18 resultados para Emotional exhaustion

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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En l’actualitat el burnout o síndrome de cremar-se per la feina és considerat un risc emergent als països occidentals essent el col·lectiu docent un dels més afectats. L’espai europeu d’educació superior proposa un nou rol pel professor que haurà de ser compaginat amb la gestió, la recerca i la transferència de coneixement. En la present recerca s’analitza el nivell de burnout en una mostra formada per 42 docents (mitjana d’edat: 37,21 anys; D.T.: 8,98; 70,8% dones) del departament de Psicologia de la Universitat de Girona. El burnout s’ha avaluat amb el Maslach Burnout Inventory (MBI) així com amb un qüestionari d’elaboració pròpia que recull variables sociodemogràfiques, característiques del tipus de treball i de l’ús del temps lliure, el locus de control i el burnout percebut. Els resultats obtinguts indiquen valors mitjans en les puntuacions de les dimensions Cansament Emocional i Despersonalització, i valors elevats en Realització Personal. El 20,5% dels docents es percep cremat per la feina

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El siguiente trabajo es un proyecto de un estudio cuantitativo observacional transversal sobreel personal enfermero del Hospital del Mar de Barcelona, con el objetivo de determinar de quéforman afectan la crisis económica y los recortes sanitarios en la aparición del síndrome delburnout y calidad de vida en los enfermeros/as. Este estudio puede servir de ayuda en unfuturo al diseño de una propuesta de intervención preventiva contextualizada a la situaciónlaboral que están viviendo los profesionales sanitarios de dicho hospital.Hipótesis: La crisis económica y los posteriores recortes sanitarios que han afectado a recursosmateriales, de personal y salariales, aumentan el síndrome de burnout en los profesionalesenfermeros.Metodología: Se utilizará un cuestionario como forma de recogida de datos, que constará dedos partes, la primera el MBI – HSS (Maslach Burnout Inventory)2, para poder identificar lossujetos con burnout, analizando tres dimensiones principales (cansancio emocional,despersonalización y realización personal). La segunda parte, es un cuestionario deelaboración propia, e incluirá variables de tipo sociodemográfico, además se realizaranpreguntas relacionadas con la crisis económica y los recortes sanitarios con tal decontextualizarlo al momento actual. Como medidas descriptivas se utilizarán la media, lamoda, desviación estándar y porcentaje de acuerdo al tipo de variable, estableciéndose laasociación entre variables mediante Spearman y Pearson. Para el análisis estadístico seutilizará el paquete estadístico SPSS versión 19 y triangulación con un grupo de profesionalesimplicados en el análisis de los resultados con tal de evaluar los riesgos psicosociales.

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Objectives: Identify the frequency and intensity of the perception of adverse professional consequences and their association with burnout syndrome and occupational variables. Methods: Cross-sectional sample of 11,530 healthcare professionals resident in Spain and Latin America. The association of negative work-related consequences on burnout, as measured by the MBI and work-related variables was analysed by multiple logistic regression. Results: The emotional exhaustion was the first variable associated with absenteeism, with intention of giving up profession, personal deterioration, and family deterioration. Depersonalization was most associated with the perception of having made mistakes. Conclusions: The findings indicate a considerable prevalence of adverse work-related consequences

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The operational aspects of psychological assessment are well documented (e.g. Murphy and Davidshofer, 1994). Essentially, the process involves the administration of one or more valid psychological tests in order to assess a person’s suitability to a task or situation. The resulting data and report are then used by police psychologists to assist in determining the suitability of the applicant for police duties. In Catalunya, this task is carried out during basic training for police career agent in the evaluation of psychological conditions for the use of the weapon. Police work can be one of the most stressful jobs, and it frequently leads to the development of burnout syndrome. In their day-to-day tasks, police officers are constantly subjected to various stressors (de la Fuente, Aguayo, Vargas and Cañadas, 2013). The most widely accepted definition of the burnout syndrome is one that describes it as a response to chronic work stress made up of three components: emotional exhaustion, depersonalisation and low personal accomplishment (Maslach & Jackson, 1981). Some studies showed that personality characteristics, and positive and negative affectivity explained significant variance in each of the burnout dimensions (Alarcon, Eschleman and Bowling, 2009).

