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Multidimensionality of stress: risk factors and protective factors for health outcomes

stmm. 2025 (3): 175–196

DOI https://doi.org/10.15407/sociology2025.03.175

Full text: https://stmm.in.ua/archive/ukr/2025-3/11.pdf

KATERYNA MALTSEVA, Dr. habil. in Sociology, Associate Professor, Head of the Department of Sociology, NaUKMA (8/5, Volos`ka St., Build. 4, Kyiv, 04655)

maltsevaKS@ukma.edu.ua

http://orcid.org/0000-0001-6540-8734

In research literature stress is characterized as a multidimensional phenomenon that comprises antecedents of stress, its cognitive appraisal, emotional and physiological consequences, as well as coping strategies. Stress response is an ontologically ancient adaptation that has been inextricably connected to all biological life. Stress response is instrumental to help the organism react to the signals of danger more efficiently and adapt to environmental changes that otherwise threaten its integrity, health, or life. Stress response is considered adaptive (i.e. helpful) as it allows an organism to mobilize in order to address the stressor and then to recover its balance once the mobilization necessary to address the stressful situation has taken place. However, when the stressor is prolonged, traumatic, or chronic, the stress exposure can result in pathological changes in human physiology or mental health. Different stressors affects different individuals and situations differently, which should be taken into consideration when developing stress measures as different stressors can have dissimilar potential to leave their mark on human physiology or immunity. This work reviews stressors typologies based on stress duration, intensity and character. Theoretical models that deal with stress and stress dynamics have undergone some changes; metrics of stress have been also subject to evolutionary changes, recently privileging those instruments that can efficiently combine the effects of acute and chronic stress. An important aspect of understanding the effects of stress on health is the distinction between the effects of the objective stress exposure and that of perceived, subjective stress on health outcomes, as well as a good grasp of the protective resources of resilience to stress. This article sheds light on the protective factors that boost resilience — social relationships, optimistic disposition, forgiveness, and reacting to failure with self-compassion — from the point of view of the theoretical explanations (i.e. mechanisms) and on the basis of empirical data.

Keywords: stress; stressors; stress exposure; perceived stress; resilience; health; nomological network; measurement

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Received 06.05.2025

Multidimensionality of stress: risk factors and protective factors for health outcomes

stmm. 2025 (3): 175–196

DOI https://doi.org/10.15407/sociology2025.03.175

Full text: https://stmm.in.ua/archive/ukr/2025-3/11.pdf

KATERYNA MALTSEVA, Dr. habil. in Sociology, Associate Professor, Head of the Department of Sociology, NaUKMA (8/5, Volos`ka St., Build. 4, Kyiv, 04655)

maltsevaKS@ukma.edu.ua

http://orcid.org/0000-0001-6540-8734

In research literature stress is characterized as a multidimensional phenomenon that comprises antecedents of stress, its cognitive appraisal, emotional and physiological consequences, as well as coping strategies. Stress response is an ontologically ancient adaptation that has been inextricably connected to all biological life. Stress response is instrumental to help the organism react to the signals of danger more efficiently and adapt to environmental changes that otherwise threaten its integrity, health, or life. Stress response is considered adaptive (i.e. helpful) as it allows an organism to mobilize in order to address the stressor and then to recover its balance once the mobilization necessary to address the stressful situation has taken place. However, when the stressor is prolonged, traumatic, or chronic, the stress exposure can result in pathological changes in human physiology or mental health. Different stressors affects different individuals and situations differently, which should be taken into consideration when developing stress measures as different stressors can have dissimilar potential to leave their mark on human physiology or immunity. This work reviews stressors typologies based on stress duration, intensity and character. Theoretical models that deal with stress and stress dynamics have undergone some changes; metrics of stress have been also subject to evolutionary changes, recently privileging those instruments that can efficiently combine the effects of acute and chronic stress. An important aspect of understanding the effects of stress on health is the distinction between the effects of the objective stress exposure and that of perceived, subjective stress on health outcomes, as well as a good grasp of the protective resources of resilience to stress. This article sheds light on the protective factors that boost resilience — social relationships, optimistic disposition, forgiveness, and reacting to failure with self-compassion — from the point of view of the theoretical explanations (i.e. mechanisms) and on the basis of empirical data.

Keywords: stress; stressors; stress exposure; perceived stress; resilience; health; nomological network; measurement

References:

  1. Bishevets, N.H., Andreeva, O.V. (2024). The impact of stressogenic factors on health and behavioral disorders among student youth. [In Ukrainian]. In: Sports Medicine, Physical Therapy and Occupational Therapy.

