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Reliability and Use of Copenhagen Burnout Inventory in Italian Sample of University Professors

机译:意大利大学教授样本中哥本哈根倦怠量表的可靠性和使用

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摘要

Academics often have to face with burnout syndrome at work. This cross-sectional study evaluates the reliability of the Italian version of the Copenhagen Burnout Inventory (CBI) in a sample of Academics of Sapienza University of Faculty of Medicine and Pharmacy, through an online questionnaire composed of the CBI, SF12 Health Survey, and Positivity Scale. Univariate, bivariate, multivariate analyses, and Cronbach α coefficients of CBI were performed. Ninety-five participants completed the questionnaire (response rate 85%). Cronbach’s α of the three domains were high (0.892, 0.868, and 0.836). Women, younger and part time professors reported higher score in personal (p = 0.025; 0.060) and work burnout. In multivariate analysis decreasing age (β = −0.263; p = 0.001); being a professor in environmental technicians (β = −0.120; p = 0.098); and low mental (β = −0.263; p = 0.020), physical (β = −0.319; p ≤ 0.001) and positivity scores (β = −0.237; p = 0.031) predict significantly higher personal burnout. Low physical (β = −0.346; p < 0.001) and mental (β = − 0.249; p = 0.013) positivity (β = −0.345; p = 0.001) scores; fewer years of work (β = −0.269; p ≤ 0.001); and being a medical or nursing professor (β = 0.169; p = 0.016) predicts high work burnout. Low MCS predicts a high level of student burnout. Results suggest that the Italian version of the CBI is a reliable instrument. Further research should focus on the prevalence of burnout in academics.
机译:学术界经常在工作中面临倦怠综合症。这项横断面研究通过由CBI,SF12健康调查和积极性组成的在线调查问卷,评估了萨皮恩扎大学医学院的学术样本中意大利语版本的哥本哈根倦怠量表(CBI)的可靠性。规模。进行了CBI的单变量,双变量,多元分析和Cronbachα系数。九十五名参与者填写了调查表(答复率为85%)。这三个域的Cronbachα值很高(0.892、0.868和0.836)。女教授,年轻教授和兼职教授在个人和工作倦怠方面的得分更高(p = 0.025; 0.060)。在多变量分析中,降低年龄(β= -0.263; p = 0.001);作为环境技术员的教授(β= −0.120; p = 0.098);低精神(β= -0.263; p = 0.020),身体(β= -0.319; p≤0.001)和积极性分数(β= -0.237; p = 0.031)预测个人的倦怠显着更高。低体力(β= -0.346; p <0.001)和精神(β=-0.249; p = 0.013)阳性(β= -0.345; p = 0.001);更少的工作年限(β= -0.269; p≤0.001);担任医学或护理学教授(β= 0.169; p = 0.016)可以预测较高的工作倦怠。 MCS偏低预示着学生的职业倦怠程度很高。结果表明,意大利语版本的CBI是可靠的工具。进一步的研究应关注学者的倦怠发生率。

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