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This study sought to assess the impact of health care professional (HCP) communication on breast cancer patients across the acute care process as perceived by patients. Methodological approach was based on eight focus groups conducted with a sample of patients (n ¼ 37) drawn from 15 Spanish Regions; thematic analysis was undertaken using the National Cancer Institute (NCI) framework of HCP communication as the theoretical basis. Relevant results of this study were the identification of four main communication components: (1) reassurance in coping with uncertainty after symptom detection and prompt access until confirmed diagnosis; (2) fostering involvement before delivering treatments, by anticipating information on practical and emotional illness-related issues; (3) guidance on the different therapeutic options, through use of clinical scenarios; and, (4) eliciting the feeling of emotional exhaustion after ending treatments and addressing the management of potential treatment-related effects. These communication-related components highlighted the need for a comprehensive approach in this area of cancer care

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Depending on the various models explaining the burnout syndrome, different questionnaires have been developed to asses this topic, the most widely-used is the Maslach Burnout Inventory (MBI). Moreover, in trying to asses this syndrome in a faster and more practical way, several authors have developed other instruments with fewer items. The present investigation aims: 1. Study the prevalence of burnout syndrome perceived using a simple measure of self-reported burnout, and to analyse its association with the scales of MBI. 2. Study demographic and work conditions associated with the perceived burnout. 3. Relate the burnout to personal and work evaluations. The sample consist of 6150 health professionals in Latin America (mainly from Argentina but with representation from Mexico, Ecuador, Peru, Colombia, Uruguay, Guatemala and Spain, among others. The mean age of the sample was 42.4 years, 52.7% were males. They were supplied with an online questionnaire through the health web page ”Intramed” in order to measure characteristics, perceptions and professional opinions. The MBI and a simple question to assess perceptions of burnout (Do you feel burnt out ?) was also included. The results indicated that 36.3% of the sample has the perception of “burnt out” or burnout . The perceived burnout is closely related to emotional exhaustion and is independent of depersonalisation. The burnout is associated with the perceived sense of personal and family deterioration due to working conditions, and the idea of abandoning the profession

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Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart prediction assistant (SPA) platform in an intelligent learning guide with more than three million users. While most approaches to recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems

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Report for the scientific sojourn carried out at the University Medical Center, Swiss, from 2010 to 2012. Abundant evidence suggests that negative emotional stimuli are prioritized in the perceptual systems, eliciting enhanced neural responses in early sensory regions as compared with neutral information. This facilitated detection is generally paralleled by larger neural responses in early sensory areas, relative to the processing of neutral information. In this sense, the amygdala and other limbic regions, such as the orbitofrontal cortex, may play a critical role by sending modulatory projections onto the sensory cortices via direct or indirect feedback.The present project aimed at investigating two important issues regarding these mechanisms of emotional attention, by means of functional magnetic resonance imaging. In Study I, we examined the modulatory effects of visual emotion signals on the processing of task-irrelevant visual, auditory, and somatosensory input, that is, the intramodal and crossmodal effects of emotional attention. We observed that brain responses to auditory and tactile stimulation were enhanced during the processing of visual emotional stimuli, as compared to neutral, in bilateral primary auditory and somatosensory cortices, respectively. However, brain responses to visual task-irrelevant stimulation were diminished in left primary and secondary visual cortices in the same conditions. The results also suggested the existence of a multimodal network associated with emotional attention, presumably involving mediofrontal, temporal and orbitofrontal regions Finally, Study II examined the different brain responses along the low-level visual pathways and limbic regions, as a function of the number of retinal spikes during visual emotional processing. The experiment used stimuli resulting from an algorithm that simulates how the visual system perceives a visual input after a given number of retinal spikes. The results validated the visual model in human subjects and suggested differential emotional responses in the amygdala and visual regions as a function of spike-levels. A list of publications resulting from work in the host laboratory is included in the report.

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Report for the scientific sojourn carried out at the University Medical Center, Swiss, from 2010 to 2012. Abundant evidence suggests that negative emotional stimuli are prioritized in the perceptual systems, eliciting enhanced neural responses in early sensory regions as compared with neutral information. This facilitated detection is generally paralleled by larger neural responses in early sensory areas, relative to the processing of neutral information. In this sense, the amygdala and other limbic regions, such as the orbitofrontal cortex, may play a critical role by sending modulatory projections onto the sensory cortices via direct or indirect feedback.The present project aimed at investigating two important issues regarding these mechanisms of emotional attention, by means of functional magnetic resonance imaging. In Study I, we examined the modulatory effects of visual emotion signals on the processing of task-irrelevant visual, auditory, and somatosensory input, that is, the intramodal and crossmodal effects of emotional attention. We observed that brain responses to auditory and tactile stimulation were enhanced during the processing of visual emotional stimuli, as compared to neutral, in bilateral primary auditory and somatosensory cortices, respectively. However, brain responses to visual task-irrelevant stimulation were diminished in left primary and secondary visual cortices in the same conditions. The results also suggested the existence of a multimodal network associated with emotional attention, presumably involving mediofrontal, temporal and orbitofrontal regions Finally, Study II examined the different brain responses along the low-level visual pathways and limbic regions, as a function of the number of retinal spikes during visual emotional processing. The experiment used stimuli resulting from an algorithm that simulates how the visual system perceives a visual input after a given number of retinal spikes. The results validated the visual model in human subjects and suggested differential emotional responses in the amygdala and visual regions as a function of spike-levels. A list of publications resulting from work in the host laboratory is included in the report.

