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Predictors of Psychological Strain and Allostatic Load in Teachers: Examining the Long-Term Effects of Biopsychosocial Risk and Protective Factors Using a LASSO Regression Approach

Author

Listed:
  • Alexander Wettstein

    (Department of Research and Development, University of Teacher Education Bern, 3012 Bern, Switzerland)

  • Gabriel Jenni

    (Department of Research and Development, University of Teacher Education Bern, 3012 Bern, Switzerland)

  • Ida Schneider

    (Department of Research and Development, University of Teacher Education Bern, 3012 Bern, Switzerland)

  • Fabienne Kühne

    (Department of Research and Development, University of Teacher Education Bern, 3012 Bern, Switzerland)

  • Martin grosse Holtforth

    (Clinical Psychology and Psychotherapy, Department of Psychology, University of Bern, 3012 Bern, Switzerland
    Psychosomatic Medicine, Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland)

  • Roberto La Marca

    (Department of Research and Development, University of Teacher Education Bern, 3012 Bern, Switzerland
    Clinica Holistica Engiadina, Centre for Stress-Related Disorders, 7542 Susch, Switzerland
    Clinical Psychology and Psychotherapy, Department of Psychology, University of Zurich, 8050 Zurich, Switzerland)

Abstract

Teacher stress significantly challenges teachers’ health, teaching quality, and students’ motivation and achievement. Thus, it is crucial to identify factors that effectively prevent it. Using a LASSO regression approach, we examined which factors predict teachers’ psychological strain and allostatic load over two years. The study included 42 teachers (28 female, M age = 39.66, SD = 11.99) and three measurement time points: At baseline, we assessed teachers’ (a) self-reports (i.e., on personality, coping styles, and psychological strain), (b) behavioral data (i.e., videotaped lessons), and (c) allostatic load (i.e., body mass index, blood pressure, and hair cortisol concentration). At 1- and 2-year follow-ups, psychological strain and allostatic load biomarkers were reassessed. Neuroticism and perceived student disruptions at baseline emerged as the most significant risk factors regarding teachers’ psychological strain two years later, while a positive core self-evaluation was the most important protective factor. Perceived support from other teachers and the school administration as well as adaptive coping styles were protective factors against allostatic load after two years. The findings suggest that teachers’ psychological strain and allostatic load do not primarily originate from objective classroom conditions but are attributable to teachers’ idiosyncratic perception of this environment through the lens of personality and coping strategies.

Suggested Citation

  • Alexander Wettstein & Gabriel Jenni & Ida Schneider & Fabienne Kühne & Martin grosse Holtforth & Roberto La Marca, 2023. "Predictors of Psychological Strain and Allostatic Load in Teachers: Examining the Long-Term Effects of Biopsychosocial Risk and Protective Factors Using a LASSO Regression Approach," IJERPH, MDPI, vol. 20(10), pages 1-20, May.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:10:p:5760-:d:1142548
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    References listed on IDEAS

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    1. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
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