286 research outputs found

    International Guillain-Barré Syndrome Outcome Study (IGOS): protocol of a prospective observational cohort study on clinical and biological predictors of disease course and outcome in Guillain-Barré syndrome

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    Guillain-Barré syndrome (GBS) is an acute polyradiculoneuropathy with a highly variable clinical presentation, course, and outcome. The factors that determine the clinical variation of GBS are poorly understood which complicates the care and treatment of individual patients. The protocol of the ongoing International GBS Outcome Study (IGOS), a prospective, observational, multi-centre cohort study that aims to identify the clinical and biological determinants and predictors of disease onset, subtype, course and outcome of GBS is presented here. Patients fulfilling the diagnostic criteria for GBS, regardless of age, disease severity, variant forms, or treatment, can participate if included within two weeks after onset of weakness. Information about demography, preceding infections, clinical features, diagnostic findings, treatment, course and outcome is collected. In addition, cerebrospinal fluid and serial blood samples for serum and DNA is collected at standard time points. The original aim was to include at least 1000 patients with a follow-up of 1-3 years. Data are collected via a web-based data entry system and stored anonymously. IGOS started in May 2012 and by January 2017 included more than 1400 participants from 143 active centres in 19 countries across 5 continents. The IGOS data/biobank is available for research projects conducted by expertise groups focusing on specific topics including epidemiology, diagnostic criteria, clinimetrics, electrophysiology, antecedent events, antibodies, genetics, prognostic modelling, treatment effects and long-term outcome of GBS. The IGOS will help to standardize the international collection of data and biosamples for future research of GBS. ClinicalTrials.gov Identifier: NCT01582763

    The development and validation of a scale measuring teacher autonomous behaviour

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    In the current study a multi-dimensional scale that measures teacher autonomous behaviour is presented. The scale is applicable across the following educational sectors: primary education, secondary education and vocational education. Based on an elaborate literature study, four theoretically relevant dimensions of teacher autonomous behaviour were derived. Psychometric characteristics of the instrument (note that the terms ‘scale’ and ‘instrument’ are used interchangeably in this article) were tested among a sample of Dutch teachers working in primary, secondary and vocational education (N = 1111). The validity of our instrument was tested in several ways. First, by performing confirmatory factor analysis, we tested the factorial structure, which confirmed the hypothesised four dimensions: (1) primary work processes in the class; (2) curriculum implementation; (3) participation in decision making at school; (4) professional development. Thereafter, we calculated the scale’s reliability, which appeared to be excellent. In addition, we tested for measurement invariance by cross-validating the study in the educational sectors mentioned above. Also, the convergent, divergent and predictive validity was investigated. Teacher autonomy appeared to predict workplace learning, more specifically experimenting, reflecting and school development. Finally, we investigated whether transformational leadership can facilitate teacher autonomy, which appeared to be the case. The results empirically confirm the four dimensions of teacher autonomous behaviour, which we derived from theory, and offer solid proof of the psychometric properties of our instrument. The instrument can be used by school leaders and policy makers to monitor autonomous behaviour. More generally, the development and use of this instrument helps us understand teacher autonomous behaviour and teacher professionalism

    The Role of Work-home Interference and Workplace Learning in the Energy-depletion Process

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    In this study, we tested a work stress model which incorporates both an energydepletion and a workplace learning process. In the energy-depletion process, workhome interference was assumed to mediate the relationship between job demands (workload, emotional demands) and psychological fatigue. In the workplace learning process it was hypothesized that workplace learning mediated the relationship between job resources (autonomy, task variety) and psychological fatigue. Results of a multi-group structural equation modelling (N = 9738) confirmed our hypotheses and as such contribute to a better understanding of the interplay between job characteristics and stress-related outcomes

    Classification of pediatric acute myeloid leukemia based on miRNA expression profiles

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    Pediatric acute myeloid leukemia (AML) is a heterogeneous disease with respect to biology as well as outcome. In this study, we investigated whether known biological subgroups of pediatric AML are reflected by a common microRNA (miRNA) expression pattern. We assayed 665 miRNAs on 165 pediatric AML samples. First, unsupervised clustering was performed to identify patient clusters with common miRNA expression profiles. Our analysis unraveled 14 clusters, seven of which had a known (cyto-)genetic denominator. Finally, a robust classifier was constructed to discriminate six molecular aberration groups: 11q23-rearrangements, t(8;21)(q22;q22), inv(16)(p13q22), t(15;17) (q21;q22), NPM1 and CEBPA mutations. The classifier achieved accuracies of 89%, 95%, 95%, 98%, 91% and 96%, respectively. Although lower sensitivities were obtained for the NPM1 and CEBPA (32% and 66%), relatively high sensitivities (84%-94%) were attained for the rest. Specificity was high in all groups (87%-100%). Due to a robust double-loop cross validation procedure employed, the classifier only employed 47 miRNAs to achieve the aforementioned accuracies. To validate the 47 miRNA signatures, we applied them to a publicly available adult AML dataset. Albeit partial overlap of the array platforms and molecular differences between pediatric and adult AML, the signatures performed reasonably well. This corroborates our claim that the identified miRNA signatures are not dominated by sample size bias in the pediatric AML dataset. In conclusion, cytogenetic subtypes of pediatric AML have distinct miRNA expression patterns. Reproducibility of the miRNA signatures in adult dataset suggests that the respective aberrations have a similar biology both in pediatric and adult AML

    MicroRNA-106b~25 cluster is upregulated in relapsed MLL-rearranged pediatric acute myeloid leukemia

