1,720,973 research outputs found
Sleep quality in individuals with post-COVID-19 condition: relation with emotional, cognitive and functional variables
Full text linkThe study aimed to assess sleep quality in PCC patients and its predictors by analysing its relationship with emotional, cognitive and functional variables, as well as possible differences based on COVID-19 severity. We included 368 individuals with PCC and 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575). We assessed sleep quality (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive Assessment, MoCA), everyday memory failures (Memory Failures of Everyday Questionnaire, MFE-30), fatigue (Chadler Fatigue Questionnaire, CFQ), quality of life (European Quality of Life-5 Dimensions, EQ-5D), and physical activity levels (International Physical Activity Questionnaire, IPAQ). 203 were nonhospitalized, 83 were hospitalized and 82 were admitted to the intensive care unit (ICU). We found statistically significant differences in the PSQI total score between the PCC and HC groups (p < 0.0001), but there were no differences among the PCC groups. In the multiple linear regressions, the PHQ-9 score was a predictor of poor sleep quality for mild PCC patients (p = 0.003); GAD-7 (p = 0.032) and EQ-5D (p = 0.011) scores were predictors of poor sleep quality in the hospitalized PCC group; and GAD-7 (p = 0.045) and IPAQ (p = 0.005) scores were predictors of poor sleep quality in the group of ICU-PCC. These results indicate that worse sleep quality is related to higher levels of depression and anxiety, worse quality of life and less physical activity. Therapeutic strategies should focus on these factors to have a positive impact on the quality of sleep.This research was supported by: Grants from the Agency for Management of University and Research Grants (AGAUR) from the Generalitat de Catalunya (Pandemies, 202PANDE00053) and La Marató de TV3 Foundation (202111-30-31-32) to MG.- Grants from the Instituto de Salud Carlos III de Madrid (PI22/01687, ISCIII) and Agency for Management of University and Research Grants (2021SGR 00761) to GPR.Peer ReviewedMembres del NAUTILUS-Project Collaborative Group: Vanesa Arauzo j, Jose A. Bernia j, Marta Balague-Marmaña k, Berta Valles-Pauls k, Ester Gonzalez-Aguado l, Carme Tayó-Juli l, Eva Forcadell-Ferreres m, Silvia Reverte-Vilarroya m, Susanna Forné n, Anna Bartes-Plans o, Jordina Muñoz-Padros o, Jose A. Muñoz-Moreno p, Anna Prats-Paris p, Inmaculada Rico q, Nuria Sabé q, Marta Almeria r, Laura Casas r, Maria José Ciudad s, Anna Ferré s, Tamar Garzon t, Marta Cullell u, Sonia Vega u, Sílvia Alsina v, Maria J. Maldonado-Belmonte w, Susana Vazquez-Rivera w, Eva Baillès x, Sandra Navarro x / j Consorci Sanitari de Terrassa (CST), Terrassa, Spain; k Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral Jesús Caballero, Hospital Universitari Arnau de Vilanova, Lleida, Spain; l Consorci Sanitari Alt Penedès-Garraf, Vilafranca de Penedés, Barcelona, Spain; m Hospital Verge de la Cinta, Tortosa, Tarragona, Spain; n Fundació Sant Hospital de la Seu d’Urgell, La Seu d’Urgell, Lleida, Spain; o Consorci Hospitalari de Vic, Vic, Barcelona, Spain; p Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions – Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain;
q Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; r Hospital Universitari Mútua Terrassa, Terrassa, Barcelona, Spain; s Badalona Serveis Assistencials, Badalona, Barcelona, Spain; t Manuela Lozano, Institut d’Assistència Sanitària, Girona, Spain; u Fundació Salut Empordà, Figueres, Girona, Spain; v
Fundació Hospital de Puigcerdà, Puigcerdà, Girona, Spain; w Hospital Universitario Central de la Cruz Roja San José y Santa Adela, Madrid, Spain; x Servei Andorrà d’Atenció Sanitària (SAAS), AndorraPostprint (published version
Cognitive and emotional predictors of quality of life and functioning after COVID-19
Full text linkObjective: A long-term decline in health-related quality of life (HRQoL) has been reported after coronavirus disease 2019 (COVID-19). Studies with people with persistent symptoms showed inconsistent outcomes. Cognition and emotion are important determinants in HRQoL, but few studies have examined their prognostic significance for HRQoL and functionality in post-COVID patients with persisting symptoms. We aimed to describe QoL, HRQoL, and functioning in individuals post-COVID with varying COVID-19 severities and to investigate the predictive value of cognitive and emotional variables for QoL, HRQoL, and functioning.
