Diferencias en la experiencia subjetiva entre depresión unipolar y bipolar

En la depresión unipolar el estado de ánimo predominante es la tristeza y la experiencia corporal es de un cuerpo que se siente más cómodo con la quietud que con la actividad, parecido a la pereza de la vida cotidiana. En la depresión bipolar el estado de ánimo predominante es de apagamiento emocional. La experiencia corporal es de un cuerpo pesado, cansado, un elemento que se interpone entre los deseos de actuar y la realización de las acciones y que se vuelve un obstáculo para el movimiento. Además, en la depresión bipolar hay mayor bradipsíquia, dificultad para concentrarse y desesperanza que en la unipolar. Se realizó una investigación de tipo cualitativo, exploratorio, de las experiencias subjetivas (de primera persona) de un grupo de pacientes con depresión unipolar y bipolar. Se utilizó entrevistas en profundidad de orientación fenomenológica.

Neighborhood characteristics and the spatial concentration of crime: Evidence for Bogotá

Using a unique neighborhood crime dataset for Bogotá in 2011, this study uses a spatial econometric approach and examines the role of socioeconomic and agglomeration variables in explaining the variance of crime. It uses two different types of crime, violent crime represented in homicides and property crime represented in residential burglaries. These two types of crime are then measured in non-standard crime statistics that are created as the area incidence for each crime in the neighborhood. The existence of crime hotspots in Bogotá has been shown in most of the literature, and using these non-standard crime statistics at this neighborhood level some hotspots arise again, thus validating the use of a spatial approach for these new crime statistics. The final specification includes socioeconomic, agglomeration, land-use and visual aspect variables that are then included in a SARAR model an estimated by the procedure devised by Kelejian and Prucha (2009). The resulting coefficients and marginal effects show the relevance of these crime hotspots which is similar with most previous studies. However, socioeconomic variables are significant and show the importance of age, and education. Agglomeration variables are significant and thus more densely populated areas are correlated with more crime. Interestingly, both types of crimes do not have the same significant covariates. Education and young male population have a different sign for homicide and residential burglaries. Inequality matters for homicides while higher real estate valuation matters for residential burglaries. Finally, density impacts positively both crimes.