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ABSTRACT Objective The objective of this study was to evaluate the long-term effects of a Brazilian smoking cessation support program and the factors that are associated with its success. Methods A longitudinal study was conducted from 2012 to 2014 with 84 patients enrolled in smoking cessation support groups in a Primary Care Center from a poor community in Rio de Janeiro (Brazil). Support was provided according to Brazilian Tobacco Control Program and consisted of cognitive behavioral therapy in addition to nicotine replacement therapy. Logistic regression and the Cox proportional hazard models were used in the analysis. Results There was an increase of 34%, 48% and 97% in the chances of patients stop smoking for at least six months, 12 months and 24 months, respectively, for each new session that the patient participated. Patients that attended three or more meetings had a 79% lower risk of returning to smoking than those who went to less than three meetings. Conclusions Although not all patients who were enrolled in the program could be contacted for the study, our results indicate that about 40% of patients are able to stay smoke-free for at least three months due to the smoking cessation program, but less than 20% are able to remain smoke-free for two years. Initiatives to improve adherence to cognitive behavioral therapy meetings according to the specificity of the population may increase the effectiveness of the program.

BACKGROUND:Dengue epidemics have occurred in the city of Rio de Janeiro (Brazil) since 1986. In the year 2015, Zika and chikungunya viruses were introduced in the city, causing sequential and simultaneous epidemics. Poor socioeconomic conditions have been suggested as contributing factors of arboviral infection. OBJECTIVE:To describe the spatial distribution of human cases of symptomatic arboviral infections and to identify risk factors for infection in a poor community of Rio de Janeiro in the years 2015 and 2016. METHODS:We built thematic maps of incidence rates for 78 micro-areas in the Manguinhos neighborhood. The micro-areas congregate about 600 inhabitants. Simple and multiple multilevel logistic regression models were used to evaluate the association between the incidence of arboviral diseases and socio-demographic factors at both the individual and micro-area levels. RESULTS:From 2015 to 2016, 370 human cases of arbovirus infection were reported in the Manguinhos community: 123 in 2015 and 247 in 2016. There was a significant difference in the risk of arbovirus diseases among different micro-areas, but this was not explained by water and sanitation indicators. The cumulative incidence rate was 849/100,000 in two years. The incidence was greater in those individuals with familiar vulnerability (1,156/100,000 vs. 794/100,000). The multilevel adjusted model showed that the odds of acquiring an arbovirus infection was 55% greater in those with familiar vulnerability. CONCLUSION:Arbovirus infections cause a high burden of disease in Brazilian urban centers. Our results suggest that even in poor neighborhoods, there is a high spatial variability in the risk of acquiring an arbovirus infection. The conditions that favor vector proliferation and infection by arboviruses are complex and involve both individual and environmental characteristics that vary from place to place. To reduce the burden of arboviral diseases, continued public health policies and basic services should be provided to the communities at risk that consider specific local needs.

In Brazil, the incidence of dengue greatly increased in the last two decades and there are several factors impeding the control of the disease. The present study focused on describing the space-time evolution of dengue in Brazil from 2001 to 2012 and analyzing the relationship of the reported cases with socio-demographic and environmental factors.The analytic units used in the preparation of thematic maps were municipalities. Statistical tests and multilevel regression models were used to evaluate the association between dengue incidence and the following factors: climate, diagnostic period, demographic density, percentage of people living in rural areas, Gross Domestic Product, Gini index, percentage of garbage collection and the rate of households with a sewage network.The largest accumulation of dengue cases in Brazil was concentrated on the Atlantic coast and in the interior part of São Paulo State. The risk of dengue in subtropical and tropical climates was 1.20-11 times lower than that observed in semi-arid climates. In 2009-2010 and 2011-2012, the risks were ten and six times higher than in 2003-2004, respectively.Dengue is a common infection in the Brazilian population, with the largest accumulation of dengue cases concentrated on the Atlantic coast and in the interior area of São Paulo State. The high dengue rates observed in the Brazilian coastal region suggest that the cases imported from neighboring countries contribute to the spread of the disease in the country. Our results suggest that several socio-demographic and environmental factors resulted in the increase of dengue in the country over time. This is likely applicable to the occurrence of other arboviruses like Zika and chikungunya. To reverse the situation, Brazil must implement effective public policies that offer basic services such as garbage collection and sanitation networks as well as reduce vector populations.