effect on quality of life. One of the treatments of type 1 diabetes mellitus is carbohydrate counting. This systematic review and meta-analysis sought to evaluate the efficacy of carbohydrate counting with regard to hemoglobin A1c (HbA1c) reduction in children with type 1 diabetes mellitus.Methods: Nine studies were assessed, with the primary outcome being glycemic control (HbA1c changes). We searched the following electronic databases: ProQuest

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31

Stechova, Katerina, Jan Hlubik, Pavlina Pithova, Petr Cikl, and Lenka Lhotska. "Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing." Nutrients 11, no. 5 (2019): 1148. http://dx.doi.org/10.3390/nu11051148.

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Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patie

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32

Diah, Mohd Idris, Tee Hwee Ching, Ho Jin Hui, N. Farhanah Md Fozi, and Beh Woan Pyn. "IMPACT OF ADVANCED CARBOHYDRATE COUNTING INTENSIVE PROGRAM IN TYPE 1 DIABETES THROUGH WHATSAPP-BASED MONITORING." Journal of the ASEAN Federation of Endocrine Societies 39, S1 (2024): 38. https://doi.org/10.15605/jafes.039.s1.059.

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INTRODUCTION/BACKGROUND Advanced carbohydrate counting is a meal planning method that allows better flexibility and glycaemic control. However, adopting and maintaining this nutritional therapy for long-term effectiveness can be highly challenging for individuals with type 1 diabetes (T1D). METHODOLOGYUsing technology to facilitate patient access and offer real-time feedback, we aimed to assess the effectiveness of a multidisciplinary collaboration educational program known as the Advanced Carbohydrate Counting Intensive Program (ACCIP). This retrospective observational study involves T1D pati

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33

Amorim, Débora, Francisco Miranda, Andreia Santos, et al. "Assessing Carbohydrate Counting Accuracy: Current Limitations and Future Directions." Nutrients 16, no. 14 (2024): 2183. http://dx.doi.org/10.3390/nu16142183.

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Diabetes mellitus is a prevalent chronic autoimmune disease with a high impact on global health, affecting millions of adults and resulting in significant morbidity and mortality. Achieving optimal blood glucose levels is crucial for diabetes management to prevent acute and long-term complications. Carbohydrate counting (CC) is widely used by patients with type 1 diabetes to adjust prandial insulin bolus doses based on estimated carbohydrate content, contributing to better glycemic control and improved quality of life. However, accurately estimating the carbohydrate content of meals remains ch

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34

Kosuda, Minami. "Topics: Carbohydrate Counting for the Treatment of Diabetes." Journal of Nihon University Medical Association 78, no. 4 (2019): 247–50. http://dx.doi.org/10.4264/numa.78.4_247.

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35

Pinfield, Jenny. "Carbohydrate counting in children with type 1 diabetes." Nursing Children and Young People 23, no. 8 (2011): 10. http://dx.doi.org/10.7748/ncyp.23.8.10.s7.

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36

Brazeau, Anne-Sophie, Sylvie Blaquière, Mélanie Chenard, Hortensia Mircescu, Irene Strychar, and Rémi Rabasa-Lhoret. "Carbohydrate counting and blood glucose variability … be precise!" Canadian Journal of Diabetes 33, no. 1 (2009): 56. http://dx.doi.org/10.1016/s1499-2671(09)31020-5.

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37

Buethe, Marie. "A 10-Step Guide to Teaching Carbohydrate Counting." Diabetes Educator 34, no. 1 (2008): 67–74. http://dx.doi.org/10.1177/0145721707312206.

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38

Gorman, Kim. "CORE Tools and Patient Information: Counting Carbohydrate Servings." Obesity and Weight Management 6, no. 1 (2010): 45–46. http://dx.doi.org/10.1089/owm.2010.0114.

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39

Housni, A., A. Brazeau, L. Bergeron, and A. Simard. "IDENTIFYING BARRIERS TO CARBOHYDRATE COUNTING FOR PEOPLE WITH TYPE 1 DIABETES TO BRIDGE THE GAP WITH A CARBOHYDRATE COUNTING APP." Canadian Journal of Cardiology 39, no. 10 (2023): S134. http://dx.doi.org/10.1016/j.cjca.2023.06.214.

