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Perceived stress across population segments characterized by differing stressor profiles—A latent class analysis

Author

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  • Finn Breinholt Larsen
  • Mathias Lasgaard
  • Morten Vejs Willert
  • Jes Bak Sørensen

Abstract

Objective: We aimed to 1) identify distinct segments within the general population characterized by various combinations of stressors (stressor profiles) and to 2) examine the socio-demographic composition of these segments and their associations with perceived stress levels. Methods: Segmentation was carried out by latent class analysis of nine self-reported stressors in a representative sample of Danish adults (N = 32,417) aged 16+ years. Perceived stress level was measured by the Perceived Stress Scale (PSS). Results: Seven classes were identified: Class 1 was labeled Low Stressor Burden (64% of the population) and the remaining six classes, which had different stressor combinations, were labeled: 2) Burdened by Financial, Work, and Housing Stressors (10%); 3) Burdened by Disease and Death among Close Relatives (9%); 4) Burdened by Poor Social Support and Strained Relationships (8%); 5) Burdened by Own Disease (6%); 6) Complex Stressor Burden Involving Financial, Work, and Housing Stressors (2%); and 7) Complex Stressor Burden Involving Own Disease and Disease and Death among Close Relatives (2%). Being female notably increased the likelihood of belonging to Classes 2, 3, 5, and 7. Higher age increased the likelihood of belonging to Class 3. Low educational attainment increased the likelihood of belonging to Classes 5 and 6. A significant difference was observed in perceived stress levels between the seven latent classes. Average PSS varied from 9.0 in Class 1 to 24.2 in Class 7 and 25.0 in Class 6. Conclusion: Latent class analysis allowed us to identify seven population segments with various stressor combinations. Six of the segments had elevated perceived stress levels but differed in terms of socioeconomic composition and stressor combinations. These insights may inform a strategy aimed at improving mental health in the general population by targeting efforts to particular population segments, notably segments experiencing challenging life situations.

Suggested Citation

  • Finn Breinholt Larsen & Mathias Lasgaard & Morten Vejs Willert & Jes Bak Sørensen, 2025. "Perceived stress across population segments characterized by differing stressor profiles—A latent class analysis," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-22, January.
    • Handle: RePEc:plo:pone00:0316759
    DOI: 10.1371/journal.pone.0316759
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    References listed on IDEAS

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    1. Christiansen, Julie & Larsen, Finn Breinholt & Lasgaard, Mathias, 2016. "Do stress, health behavior, and sleep mediate the association between loneliness and adverse health conditions among older people?," Social Science & Medicine, Elsevier, vol. 152(C), pages 80-86.
    2. Amrita Chhachhi & Guy Standing, 2014. "Understanding the Precariat through Labour and Work," Development and Change, International Institute of Social Studies, vol. 45(5), pages 963-980, September.
    3. Bakk, Zsuzsa & Oberski, Daniel L. & Vermunt, Jeroen K., 2014. "Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference," Political Analysis, Cambridge University Press, vol. 22(4), pages 520-540.
    4. Ivan Marzocchi & Valerio Ghezzi & Cristina Di Tecco & Matteo Ronchetti & Valeria Ciampa & Ilaria Olivo & Claudio Barbaranelli, 2023. "Demand–Resource Profiles and Job Satisfaction in the Healthcare Sector: A Person-Centered Examination Using Bayesian Informative Hypothesis Testing," IJERPH, MDPI, vol. 20(2), pages 1-21, January.
    5. Gove, Walter R., 1984. "Gender differences in mental and physical illness: The effects of fixed roles and nurturant roles," Social Science & Medicine, Elsevier, vol. 19(2), pages 77-84, January.
    6. Elena Caroline Weitzel & Margrit Löbner & Heide Glaesmer & Andreas Hinz & Samira Zeynalova & Sylvia Henger & Christoph Engel & Nigar Reyes & Kerstin Wirkner & Markus Löffler & Steffi G. Riedel-Heller, 2022. "The Association of Resilience with Mental Health in a Large Population-Based Sample (LIFE-Adult-Study)," IJERPH, MDPI, vol. 19(23), pages 1-14, November.
    7. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
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