Capillary, salivary and serum cortisol as biomarkers of stress in teachers: a mapping of the literature
DOI:
https://doi.org/10.33936/qkrcs.v9i2.7029Abstract
Job stress is a key risk factor for teachers’ mental health, affecting their psychological well-being. In Ecuador, studies have identified that workload, academic expectations and working conditions contribute to stress, burnout and disorders such as anxiety and depression. Cortisol has been used as a key biological indicator to assess these conditions. The objective was to map the scientific evidence on capillary, salivary and serum cortisol levels in relation to stress in teachers. A scoping review was conducted following the guidance of the Joanna Briggs Institute, with systematic searches in PubMed, Science Direct and Google Scholar, including studies published between 2019 and 2024, without language restriction. Of the studies analyzed, 64.28% used salivary samples to assess cortisol. The results highlight that factors such as occupational stress, workload, and stress management strategies significantly influence cortisol levels, confirming it as an effective biomarker of stress in teachers. It is crucial to address the gaps in the literature, especially in developing country contexts, and to promote the use of more sensitive tools to assess the impact of chronic stress on teachers’ mental health.
Downloads
References
1. Doan SN, Davis AS, Fuller TE. Cortisol and changes in depressive symptoms: The moderating role of DHEA. Psychoneuroendocrinology [Internet]. marzo de 2024;161:106941. Disponible en: https://www.sciencedirect.com/science/article/abs/pii/S0306453023009198
2. López J. Estrés y cortisol en los docentes de la Universidad Técnica del Norte, 2020 [Internet]. [Ibarra]: Universidad Técnica del Norte; 2020. Disponible en: http://repositorio.utn.edu.ec/bitstream/123456789/10732/2/06%20ENF%201165%20TRABAJO%20GRADO.pdf
3. Rojas JL, Flores G, Cuaya IG. Principales aspectos metodológicos en el estudio del estrés laboral en personal universitario: Una revisión sistemática. Rev Digit Invest Docencia Univ [Internet]. el 14 de noviembre de 2021;15(1):e1248. Disponible en: http://www.scielo.org.pe/pdf/ridu/v15n1/2223-2516-ridu-15-01-e1248.pdf
4. La OMS y la OIT piden nuevas medidas para abordar los problemas de salud mental en el trabajo [Internet]. WHO. 2022 [citado el 18 de junio de 2024]. Disponible en: https://www.who.int/es/news/item/28-09-2022-who-and-ilo-call-for-new-measures-to-tackle-mental-health-issues-at-work
5. Lemos M, Calle G, Roldán T, Valencia M, Orejuela J, Román J. Factores psicosociales asociados al estrés en profesores universitarios colombianos. Diver: Perspect Psicol [Internet]. 2019;15(1):61–72. Disponible en: http://www.scielo.org.co/pdf/dpp/v15n1/1794-99-98-dpp-15-01-61-71.pdf
6. Ruiz A, Razo M. Estrategia de prevención a través de la identificación de biomarcadores asociados al estrés laboral en docentes universitario [Internet]. [Ambato]: Universidad Técnica de Ambato; 2021. Disponible en: https://repositorio.uta.edu.ec:8443/jspui/handle/123456789/33177
7. Párraga K, Escobar G. Estrés laboral en docentes de educación básica por el cambio de modalidad de estudio presencial a virtual. Ycs [Internet]. el 16 de noviembre de 2020;4(7 Edición especial):142–55. Disponible en: http://dx.doi.org/10.46296/yc.v4i7edesp.0067
8. Peters MD, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil H. Scoping reviews. En: Aromataris E, Lockwood C, Porritt K, Pilla B, Jordan Z, editores. JBI Manual for Evidence Synthesis [Internet]. JBI; 2024. Disponible en: https://doi.org/10.46658/JBIMES-24-09