Methods: In total, 492 participants (398 post-COVID and 124 healthy controls) underwent a neurobehavioral examination that included assessments of cognition, mood, QoL/HRQoL (WHOQOL-BREF, EQ-5D), and functioning (WHODAS-II). Analysis of covariance and linear regression models were used to study intergroup differences and the relationship between cognitive and emotional variables and QoL and functioning.
Results: The Physical and Psychological dimensions of WHOQoL, EQ-5D, and WHODAS Cognition, Mobility, Life Activities, and Participation dimensions were significantly lower in post-COVID groups compared with a control group. Regression models explaining 23.9%–53.9% of variance were obtained for the WHOQoL-BREF dimensions and EQ-5D, with depressive symptoms, post-COVID symptoms, employment status, income, and mental speed processing as main predictors. For the WHODAS, models explaining 17%–60.2% of the variance were obtained. Fatigue, depressive symptoms, mental speed processing, and post-COVID symptoms were the main predictors.
Interpretation: QoL/HRQoL and functioning after COVID-19 in individuals with persistent symptoms were lower than in non-affected persons. Depressive symptoms, fatigue, and slower mental processing speed were predictors of lower QoL/HRQoL and functioning.This research was supported by the Agency for Management of University and Research Grants (AGAUR) from the Generalitat de Catalunya (Pandemies, 202PANDE00053) and La Marató de TV3 Foundation (202111-30-31-32).Peer ReviewedMembres del NAUTILUS-Project Collaborative Group: Jose A. Bernia, Servei d’Anestesia Reanimacio i Clinica del Dolor, Consorci Sanitari de Terrassa (CST) (Terrassa,Barcelona, Spain); Vanesa Arauzo, Servei de Medicina Intensiva, Consorci Sanitari de Terrassa (CST) (Terrassa, Barcelona, Spain); Marta Balague-Marmaña, Hospital Sant Joan Despı Moises Broggi, Consorci Sanitari Integral (Sant Joan Despı, Spain); Cristian Perez-Pellejero, Hospital Sant Joan Despı Moises Broggi, Consorci Sanitari Integral (Sant Joan Despı, Barcelona, Spain); Silvia Cañizares, Hospital Clinic de Barcelona (Barcelona, Spain); Jose Antonio Lopez Muñoz, Occupational Health CareService, Hospital Clınic (Barcelona, Spain); Jesus Caballero, Hospital Universitari Arnau de Vilanova (Lleida, Spain); Anna Carnes-Vendrell, Hospital Universitari de Santa Maria (Lleida, Spain); Gerard Piñol-Ripoll, Hospital Universitari de Santa Maria (Lleida, Spain); Ester Gonzalez-Aguado, Consorci Sanitari Alt Penedes-Garraf (Vilafranca de Penedes, Barcelona, Spain); Carme Tayo-Juli, Consorci Sanitari Alt Penedes-Garraf (Vilafranca de Penedes, Barcelona, Spain); Eva Forcadell-Ferreres, Hospital Verge de la Cinta,(Tortosa, Tarragona, Spain); Silvia Reverte-Vilarroya, Hospital Verge de la Cinta, (Tortosa, Tarragona, Spain); Susanna Forne, Fundacio Sant Hospital de la Seu d’Urgell (La Seu d’Urgell, Lleida, Spain); Jordina Muñoz-Padros, Consorci Hospitalari de Vic (Vic, Barcelona, Spain); Anna Bartes-Plan, Consorci Hospitalari de Vic (Vic,Barcelona, Spain); Jose A. Muñoz-Moreno, Servei de Malalties Infeccioses, Fundacio Lluita contra les Infeccions - Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain); Anna Prats-Paris, Servei de Malalties Infeccioses, Fundacio Lluita contra les Infeccions - Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain); Anna Gasa-Roque, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain); Laura Casas Valls, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain); Marta Almeria, Hospital Universitari Mutua Terrassa (Terrassa, Barcelona, Spain); Judith Castejon, Hospital Universitari Mutua Terrassa (Terrassa, Barcelona, Spain); Maria Jose Ciudad, Badalona Serveis Assistencials (Badalona, Barcelona, Spain); Anna Ferre, Badalona Serveis Assistencials (Badalona,Barcelona, Spain); Manuela Lozano, Institut d’Assistencia Sanitaria(Girona, Spain); Tamar Garzon, Institut d’Assistencia Sanitaria (Girona,Spain); Marta Cullell, Fundacio Salut Emporda (Figueres, Girona, Spain): Sonia Vega, Fundacio Salut