Job satisfaction, life satisfaction and self-esteem in a compared sample of subjects with no higher and higher education

En la siguiente investigación nos centramos en investigar cómo la satisfacción laboral, satisfacción vital y autoestima se ven afectadas por el nivel de estudios de una muestra de trabajadores españoles. Siguiendo numerosos estudios como los de Pichler y Wallace (2009), creemos que el nivel educativo superior correlacionará con las tres variables evaluadas. Nuestros datos confirman la hipótesis de que un nivel de estudios superior llevaría a las personas a un nivel de bienestar más elevado, pues encontramos que puntúan más alto tanto en satisfacción laboral como en satisfacción vital, no encontrándose diferencias significativas en cuanto a la autoestima. Palabras clave: satisfacción laboral, satisfacción vital, autoestima.The aim of this research is to look into how affected are job satisfaction, life satisfaction and self-esteem by the studies level of a Spanish workers sample. Following numerous studies like Pichler y Wallace (2009), we think that higher education level will correlate with the three evaluated variables. Our data support the hypothesis that a higher level of studies would lead people to a raised level of well -being, because of we found that they score higher in both job satisfaction and life satisfaction, no significant differences in self-esteem came upon.ReiDoCrea. Departamento de Psicología Social. Universidad de Granada

Investigating the Contribution of Decision-Making, Cognitive Insight, and Theory of Mind in Insight in Schizophrenia: A Cross-Sectional Study

INTRODUCTION: Insight in schizophrenia spectrum disorders (SSD) is associated with outcomes. Although the neurocognitive basis of insight is widely accepted, the specific contribution of decision-making (Jumping to Conclusions [JTC]), Cognitive Insight (CI), and Theory of Mind (ToM) to insight remains unclear. METHODS: The sample included N = 77 SSD outpatients aged 18–64 years from a randomized controlled trial of metacognitive training. Assessments included JTC-Beads Task, CI-Beck Cognitive Insight Scale, ToM-Hinting Task, and the Emotions Recognition Test Faces. STATISTICS: hierarchical multivariable linear regression models tested their contribution to total insight (TI) and three insight dimensions – illness recognition (IR), symptom relabelling (SR), and treatment compliance (TC) – measured with the Schedule for the Assessment of Insight – Expanded version, whilst adjusting for potential confounders. RESULTS: Bivariate analyses showed that CI was associated with TI (R2 change = 0.214; p < 0.001), IR (R2 change = 0.154; p = 0.003), and SR (R2 change = 0.168; p = 0.003), while JTC predicted IR (R2 change = 0.790; p = 0.020). Multivariable regression models showed that CI predicted TI (R2 change = 0.116; p = 0.036) and SR (R2 change = 0.166, p = 0.011), whereas JTC was linked with IR (R2 change = 0.710; p = 0.026). ToM was not linked with any insight score. No cognitive variable was associated with treatment compliance. DISCUSSION: Results supported the (meta)cognitive model of insight in SSD. JTC and CI emerged as the main (meta)cognitive processes underlying insight. Metacognitive interventions may therefore improve insight in SSD, although these therapies alone may fail to address treatment compliance

Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia

Background: Although insight in schizophrenia spectrum disorders (SSD) has been associated with positive outcomes, the effect size of previous treatments on insight has been relatively small to date. The metacognitive basis of insight suggests that metacognitive training (MCT) may improve insight and clinical outcomes in SSD, although this remains to be established. Methods: This single-center, assessor-blind, parallel-group, randomised clinical trial (RCT) aims to investigate the efficacy of MCT for improving insight (primary outcome), including clinical and cognitive insight, which will be measured by the Schedule for Assessment of Insight (Expanded version) (SAI-E) and the Beck Cognitive Scale (BCIS), respectively, in (at least) n = 126 outpatients with SSD at three points in time: i) at baseline (T0); ii) after treatment (T1) and iii) at 1-year follow-up (T2). SSD patients receiving MCT and controls attending a non-intervention support group will be compared on insight level changes and several clinical and cognitive secondary outcomes at T1 and T2, whilst adjusting for baseline data. Ecological momentary assessment (EMA) will be piloted to assess functioning in a subsample of participants. Discussion: To the best of our knowledge, this will be the first RCT testing the effect of group MCT on multiple insight dimensions (as primary outcome) in a sample of unselected patients with SSD, including several secondary outcomes of clinical relevance, namely symptom severity, functioning, which will also be evaluated with EMA, hospitalizations and suicidal behaviour.This study was supported by the Universidad Autónoma de Madrid and European Union via the Intertalentum Project Grant-Marie Skłodowska Curie Actions (GA 713366) to JDLM who is the Princiapl Investigator. This grant therefore funds both JDLM’s salary and the consumable expenses related to the study. JDLM, VGRR, ASEM, MLBE, LMI, LML, SSA, AAR and EBG’s salaries come from the Hospital Universitario Fundación Jiménez Díaz, where this study is currently being carried out, which therefore provides the necessary institutional/departmental support for its development. Additional departmental support concerning the use of Ecological Momentary Assessment (see Methods section, page 11 -last paragraph- and page 12 –first paragraph-, for details) is provided by the Instituto de Salud Carlos III (Madrid, Spain) (ISCIII PI16/01852) and the Madrid Regional Government (Madrid, Spain) (B2017/BMD-3740 AGES-CM 2CM; Y2018/TCS-4705 PRACTICO-CM). ASD acknowledges funding supports from University College London, which covers his salar

