Introduction: Women present a higher prevalence of negative self-assessment of health (NSAH) when compared to men. However, there is a gap in the literature of factors associated with NSAH in women from developing countries such as Brazil. In addition, few studies have assessed the magnitude of the association between multimorbidity and NSAH in this population. Thus, the aim of this study was to evaluate the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity in women from the Midwest region of Brazil. Methods: A study based on data from the National Health Survey, a household survey that investigated health situation, lifestyle and risk factors for chronic diseases in the adult population of Brazil, was held. Sampling was performed in multiple stages. The selected women answered a standardized questionnaire on sociodemographic data, self-assessment of health and potential determinants. Poisson regression was used to analyze the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity. A significance level of 0.05% was established. Results: The study included 4233 women. The prevalence of NSAH found was 6.0% (95% Confidence Interval [95% CI]: 5.1–7.0%). There was an association between NSAH and advancing age, low schooling, physical inactivity and multimorbidity. Furthermore, there was an association between NSAH and diseases/disorders such as chronic back pain, systemic arterial hypertension, mental disorders, depression, cardiovascular diseases, stroke, cancer, hypercholesterolemia and diabetes mellitus. Conclusion: The prevalence of NSAH was low. A strong association was found between this variable and multimorbidity. In addition, increased age, low schooling and physical inactivity were predictors of NSAH in women.

The aim of this study was to estimate the prevalence and risk factors for self-reported diabetes mellitus (DM) in the adult population of the Central-West region of Brazil. In 2013, a cross-sectional study using the data from the National Health Survey and comprising 7519 individuals aged ≥18 years from the Central-West region was conducted. Participants were interviewed at their homes about sociodemographic data and risk factors for DM. To verify the risk factors with DM, the Poisson regression model was used. The analyses were performed for the total sample and stratified according to sex. The prevalence of DM was 6.5% (95% confidence interval [95% CI], 5.7–7.3). The diagnosis of self-reported DM was 4.3% in men and 7.5% in women. In the global sample, it was found that age between 40–59 years and ≥60 years, previous smoking (former smoker), self-reported hypertension, self-reported dyslipidemia, overweight, and obesity were independently associated with self-reported DM. In men, risk factors were: Age ≥ 60 years, self-reported hypertension, self-reported dyslipidemia, and obesity. In women, risk factors were: Age 30–39 years, 40–59 years, and ≥60 years, previous smoking (former smoker), self-reported hypertension, self-reported dyslipidemia, overweight, and obesity. Conclusion: The prevalence of DM was 6.5%. DM was associated with advanced age; previous smoking (former smoker), hypertension, dyslipidemia, overweight, and obesity. Some differences in risk factors between men and women were noted.

The objective of this study was to analyze the indicators of access and use of health services in people with diabetes mellitus. This study used data from the National Health Survey, conducted in Brazil in 2013. The National Health Survey was carried out with adults aged 18 years or older residing in permanent private households in Brazil. Indicators from 492 individuals with self-reported diabetes mellitus living in the Central–West region of the country were analyzed. Item response theory was used to estimate the score for access to and use of health services. Multiple linear regression was used to analyze factors associated with scores of access and use of health services by people with diabetes mellitus. The mean score of access estimated by the item response theory and use estimated was 51.4, with the lowest score of zero (lowest access and use) and the highest 100 (highest access and use). Among the indicators analyzed, 74.6% reported having received medical care in the last 12 months and 46.4% reported that the last visit occurred in primary care. Only 18.9% had their feet examined and 29.3% underwent eye examinations. Individuals of mixed-race/skin color and those residing outside capital and metropolitan regions had lower access and use scores when compared to white individuals and residents of state capitals, respectively. The study shows several gaps in the indicators of access and use of health services by people with diabetes. People of mixed race/skin color and residents outside the capitals and metropolitan regions had lower scores for access and use, suggesting the need to increase health care in these groups.