Emporda (Figueres, Girona, Spain). Sılvia Alsina, Fundacio Hospital de Puigcerda (Puigcerda, Girona, Spain); Maria J. Maldonado-Belmonte, Hospital Universitario Central de la Cruz Roja San Jose y Santa Adela (Madrid, Spain); Susana Vazquez-Rivera, Hospital Universitario Central de la Cruz Roja San Jose y Santa Adela (Madrid, Spain); Eloy Garcıa-Cabello, Clınica Universitaria de Psicologıa, Facultad de Ciencias de la Salud, Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain); Yaiza Molina, Clınica Universitaria de Psicologıa, Facultad de Ciencias de la Salud, Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain); Sandra Navarro, Servei Andorra d’Atencio Sanitaria (SAAS) (Andorra); Eva Bailles, Servei Andorra d’Atencio Sanitaria (SAAS) (Andorra).Postprint (published version
Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19
Full text linkThe risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group of post-COVID-19 condition (PCC) participants with neuropsychological impairment. The study sample included 426 participants with PCC who underwent a neurobehavioral evaluation. We selected seven mental speed processing and executive function variables to obtain a data-driven partition. Clustering algorithms were applied, including K-means, bisecting K-means, and Gaussian mixture models. Different machine learning algorithms were then used to obtain a classifier able to separate the two clusters according to the demographic, clinical, emotional, and lifestyle variables, including logistic regression with least absolute shrinkage and selection operator (LASSO) (L1) and Ridge (L2) regularization, support vector machines (linear/quadratic/radial basis function kernels), and decision tree ensembles (random forest/gradient boosting trees). All clustering quality measures were in agreement in detecting only two clusters in the data based solely on cognitive performance. A model with four variables (cognitive reserve, depressive symptoms, obesity, and change in work situation) obtained with logistic regression with LASSO regularization was able to classify between good and poor cognitive performers with an accuracy and a weighted averaged precision of 72%, a recall of 73%, and an area under the curve of 0.72. PCC individuals with a lower cognitive reserve, more depressive symptoms, obesity, and a change in employment status were at greater risk for poor performance on tasks requiring mental processing speed and executive function.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research was supported by the Agency for Management of University and Research Grants (AGAUR) from the Generalitat de Catalunya (Pandemies, 2020PANDE00053), the La Marató de TV3 Foundation (202111–30-31–32), the Ministerio de Ciencia e Innovación (TED2021-130409B-C55).Peer ReviewedMembres del NAUTILUS-Project Collaborative Group: Jose A. Bernia, Servei d’Anestesia Reanimació i Clinica del Dolor, Consorci Sanitari de Terrassa (CST) (Terrassa, Barcelona, Spain). Vanesa Arauzo, Servei de Medicina Intensiva. Consorci Sanitari de Terrassa (CST) (Terrassa, Barcelona, Spain). Marta Balague Marmaña, Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral (Sant Joan Despí, Spain). Pérez-Pellejero, Cristian, Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral (Sant Joan Despí, Barcelona, Spain). Silvia Cañizares. Hospital Clinic de Barcelona (Barcelona, Spain). Jose Antonio Lopez Muñoz. Occupational Health Care Service, Hospital Clínic (Barcelona, Spain). Jesús Caballero, Hospital Universitari Arnau de Vilanova (Lleida, Spain). Anna Carnes-Vendrell, Hospital Universitari de Santa Maria (Lleida, Spain). Gerard Piñol-Ripoll, Hospital Universitari de Santa Maria (Lleida, Spain). Ester Gonzalez-Aguado, Consorci Sanitari Alt Penedès-Garraf (Vilafranca de Penedés, Barcelona, Spain). Mar Riera-Pagespetit, Consorci Sanitari Alt Penedès-Garraf (Vilafranca de Penedés, Barcelona, Spain). Eva Forcadell-Ferreres, Hospital Verge de la Cinta, (Tortosa, Tarragona, Spain). Silvia Reverte-Vilarroya, Hospital Verge