Prevalence of diabetes in the Jequitinhonha Valley and association with socio-economic, demographic and health conditions

• Autor(a) principal: Paula, Elenice dos Santos
• Data de Publicação: 2020
• Outros Autores: Nunes Santos, Juliana, Nogueira Nunes, Ana Paula, Da Silva, Edson
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: HU Revista (Online)
• Texto Completo: https://periodicos.ufjf.br/index.php/hurevista/article/view/27807
• topic: Diabetes Mellitus; Prevalence; Risk Factors; Public Health Policy; Health Services; Diabetes Mellitus; Prevalência; Fatores de Risco; Fatores Políticas Públicas de Saúde; Serviços de Saúde

Introduction: Diabetes Mellitus (DM) is one of the diseases that most demands actions, procedures and health services. As a chronic condition, such DM-related situations entail high health care spending and constitute a global public health burden with significant impact on state economies. Objective: To investigate the prevalence of DM in the population of Jequitinhonha Valley (MG), Brazil, and to identify the profile of individuals interviewed by PAD-MG relating the presence of diabetes among respondents with socioeconomic, demographic and health conditions. Material and methods: A secondary study was conducted to analyze data from individuals from Vale do Jequitinhonha who reported having diabetes in PAD-MG, conducted in 2013 by the João Pinheiro Foundation. Descriptive statistics were used for sample characterization and bivariate analyzes. For categorical variables, the chi-square test was performed and for quantitative variables, the Mann-Whitney test was performed. Logistic binary regression was performed considering the significance level p≤0.001. Results: The prevalence of DM in the Jequitinhonha mesoregion was 4.2%. There was an association (p<0.001) between the response variable and the variables gender, age, hypertension, heart disease, perception of regular or poor health and hospitalization in the last year. Conclusion: DM was prevalent in the Jequitinhonha mesoregion and was statistically associated with the socioeconomic, demographic and health conditions studied.