2019
DOI: 10.1101/517383
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Analysis of the risk and protective roles of work-related and individual variables in burnout syndrome in nurses

Abstract: Burnout syndrome is a phenomenon that is becoming ever more widespread, especially in workers who have heavy workloads and time pressures, such as nurses. Its progression has been shown to be related to both individual and work-related variables. The objective of this study was to examine the risk and protective roles played by work-related and personal variables, both sociodemographic and psychological, in the development of burnout in nurses. The sample was made up of 1236 nurses. Exploratory tests were perf… Show more

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Cited by 10 publications
(5 citation statements)
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“…Thus, the professionals least affected by the burnout syndrome showed higher levels in all the individual variables mentioned above. This coincides with the literature, which suggests that Job Crafting [37,43], proactive personality [52][53][54], general self-efficacy [66,67] and the promotion regulatory focus are associated with a decrease in Burnout among workers. This suggests that nurses who tend to face demands and obstacles that appear during their professional practice and who feel capable of it are not as burnt.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…Thus, the professionals least affected by the burnout syndrome showed higher levels in all the individual variables mentioned above. This coincides with the literature, which suggests that Job Crafting [37,43], proactive personality [52][53][54], general self-efficacy [66,67] and the promotion regulatory focus are associated with a decrease in Burnout among workers. This suggests that nurses who tend to face demands and obstacles that appear during their professional practice and who feel capable of it are not as burnt.…”
Section: Discussionsupporting
confidence: 91%
“…This variable has also been shown to be closely related to turnover in nursing, increasing retention of these workers in their job and patient satisfaction [65]. In this regard, self-efficacy has been found to be a protector variable against developing burnout [66,67]. Specifically, self-efficacy acts as a mediator in the relationship between the work overload to which nurses are subjected and level of burnout [68,69].…”
Section: Individual Variables and Their Relationship With Job Craftin...mentioning
confidence: 99%
“…Thus, the professionals least affected by the burnout syndrome showed higher levels in all the individual variables mentioned above. This coincides with the literature, which suggests that Job Crafting [21,26], proactive personality [35][36][37], general self-e cacy [48,49] and the promotion regulatory focus are associated with a decrease in Burnout among workers.…”
Section: Discussionsupporting
confidence: 90%
“…This variable has also been shown to be closely related to turnover in nursing, increasing retention of these workers in their job and patient satisfaction [47]. In this regard, self-e cacy has been found to be a protector variable against developing burnout [48,49] and a predictor of passion one's work [50]. Speci cally, self-e cacy acts as a mediator in the relationship between the work overload to which healthcare professionals are subjected and level of burnout [51,52].…”
Section: Individual Variables and Their Relationship With Job Craftinmentioning
confidence: 99%
“…At the same time, although the study believes that work engagement is an effective measure to interfere with job burnout of village doctors [6], the impact of work engagement on burnout is still lack of empirical research. Meanwhile, existing studies have mostly used chi-square test, t-test, Analysis of Variance (ANOVA) and, multiple linear or multiple logistic regression analysis, to analyze the factors in uencing job burnout [5,[10][11][12][13][14][15][16]. Compared with the above research, structural equation modeling (SEM) can not only measure the correlation between research variables, but also dig the correlation between potential variables, and even explain the causal relationship between variables.…”
Section: Introductionmentioning
confidence: 99%