Obesity is associated with previous suicide attempts in bipolar disorder

Objective: There is a paucity of data about risk factors for suicide attempts in bipolar disorder. The aim of this study is to examine the association between suicide attempts and obesity in people with bipolar disorder.

Methods: Two hundred fifty-five DSM-IV out-patients with bipolar disorder were consecutively recruited from the Bipolar Disorder Program at Hospital das Clínicas de Porto Alegre and the University Hospital at the Universidade Federal de Santa Maria, Brazil. Diagnosis and clinical variables were assessed with Structured Clinical Interview for DSM-IV-axis I (SCID I) and Program structured protocol. History of suicide attempts was obtained from multiple information sources including patients, relatives and review of medical records. Patients with body mass index (BMI) ≥ 30 were classified as obese.

Results: Over 30% of the sample was obese and over 50% had a history of suicide attempt. In the multivariate model, obese patients were nearly twice (OR = 1.97, 95% CI: 1.06–3.69, p = 0.03) as likely to have a history of suicide attempt(s).

Conclusion: Our results emphasise the relevance of obesity as an associated factor of suicide attempts in bipolar disorder. Obesity may be seen as correlate of severity and as such, must be considered in the comprehensive management of bipolar patients.

Democracy in the making : municipal reforms, civil society, and the Brazilian Workers' Party

Ch. 1. Introduction -- Ch. 2. Change and Continuity: Brazilian Municipal Reforms in Context -- Ch. 3. Itabuna -- Ch. 4. Sao Paulo -- Ch. 5. Porto Alegre -- Ch. 6. 'Genuine' Democracy: Civil Society, the Workers' Party and Beyond.

Aplicacao do geoprocessamento no estudo da impermeabilidade urbana

The environmental impact of urbanization due to the surface impervious growing and inadequacy of urban occupation induces to a significant increase of inundation events in every urban center. Hence, this paper focuses the concept of impervious surface as an indicator of environment impact, expressed through the changing of pervious areas in impervious areas by paving cover or building occupation. It is taken as a case study 13 areas pertaining to Canoas City, Rio Grande do Sul – Metropolitan area of Porto Alegre, Brazil. The main goal of the methodology process is to achieve information about types of land cover for studying the association with urban impermeability level. Therefore, the manipulation of municipal digital cartographic base of Canoas City with aerial photographs, through the geoprocessing applied in geographic information system toolbox (GIS), allows this research to produce data about of urban impervious areas generation. These results could help the urban settlement planning to reduce the impervious cover and the hydrological impact in its implementation.

Proteção dos recursos hídricos de areas urbanas em crescimento : avaliação multi-critérios em sistemas de informações geográficas

Urbanization is one of the greatest manifestations of human activities. Nowadays, world’s explosive urbanization and the problems connected with it pose an important social question. Unbridled urbanization has an expressive tendency to cause dramatic problems, especially on the water resources in terms of quantitative and qualitative changes. Sheltered in a policy delimited in master plan, the planning of the city must incorporate – according to local realities and its particularities –appropriate patterns of landscape in order to achieve sustainable development. The current article aims to establish which zones in Porto Alegre city are more suitable for urbanization. It uses a Multi Criteria Evaluation process in a geographical information systems environment, taking into account human and natural factors and the current Master Plan for the city, with a focus on water resources.

Simulating urban growth in a developing nation's region using a cellular automata-based model

Urbanization is one of the most evident global changes. Research in the field of urban growth modelling has generated models that explore for drivers and components of the urban growth dynamics. Cellular automata (CA) modeling is one of the recent advances, and a number of CA-based models of urban growth have produced satisfactory simulations of spatial urban expansion over time. Most application and test of CA-based models of urban growth which provide likely and reliable simulations has been developed in urban regions of developed nations; urban regions in the United States, in particular. This is because most of the models were developed in universities and research centers of developed nations, and these regions have the required data, which is extensive. Most of the population growth in the world, however, occurs in the developing world. While some European countries show signs of stabilization of their population, in less developed countries, such as India, population still grows exponentially. And this growth is normally uncoordinated, which results in serious environmental and social problems in urban areas. Therefore, the use of existing dynamic–spatial models of urban growth in regions of developing nations could be a means to assist planners and decision makers of these regions to understand and simulate the process of urban growth and test the results of different development strategies. The pattern of growth of urban regions of developing nations, however, seems to be different of the pattern of developed countries. The former use to be more dense and centralized, normally expanding outwards from consolidated urban areas; while the second is normally more fragmented and sparse. The present paper aims to investigate to how extent existing CA-based urban growth models tested in developed nations can also be applied to a developing country urban area. The urban growth model was applied to Porto Alegre City, Brazil. An expected contiguous expansion from existing urban areas has been obtained as following the historical trends of growth of the region. Moreover, the model was sensitive and able to portray different pattern of growth in the study area by changing the value of its parameters.