Males and females with first episode psychosis present distinct profiles of social cognition and metacognition

Altres ajuts: Royal Society of New Zealand - Marsden (E2987-3648) ; Obra Social La Caixa (RecerCaixa call 2013) ; Obra Social Sant Joan de Déu BML (RTI2018-100927-J-I00) ; Ministerio Regional de Salud AndaluzDeficits in social cognition and metacognition impact the course of psychosis. Sex diferences in social cognition and metacognition could explain heterogeneity in psychosis. 174 (58 females) patients with frst-episode psychosis completed a clinical, neuropsychological, social cognitive, and metacognitive assessment. Subsequent latent profle analysis split by sex yielded two clusters common to both sexes (a Homogeneous group, 53% and 79.3%, and an Indecisive group, 18.3% and 8.6% of males and females, respectively), a specifc male profle characterized by presenting jumping to conclusions (28.7%) and a specifc female profle characterized by cognitive biases (12.1%). Males and females in the homogeneous profle seem to have a more benign course of illness. Males with jumping to conclusions had more clinical symptoms and more neuropsychological defcits. Females with cognitive biases were younger and had lower self-esteem. These results suggest that males and females may beneft from specifc targeted treatment and highlights the need to consider sex when planning interventions

Validation and psychometric analysis of the Internet Addiction Test in Spanish among college students

BACKGROUND: The wide use of the Internet in the workplace, academic or social field, can have an impact on daily life. One of the most used questionnaires worldwide to analyse these problems is the Internet Addiction Test (IAT). Our aim was to validate a Spanish version of the IAT and analyse its psychometric properties. METHODS: Population of study were college students participating in the uniHcos project (Universities of Granada, Huelva, Jaén, León, Salamanca, and Vigo). The questionnaire was translated and back-translated by two native English speakers. Reliability of scores was analysed using Pearson's correlation coefficient and agreement was analysed using the Bland-Altman and Kappa techniques. Test dimensions were analysed by exploratory and confirmatory factor analysis. RESULTS: The reliability of scores was good (r = 0.899, Kappa = 0.650 and mean difference using Bland-Altman = -3.5). The psychometric assessment identified two factors (Emotional Investment; Performance and Time Management) which explained 55 % of the variance (total internal consistency of 0.91) and only 19 items. The confirmatory analysis showed an acceptable goodness of fit, especially when items 6 and 8 were related (RMSEA = 0.07 90%IC = 0.06 - 0.08; WRMR = 1.01, CFI = 0.96; TLI = 0.95). The two dimensions were negatively correlated with age and positively correlated with time spent online, especially for the purposes of leisure and entertainment. DISCUSSION: The results show good reliability and psychometric properties of the Spanish version of IAT with a two-dimensional solution. This result is partially in concordance with previous validations of the IAT in other languages that have found uni- and multi-dimensional solutions using different methodologies. Moreover, we want to highlight the possibility that some item of this questionnaire is outdated due to the technological and lifestyles changes and should be not taken into account. CONCLUSION: The reliability and psychometric properties obtained in this study support the conclusion that this Spanish short version of the IAT represents a useful tool for the analysis of problems arising from misuse of the Internet

Design and implementation of Integrated Didactic Units: CLIL in action

Este trabajo desarrolla el diseño y la implementación de Unidades Didácticas Integradas (UDI) en el marco de la educación superior siguiendo el enfoque AICLE (Aprendizaje Integrado de Contenidos y Lenguas Extranjeras). El diseño y la implementación de una metodología conjunta ha permitido poner en práctica dichas UDI durante el curso 2015/2016 en diferentes ámbitos de contenido. Ello ha ofrecido datos relevantes sobre el nivel de lengua y contenidos que el alumnado ha adquirido. La integración de diferentes áreas en las dos ramas de conocimiento (Ciencias Sociales e Ingeniería) ha constituido un marco interesante y especialmente adecuado para la puesta en práctica de estas UDI en el marco de la Educación Superior Europea.This paper addresses the design and implementation of Integrated Didactic Units (IDUs) within Higher Education following the CLIL (Content and Language Integrated Learning) approach. The design of a joint methodology for different content areas has allowed the teaching staff herein to implement different IDUs along the 2015/2016 academic year. The data collected on initial and final language level and contents from the joint and complementary work of two different content areas (Social Sciences and Engineering) has offered an interesting working framework which we consider suitable for an EHEA teaching innovation after the analysis and discussion of our results

