Implications of coping strategies and community cohesion for mental health in Colombia

In the face of mass human rights violations and constant threats to security, there is growing recognition of the resilience of people and communities. This paper builds on such work by investigating the effects of individual coping strategies, perceived community cohesion, and their interaction on mental health symptoms in Colombia. The study was conducted five years after the mass demobilisation of the former paramilitaries and takes an exploratory quantitative approach to identify two distinct forms of coping approaches among participants living in the Caribbean coast of Colombia. A constructive coping approach included active engagement, planning behaviours, emotional support, acceptance and positive reframing of daily stressors. A destructive coping approach in this study entailed denial of problems, substance use and behavioural disengagement from day-to-day stress. In addition, the strength of perceived community cohesion, or how close-knit and effective the individuals feel about the community in which they live, was examined. Structural equation modelling revealed that a constructive coping approach was significantly related to lower depression, while a destructive coping approach predicted more symptoms of depression. Although there was not a significant direct effect of perceived community cohesion on mental health outcomes, it did enhance the effect of constructive coping strategies at the trend level. That is, individuals who used constructive coping strategies and perceived their communities to be more cohesive, reported fewer depression symptoms than those who lived in less cohesive settings. Implications for promoting constructive coping strategies, as well as fostering cohesion in the community, are discussed.

Avoiding Overfitting in Inverse Modeling of Chloride Migration in Concrete

Inverse analysis for reactive transport of chlorides through concrete in the presence of electric field is presented. The model is solved using MATLAB’s built-in solvers “pdepe.m” and “ode15s.m”. The results from the model are compared with experimental measurements from accelerated migration test and a function representing the lack of fit is formed. This function is optimised with respect to varying amount of key parameters defining the model. Levenberg-Marquardt trust-region optimisation approach is employed. The paper presents a method by which the degree of inter-dependency between parameters and sensitivity (significance) of each parameter towards model predictions can be studied on models with or without clearly defined governing equations. Eigen value analysis of the Hessian matrix was employed to investigate and avoid over-parametrisation in inverse analysis. We investigated simultaneous fitting of parameters for diffusivity, chloride binding as defined by Freundlich isotherm (thermodynamic) and binding rate (kinetic parameter). Fitting of more than 2 parameters, simultaneously, demonstrates a high degree of parameter inter-dependency. This finding is significant as mathematical models for representing chloride transport rely on several parameters for each mode of transport (i.e., diffusivity, binding, etc.), which combined may lead to unreliable simultaneous estimation of parameters.

Application of GPCR Structures for Modelling of Free Fatty Acid Receptors

Five G protein-coupled receptors (GPCRs) have been identified to be activated by free fatty acids (FFA). Among them, FFA1 (GPR40) and FFA4 (GPR120) bind long-chain fatty acids, FFA2 (GPR43) and FFA3 (GPR41) bind short-chain fatty acids and GPR84 binds medium-chain fatty acids. Free fatty acid receptors have now emerged as potential targets for the treatment of diabetes, obesity and immune diseases. The recent progress in crystallography of GPCRs has now enabled the elucidation of the structure of FFA1 and provided reliable templates for homology modelling of other FFA receptors. Analysis of the crystal structure and improved homology models, along with mutagenesis data and structure activity, highlighted an unusual arginine charge pairing interaction in FFA1-3 for receptor modulation, distinct structural features for ligand binding to FFA1 and FFA4 and an arginine of the second extracellular loop as a possible anchoring point for FFA at GPR84. Structural data will be helpful for searching novel small molecule modulators at the FFA receptors.