  2. Brenner, S.L., Jones, J.P., Rutanen-Whaley, R.H., Parker, W., Flinn, M.V., & Muehlenbein, M.P. (2015). Evolutionary mismatch and chronic psychological stress. Journal of Evolutionary Medicine, 3, 1-11. https://doi.org/10.4303/jem/235885

  3. Brissette, I., Scheier, M.F., & Carver, C.S. (2002). The role of optimism in social network development, coping, and psychological adjustment during a life transition. Journal of Personality and Social Psychology, 82(1), 102-111. https://doi.org/10.1037/0022-3514.82.1.102

  4. Carver, C.S. & Scheier, M.F. (2017). Optimism, coping, and well-being. In: Cooper, C.L. & Campbell, J. (Eds.), The Handbook of Stress and Health: A Guide to Research and Practice. 1st edn. (ch. 24, pp. 400-414). New York: John Wiley & Sons. https://doi.org/10.1002/9781118993811.ch24

  5. Carver, C.S., Scheier, M.F., & Segerstrom, S.C. (2010). Optimism. Clinical Psychology Review, 30(7), 879-889. https://doi.org/10.1016/j.cpr.2010.01.006

  6. Charles, S.J., Stevenson, C., Wakefield, J.R.H., & Fino, E. (2023). Diversity of group memberships predicts well-being: Cross-sectional and longitudinal evidence. Personality and Social Psychology Bulletin, 1-14. https://doi.org/10.1177/01461672231202278

  7. Christensen, D., Dich, N., Flensborg-Madsen, T., Garde, E., Hansen, Å., & Mortensen, E. (2019). Objective and subjective stress, personality, and allostatic load. Brain and Behavior, 9(9), 1-11. https://doi.org/10.1002/brb3.1386

  8. Cohen, S., Gottlieb, B.H., & Underwood, L.G. (2001). Social relationships and health: Challenges for measurement and intervention. Advances in Mind-Body Medicine, 17(2), 129-141.

  9. Cohen, S., Gottlieb, B.H., Underwood, L.G. (2000). Social relationships and health. In: S. Cohen, L.G. Underwood, B.H. Gottlieb (Eds.), Measuring and intervening in social support (pp. 3-25). New York: Oxford University Press. https://doi.org/10.1093/med:psych/9780195126709.003.0001

  10. Cohen, S., Janicki-Deverts, D., & Miller, G. E. (2007). Psychological stress and disease. Journal of the American Medical Association, 298(14), 1685-1687. https://doi.org/10.1001/jama.298.14.1685

  11. Cohen, S., Murphy, M.L. M., & Prather, A.A. (2018). Ten surprising facts about stressful life events and disease risk. Annual Review of Psychology, 70(1), 1-21. https://doi.org/10.1146/annurev-psych-010418-102857

  12. Crosswell, A.D. & Lockwood, K.G. (2020). Best practices for stress measurement: How to measure psychological stress in health research. Health Psychology Open, 7(2), 2055102920933072. https://doi.org/10.1177/2055102920933072

  13. Cundiff, J.M., Boylan, J.M., & Muscatell, K.A. (2020). The pathway from social status to physical health: Taking a closer look at stress as a mediator. Current Directions in Psychological Science, 29(2), 147-153. https://doi.org/10.1177/0963721420901596

  14. David-Barrett, T. (2019). Network effects of demographic transition. Science Reports, 9, 2361. https://doi.org/10.1038/s41598-019-39025-4

  15. Dembitskyi, S., Stepanenko, V., Zlobina, O., Golovakha, Ye., Naidyonova, L. (2024). Psychological stressors of wartime: prevalence and effects among the population of Ukraine. [In Ukrainian]. Sociology: Theory, Methods, Marketing, 4, 5-26. https://doi.org/10.15407/sociology2024.04.005

  16. Dorsey, A., Scherer, E., Eckhoff, R., & Furberg, R. (2022). Measurement of human stress: A multidimensional approach [Internet]. Research Triangle Park (NC): RTI Press, 2022 Jun. https://doi.org/10.3768/rtipress.2022.op.0073.2206

  17. Elliot, G.R. & Eisdorfer, C. (1982). Stress and human health: An analysis and implications of research. A study by the Institute of Medicine, National Academy of Sciences. New York: Springer Publishing.

  18. Engel, G.L. (1977). The need for a new medical model: a challenge for biomedicine. Science (New York, N.Y.), 196(4286), 129-136. https://doi.org/10.1126/science.847460

  19. Epel, E.S., Crosswell, A.D., Mayer, S.E., Prather, A.A., Slavich, G.M., Puterman, E., & Mendes, W.B. (2018). More than a feeling: A unified view of stress measurement for population science. Frontiers in Neuroendocrinology, 49, 146-169. https://doi.org/10.1016/j.yfrne.2018.03.001

  20. Fauver, M., Clark, E.M., & Schwartz, C.E. (2024). A new framework for understanding stress and disease: The developmental model of stress as applied to multiple sclerosis. Frontiers in Integrative Neuroscience, 18, 1365672. https://doi.org/10.3389/fnint.2024.1365672

  21. Fitzgerald, K.N., Hodges, R., Hanes, D., Stack, E., Cheishvili, D., Szyf, M., ... & Bradley, R. (2021). Potential reversal of epigenetic age using a diet and lifestyle intervention: a pilot randomized clinical trial. Aging, 13(7), 9419-9432. https://doi.org/10.18632/aging.202913

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