IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6179-d819295.html
   My bibliography  Save this article

Does Training Motivation Influence Resilience Training Outcome on Chronic Stress? Results from an Interventional Study

Author

Listed:
  • Madlaina Niederhauser

    (Military Academy, Swiss Federal Institute of Technology ETH Zurich, 8903 Birmensdorf, Switzerland)

  • Regula Zueger

    (Military Academy, Swiss Federal Institute of Technology ETH Zurich, 8903 Birmensdorf, Switzerland)

  • Sandra Sefidan

    (Military Academy, Swiss Federal Institute of Technology ETH Zurich, 8903 Birmensdorf, Switzerland)

  • Hubert Annen

    (Military Academy, Swiss Federal Institute of Technology ETH Zurich, 8903 Birmensdorf, Switzerland)

  • Serge Brand

    (Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah 67146, Iran
    Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah 67146, Iran
    School of Medicine, Tehran University of Medical Sciences, Tehran 25529, Iran
    Division of Sport Science and Psychosocial Health, Department of Sport, Exercise and Health, University of Basel, 4052 Basel, Switzerland)

  • Dena Sadeghi-Bahmani

    (Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah 67146, Iran
    Department of Psychology, Stanford University, Stanford, CA 94305, USA
    Center for Affective, Stress and Sleep Disorders (ZASS), Psychiatric University Hospital Basel, 4002 Basel, Switzerland)

Abstract

Resilience is understood as an acquired skill which aids in coping with acute and chronic stress. Accordingly, the present study aimed to determine the effect of resilience training on mental health problems during chronic stress. To this end, we conducted a quasi-experimental study with 127 male cadets (mean age: 21 years) of the Swiss Armed Forces officers’ school. Whereas the intervention group (IG) received resilience training in addition to the standard officer’s education program, the control group (CG) completed the officers’ school as usual. Data assessment included pre- and post- measurement of chronic stress, symptoms of depression, and vital exhaustion in both groups. Motivation for training was collected before the first training session. Those who received the resilience training reported no change in chronic stress, whereas participants in the CG showed a significant increase in chronic stress over time ( η p 2 = 0.025). Furthermore, significant differences between IG and CG were only found for symptoms of depression: Participants in the IG reported significantly decreased symptoms of depression, while this was not the case for participants in the CG. Within the IG, participants’ training motivation strongly influenced the effectiveness of the resilience training. More specifically, motivated individuals were more likely to benefit from the resilience training than unmotivated ones. Outcome data suggest that resilience training appeared to favorably affect chronic stress and related mental health symptoms; however, the motivation for the training seemed to be an essential prerequisite.