Nutrición enteral domiciliaria en España: registro Nadya del año 2011-2012

Objective: To describe the results of the home enteral nutrition (HEN) registry of the NADYA-SENPE group in 2011 and 2012. Material and methods: We retrieved the data of the patients recorded from January 1st 2011 to December 31st 2012. Results: There were 3021 patients in the registry during the period from 29 hospitals, which gives 65.39 per million inhabitants. 97.95% were adults, 51.4% male. Mean age was 67.64 ± 19.1, median age was 72 years for adults and 7 months for children. Median duration with HEN was 351 days and for 97.5% was their first event with HEN. Most patients had HEN because of neurological disease (57.8%). Access route was nasogastric tube for 43.5% and gastrostomy for 33.5%. Most patients had limited activity level and, concerning autonomy, 54.8% needed total help. Nutritional formula was supplied from chemist’s office to 73.8% of patients and disposables, when necessary, was supplied from hospitals to 53.8% of patients. HEN was finished for 1,031 patients (34.1%) during the period of study, 56.6% due to decease and 22.2% due to recovery of oral intake. Conclusions: Data from NADYA-SENPE registry must be explained cautiously because it is a non-compulsory registry. In spite of the change in the methodology of the registry in 2010, tendencies regarding HEN have been maintained, other than oral routeObjetivos: Describir los resultados del registro de nutrición enteral domiciliaria (NED) del grupo NADYASENPE de los años 2011 y 12. Material y métodos: Se recopilaron los datos introducidos en el registro desde el 1 de enero de 2011 al 31 de diciembre de 2012. Resultados: Hubo 3021 pacientes en el registro durante el periodo, procedentes de 29 hospitales, lo que da una prevalencia de 65,39 casos por millón de habitantes. 97.95% fueron adultos, 51,4% varones. La edad media fue 67,64 ± 19,1 años y la mediana 72 años para los adultos y 7 meses para los niños. La duración media de la NED fue 351 días y para el 97,5% fue el primer episodio con NED. La mayoría de pacientes tenían NED por una enfermedad neurológica (57,8%). La vía de acceso fue sonda nasogástrica para el 43,5% y gastrostomía para el 33,5%. La mayoría de pacientes tuvieron un nivel de actividad física limitado y, respecto a la autonomía, 54,8% necesitaba ayuda total. La fórmula de nutrición se suministró desde las oficinas de farmacia para el 73,8% y los fungibles, cuando fueron necesarios, desde los hospitales para el 53,8%. La NED se suspendió en 1.031 pacientes (34,1%) durante el periodo de estudio, 56,6% debido a fallecimiento y 22,2% debido a recuperación de la vía oral. Conclusiones: Los datos del registro NADYA-SENPE deben ser interpretados con precaución ya que se trata de un registro voluntario. A pesar del cambio de metodología del registro en 2010, las tendencias en NED se han mantenido, salvo la importancia cuantitativa de la vía ora

Impact of the Spanish Smoking Law on Exposure to Second-Hand Smoke and Respiratory Health in Hospitality Workers: A Cohort Study

A smoke-free law came into effect in Spain on 1st January 2006, affecting all enclosed workplaces except hospitality venues, whose proprietors can choose among totally a smoke-free policy, a partial restriction with designated smoking areas, or no restriction on smoking on the premises. We aimed to evaluate the impact of the law among hospitality workers by assessing second-hand smoke (SHS) exposure and the frequency of respiratory symptoms before and one year after the ban

Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT

The main objective of this work is to develop and evaluate an artificial intelligence system based on deep learning capable of automatically identifying, quantifying, and characterizing COVID-19 pneumonia patterns in order to assess disease severity and predict clinical outcomes, and to compare the prediction performance with respect to human reader severity assessment and whole lung radiomics. We propose a deep learning based scheme to automatically segment the different lesion subtypes in nonenhanced CT scans. The automatic lesion quantification was used to predict clinical outcomes. The proposed technique has been independently tested in a multicentric cohort of 103 patients, retrospectively collected between March and July of 2020. Segmentation of lesion subtypes was evaluated using both overlapping (Dice) and distance-based (Hausdorff and average surface) metrics, while the proposed system to predict clinically relevant outcomes was assessed using the area under the curve (AUC). Additionally, other metrics including sensitivity, specificity, positive predictive value and negative predictive value were estimated. 95% confidence intervals were properly calculated. The agreement between the automatic estimate of parenchymal damage (%) and the radiologists' severity scoring was strong, with a Spearman correlation coefficient (R) of 0.83. The automatic quantification of lesion subtypes was able to predict patient mortality, admission to the Intensive Care Units (ICU) and need for mechanical ventilation with an AUC of 0.87, 0.73 and 0.68 respectively. The proposed artificial intelligence system enabled a better prediction of those clinically relevant outcomes when compared to the radiologists' interpretation and to whole lung radiomics. In conclusion, deep learning lesion subtyping in COVID-19 pneumonia from noncontrast chest CT enables quantitative assessment of disease severity and better prediction of clinical outcomes with respect to whole lung radiomics or radiologists' severity score

Effectiveness of an mHealth intervention combining a smartphone app and smart band on body composition in an overweight and obese population: Randomized controlled trial (EVIDENT 3 study)

Background: Mobile health (mHealth) is currently among the supporting elements that may contribute to an improvement in health markers by helping people adopt healthier lifestyles. mHealth interventions have been widely reported to achieve greater weight loss than other approaches, but their effect on body composition remains unclear. Objective: This study aimed to assess the short-term (3 months) effectiveness of a mobile app and a smart band for losing weight and changing body composition in sedentary Spanish adults who are overweight or obese. Methods: A randomized controlled, multicenter clinical trial was conducted involving the participation of 440 subjects from primary care centers, with 231 subjects in the intervention group (IG; counselling with smartphone app and smart band) and 209 in the control group (CG; counselling only). Both groups were counselled about healthy diet and physical activity. For the 3-month intervention period, the IG was trained to use a smartphone app that involved self-monitoring and tailored feedback, as well as a smart band that recorded daily physical activity (Mi Band 2, Xiaomi). Body composition was measured using the InBody 230 bioimpedance device (InBody Co., Ltd), and physical activity was measured using the International Physical Activity Questionnaire. Results: The mHealth intervention produced a greater loss of body weight (–1.97 kg, 95% CI –2.39 to –1.54) relative to standard counselling at 3 months (–1.13 kg, 95% CI –1.56 to –0.69). Comparing groups, the IG achieved a weight loss of 0.84 kg more than the CG at 3 months. The IG showed a decrease in body fat mass (BFM; –1.84 kg, 95% CI –2.48 to –1.20), percentage of body fat (PBF; –1.22%, 95% CI –1.82% to 0.62%), and BMI (–0.77 kg/m2, 95% CI –0.96 to 0.57). No significant changes were observed in any of these parameters in men; among women, there was a significant decrease in BMI in the IG compared with the CG. When subjects were grouped according to baseline BMI, the overweight group experienced a change in BFM of –1.18 kg (95% CI –2.30 to –0.06) and BMI of –0.47 kg/m2 (95% CI –0.80 to –0.13), whereas the obese group only experienced a change in BMI of –0.53 kg/m2 (95% CI –0.86 to –0.19). When the data were analyzed according to physical activity, the moderate-vigorous physical activity group showed significant changes in BFM of –1.03 kg (95% CI –1.74 to –0.33), PBF of –0.76% (95% CI –1.32% to –0.20%), and BMI of –0.5 kg/m2 (95% CI –0.83 to –0.19). Conclusions: The results from this multicenter, randomized controlled clinical trial study show that compared with standard counselling alone, adding a self-reported app and a smart band obtained beneficial results in terms of weight loss and a reduction in BFM and PBF in female subjects with a BMI less than 30 kg/m2 and a moderate-vigorous physical activity level. Nevertheless, further studies are needed to ensure that this profile benefits more than others from this intervention and to investigate modifications of this intervention to achieve a global effect

Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

Altres ajuts: Generalitat de Catalunya, Departament de Salut; Generalitat de Catalunya, Departament d'Empresa i Coneixement i CERCA Program; Ministerio de Ciencia e Innovación; Instituto Nacional de Bioinformática; ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa; European Regional Development Fund (FEDER).Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)

Environmental effects of ozone depletion, UV radiation and interactions with climate change : UNEP Environmental Effects Assessment Panel, update 2017

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