Since its creation the STAI has been cited in more than 14,000 documents, with more than 60 adaptations in different countries. In some adaptations this instrument has no clinical scores. The aim of this work is to determine if the State-Trait Anxiety Inventory (STAI) has higher scores in patients diagnosed with anxiety than in general population. In addition, we want to examine if the internal consistency is adequate in anxious patient samples. We performed a literature search in Tripdatabase, Cochrane, Web of Knowledge, Scopus, PyscINFO and Scholar Google, for documents published between 2008 y 2012. We selected 131 scientific articles to compare between patients diagnosed with anxiety and general population, and 25 for the generalization of reliability. For the analysis we used Cohen's d for means comparisons (random-effects method) and Cronbach's alpha for the reliability generalization (fixed-effects method). In the groups comparision the differences in state anxiety (d=1.39; CI95%: 1.22-1.56) and in the trait anxiety (d=1.74; CI95%:1.56-1.91) were significants. The reliability for patients of some anxiety disorder was between 0.87 and 0.93. So it seems that the STAI is sensitive to the level of anxiety of the individual and reliable for patients with diagnosis of panic attack, specific phobia, social phobia, generalized social phobia, generalized anxiety disorder, post-traumatic stress disorder, obsessive compulsive disorder or acute Stress disorder.

Background/Objective: The State-Trait Anxiety Inventory (STAI) is one of the assessment instruments that are most widely used by psychologists around the world and is the seventh most broadly used by clinical psychologists in Spain. Although several short forms of the STAI have been developed since its creation, none are available for the Spanish general population. The aim of the present study was to develop and validate a short form of the STAI. Method: To achieve this, we administered the full STAI to 1,157 healthy adults, and 30 patients with generalized anxiety disorder. We conducted a discriminant analysis using such groups. Results: We obtained a selection of four items for state anxiety and four items for trait anxiety and compared it to other short forms through a confirmatory factor analysis. The short form obtained with the discriminant analysis showed the best fit for Spanish samples. Conclusions: these eight items can be used to facilitate the state and trait anxiety assessment.

The theory of planned behavior (TPB), socio-cognitive model (SCM), and information-motivation-behavioral skills (IMB) model are effective in predicting condom use. However, the adequacy of these three theoretical models in predicting the frequency of condom use (FCU) among young people has not been compared. This cross-sectional study tested the applicability and suitability of these three models in predicting the FCU, and analyzed the relationships among the postulated constructs. Sexually experienced adolescents (n = 410) aged 13–18 completed a survey assessing the TPB, SCM, and IMB model constructs. Participants were students recruited from 18 high schools, randomly selected from the north, south, east, and southeast of Spain. A structural equation modelling (SEM) analysis was applied to test TPB, SCM and IBM and constructs relationships of each model using R. The results of SEM demonstrated that behavioral skills predict behavior via motivation as hypothesized by the IMB model, but not directly via knowledge about condom use and sexually transmitted infections (STIs). Cognitive factors, such knowledge about condom use and STIs as well as condom use self-efficacy, directly predicted the FCU when modeled as per the SCM. According to the TPB, condom use intention was the best predictor of the FCU, and condom use intention was predicted by attitudes toward condom use and subjective norms related to condom use, but perceived control was not directly or indirectly related to the FCU. Based on the data, the TPB becomes the best-fit model for predicting the FCU among young people compared to the SCM and IMB model. From a statistical perspective, the TPB seems to be the most suitable model for predicting the FCU among young people compared to the other models. Overall, key direct predictors of the FCU in adolescents included condom use intention, behavioral skills and cognitive factors, such as STIs knowledge and condom use self-efficacy. The next step should be to test integrative models that include personal, contextual, environmental, and social factors.