To compare the prevalence of and trend in risk and protective factors for chronic non-communicable diseases (NCDs) among women beneficiaries and non-beneficiaries of Bolsa Família from 2016 to 2019. This is a cross-sectional time-series study. We estimated the prevalence and prevalence ratios, both crude and adjusted for age and schooling, of NCD indicators with their respective confidence intervals, using the Poisson regression model. A time-trend analysis was also performed employing a simple linear regression model, regarding the indicators as the outcome variable and the year of the survey as the explanatory variable. Women beneficiaries were more exposed to risk factors for NCDs compared to non-beneficiaries. Prevalence ratios adjusted for smokers were 1.15 (1.07 - 1.24), for overweight were 1.08 (1.03 - 1.14), and for obesity were 1.09 (1.04 - 1.14), while the recommended fruit and vegetable consumption was 0.93 (0.87 - 0.99); they also showed lower practice of leisure-time physical activities (0.88; 0.82 - 0.93), spent more time watching TV (1.08; 1.02 - 1.13), had worse self-rated health status (1.12; 1.04 - 1.21), and lower rates of mammography (0.80; 0.71 - 0.90) and pap smear (0.93; 0.88 - 0.98). Among the beneficiaries, the trend analysis showed an increased prevalence of overweight, from 55.9 to 62.6%, and screen time except for TV, from 13.5 to 27.8%. NCD risk factors were higher among women beneficiaries of Bolsa Família, indicating the importance of maintaining affirmative policies for this vulnerable population. NCD risk factors were higher among women beneficiaries of Bolsa Família, indicating the importance of maintaining affirmative policies for this vulnerable population. To analyze the contextual factors associated with type II diabetes mellitus in Belo Horizonte City. Cross-sectional study with 5,779 adults living in Belo Horizonte City, participating in the Risk and Protection Factors Surveillance System for Chronic Diseases through Telephone Survey (Vigitel), in 2008, 2009, and 2010. Multilevel regression models were used to test the association between contextual indicators of physical and social environments, and self-reported diagnosis of diabetes, adjusted for individual sociodemographic and lifestyle factors. Descriptive analyzes and multilevel logistic regression models were used, considering a 5% significance level. The prevalence of diabetes was 6.2% (95%CI 5.54 - 6.92), and 3.1% of the variability of chance of presenting diabetes were explained by contextual characteristics. Living in areas with high density of private places for physical activity and high income was associated with a lower chance of having diabetes. The areas with high level of social vulnerability were strongly associated with the chance of presenting diabetes, adjusted for individual characteristics. Characteristics of physical and social environments were associated with the chance of diabetes occurrence. Urban centers with opportunities to adopt healthy behaviors can help to reduce the occurrence of diabetes and its complications. Characteristics of physical and social environments were associated with the chance of diabetes occurrence. https://www.selleckchem.com/products/flt3-in-3.html Urban centers with opportunities to adopt healthy behaviors can help to reduce the occurrence of diabetes and its complications. To analyze the spatial distribution of the four-year cancer mortality rates in the state of Mato Grosso, Brazil, from 2000 to 2015. Ecological design study, in which mortality from neoplasia was analyzed, from 2000 to 2015, for the municipalities of Mato Grosso State. Mortality rates due to cancer were calculated by the ratio of the sum of deaths by cancer in each quadrennium, divided by the average of the population in the two central years of the period, multiplied by 10,000 inhabitants. Annual percentage change was calculated by the ratio of the linear regression coefficient to the cancer mortality rates in Mato Grosso State at the beginning of the analyzed period (2000 to 2003). Thematic maps were constructed for each quadrennium using intervals of equal classes. Cancer caused 31,097 deaths in the state of Mato Grosso in the period, 13,058 in women and 18,039 in men, with a male to female ratio of 1.38. The top five causes of cancer death in the period were lung (12.2%), prostate (8.7%), stomach (7.7%), breast (6.0%), and liver (4.7%). There was an increase in the number of municipalities with rates greater than 23.67 deaths per 100,000 inhabitants in the period. There was an increase in cancer mortality and an increase in the proportion of municipalities with higher mortality rates. Higher density of cancer mortality occurred in the municipalities located in the West, Center-South, Southeast, and Center-North regions of the state. There was an increase in cancer mortality and an increase in the proportion of municipalities with higher mortality rates. Higher density of cancer mortality occurred in the municipalities located in the West, Center-South, Southeast, and Center-North regions of the state. To estimate trends of fetal (FMR) and neonatal (NMR) mortality rates due to avoidable causes and maternal education in the city of Rio de Janeiro (2000-2018). Ecological time series study. Mortality and Live Birth Information System Data. The List of Avoidable Causes of Death Due to Interventions of the Brazilian Health System was used for neonatal deaths and an adaptation for fetal deaths, according to maternal education indicators (low <4 and high ≥12, years of study). Joinpoint regression models were used to estimate trends in FMR, based on one thousand births, and NMR, based on one thousand live births. FMR decreased from 11.0 to 9.3% and NMR from 11.3 to 7.8% (2000/2018). In 2006, FMR (10.5%) exceeded NMR (9.0%), remaining higher. From 2000 to 2018, the annual decrease of FMR was 0.8% (2000 to 2018) and of NMR, 3.8% until 2007, decreasing to 1.1% by 2011; from then on, it remained stable. Avoidable causes, especially those reducible by adequate prenatal care, showed higher rates. Both FMR and NMR for low-education women were higher than those for the high-education level, the difference being much more pronounced for FMR, and at the end of the period low- and high-education FMR were respectively 16.4 and 4.5% (2000) and 48.5 and 3.9% (2018), and for NMR, 18.2 and 6.7% (2000) and 28.4 and 5.0% (2018). The favorable trend of decreasing mortality was not observed for children of mothers with low education, revealing inequalities. The causes were mostly avoidable, being related to prenatal care and childbirth. The favorable trend of decreasing mortality was not observed for children of mothers with low education, revealing inequalities. The causes were mostly avoidable, being related to prenatal care and childbirth.