Sabina Osmanovic, Sofija Pajic, Ivana B Petrovic, Igor Portoghese
{"title":"Workaholism, work engagement, and burnout among academics in Montenegro: A psychometric network approach.","authors":"Sabina Osmanovic, Sofija Pajic, Ivana B Petrovic, Igor Portoghese","doi":"10.3233/WOR-230347","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>This study aimed to investigate the associations between workaholism, work engagement, and burnout among academics in Montenegro.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":51373,"journal":{"name":"Work-A Journal of Prevention Assessment & Rehabilitation","volume":" ","pages":"1081-1092"},"PeriodicalIF":1.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Work-A Journal of Prevention Assessment & Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/WOR-230347","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: 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.
Objective: This study aimed to investigate the associations between workaholism, work engagement, and burnout among academics in Montenegro.
Methods: 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.
Results: 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.
Conclusion: 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.
期刊介绍:
WORK: A Journal of Prevention, Assessment & Rehabilitation is an interdisciplinary, international journal which publishes high quality peer-reviewed manuscripts covering the entire scope of the occupation of work. The journal''s subtitle has been deliberately laid out: The first goal is the prevention of illness, injury, and disability. When this goal is not achievable, the attention focuses on assessment to design client-centered intervention, rehabilitation, treatment, or controls that use scientific evidence to support best practice.