Suggested Citation

  • Madlaina Niederhauser & Regula Zueger & Sandra Sefidan & Hubert Annen & Serge Brand & Dena Sadeghi-Bahmani, 2022. "Does Training Motivation Influence Resilience Training Outcome on Chronic Stress? Results from an Interventional Study," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6179-:d:819295
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6179/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/10/6179/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aaron L Leppin & Pavithra R Bora & Jon C Tilburt & Michael R Gionfriddo & Claudia Zeballos-Palacios & Megan M Dulohery & Amit Sood & Patricia J Erwin & Juan Pablo Brito & Kasey R Boehmer & Victor M Mo, 2014. "The Efficacy of Resiliency Training Programs: A Systematic Review and Meta-Analysis of Randomized Trials," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-15, October.
    2. Krieger, Nancy & Smith, Kevin & Naishadham, Deepa & Hartman, Cathy & Barbeau, Elizabeth M., 2005. "Experiences of discrimination: Validity and reliability of a self-report measure for population health research on racism and health," Social Science & Medicine, Elsevier, vol. 61(7), pages 1576-1596, October.
    3. Sandra Sefidan & Maria Pramstaller & Roberto La Marca & Thomas Wyss & Dena Sadeghi-Bahmani & Hubert Annen & Serge Brand, 2021. "Resilience as a Protective Factor in Basic Military Training, a Longitudinal Study of the Swiss Armed Forces," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    4. John Feddersen & Robert Metcalfe & Mark Wooden, 2016. "Subjective wellbeing: why weather matters," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 203-228, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabian T C Schmidt & Clemens M Lechner & Daniel Danner, 2020. "New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-25, February.
    2. Alfonso Urzúa & Alejandra Caqueo-Urízar & Diego Henríquez & David R. Williams, 2021. "Discrimination and Health: The Mediating Effect of Acculturative Stress," IJERPH, MDPI, vol. 18(10), pages 1-11, May.
    3. Johnston, David W. & Lordan, Grace, 2012. "Discrimination makes me sick! An examination of the discrimination–health relationship," Journal of Health Economics, Elsevier, vol. 31(1), pages 99-111.
    4. Guglielmo Zappalà, 2023. "Drought Exposure and Accuracy: Motivated Reasoning in Climate Change Beliefs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 649-672, August.
    5. Correa-Velez, Ignacio & Gifford, Sandra M. & Barnett, Adrian G., 2010. "Longing to belong: Social inclusion and wellbeing among youth with refugee backgrounds in the first three years in Melbourne, Australia," Social Science & Medicine, Elsevier, vol. 71(8), pages 1399-1408, October.
    6. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    7. Lynn N. Ibekwe & Maria Eugenia Fernández-Esquer & Sandi L. Pruitt & Nalini Ranjit & Maria E. Fernández, 2021. "Racism and Cancer Screening among Low-Income, African American Women: A Multilevel, Longitudinal Analysis of 2-1-1 Texas Callers," IJERPH, MDPI, vol. 18(21), pages 1-19, October.
    8. Deepak Sartaj & Vijay Krishnan & Ravindra Rao & Atul Ambekar & Neeraj Dhingra & Pratap Sharan, 2021. "Mental illnesses and related vulnerabilities in the Hijra community: A cross-sectional study from India," International Journal of Social Psychiatry, , vol. 67(3), pages 290-297, May.
    9. Shippee, Tetyana Pylypiv & Schafer, Markus H. & Ferraro, Kenneth F., 2012. "Beyond the barriers: Racial discrimination and use of complementary and alternative medicine among Black Americans," Social Science & Medicine, Elsevier, vol. 74(8), pages 1155-1162.
    10. Akay, Alpaslan & Bargain, Olivier & Elsayed, Ahmed, 2020. "Global terror, well-being and political attitudes," European Economic Review, Elsevier, vol. 123(C).
    11. Marcelle M. Dougan & Marian Tzuang & Bora Nam & Oanh L. Meyer & Janice Y. Tsoh & Van M. Ta Park, 2024. "Discrimination Experiences among Asian American and Pacific Islander Adults during the COVID-19 Pandemic and Their Association with Mental Health Outcomes: Updated Findings from the COMPASS Study," IJERPH, MDPI, vol. 21(6), pages 1-16, June.
    12. Federica Cugnata & Silvia Salini & Elena Siletti, 2021. "Deepening Well-Being Evaluation with Different Data Sources: A Bayesian Networks Approach," IJERPH, MDPI, vol. 18(15), pages 1-10, July.
    13. Akay, Alpaslan & Bargain, Olivier & Elsayed, Ahmed, 2018. "Everybody's a Victim? Global Terror, Well-Being and Political Attitudes," Working Papers in Economics 733, University of Gothenburg, Department of Economics.
    14. Aatishya Mohanty & Nattavudh Powdthavee & Cheng Keat Tang & Andrew J. Oswald, 2024. "Temperature Variability and Natural Disasters," Papers 2409.14936, arXiv.org.
    15. Nancy Krieger & Pamela D Waterman & Anna Kosheleva & Jarvis T Chen & Dana R Carney & Kevin W Smith & Gary G Bennett & David R Williams & Elmer Freeman & Beverley Russell & Gisele Thornhill & Kristin M, 2011. "Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-24, November.
    16. Iacus Stefano M. & Salini Silvia & Siletti Elena & Porro Giuseppe, 2020. "Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal," Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.
    17. Yonas Alem & Jonathan Colmer, 2015. "Consumption smoothing and the welfare cost of uncertainty," GRI Working Papers 118b, Grantham Research Institute on Climate Change and the Environment.
    18. Yonas Alem & Jonathan Colmer, 2015. "Consumption Smoothing and the Welfare Cost of Uncertainty," CEP Discussion Papers dp1369, Centre for Economic Performance, LSE.
    19. S. M. Iacus & G. Porro & S. Salini & E. Siletti, 2022. "An Italian Composite Subjective Well-Being Index: The Voice of Twitter Users from 2012 to 2017," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 471-489, June.
    20. Dolan, Paul & Kavetsos, Georgios & Krekel, Christian & Mavridis, Dimitris & Metcalfe, Robert & Senik, Claudia & Szymanski, Stefan & Ziebarth, Nicolas R., 2019. "Quantifying the intangible impact of the Olympics using subjective well-being data," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6179-:d:819295. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.