Burnout has become a subject of interest in the field of healthcare, where nursing is one of the most vulnerable professions. The aim of this paper is to the relationship and involvement of sociodemographic and job variables, as well as the intervention of certain emotional intelligence, perceived social support, and general self-efficacy factors in the development of burnout among nursing professionals. The sample was made up of 1,307 participants with a mean age of 32.03 years (SD = 6.54). An ad hoc questionnaire, the Brief Burnout Questionnaire, the Brief Emotional Intelligence Inventory for Adults, the Brief Form of the Perceived Social Support Questionnaire, and the General Self-Efficacy Scale were used. Continuous work experience, attending to a larger number of patients, and male sex are the variables related to higher burnout scores. The logistic regression model provides data which back the involvement of certain sociodemographic (sex), work (employment situation and number of users attended to), perceived social support, and some elements of emotional intelligence (interpersonal, mood, and stress management) variables in burnout. The proposal of a model in which personal and employment variables are d is emphasized, which will have a repercussion on the improvement of a preventive intervention and, in turn, optimize the quality of healthcare services.

中文翻译：

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护理倦怠预测因素分析：风险和保护性心理因素

职业倦怠已成为医疗保健领域的关注主题，在医疗保健领域，护理是最脆弱的职业之一。本文旨在探讨社会人口统计学和工作变量之间的关系和参与，以及某些情绪智力，感知的社会支持和一般自我效能因素对护理专业人员倦怠发展的干预作用。该样本由1307名参与者组成，平均年龄为32.03岁（SD = 6.54）。使用了临时调查表，简短的倦怠问卷，成年人的情感智能清单，感知的社会支持问卷的简短表格以及一般自我效能感量表。持续的工作经验，更多的患者需要就诊以及男性是与更高的倦怠分数相关的变量。逻辑回归模型提供的数据可支持某些社会人口统计学（性），工作（就业状况和参加服务的用户数量），感知的社会支持以及情绪智力的某些要素（人际关系，情绪和压力管理）的参与情况。烧完。强调了一个模型，其中提出了个人和就业变量，这将对预防干预措施的改进产生反响，进而优化医疗服务的质量。