OBJECTIVES: To assess the prevalence and factors associated with diabetes in the elderly population and verify the correlation between the use of medications for diabetes and information about the disease. METHODS: This epidemiological cross-sectional study was conducted in Viçosa, Minas Gerais, Brazil, with 621 elderly people aged 60 years or older selected by simple random sampling. A semi-structured questionnaire was used as a research tool and included questions about socioeconomic conditions, lifestyle, health conditions, and nutritional status. The weight, height, and waist circumference were measured. The dependent variable was the self-reported diabetes. In the association analysis between explanatory variables and self-reported diabetes, the Poisson regression analysis with robust variance was used. In the bivariate analysis, a p value < 0.25 was used to include the variables for the multivariate modeling, and in the final model, the variables with p value < 0.10 association were included. RESULTS: The prevalence of diabetes was 22.4%. The multivariate hierarchical analysis showed the following factors independently and positively associated with diabetes: gender, self-reported health, history of hypertension/dyslipidemia, polypharmacy, and waist circumference. The elderly schooling was negatively associated with diabetes. CONCLUSION: The results showed the need for implementation of educational public policies to promote behavior changes of the population to prevent and control diabetes and its complications.
OBJECTIVES: To assess the prevalence and factors associated with diabetes in the elderly population and verify the correlation between the use of medications for diabetes and information about the disease. METHODS: This epidemiological cross-sectional study was conducted in Viçosa, Minas Gerais, Brazil, with 621 elderly people aged 60 years or older selected by simple random sampling. A semi-structured questionnaire was used as a research tool and included questions about socioeconomic conditions, lifestyle, health conditions, and nutritional status. The weight, height, and waist circumference were measured. The dependent variable was the self-reported diabetes. In the association analysis between explanatory variables and self-reported diabetes, the Poisson regression analysis with robust variance was used. In the bivariate analysis, a p value < 0.25 was used to include the variables for the multivariate modeling, and in the final model, the variables with p value < 0.10 association were included. RESULTS: The prevalence of diabetes was 22.4%. The multivariate hierarchical analysis showed the following factors independently and positively associated with diabetes: gender, self-reported health, history of hypertension/dyslipidemia, polypharmacy, and waist circumference. The elderly schooling was negatively associated with diabetes. CONCLUSION: The results showed the need for implementation of educational public policies to promote behavior changes of the population to prevent and control diabetes and its complications.
Authors: Natacha Christina de Araújo; Erika Aparecida Silveira; Brenda Godoi Mota; Rafael Alves Guimarães; Ana Carolina Figueiredo Modesto; Valéria Pagotto Journal: Int J Clin Pharm Date: 2022-07-27
Authors: Natacha Christina de Araújo; Erika Aparecida Silveira; Brenda Godoi Mota; João Paulo Neves Mota; Ana Elisa Bauer de Camargo Silva; Rafael Alves Guimarães; Valéria Pagotto Journal: PLoS One Date: 2020-10-28 Impact factor: 3.240