de la Cinta, (Tortosa, Tarragona, Spain). Susanna Forné, Fundació Sant Hospital de la Seu d’Urgell (La Seu d’Urgell, Lleida, Spain). Jordina Muñoz-Padros, Consorci Hospitalari de Vic (Vic, Barcelona, Spain). Anna Bartes-Plan, Consorci Hospitalari de Vic (Vic, Barcelona, Spain). Jose A. Muñoz-Moreno, Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions—Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain). Anna Prats-Paris, Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions—Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain). Inmaculada Rico Pons, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain). Judit Martínez Molina, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain). Laura Casas-Henanz, Hospital Universitari Mútua Terrassa (Terrassa, Barcelona, Spain). Judith Castejon, Hospital Universitari Mútua Terrassa (Terrassa, Barcelona, Spain). Maria José Ciudad Mas, Badalona Serveis Assistencials (Badalona, Barcelona, Spain). Anna Ferré Jodrà, Badalona Serveis Assistencials (Badalona, Barcelona, Spain). Manuela Lozano, Institut d’Assistència Sanitària (Girona, Spain). Tamar Garzon, Institut d’Assistència Sanitària (Girona, Spain). Marta Cullell , Fundació Salut Empordà (Figueres, Girona, Spain). Sonia Vega, Fundació Salut Empordà (Figueres, Girona, Spain). Sílvia Alsina, Fundació Hospital de Puigcerdà (Puigcerdà, Girona, Spain). Maria J. Maldonado Belmonte, Hospital Universitario Central de la Cruz Roja San José y Santa Adela (Madrid, Spain). Susana Vazquez-Rivera, Hospital Universitario Central de la Cruz Roja San José y Santa Adela (Madrid, Spain). Eloy García-Cabello. Clínica Universitaria de Psicología. Facultad de Ciencias de la Salud. Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain). Yaiza Molina. Clínica Universitaria de Psicología. Facultad de Ciencias de la Salud. Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain). Sandra Navarro, Servei Andorrà d’Atenció Sanitària (SAAS) (Andorra). Eva Baillès, Servei Andorrà d’Atenció Sanitària (SAAS) (Andorra).Postprint (published version
Cognition and objective sleep quality in post-COVID-19 patients
No full textIn the current study, we aimed (i) to evaluate sleep quality via wrist actigraphy monitoring of nonhospitalized and hospitalized post-COVID-19 condition (PCC) participants; (ii) to correlate actigraphy measures with subjective measures of sleep quality, such as the Pittsburgh Sleep Quality Index (PSQI); and (iii) to investigate whether total sleep time or sleep efficiency could affect PCC cognitive performance. We included 49 individuals with PCC from the NAUTILUS Project (NCT05307549 and NCT05307575) who were monitored for 1 week via actigraphy and who were also assessed with a comprehensive neuropsychological battery and the PSQI. We found that there were significant differences between nonhospitalized PCCs and hospitalized PCCs in the number of awakenings. We also found a correlation between the total sleep time of both measures (actigraphy and PSQI), but we did not observe correlations between objective and subjective parameters of latency and sleep efficiency. Regarding cognition and actigraphy measures, there was a trend of statistical significance in the performance of immediate visual memory, attention span and social cognition according to sleep efficiency. In conclusion, results indicate that although the PSQI provides clinically relevant indicators of sleep, there are divergent results between self-reported and objective sleep measures (actigraphy). Furthermore, we found a tendency toward statistical significance in cognitive performance in PCC participants according to their sleep efficiency which could indicate that is more important for cognitive function of post-COVID-19 patients than total sleep time.This research was supported by the Agency for Management of University and Research Grants (AGAUR) from the Generalitat de Catalunya (Pandemies, 202PANDE00053) and the La Marató de TV3 Foundation (202111–30–31-32) to MG, the Instituto de Salud Carlos III de