9. Agyapong B, Obuobi G, Burback L, Wei Y. Stress, Burnout, Anxiety and Depression among Teachers: A Scoping Review. Int J Environ Res Public Health [Internet]. el 27 de agosto de 2022;19(17):10706. Disponible en: https://doi.org/10.3390/ijerph191710706
10. Schaafsma F, Hulsegge G, de Jong M, Overvliet J, van Rossum E, Nieuwenhuijsen K. The potential of using hair cortisol to measure chronic stress in occupational healthcare; a scoping review. J Occup Health [Internet]. el 10 de enero de 2021;63(1). Disponible en: https://doi.org/10.1002/1348-9585.12189
11. James K, Stromin J, Steenkamp N, Combrinck M. Understanding the relationships between physiological and psychosocial stress, cortisol and cognition. Front Endocrinol [Internet]. el 6 de marzo de 2023;14. Disponible en: https://doi.org/10.3389/fendo.2023.1085950
12. Dreer B. Positive Psychological Interventions for Teachers: a Randomised Placebo-Controlled Field Experiment Investigating the Effects of Workplace-Related Positive Activities. Int J Appl Posit Psychol [Internet]. el 12 de abril de 2020;5(1–2):77–97. Disponible en: https://doi.org/10.1007/s41042-020-00027-7
13. Agyapong B, Brett P, Burback L, Agyapong V, Wei Y. Interventions to Reduce Stress and Burnout among Teachers: A Scoping Review. Int J Environ Res Public Health [Internet]. el 24 de abril de 2023;20(9):5625. Disponible en: https://doi.org/10.3390/ijerph20095625
14. Knezevic E, Nenic K, Milanovic V, Knezevic N. The Role of Cortisol in Chronic Stress, Neurodegenerative Diseases, and Psychological Disorders. Cells [Internet]. el 29 de noviembre de 2023;12(23):2726. Disponible en: https://doi.org/10.3390/cells12232726
15. von Suchodoletz A, Rojas NM, Nadyukova I, Larsen R, Uka F. Exploring Diurnal Cortisol Rhythms of Kindergarten Teachers in Kosovo and Ukraine. Am J Community Psychol [Internet]. el 17 de junio de 2019;63(3–4):286–97. Disponible en: https://doi.org/10.1002/ajcp.12308
16. Wettstein A, Kühne F, Tschacher W, La Marca R. Ambulatory Assessment of Psychological and Physiological Stress on Workdays and Free Days Among Teachers. A Preliminary Study. Front Neurosci [Internet]. el 14 de febrero de 2020;14. Disponible en: https://doi.org/10.3389/fnins.2020.00112
17. Hepburn S, Carroll A, McCuaig L. A Complementary Intervention to Promote Wellbeing and Stress Management for Early Career Teachers. Int J Environ Res Public Health [Internet]. el 11 de junio de 2021;18(12):6320. Disponible en: https://doi.org/10.3390/ijerph18126320
18. Taylor S, Roberts A, Zarrett N. A brief mindfulness-based intervention (bMBI) to reduce teacher stress and burnout. Teach Teach Educ [Internet]. abril de 2021;100:103284. Disponible en: https://doi.org/10.1016/j.tate.2021.103284
19. Rodríguez R, Carmona M, García S, Díaz B, Thuissard I. Stress, subjective wellbeing and self-knowledge in higher education teachers: A pilot study through bodyfulness approaches. PLoS One [Internet]. el 15 de diciembre de 2022;17(12):e0278372. Disponible en: https://doi.org/10.1371/journal.pone.0278372
20. Schneider S, Wettstein A, Tschacher W, Torchetti L, Jenni G, Kühne F, et al. Longitudinal Associations Between Core Self-Evaluation, Vital Exhaustion and Hair Cortisol in Teachers and the Mediating Effects of Resignation Tendency. Front Psychol [Internet]. el 7 de julio de 2022;13. Disponible en: https://doi.org/10.3389/fpsyg.2022.907056
21. Thephilah C, Aruna S, Vijayaragahavan R. The effects of stress reduction strategies of breathing technique relaxation programme and positive psychology on biochemical variable response among schoolteachers. Biosci J [Internet]. el 9 de septiembre de 2022;38:e38068. Disponible en: https://doi.org/10.14393/BJ-v38n0a2022-54176