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The aim of this study was to assess the usefulness of virtual environments representing situations that are emotionally significant to subjects with eating disorders (ED). These environments may be applied with both evaluative and therapeutic aims and in simulation procedures to carry out a range of experimental studies. This paper is part of a wider research project analyzing the influence of the situation to which subjects are exposed on their performance on body image estimation tasks. Thirty female patients with eating disorders were exposed to six virtual environments: a living-room (neutral situation), a kitchen with highcalorie food, a kitchen with low-calorie food, a restaurant with high-calorie food, a restaurant with low-calorie food, and a swimming-pool. After exposure to each environment the STAI-S (a measurement of state anxiety) and the CDB (a measurement of depression) were administered to all subjects. The results show that virtual reality instruments are particularly useful for simulating everyday situations that may provoke emotional reactions such as anxiety and depression, in patients with ED. Virtual environments in which subjects are obliged to ingest high-calorie food provoke the highest levels of state anxiety and depression.

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Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.

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Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, or a non-congruent way.. As many evidences show the major role of alpha in emotional processing, the alpha band was subjected to be analyzed. Analysis was performed by computing the synchronization of the EEGs and the conditions congruent vs. non-congruent were compared using statistical tools. The obtained results demonstrate that scalp EEG ccould be used as a tool to investigate the neural dynamics of emotional valence and discriminate various emotions (angry, happy and neutral stimuli).

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In the last 15 years, a new psychological construct has emerged in the field of psychology: Emotional Intelligence. Some models of Emotional Intelligence bear ressemblence with aspects of one of the core constructs of Adlerian Psychology: Social Interest. The authors investigated, if both constructs are also empirically related and which is their capacity to predict psychiatric symptoms and antisocial behavior. Results indicate that Social Interest and Emotional Intelligence are empirically different constructs; Social Interest was negatively correlated to aspects of antisocial attitudes (but not to antisocial behavior). Social Interest also failed to predict symptoms of psychological distress. Emotional Intelligence, in change, was a better predictor for mental problems than Social Interest. The results are discussed in view of the validity of Social Interest measurement.

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The purpose of our project is to contribute to earlier diagnosis of AD and better estimates of its severity by using automatic analysis performed through new biomarkers extracted from non-invasive intelligent methods. The methods selected in this case are speech biomarkers oriented to Sponta-neous Speech and Emotional Response Analysis. Thus the main goal of the present work is feature search in Spontaneous Speech oriented to pre-clinical evaluation for the definition of test for AD diagnosis by One-class classifier. One-class classifi-cation problem differs from multi-class classifier in one essen-tial aspect. In one-class classification it is assumed that only information of one of the classes, the target class, is available. In this work we explore the problem of imbalanced datasets that is particularly crucial in applications where the goal is to maximize recognition of the minority class as in medical diag-nosis. The use of information about outlier and Fractal Dimen-sion features improves the system performance.

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Alzheimer׳s disease (AD) is the most common type of dementia among the elderly. This work is part of a larger study that aims to identify novel technologies and biomarkers or features for the early detection of AD and its degree of severity. The diagnosis is made by analyzing several biomarkers and conducting a variety of tests (although only a post-mortem examination of the patients’ brain tissue is considered to provide definitive confirmation). Non-invasive intelligent diagnosis techniques would be a very valuable diagnostic aid. This paper concerns the Automatic Analysis of Emotional Response (AAER) in spontaneous speech based on classical and new emotional speech features: Emotional Temperature (ET) and fractal dimension (FD). This is a pre-clinical study aiming to validate tests and biomarkers for future diagnostic use. The method has the great advantage of being non-invasive, low cost, and without any side effects. The AAER shows very promising results for the definition of features useful in the early diagnosis of AD.