Madrid (PI22/01687, ISCIII) and the Agency for Management of University and Research Grants (2021SGR 00761) to GP-R.Peer ReviewedMembres del NAUTILUS Project Collaborative Group: Vanesa Arauzo and Jose A. Bernia, Consorci Sanitari de Terrassa (CST), Terrassa, Spain. Marta Balague-Marmaña and Berta Valles-Pauls, Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral. Jesús Caballero, Hospital Universitari Arnau de Vilanova, Lleida, Spain. Ester Gonzalez-Aguado and Carme Tayó-Juli, Consorci Sanitari Alt Penedès-Garraf, Vilafranca de Penedés, Barcelona, Spain. Eva Forcadell-Ferreres and Silvia Reverte-Vilarroya, Hospital Verge de la Cinta, Tortosa, Tarragona, Spain. Susanna Forné, Fundació Sant Hospital de la Seu d’Urgell, La Seu d’Urgell, Lleida, Spain. Anna Bartes-Plans and Jordina MuñozPadros, Consorci Hospitalari de Vic, Vic, Barcelona, Spain. Jose A. Muñoz-Moreno and Anna Prats-Paris, Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions – Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain. Inmaculada Rico and Nuria Sabé, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain. Marta Almeria and Laura Casas, Hospital Universitari Mútua Terrassa, Terrassa, Barcelona, Spain. Maria José Ciudad and Anna Ferré, Badalona Serveis Assistens, Badalona, Barcelona, Spain. Tamar Garzon and Manuela Lozano, Institut d’Assistència Sanitària, Girona, Spain. Marta Cullell and Sonia Vega, Fundació Salut Empordà, Figueres, Girona, Spain. Sílvia Alsina, Fundació Hospital de Puigcerdà, Puigcerdà, Girona, Spain. Maria J. Maldonado-Belmonte and Susana Vazquez-Rivera, Hospital Universitario Central de la Cruz Roja San José y Santa Adela, Madrid, Spain. Eva Baillès and Sandra Navarro, Servei Andorrà d’Atenció Sanitària (SAAS), Andorra. Ayoze González Hernández, Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias. Yaiza Molina, Clínica Universitaria de Psicología, Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias. Victoria Olive, Occupational Health Care Service, Hospital Clínic Barcelona. Silvia Cañizares, Section of Clinical Psychology of Health, Clinical Institute of Neurosciences, Hospital Clinic of Barcelona. Department of Clinical Psychology and Psychobiology, Universitat de Barcelona.Postprint (published version
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Sleep quality in individuals with post-COVID-19 condition: relation with emotional, cognitive and functional variables
Full text linkAnxiety; COVID-19; Sleep qualityAnsietat; COVID 19; Qualitat del sonAnsiedad; COVID-19; Calidad de sueñoThe study aimed to assess sleep quality in PCC patients and its predictors by analysing its relationship with emotional, cognitive and functional variables, as well as possible differences based on COVID-19 severity. We included 368 individuals with PCC and 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575). We assessed sleep quality (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive Assessment, MoCA), everyday memory failures (Memory Failures of Everyday Questionnaire, MFE-30), fatigue (Chadler Fatigue Questionnaire, CFQ), quality of life (European Quality of Life-5 Dimensions, EQ-5D), and physical activity levels (International Physical Activity Questionnaire, IPAQ). 203 were nonhospitalized, 83 were hospitalized and 82 were admitted to the intensive care unit (ICU). We found statistically significant differences in the PSQI total score between the PCC and HC groups (p < 0.0001), but there were no differences among the PCC groups. In the multiple linear regressions, the PHQ-9 score was a predictor of poor sleep quality for mild PCC patients (p = 0.003); GAD-7 (p = 0.032) and EQ-5D (p = 0.011) scores were predictors of poor sleep quality in the hospitalized PCC group; and GAD-7 (p = 0.045) and IPAQ (p = 0.005) scores were predictors of poor sleep quality in the group of ICU-PCC. These results indicate that worse sleep quality is related to higher levels of depression and anxiety, worse quality of life and less physical activity. Therapeutic strategies should