Insight assessment in psychosis and psychopathological correlates: validation of the Spanish version of the Schedule for Assessment of Insight - Expanded Version

Background and Objectives: Lack of insight is a cardinal feature of psycho­sis. Insight has been found to be a multidimensional concept, including awareness of having a mental illness, ability to relabel psychotic phenomena as abnormal and compliance with treatment., which can be measured with the Schedule for Assessment of Insight (SAI-E). The aim of this study was to validate the Spanish version of SAI-E. Methods: The SAI-E was translated into Spanish and back-translated into English, which was deemed appropriate by the original scale author. Next, the Spanish version of the SAI-E was administered to 39 patients with schizophrenia or schizoaffective disorder (DSM-IV criteria) from a North Peruvian psychiatric hospital. The Positive and Negative Syndrome Scale for Schizophrenia (PANSS) and the Scale of Unawareness of Mental Disorder (SUMD) were also administered. Specifically, internal consistency and convergent validity were assessed. Results: Internal consistency between the 11 items of the SAI-E was found to be good to excellent (α = 0.942). Compliance items did not contribute to internal consistency (A = 0.417, B = 572). Inter-rater reliability was excellent (ICC = 0.99). Regarding concurrent validity, the SAI-E total score correlated negatively with the lack of insight and judgement item of the PANNS (r = -0.91, p <0.01) and positively with the SUMD total score (r = 0.92, p <0.001). Conclusions: The Spanish version of the SAI-E scale was demonstrated to have both excellent reliability and external validity in our sample of South American Spanish-speaking patients with schizophrenia spectrum disorders.

Comparison of two field methods for estimating body fat in different Spanish Dance disciplines

The purpose of the present study was to investigate percentage body fat (%BF) differences in three Spanish dance disciplines and to compare skinfold and bioelectrical impedance predictions of body fat percentage in the same sample. Seventy-six female dancers, divided into three groups, Classical (n=23), Spanish (n=29) and Flamenco (n=24), were measured using skinfold measurements at four sites: triceps, subscapular, biceps and iliac crest, and whole body multi-frequency bioelectrical impedance (BIA). The skin-fold measures were used to predict body fat percentage via Durnin and Womersley's and Segal, Sun and Yannakoulia equations by BIA. Differences in percent fat mass between groups (Classical, Spanish and Flamenco) were tested by using repeated measures analysis (ANOVA). Also, Pearson's product-moment correlations were performed on the body fat percentage values obtained using both methods. In addition, Bland-Altman plots were used to assess agreement, between anthropometric and BIA methods. Repeated measures analysis of variance did not found differences in %BF between modalities (p<0.05). Fat percentage correlations ranged from r= 0.57 to r=0.97 (all, p<0.001). Bland-Altman analysis revealed differences between BIA Yannakoulia as a reference method with BIA Segal (-0.35 ± 2.32%, 95%CI: -0.89to 0.18, p=0.38), with BIA Sun (-0.73 ± 2.3%, 95%CI: -1.27 to -0.20, p=0.014) and Durnin-Womersley (-2.65 ± 2,48%, 95%CI: -3.22 to -2.07, p<0.0001). It was concluded that body fat percentage estimates by BIA compared with skinfold method were systematically different in young adult female ballet dancers, having a tendency to produce underestimations as %BF increased with Segal and Durnin-Womersley equations compared to Yannakoulia, concluding that these methods are not interchangeable.