Factor Associated with Adherence to the Protein and Fat Counting Strategy by Adults with Type 1 Diabetes Mellitus

Carbohydrate counting is one of the dietary strategies used for the management of type 1 diabetes (T1DM), and counting proteins and fats allows individuals to achieve better glycemic and metabolic control, reducing glycemic variability and long-term complications. The aim of this paper is to analyze...

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Bibliographic Details
Published in:	Nutrients Vol. 16; no. 12; p. 1930
Main Authors:	Uliana, Gabriela Correia, da Costa, Juliana Carvalho, Quaresma, Ayla Rocha, da Fonseca, Arthur Andrade, Ohaze, Kaory Brito, Alves, Layla Sandia Cezário, Gomes, Daniela Lopes
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 18-06-2024 MDPI
Subjects:	Adult Blood Glucose - metabolism Body mass index Carbohydrates Consent Cross-Sectional Studies Diabetes Diabetes Mellitus, Type 1 - blood diet Dietary Fats - administration & dosage Dietary Proteins - administration & dosage Fatty acids Female Glucose monitoring Glycated Hemoglobin - analysis Glycated Hemoglobin - metabolism glycemic control Glycemic Control - methods Glycemic index Humans Hyperglycemia Influence Insulin Lipids Male Meals Middle Aged Oils & fats Patient Compliance protein and lipid counting Proteins Social networks Sociodemographics strategy Surveys and Questionnaires type 1 diabetes mellitus Young Adult Brazil type 1 diabetes mellitus diet glycemic control strategy protein and lipid counting
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Summary:	Carbohydrate counting is one of the dietary strategies used for the management of type 1 diabetes (T1DM), and counting proteins and fats allows individuals to achieve better glycemic and metabolic control, reducing glycemic variability and long-term complications. The aim of this paper is to analyze the factors associated with adherence to the protein- and fat-counting strategy in adults with T1DM. This cross-sectional study was conducted from November 2021 to June 2022 through an online questionnaire. We applied Pearson's Chi-square test with adjusted residual analysis and a binomial logistic regression test using SPSS software, version 24.0, considering < 0.05 as indicative of statistical significance. There was an association between performing protein and lipid counting and having a higher education level, income exceeding three minimum wages, and having adequate glycated hemoglobin. Performing protein and lipid counting increased the chances of having adequate HbA1c by 4.3 times. Protein and lipid counting was a predictor of having adequate HbA1c. The results suggest that considering the practice of counting proteins and fats is important as a strategy to optimize glycemic control.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work.
ISSN:	2072-6643 2072-6643
DOI:	10.3390/nu16121930