Ansiedad y depresión en parejas que incian un tratamiento de fecundación in vitro (FIV): rol de las estrategias de afrontamiento

Living with infertility and its emotional impact in couples has been frequently investigated. The objective of the present study was to establish in couples that initiate an IVF treatment:(1) their coping profile, anxiety level (State-anxiety; Trait-anxiety) and depression symptomatology;(2) the explanatory power of coping strategies over anxiety and depression levels, depending on gender. Method: we used a transversal study with 92 couples that begun an IVF treatment in the Assisted Reproduction Unit of the Hospital Clinic. All of them respond to the Spanish adaptation of the CRI-A, the STAI and the BDI-I. Results: the IVF population in comparison to the normal sample use less coping strategies and presents lower levels of anxiety and depression. Women IVF in comparison with man employ further avoidance strategies and present a higher score in depression and state-anxiety. Even when some exceptions exist, anxiety and depression levels are not well explained by coping strategies. Conclusions: It has been shown that the use of coping strategies on the IVF population are lower than in normative sample. Most of the couples present low anxiety (state / trait) and depression levels, and just a low percentage present scores that can require clinical attention. Key words: Infertility / IVF / Coping strategies / State anxiety / Trait anxiety / depression.

Assessment of emotional reactivity produced by exposure to virtual environments in patients with eating disorders

The aim of this study was to assess the usefulness of virtual environments representing situations that are emotionally significant to subjects with eating disorders (ED). These environments may be applied with both evaluative and therapeutic aims and in simulation procedures to carry out a range of experimental studies. This paper is part of a wider research project analyzing the influence of the situation to which subjects are exposed on their performance on body image estimation tasks. Thirty female patients with eating disorders were exposed to six virtual environments: a living-room (neutral situation), a kitchen with highcalorie food, a kitchen with low-calorie food, a restaurant with high-calorie food, a restaurant with low-calorie food, and a swimming-pool. After exposure to each environment the STAI-S (a measurement of state anxiety) and the CDB (a measurement of depression) were administered to all subjects. The results show that virtual reality instruments are particularly useful for simulating everyday situations that may provoke emotional reactions such as anxiety and depression, in patients with ED. Virtual environments in which subjects are obliged to ingest high-calorie food provoke the highest levels of state anxiety and depression.

Let's get emotional!

Artikkelissa kerrotaan luennoista, jotka brittiläinen professori Rob Briner piti Suomessa toukokuussa 2003

FastEpistasis: a high performance computing solution for quantitative trait epistasis.

Motivation: Genome-wide association studies have become widely used tools to study effects of genetic variants on complex diseases. While it is of great interest to extend existing analysis methods by considering interaction effects between pairs of loci, the large number of possible tests presents a significant computational challenge. The number of computations is further multiplied in the study of gene expression quantitative trait mapping, in which tests are performed for thousands of gene phenotypes simultaneously. Results: We present FastEpistasis, an efficient parallel solution extending the PLINK epistasis module, designed to test for epistasis effects when analyzing continuous phenotypes. Our results show that the algorithm scales with the number of processors and offers a reduction in computation time when several phenotypes are analyzed simultaneously. FastEpistasis is capable of testing the association of a continuous trait with all single nucleotide polymorphism ( SNP) pairs from 500 000 SNPs, totaling 125 billion tests, in a population of 5000 individuals in 29, 4 or 0.5 days using 8, 64 or 512 processors.