University of Montenegro, Niksic, Montenegro.
Radboud University, Nijmegen, The Netherlands.
Work. 2024;78(4):1081-1092. doi: 10.3233/WOR-230347.
The academic environment is known for its high demands in research, teaching, and administration, that along with increasing publish or perish culture can lead to reduced psychological well-being and mental health issues.
This study aimed to investigate the associations between workaholism, work engagement, and burnout among academics in Montenegro.
A cross-sectional design was used to develop anonymous online survey. Data was collected from 131 participants employed as teaching and research staff at public and private universities. To measure the variables of interest we used: ultra-short Utrecht Work Engagement Scale (UWES-3), the work-related burnout subscale from the Copenhagen Burnout Inventory (CBI-7) and the Dutch Work Addiction Scale (DUWAS-10). Psychometric network analysis was employed to examine the relationships among variables.
The findings revealed two distinct clusters: the first containing the dimensions of work engagement and the second containing burnout and the dimensions of workaholism. The two clusters were connected with the dimensions of dedication - burnout having the strongest edge (-0.25 and -0.40). In the cross-sample network the strongest connection was burnout -working excessively (.35). No significant differences in network density (0.80 (12/15 edges)) and global strength (p = 0.159) in the networks of public and private universities were found.
Results of the network centrality and the edge strength analyses suggest that the interventions focused at increasing dedication while not fostering a work environment that encourages working excessively might be the key to preventing and reducing burnout in academia across contexts of public and private universities.
学术环境以其在研究、教学和管理方面的高要求而闻名,再加上日益增长的“发表或灭亡”文化,可能会导致心理健康和心理健康问题的减少。
本研究旨在调查黑山学术人员工作狂、工作投入和倦怠之间的关系。
采用横断面设计,开发匿名在线调查。数据来自 131 名在公立和私立大学担任教学和研究人员的参与者。为了测量感兴趣的变量,我们使用了:超短乌得勒支工作投入量表(UWES-3)、哥本哈根倦怠量表(CBI-7)中的工作相关倦怠子量表和荷兰工作成瘾量表(DUWAS-10)。采用心理网络分析来检验变量之间的关系。
研究结果揭示了两个不同的聚类:第一个聚类包含工作投入的维度,第二个聚类包含倦怠和工作狂的维度。这两个聚类通过奉献维度相连-倦怠具有最强的边缘(-0.25 和-0.40)。在交叉样本网络中,最强的连接是倦怠-工作过度(.35)。公立和私立大学网络的网络密度(0.80(12/15 个边))和全局强度(p=0.159)没有显著差异。
网络中心性和边强度分析的结果表明,重点增加奉献精神而不培养鼓励过度工作的工作环境的干预措施可能是预防和减少公共和私立大学学术领域倦怠的关键。