Aim To analyse the effect of mindfulness training on levels of burnout among nurses. Background Burnout syndrome is a common occupational hazard for nursing staff. Mindfulness training has been proposed as a valid intervention for burnout. Design Systematic review and meta‐analysis. Data sources The CINAHL, LILACS, Medline, ProQuest, PsycINFO, Scielo and Scopus databases were consulted, using the search equation ‘Nurs * AND burnout AND mindfulness’. There was no restriction on the year of publication. Review methods Papers were selected for analysis in accordance with the PRISMA guidelines. The meta‐analysis was carried out using Review Manager 5.3 software. Results The sample was of 17 articles including 632 nurses. Mindfulness training reduces levels of burnout, producing lower scores for emotional exhaustion and depersonalization and higher for personal accomplishment. The differences in the means were 1.32 (95% CI: −9.41–6.78), 1.91 (95% CI: −4.50–0.68) and 2.12 (95% CI: −9.91–14.14), respectively, between the intervention and control groups. Conclusion Mindfulness training reduces the emotional burden and hence levels of burnout, among nurses. However, further randomized clinical trials are required.
High emotional exhaustion is the main affected dimension of burnout in Primary Care nursing. There is heterogeneity in depersonalisation and personal accomplishment. Burnout must be prevented in these professionals, by increasing protective factors and monitoring its appearance in those with risk factors.
The COVID pandemic has 0drastically changed the functioning of universities in Spain and may have altered individuals’ behaviours and emotions, the way they engage in the learning process and their psychological well-being. Burnout syndrome is a psychological problem that arises from persistent confrontation with emotional and interpersonal stressors. COVID-related burnout among Spanish students has received little research attention. For this study, a pre-post cohort study design was used. Data were collected using the Maslach Burnout Inventory—Student Survey, the Granada Burnout Questionnaire for university students, the Utrecht Work Engagement Scale and the Fear of CoronaVirus-19 scale. The population was composed of two samples of 190 and 226 students from Spanish universities. According to the results obtained, significant differences were observed between the pre- and post-test samples. Levels of burnout were higher after the COVID-19 pandemic and students’ levels of engagement have dropped significantly following their experiences of the COVID pandemic. This study shows the impact that the covid pandemic has had on Spanish university students, impacts which may have had important consequences for their mental and physical health. It is necessary to implement intervention programs to enable students to recover, at least, the levels of burnout and engagement prevailing before the outbreak of the pandemic.
Burnout in the primary care service takes place when there is a high level of interaction between nurses and patients. Explanatory models based on psychological and personality related variables provide an approximation to level changes in the three dimensions of the burnout syndrome. A categorical-response ordinal logistic regression model, based on a quantitative, crosscutting, multicentre, descriptive study with 242 primary care nurses in the Andalusian Health Service in Granada (Spain) is performed for each dimension. The three models included all the variables related to personality. The risk factor friendliness was significant at population level for the three dimensions, whilst openness was never significant. Neuroticism was significant in the models related to emotional exhaustion and depersonalization, whilst responsibility was significant for the models referred to depersonalization and personal accomplishment dimensions. Finally, extraversion was also significant in the emotional exhaustion and personal accomplishment dimensions. The analysis performed provides useful information, making more readily the diagnosis and evolution of the burnout syndrome in this collective.
This study aimed to estimate the prevalence of burnout syndrome in adolescents entering university studies, to detect differences in burnout levels, personality factors and fear of coronavirus in a pandemic context due to COVID-19. A cross-sectional predictive study was performed with a sample that comprised 134 individuals in their first year of a Psychology degree at Spanish universities. The Maslach Burnout Inventory Student Survey, the NEO Five-Factor Inventory and the Fear of COVID-19 Scale were applied. The prevalence of burnout is estimated according to three methods: Maslach and Jackson’s severity classification, Golembiewski’s phase model and Maslach et al.’s profile model. The estimates show significant differences. The results indicated that between 9 and 21% of students were at risk of developing burnout. On the other hand, students who reported having suffered psychological consequences of the pandemic showed greater emotional exhaustion, neuroticism and fear of COVID-19, and a lower level of personal accomplishment than those who did not suffer such consequences. Neuroticism was the only significant predictor for all burnout dimensions, and fear of COVID-19 did not contribute to any of them.
The Personality Assessment Inventory (PAI; Morey, 1991 , 2007 ) is among the most important personality and psychopathology assessment tools. However, its psychometric properties in the Spanish-speaking prison population have not yet been studied. We aimed to explore the factor structure of the Spanish adaptation of the PAI (Ortiz-Tallo et al., 2011 ) in an Ecuadorian sample of 811 convicted men using exploratory structural equation modeling, with the further objective of confirming its internal consistency. Hoelzle and Meyer ( 2009 ) identified three dimensions that are highly congruent across samples: general distress, elevated mood and dominance, and substance abuse and psychopathy. Taking these findings and the internalizing and externalizing dimensions (Ruiz & Edens, 2008 ) as a theoretical basis, three- and two-factor models were tested for the 22 scales and 11 clinical scales, respectively. We also tested four- and three-factor models that grouped the scales related to substance abuse as an independent factor, leaving intact the distribution presented by the remaining scales in the previous models. Although the original models showed a good fit, the 4- and 3-factor models obtained significantly better fit indexes. With respect to reliability, the Cronbach's alpha coefficients ranged from .49 to .89. This version shows acceptable psychometric properties in correctional settings.
Academic burnout is a psychological problem characterized by three dimensions: emotional exhaustion, depersonalization, and personal accomplishment. This paper studies the internal structure of the MBI-SS, the most widely used instrument to assess burnout in students. The bifactor model and the ESEM approach have been proposed as alternatives, capable of overcoming the classical techniques of CFA to address this issue. Our study considers the internal structure of the MBI-SS by testing the models most frequently referenced in the literature, along with the bifactor model and the ESEM. After determining which model best fits the data, we calculate the most appropriate reliability index. In addition, we examined the validity evidence using other variables, namely the concurrent relationships with depression, anxiety, neuroticism, and conscientiousness, and the discriminant relationships with the dimensions of engagement, extraversion, and agreeableness. The results obtained indicate that the internal structure of the MBI-SS is well reflected by the three-factor congeneric oblique model, reaching good values of reliability and convergent and discriminant validity. Therefore, when the scale is used in applied contexts, we recommend considering the total scores obtained for each of the dimensions. Finally, we recommend using the omega coefficient and not the alpha coefficient as an estimator of reliability.
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