Investigating the Role of Insight, Decision-Making and Mentalizing in Functional Outcome in Schizophrenia: A Cross-Sectional Study

Background: Recovery has become a priority in schizophrenia spectrum disorders (SSDs). This study aimed to investigate predictors of objective—general functioning and disability—and subjective—quality of life (QoL)—measures of functional outcomes in SSD. Methods: Sample: n = 77 SSD outpatients (age 18–64, IQ > 70) participating in a randomised controlled trial. Baseline data were used to build three multivariable linear regression models on: (i) general functioning—General Assessment of Functioning (GAF); (ii) disability—the World Health Organization Disability Assessment Schedule (WHODAS-2.0); and (iii) QoL—Satisfaction Life Domains Scale (SLDS). Results: Young age and being employed (R2 change = 0.211; p = 0.001), late adolescence premorbid adjustment (R2 change = 0.049; p = 0.0050), negative symptoms and disorganization (R2 change = 0.087; p = 0.025) and Theory of Mind (R2 change = 0.066, p = 0.053) predicted general functioning. Previous suicidal behaviour (R2 change = 0.068; p = 0.023) and negative and depressive symptoms (R2 change = 0.167; p = 0.001) were linked with disability. Previous suicidal behaviour (R2 change = 0.070, p = 0.026), depressive symptoms (R2 change = 0.157; p < 0.001) and illness recognition (R2 change = 0.046, p = 0.044) predicted QoL. Conclusions: Negative, disorganization and depressive symptoms, older age, unemployment, poor premorbid adjustment, previous suicide attempts and illness awareness appear to underlie a poor global functional outcome in SSD. Achieving recovery in SSD appears to require both symptomatic remission (e.g., through antipsychotics) and measures to improve mastery and relieve low mood

Usos del e‐learning en las Universidades Andaluzas: estado de la situación y análisis de buenas prácticas. (Resumen ejecutivo).

Secretaría General de Universidades, Investigación y Tecnología P07-SE-J.0267

Usos del e-learning en las Universidades Andaluzas: Estado de la situación y análisis de buenas prácticas. (Versión completa)

Secretaría General de Universidades, Investigación y Tecnología P07-SE-J.0267

Spatiotemporal Characteristics of the Largest HIV-1 CRF02_AG Outbreak in Spain: Evidence for Onward Transmissions

Background and Aim: The circulating recombinant form 02_AG (CRF02_AG) is the predominant clade among the human immunodeficiency virus type-1 (HIV-1) non-Bs with a prevalence of 5.97% (95% Confidence Interval-CI: 5.41–6.57%) across Spain. Our aim was to estimate the levels of regional clustering for CRF02_AG and the spatiotemporal characteristics of the largest CRF02_AG subepidemic in Spain.Methods: We studied 396 CRF02_AG sequences obtained from HIV-1 diagnosed patients during 2000–2014 from 10 autonomous communities of Spain. Phylogenetic analysis was performed on the 391 CRF02_AG sequences along with all globally sampled CRF02_AG sequences (N = 3,302) as references. Phylodynamic and phylogeographic analysis was performed to the largest CRF02_AG monophyletic cluster by a Bayesian method in BEAST v1.8.0 and by reconstructing ancestral states using the criterion of parsimony in Mesquite v3.4, respectively.Results: The HIV-1 CRF02_AG prevalence differed across Spanish autonomous communities we sampled from (p &lt; 0.001). Phylogenetic analysis revealed that 52.7% of the CRF02_AG sequences formed 56 monophyletic clusters, with a range of 2–79 sequences. The CRF02_AG regional dispersal differed across Spain (p = 0.003), as suggested by monophyletic clustering. For the largest monophyletic cluster (subepidemic) (N = 79), 49.4% of the clustered sequences originated from Madrid, while most sequences (51.9%) had been obtained from men having sex with men (MSM). Molecular clock analysis suggested that the origin (tMRCA) of the CRF02_AG subepidemic was in 2002 (median estimate; 95% Highest Posterior Density-HPD interval: 1999–2004). Additionally, we found significant clustering within the CRF02_AG subepidemic according to the ethnic origin.Conclusion: CRF02_AG has been introduced as a result of multiple introductions in Spain, following regional dispersal in several cases. We showed that CRF02_AG transmissions were mostly due to regional dispersal in Spain. The hot-spot for the largest CRF02_AG regional subepidemic in Spain was in Madrid associated with MSM transmission risk group. The existence of subepidemics suggest that several spillovers occurred from Madrid to other areas. CRF02_AG sequences from Hispanics were clustered in a separate subclade suggesting no linkage between the local and Hispanic subepidemics

