Prevalence and associated factors of diabetes in the elderly population in Viçosa, Minas Gerais, Brazil

• Autor(a) principal: Vitoi, Nayla Cordeiro
• Data de Publicação: 2015
• Outros Autores: Fogal, Aline Siqueira, Nascimento, Clarissa de Matos, Matos, Clarissa de, Ribeiro, Andréia Queiroz
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://dx.doi.org/10.1590/1980-5497201500040022; http://www.locus.ufv.br/handle/123456789/12628
• topic: Aged; Prevalence; Health of the elderly; Demographic aging; Diabetes mellitus; Chronic disease

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. 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. 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.