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    The most important reason for therapy failure in pediatric acute myeloid leukemia (AML) is relapse. In order to identify miRNAs that contribute to the clonal evolution towards relapse in pediatric AML, miRNA expression profiling of 127 de novo pediatric AML cases were used. In the diagnostic phase, no miRNA signatures could be identified that were predictive for relapse occurrence, in a large pediatric cohort, nor in a nested mixed lineage leukemia (MLL)-rearranged pediatric cohort. AML with MLL- rearrangements are found in 15-20% of all pediatric AML samples, and reveal a relapse rate up to 50% for certain translocation partner subgroups. Therefore, microRNA expression profiling of six paired initial diagnosis-relapse MLL-rearranged pediatric AML samples (test cohort) and additional eight paired initial diagnosisrelapse samples with MLL-rearrangements (validation cohort) was performed. A list of 53 differentially expressed miRNAs was identified of which the miR-106b~25 cluster, located in intron 13 of MCM7, was the most prominent. These differentially expressed miRNAs however could not predict a relapse in de novo AML samples with MLLrearrangements at diagnosis. Furthermore, higher mRNA expression of both MCM7 and its upstream regulator E2F1 was found in relapse samples with MLL-rearrangements. In conclusion, we identified the miR-106b~25 cluster to be upregulated in relapse pediatric AML with MLL-rearrangements

    Efficacy of emotion-regulating improvisational music therapy to reduce depressive symptoms in young adult students:A multiple-case study design

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    Depression is a serious mental health problem. Therefore, Emotion-regulating Improvisational Music Therapy (EIMT) to prevent depression was developed. The main purpose of this study was to assess effects of EIMT on reducing depressive symptoms in young adult students. A multiple-case study design was used with multiple methods. Eleven cases (female students) were completed and analysed. Nine out of 11 students reported reliable reductions in depressive symptoms at post-test and four-week follow-up. All students reported significant improvement in emotion regulation at post-test and nine out of 11 at four-week follow-up. The group showed significant reduction of depressive symptoms and significant improvement in emotion regulation at post-test. Results remained after four-week follow-up for both outcomes. Qualitative analysis supported these results. Using piecewise multilevel regression analyses, a small significant effect was found for negative, but not for positive affect. Main limitations are a one-site study, with female students and researcher in dual-role. Further research is needed to provide support for generality. Findings demonstrate that EIMT as a preventive intervention can be beneficial for young adult students within a university context to decrease depressive symptoms and negative affect and improve emotion regulation. Multisite studies are indicated to study effects and mechanisms of EIMT

    Make me want to pay! A three-way interaction between procedural justice, distributive justice, and power on voluntary tax compliance

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    Tax compliance involves a decision where personal benefits come at the expense of society and its members. We explored the roles of procedural and distributive justice and citizens’ perceptions of the tax authority’s power in stimulating voluntary tax compliance. Distributive and procedural justice have often (but not always) been shown to interact in such a way that high distributive justice or high procedural justice is sufficient to predict positive responses to authorities and the social collective they represent. We examined whether this interaction predicts voluntary (but not enforced) tax compliance, in particular among citizens who perceive the tax authority’s power as high (vs. low). The results of two field studies among Ethiopian (Study 1) and United States (Study 2) taxpayers supported our pre

    Understanding health behaviours in context : A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours

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    Acknowledgments The review team would like to thank Dr. David Simons for his help with the R code, as well as Dr. Pierre Gerain, Sally Di Maio, Rike Panse, Noemi Lorbeer, Malte Stollwerck, Dr. Paul Gellert, and Dr. Ann DeSmet for their contributions to the data extraction. Funding Olga Perski and Dimitra Kale receive salary support from Cancer Research UK (C1417/A22962). Daniel Powell is funded by the Scottish Government’s Rural and Environment Science and Analytical Services (RESAS) and by the School of Medicine, Medical Sciences, and Nutrition (SMMSN) at the University of Aberdeen. Felix Naughton’s salary is covered by the Faculty of Medicine and Health Sciences at the University of East Anglia. Dominika Kwasnicka’s work is carried out within the HOMING program of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund (grant number POIR.04.04.00-00-5CF3/18-00; HOMING 5/2018) and she is also funded by the NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Australia.Peer reviewedPublisher PD

    Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours

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    Ecological Momentary Assessment (EMA) involves repeated, real-time sampling of health behaviours in context. We present the state-of-knowledge in EMA research focused on five key health behaviours (physical activity and sedentary behaviour, dietary behaviour, alcohol consumption, tobacco smoking, sexual health), summarising theoretical (e.g., psychological and contextual predictors) and methodological aspects (e.g., study characteristics, EMA adherence). We searched Ovid MEDLINE, Embase, PsycINFO and Web of Science until February 2021. We included studies focused on any of the aforementioned health behaviours in adult, non-clinical populations that assessed ≥1 psychological/contextual predictor and reported a predictor-behaviour association. A narrative synthesis and random-effects meta-analyses of EMA adherence were conducted. We included 633 studies. The median study duration was 14 days. The most frequently assessed predictors were ‘negative feeling states’ (21%) and ‘motivation and goals’ (16.5%). The pooled percentage of EMA adherence was high at 81.4% (95% CI = 80.0%, 82.8%, k = 348) and did not differ by target behaviour but was somewhat higher in student (vs. general population) samples, when EMAs were delivered via mobile phones/smartphones (vs. handheld devices), and when event contingent (vs. fixed) sampling was used. This review showcases how the EMA method has been applied to improve understanding and prediction of health behaviours in context
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