Can metacognitive interventions improve insight in schizophrenia spectrum disorders? A systematic review and meta-analysis

Background: Patients with schizophrenia spectrum disorders (SSD) tend to lack insight, which is linked to poor outcomes. The effect size of previous treatments on insight changes in SSD has been small. Metacognitive interventions may improve insight in SSD, although this remains unproved. Methods: We carried out a systematic review and meta-analysis of randomized controlled trials (RCTs) to examine the effects of metacognitive interventions designed for SSD, namely Metacognitive Training (MCT) and Metacognitive Reflection and Insight Therapy (MERIT), on changes in cognitive and clinical insight at post-treatment and at follow-up. Results: Twelve RCTs, including 10 MCT RCTs (n = 717 participants) and two MERIT trials (n = 90), were selected, totalling N = 807 participants. Regarding cognitive insight six RCTs (n = 443) highlighted a medium effect of MCT on self-reflectiveness at post-treatment, d = 0.46, p < 0.01, and at follow-up, d = 0.30, p < 0.01. There was a small effect of MCT on self-certainty at post-treatment, d = −0.23, p = 0.03, but not at follow-up. MCT was superior to controls on an overall Composite Index of cognitive insight at post-treatment, d = 1.11, p < 0.01, and at follow-up, d = 0.86, p = 0.03, although we found evidence of heterogeneity. Of five MCT trials on clinical insight (n = 244 participants), which could not be meta-analysed, four of them favoured MCT compared v. control. The two MERIT trials reported conflicting results. Conclusions: Metacognitive interventions, particularly Metacognitive Training, appear to improve insight in patients with SSD, especially cognitive insight shortly after treatment. Further long-term RCTs are needed to establish whether these metacognitive interventions-related insight changes are sustained over a longer time period and result in better outcomes

Use of ecological momentary assessment through a passive smartphone-based app (eB2) by patients with schizophrenia: Acceptability study

Background: Ecological momentary assessment (EMA) tools appear to be useful interventions for collecting real-time data on patients behavior and functioning. However, concerns have been voiced regarding the acceptability of EMA among patients with schizophrenia and the factors influencing EMA acceptability. Objective: The aim of this study was to investigate the acceptability of a passive smartphone-based EMA app, evidence-based behavior (eB2), among patients with schizophrenia spectrum disorders and the putative variables underlying their acceptance. Methods: The participants in this study were from an ongoing randomized controlled trial (RCT) of metacognitive training, consisting of outpatients with schizophrenia spectrum disorders (F20-29 of 10th revision of the International Statistical Classification of Diseases and Related Health Problems), aged 18-64 years, none of whom received any financial compensation. Those who consented to installation of the eB2 app (users) were compared with those who did not (nonusers) in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight, and metacognitive variables. A multivariable binary logistic regression tested the influence of the above (independent) variables on being user versus nonuser (acceptability), which was the main outcome measure. Results: Out of the 77 RCT participants, 24 (31%) consented to installing eB2, which remained installed till the end of the study (median follow-up 14.50 weeks) in 14 participants (70%). Users were younger and had a higher education level, better premorbid adjustment, better executive function (according to the Trail Making Test), and higher cognitive insight levels (measured with the Beck Cognitive Insight Scale) than nonusers (univariate analyses) although only age (OR 0.93, 95% CI 0.86-0.99; P=048) and early adolescence premorbid adjustment (OR 0.75, 95% CI 0.61-0.93; P=01) survived the multivariable regression model, thus predicting eB2 acceptability. Conclusions: Acceptability of a passive smartphone-based EMA app among participants with schizophrenia spectrum disorders in this RCT where no participant received financial compensation was, as expected, relatively low, and linked with being young and good premorbid adjustment. Further research should examine how to increase EMA acceptability in patients with schizophrenia spectrum disorders, in particular, older participants and those with poor premorbid adjustment.This study was supported by the Universidad Autónoma de Madrid and European Union via the Intertalentum Project Grant-Marie Skodowska Curie Actions (GA 713366) to JDLM who is the principal investigator. This grant, therefore, funds both JDLM's salary and the consumable expenses related to the study. MLB, VGRR, ASEM, PJEA, SSA, LMI, LML, and EBG's salaries come from the Hospital Universitario Fundación Jiménez Díaz, where this study is currently being carried out, which therefore provides the necessary institutional/departmental support for its development. Additional departmental support concerning the use of EMA is provided by the Instituto de Salud Carlos III (Madrid, Spain) (ISCIII PI16/01852), the Madrid Regional Government (Madrid, Spain) (B2017/BMD-3740 AGES-CM 2CM; Y2018/TCS-4705 PRACTICO-CM), and the Spanish Ministerio de Ciencia, Innovación y Universidades (TEC2017-92552-EXP). ASD acknowledges funding support from University College London, which covers his salary. The funders had no role in hypothesis generation, study design, decision to publish, or the manuscript writing. No funder has a conflict of interest in relation to the study's results and findings. The funding bodies supported the peer review for this manuscript

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts