20.500.12556/RUP-21539 Risk of job loss during the COVID-19 pandemic predicts anxiety in women Background and Objective: During the COVID-19 pandemic, women faced unique employment-related stressors, including higher exposure to unstable working conditions, increased workload changes due to motherhood, and greater risk of infection in certain jobs. This study explores how these factors influence women’s anxiety and subjective well-being, aiming to identify vulnerable groups. Materials and Methods: 230 employed Slovene women, aged from 19 to 64 years (M = 32.60, SD = 10.41), participated in an online survey containing a State-Trait Anxiety Inventory (STAI-6), WHO-5 Well-being Index, and a set of questions regarding their occupation and demographic profile. Hierarchical linear regressions and chi-squared tests were performed. Results: The risk of job or income loss significantly predicted an increase in anxiety levels. However, despite fear of infection, none of the work-related variables predicted a significant decrease in subjective well-being. Women reporting risk of job or income loss are predominantly those with lower education and income, working students, self-employed, or working in the private sector. Conclusions: Employment insecurity is an important contributor to anxiety in women. The findings highlight the need to ensure job security, particularly for women working in precariat working conditions, as their work and economic stability prove to be vulnerable to external economic disturbances. COVID-19 women employment insecurity anxiety mental health COVID-19 ženske zaposlitev nesigurnost anksioznost duševno zdravje true false false Angleški jezik Slovenski jezik Članek v reviji 2025-08-08 13:09:32 2025-08-08 13:09:35 2025-08-10 03:02:19 0000-00-00 00:00:00 2025 0 0 str. 1-12 iss. 2, [article no.] 178 Vol. 61 Feb. 2025 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2025-01-21 159.9:616-036.21 1648-9144 10.3390/medicina61020178 225907203 RAZ_Krohne_Nina_2025.pdf RAZ_Krohne_Nina_2025.pdf 1 2815D6FDE7504AF27CF484F6CD600C8D 016fac6c4616d9cb53af50e6db03776de09e2e519ccf5b0cced765b5450b7f5a 6575b72d-7448-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=31328 https://www.mdpi.com/1648-9144/61/2/178 1 348e7526-7448-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=31327 Fakulteta za matematiko, naravoslovje in informacijske tehnologije Inštitut Andrej Marušič 0 0 0