focus on these factors to have a positive impact on the quality of sleep.L'estudi pretenia avaluar la qualitat del son en pacients amb PCC i els seus predictors mitjançant l'anàlisi de la seva relació amb variables emocionals, cognitives i funcionals, així com les possibles diferències en funció de la gravetat de la COVID-19. Es van incloure 368 individus amb PCC i 123 controls saludables (HC) del projecte NAUTILUS (NCT05307549 i NCT05307575). Es va avaluar la qualitat del son (índex de qualitat del son de Pittsburgh, PSQI), l'ansietat (trastorn d'ansietat generalitzada, GAD-7), la depressió (Patient Health Questionnaire, PHQ-9), la cognició global (Montreal Cognitive Assessment, MoCA), errors de memòria diària (memòria). Falles del Qüestionari diari, MFE-30), fatiga (Qüestionari de Fatiga de Chadler, CFQ), qualitat de vida (Qualitat de Vida Europea-5 Dimensions, EQ-5D) i nivells d'activitat física (Questionari Internacional d'Activitat Física, IPAQ). 203 estaven no hospitalitzats, 83 estaven hospitalitzats i 82 estaven ingressats a la unitat de cures intensives (UCI). Hem trobat diferències estadísticament significatives en la puntuació total de PSQI entre els grups PCC i HC (p <0, 0001), però no hi va haver diferències entre els grups PCC. En les regressions lineals múltiples, la puntuació PHQ-9 va ser un predictor de la mala qualitat del son per als pacients amb PCC lleus (p = 0,003); Les puntuacions GAD-7 (p = 0,032) i EQ-5D (p = 0,011) van ser predictors de mala qualitat del son en el grup de PCC hospitalitzat; i les puntuacions de GAD-7 (p = 0,045) i IPAQ (p = 0,005) van ser predictors de mala qualitat del son en el grup d'UCI-PCC. Aquests resultats indiquen que una pitjor qualitat del son està relacionada amb nivells més alts de depressió i ansietat, pitjor qualitat de vida i menys activitat física. Les estratègies terapèutiques haurien de centrar-se en aquests factors per tenir un impacte positiu en la qualitat del son.This research was supported by: Grants from the Agency for Management of University and Research Grants (AGAUR) from the Generalitat de Catalunya (Pandemies, 202PANDE00053) and La Marató de TV3 Foundation (202111-30-31-32) to MG.- Grants from the Instituto de Salud Carlos III de Madrid (PI22/01687, ISCIII) and Agency for Management of University and Research Grants (2021SGR 00761) to GPR
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Retinal microvasculature changes linked to executive function impairment after COVID-19
Full text linkBackground/Objectives: Studies using optical coherence tomography angiography (OCTA) have revealed that individuals recovering from COVID-19 have a reduced retinal vascular density (VD) and larger foveal avascular zones (FAZs) than healthy individuals, with more severe cases showing greater reductions. We aimed to examine aspects of the retinal microvascularization in patients with post-COVID-19 condition (PCC) classified by COVID-19 severity and how these aspects relate to cognitive performance. Methods: This observational cross-sectional study included 104 PCC participants from the NAUTILUS Project, divided into severe (n = 59) and mild (n = 45) COVID-19 groups. Participants underwent cognitive assessments and OCTA to measure VD and perfusion density (PD) in the superficial capillary plexus (SVP) and FAZ. Analysis of covariance and partial Pearson and Spearman correlations were used to study intergroup differences and the relationships between cognitive and OCTA variables. Results: Severe PCC participants had significantly lower central (p = 0.03) and total (p = 0.03) VD, lower central (p = 0.02) PD measurements, and larger FAZ areas (p = 0.02) and perimeters (p = 0.02) than mild cases. Severe cases showed more cognitive impairment, particularly in speed processing (p = 0.003) and executive functions (p = 0.03). Lower central VD, lower central PD, and larger FAZ areas and perimeters were associated with worse executive function performance in the entire PCC sample and in the mild COVID-19 group. Conclusions: