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This study presents the validation of Spanish version of Why worry? Questionnaire which assesses a variable of process related to the overestimation of the positive and negative consequences of the excessive and uncontrollable worry that is characteristic of Generalized Anxiety Disorder. 833 participants from Tenerife (Canary Island) completed this questionnaire among other psychological measures. The exploratory factor analysis yielded a two-factors structure that explained 41.34% of the total variance; both of them showed adecuate internal consistency (alpha 1 = 0.86 and alpha 2 = 0.85) and test-retest (r 1 = 0.70 and r 2 = 0.75) reliability coefficients. A confirmatory factor analysis confirmed two-factor structure. As expected, concurrent validation uncovered substantial correlation with anxiety and mood disorders. The results support a good discriminate validity. The Spanish version of why worry questionnaire provides a reliable and valid instrument, which we can use in cross-cultural studies on worry as a GAD characteristic.

Objective: Comorbidity between personality disorders (PD) and substance-use disorders (SUD) is one of the most common findings in the psychiatric field. The patients with Cluster C disorders present maladjustment traits often characterized by high levels of anxiety. The main aim of this study was to find evidences about higher anxiety and depression prevalence on Cluster C than others Clusters, analyzing similarities and differences within, with other Cluster A and B PD patients and patients without PD. Method: A total of 822 substance dependent patients (ages18-78; Mean = 38.35, SD = 10.14) completed the structured clinical interview for DSM-IV Axis I and Axis II disorders, Beck Depression Inventory, and State-Trait Anxiety Inventory. results: Results supported poly-consumption in Cluster C patients, being greater alcohol consumption as well as abuse of both stimulants and depressants. Anxiety and depression did not show just one pattern for all patients with SUD-Cluster C PD. There was a relation between anxiety and depression for all the groups except for the Dependent-PD. conclusion: Interventions should focus on aspects like depression and anxiety more than on the substance consumed. [ABSTRACT FROM AUTHOR]

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Specific phobia represents an anxiety disorder category characterized by intense fear generated by specific stimuli. Among specific phobias, small animal phobia (SAP) denotes a particular condition that has been poorly investigated in the neuroscientific literature. Moreover, the few previous studies on this topic have mostly employed univariate analyses, with limited and unbalanced samples, leading to inconsistent results. To overcome these limitations, and to characterize the neural underpinnings of SAP, this study aims to develop a classification model of individuals with SAP based on gray matter features, by using a machine learning method known as the binary support vector machine. Moreover, the contribution of specific structural macro‐networks, such as the default mode, the salience, the executive, and the affective networks, in separating phobic subjects from controls was assessed. Thirty‐two subjects with SAP and 90 matched healthy controls were tested to this aim. At a whole‐brain level, we found a significant predictive model including brain structures related to emotional regulation, cognitive control, and sensory integration, such as the cerebellum, the temporal pole, the frontal cortex, temporal lobes, the amygdala and the thalamus. Instead, when considering macro‐networks analysis, we found the Default, the Affective, and partially the Central Executive and the Sensorimotor networks, to significantly outperform the other networks in classifying SAP individuals. In conclusion, this study expands knowledge about the neural basis of SAP, proposing new research directions and potential diagnostic strategies. [ABSTRACT FROM AUTHOR]