22. Wagner D, Pearcey S. Perceived stress and salivary biomarkers in educators: comparison among three stress reduction activities. Health Psychol Behav Med [Internet]. el 31 de diciembre de 2022;10(1):617–31. Disponible en: https://doi.org/10.1080/21642850.2022.2102016
23. Wettstein A, Schneider S, Jenni G, Holtforth M, Tschacher W, La Marca R. Association between workaholism, vital exhaustion, and hair cortisol concentrations among teachers: A longitudinal study testing the moderation effect of neuroticism. Front Psychol [Internet]. el 15 de diciembre de 2022;13. Disponible en: https://doi.org/10.3389/fpsyg.2022.1046573
24. Houmri N, Adamou A, Bairi A, Khezzani B, Gharghout A, Hamad B, et al. Hormonal and lipid disruption because of stress among teachers of The University of El-Oued, Algeria. Arch Balk Med Union [Internet]. el 18 de diciembre de 2023;58(4):319–25. Disponible en: https://doi.org/10.31688/ABMU.2023.58.4.02
25. Jõgi A, Aulén A, Pakarinen E, Lerkkanen M. Teachers’ daily physiological stress and positive affect in relation to their general occupational well‐being. Br J Educ Psychol [Internet]. el 6 de marzo de 2023;93(1):368–85. Disponible en: https://doi.org/10.1111/bjep.12561
26. La Marca R, Schneider S, Jenni G, Kühne F, Holtforth M grosse, Wettstein A. Associations between stress, resources, and hair cortisol concentration in teachers. Psychoneuroendocrinology [Internet]. agosto de 2023;154:106291. Disponible en: https://doi.org/10.1016/j.psyneuen.2023.106291
27. Schneider S, grosse Holtforth M, Wettstein A, Jenni G, Kühne F, Tschacher W, et al. The diurnal course of salivary cortisol and alpha-amylase on workdays and leisure days in teachers and the role of social isolation and neuroticism. PLoS One [Internet]. el 31 de mayo de 2023;18(5):e0286475. Disponible en: https://doi.org/10.1371/journal.pone.0286475
28. Wettstein A, Jenni G, Schneider S, Kühne F, grosse Holtforth M, La Marca R. Teachers’ perception of aggressive student behavior through the lens of chronic worry and resignation, and its association with psychophysiological stress: An observational study. Soc Psychol Educ [Internet]. el 6 de agosto de 2023;26(4):1181–200. Disponible en: https://doi.org/10.1007/s11218-023-09782-2
29. Harmsen R, Helms M, Maulana R, van Veen K, van Veldhoven M. Measuring general and specific stress causes and stress responses among beginning secondary school teachers in the Netherlands. Int J Res Method Educ [Internet]. el 20 de enero de 2019;42(1):91–108. Disponible en: https://doi.org/10.1080/1743727X.2018.1462313
30. McGee A, Scott S, Manczak E, Watamura S. Associations between the Psychophysiological Impacts of Teacher Occupational Stress and Stress Biomarkers: A Systematic Review. PNI [Internet]. 2023;4:1–16. Disponible en: doi:10.32371/pnij/246145
31. Hawrot A, Koniewski M. Factor Structure of the Maslach Burnout Inventory–Educators Survey in a Polish-Speaking Sample. JCA [Internet]. el 19 de agosto de 2018;26(3):515–30. Disponible en: https://doi.org/10.1177/1069072717714545
32. Lazarou E, Exarchos T. Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices. AIMS Neurosci [Internet]. 2024;11(2):76–102. Disponible en: https://doi.org/10.3934/neuroscience.2024006
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Milena Roxana Muñoz Ureta, Jazmin Beatriz Anzules Guerra

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
https://orcid.org/0000-0003-4674-1878