Retinal microvascular alterations, characterized by reduced VD and PD in the SVP and larger FAZ areas, were associated with cognitive impairments in PCC individuals. These findings suggest that severe COVID-19 leads to long-lasting microvascular damage, impacting retinal and cognitive health.This research was funded by La Marató de TV3 Foundation (202111-30-31-32) and Ministerio de Ciencia e Innovación, Fondos Next Generation (TED2021-130409B-C51).Peer ReviewedMembres del NAUTILUS-Project Collaborative Group: Jose A. Bernia, Servei d’Anestesia Reanimació i Clinica del Dolor, Consorci Sanitari de Terrassa (CST) (Terrassa, Barcelona, Spain). Laura Sanchez, Servei de Medicina Intensiva. Consorci Sanitari de Terrassa (CST) (Terrassa, Barcelona, Spain). Marta Balague-Marmaña, Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral (Sant Joan Despí, Spain). Pérez-Pellejero, Cristian, Hospital Sant Joan Despí Moisès Broggi, Consorci Sanitari Integral (Sant Joan Despí, Barcelona, Spain). Silvia Cañizares. Section of Clinical Psychology of Health, Clinical Institute of Neurosciences, Hospital Clinic of Barcelona. Department of Clinical Psychology and Psychobiology, Universitat de Barcelona (Barcelona, Spain). Jose Antonio Lopez Muñoz. Occupational Health Care Service, Hospital Clínic (Barcelona, Spain). Jesús Caballero, Hospital Universitari Arnau de Vilanova (Lleida, Spain). Anna Carnes-Vendrell, Hospital Universitari de Santa Maria (Lleida, Spain). Gerard Piñol-Ripoll, Hospital Universitari de Santa Maria (Lleida, Spain). Ester Gonzalez-Aguado, Consorci Sanitari Alt Penedès-Garraf (Vilafranca de Penedés, Barcelona, Spain). Carme Tayó-Juli, Consorci Sanitari Alt Penedès-Garraf (Vilafranca de Penedés, Barcelona, Spain). Eva Forcadell-Ferreres, Hospital Verge de la Cinta, (Tortosa, Tarragona, Spain). Silvia Reverte-Vilarroya, Hospital Verge de la Cinta, (Tortosa, Tarragona, Spain). Susanna Forné, Fundació Sant Hospital de la Seu d’Urgell (La Seu d’Urgell, Lleida, Spain). Jordina Muñoz-Padros, Consorci Hospitalari de Vic (Vic, Barcelona, Spain). Anna Bartes-Plan, Consorci Hospitalari de Vic (Vic, Barcelona, Spain). Jose A. Muñoz-Moreno, Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions—Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain). Anna Prats-Paris, Servei de Malalties Infeccioses, Fundació Lluita contra les Infeccions - Hospital Universitari Germans Trias i Pujol (Badalona, Barcelona, Spain). Inmaculada Rico Pons, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain). Judit Martínez Molina, Hospital Universitari de Bellvitge (L’Hospitalet de Llobregat, Barcelona, Spain). Laura Casas, Hospital Universitari Mútua Terrassa (Terrassa, Barcelona, Spain). Judith Castejon, Hospital Universitari Mútua Terrassa (Terrassa, Barcelona, Spain). Maria José Ciudad, Badalona Serveis Assistencials (Badalona, Barcelona, Spain). Anna Ferré, Badalona Serveis Assistencials (Badalona, Barcelona, Spain).Manuela Lozano, Institut d’Assistència Sanitària (Girona, Spain). Tamar Garzon, Institut d’Assistència Sanitària (Girona, Spain). Marta Cullell, Fundació Salut Empordà (Figueres, Girona, Spain). Sonia Vega, Fundació Salut Empordà (Figueres, Girona, Spain). Sílvia Alsina, Fundació Hospital de Puigcerdà (Puigcerdà, Girona, Spain). Maria J. Maldonado-Belmonte, Hospital Universitario Central de la Cruz Roja San José y Santa Adela (Madrid, Spain). Susana Vazquez-Rivera, Hospital Universitario Central de la Cruz Roja San José y Santa Adela (Madrid, Spain). Eloy García-Cabello. Clínica Universitaria de Psicología. Facultad de Ciencias de la Salud. Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain). Yaiza Molina. Clínica Universitaria de Psicología. Facultad de Ciencias de la Salud. Universidad Fernando Pessoa (La Palmas de Gran Canaria, Islas Canarias, Spain). Sandra Navarro, Servei Andorrà d’Atenció Sanitària (SAAS) (Andorra). Eva Baillès, Servei Andorrà d’Atenció Sanitària (SAAS) (Andorra).Postprint (published version
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