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

Autor: Uliana GC; Postgraduate Program in Neurosciences and Behavior, Nucleus of Behavior Theory Research, Federal University of Pará, Belém 66075-110, Brazil., da Costa JC; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil., Quaresma AR; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil., da Fonseca AA; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil., Ohaze KB; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil., Alves LSC; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil., Gomes DL; Postgraduate Program in Neurosciences and Behavior, Nucleus of Behavior Theory Research, Federal University of Pará, Belém 66075-110, Brazil.; Faculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Jazyk: angličtina
Zdroj: Nutrients [Nutrients] 2024 Jun 18; Vol. 16 (12). Date of Electronic Publication: 2024 Jun 18.
DOI: 10.3390/nu16121930
Abstrakt: 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 p < 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.
Databáze: MEDLINE