Affiliation:
1. Department of Psychology Stockholm University Stockholm Sweden
2. Department of Learning, Informatics, Management and Ethics Karolinska Institutet Solna Sweden
Abstract
Job insecurity is a work stressor associated with various health‐related impairments. As concerns about the ubiquity of job insecurity in academia have become increasingly prominent, the potential implications of job insecurity for the health and well‐being of faculty require attention. Specifically, these implications may vary between groups within academia, yet little is known about such variations, particularly with respect to different indicators of health and well‐being. This study aims to identify and examine profiles of job insecurity (including quantitative and qualitative dimensions) in relation to exhaustion, depressive symptoms, well‐being, and work–family conflict among faculty in Sweden. Self‐reports in questionnaires were collected in 2021 from a representative sample of faculty, with a doctoral degree, working in Swedish public higher education institutions (N = 2,729 respondents; 48% women; average age: 50 years; 82% born in Sweden). Latent profile analysis was conducted to identify profiles of job insecurity, followed by statistical comparisons on demographic covariates and health‐related indicators across profiles. The latent profile analysis revealed five job insecurity profiles: the moderately insecure (n = 215), the secure (n = 1777), the secure; quality‐concerned (n = 406), the insecure; employment‐concerned (n = 177), and the insecure (n = 154). Twelve percent of the sample was identified as vulnerable, particularly the insecure profile, where these individuals may be most at a risk for exhaustion disorder and depression. Among faculty in Sweden, quantitative and qualitative dimensions of job insecurity appear to be closely connected, with the qualitative dimension seemingly more informative for health‐related indicators.
Funder
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Reference65 articles.
1. Asparouhov T.&Muthén B.(2012).Using Mplus TECH11 and TECH14 to test the number of latent classesMplus Web Notes No. 14.
2. Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model;Asparouhov T.;Mplus Web Notes,2021
3. The Person-Oriented Versus the Variable-Oriented Approach: Are They Complementary, Opposites, or Exploring Different Worlds?
4. Introduction: The Person-oriented approach: Roots and roads to the future
5. A person-oriented approach in research on developmental psychopathology