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Background Brazil has one of the largest older populations and people with diabetes. Non-communicable diseases account for 10.2% of hospitalisations in older people due to causes sensitive to primary care. Objective This study aims to evaluate the factors associated with depression in older people with type 2 diabetes in primary care, according to the clinical nursing judgment based on NANDA-I Taxonomy II. Methods This is a cross-sectional study of 389 older people with type 2 diabetes in primary care in a municipality in the state of São Paulo, Brazil. A bivariate analysis was performed to associate sociodemographic and clinical exposure variables with the outcomes of the geriatric depression scale. Only those variables associated at the level of p < 0.20 level were entered into a multiple logistic regression model. Results The study identified two predictive factors: adherence to medication “low to probable low” (p=0.01; OR = 2.07 95% CI 1.18-3.63) and probability of repeat hospitalisations (Prh) (p<0.01; OR = 2.68 95% CI: 1.42-5.04). Therefore, it can be concluded that these factors are significant in predicting the outcome. Conclusion Based on the interpretation of these factors, a cyclical procedural model has emerged that predicts and fosters depression in the population covered by primary care services, as well as signalling a risk for unstable blood glucose level and consequently a risk for metabolic syndrome and frail elderly syndrome. This is due to poor health in the community, which is related to programme failure and puts the group at risk.
Mukai et al. (Thu,) studied this question.
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