Identification of biopsychosocial profiles in subjects chronically exposed to the Colombian conflict: strategies towards the individualization of social reintegration programs.

Project: Research Project

Project Details

Description

This research is based on a cross-cutting quantitative approach, in which methodologies of evaluation and analysis of data derived from experimental and social psychology and cognitive and social neurosciences will be implemented. It is expected that this study will allow to construct initially in the derivation of biopsychosocial profiles of the participants using methodologies such as the analysis of latent classes. It will be sought later to derive a model that supports the construction of strategies of individualization of programs of social reintegration. The hypothetical model of the study suggests that individuals exposed to the conflict were characterized by describing biopsychosocial profiles with different degrees of affectation in relation to variables such as chronic exposure to the conflict. The final aim of the study will be to strengthen the analysis of biopsychosocial profiles with different degrees of affectation in relation to variables such as chronic exposure to conflict.
Special attention should be given to the populations of post-conflict public policy, in order to improve their benefit from attention programs in the achievement of their objectives.
Short titleIdentificación de perfiles biopsicosociales en sujetos expuestos al conflicto
StatusFinished
Effective start/end date12/18/1712/18/20

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth

Main Funding Source

  • National

Location

  • Bogotá D.C.
  • Antioquia
  • Europe

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.