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40

Housni, A., A. Brazeau, L. Bergeron, and A. Simard. "IDENTIFYING BARRIERS TO CARBOHYDRATE COUNTING FOR PEOPLE WITH TYPE 1 DIABETES TO BRIDGE THE GAP WITH A CARBOHYDRATE COUNTING APP." Canadian Journal of Diabetes 47, no. 7 (2023): S105. http://dx.doi.org/10.1016/j.jcjd.2023.10.205.

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41

Kawamura, Tomoyuki, Chihiro Takamura, Masakazu Hirose, et al. "The factors affecting on estimation of carbohydrate content of meals in carbohydrate counting." Clinical Pediatric Endocrinology 24, no. 4 (2015): 153–65. http://dx.doi.org/10.1297/cpe.24.153.

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42

Bridges, Jane. "Carbs and Cals – A Visual Guide to Carbohydrate Counting and Calorie Counting for People with DiabetesCarbs and Cals – A Visual Guide to Carbohydrate Counting and Calorie Counting for People with Diabetes." Nursing Standard 26, no. 1 (2011): 28. http://dx.doi.org/10.7748/ns2011.09.26.1.28.b1256.

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43

Al-Qahtani, Saleh M., Ayed A. Shati, Youssef A. Alqahtani, et al. "Factors Affecting Glycemic Control among Saudi Children with Type 1 Diabetes Mellitus in Aseer Region, Southwestern Saudi Arabia." International Journal of Environmental Research and Public Health 19, no. 18 (2022): 11558. http://dx.doi.org/10.3390/ijerph191811558.

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Glycemic control in children with type 1 diabetes mellitus (T1DM) is affected by many factors that may be influenced by their lives and community. To identify the factors associated with glycemic control among children with T1DM in Aseer Region, southwestern Saudi Arabia, a cross-sectional interview study was conducted between 1 July and 30 September 2021, with a representative sample of Saudi children aged between 6 months and 15 years with T1DM or their caregivers visiting the diabetes center at Aseer Region. Newly diagnosed cases (<12 months) were excluded from the study. The study inclu

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44

Dalawari, Preeti, David Sprowls, Vicki Moran, and Eric Armbrecht. "Carbohydrate knowledge in diabetic emergency department patients at an academic institution." Journal of Hospital Administration 6, no. 2 (2017): 15. http://dx.doi.org/10.5430/jha.v6n2p15.

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Background: Diabetes Mellitus (DM) affects 12.3% of the U.S. population and is responsible for $245 billion in annual costs. Knowledge about their disease is an important part of patients’ self-management.Objective: The objective of this study was to describe the baseline level of knowledge of patients with diabetes in this emergency department (ED), including behaviors related to healthy eating such as carbohydrate counting (CC).Methods: This was a cross sectional interview survey conducted at an academic tertiary center. An 8-item survey was developed to assess areas of diabetes self-care an

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Amorim, Dbora, Francisco Miranda, Lus Ferreira, and Carlos Abreu. "Data-Driven Carbohydrate Counting Accuracy Monitoring: A Personalized Approach." Procedia Computer Science 204 (2022): 900–906. http://dx.doi.org/10.1016/j.procs.2022.08.109.

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46

Drago, Lorena, and Nancy Waldbillig. "Carbohydrate Counting or Healthy Eating Plan: Which to Use?" AADE in Practice 7, no. 6 (2019): 32–38. http://dx.doi.org/10.1177/2325160319877868.

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47

Maahs, David M., and Janine Higgins. "Is Carbohydrate Counting Enough? Towards Perfection or Unwanted Complexity?" Diabetes Technology & Therapeutics 14, no. 1 (2012): 3–5. http://dx.doi.org/10.1089/dia.2011.0234.

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Roversi, Chiara, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, and Giovanni Sparacino. "Modeling Carbohydrate Counting Error in Type 1 Diabetes Management." Diabetes Technology & Therapeutics 22, no. 10 (2020): 749–59. http://dx.doi.org/10.1089/dia.2019.0502.

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49

Billington, Emma, Tyler Fraser, Amira Tawashy, and Hugh D. Tildesley. "Carbohydrate Counting vs. Sliding Scale for Insulin Dosage Estimation." Canadian Journal of Diabetes 31, no. 2 (2007): 117–24. http://dx.doi.org/10.1016/s1499-2671(07)12006-2.

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50

Wylie-Rosett, Judith. "The role of carbohydrate counting in type 1 diabetes." Lancet Diabetes & Endocrinology 2, no. 2 (2014): 97–98. http://dx.doi.org/10.1016/s2213-8587(13)70159-1.

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