Humanities
Skip to main content Skip to main navigation menu Skip to site footer
  • Register
  • Login
  • Menu
  • Home
  • Current
  • Archives
  • Announcements
  • About
    • About the Journal
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  • Register
  • Login

Journal of Education, Health and Sport

Resting heart rate variability in professors: Impact of psychological stress, obesity and blood pressure
  • Home
  • /
  • Resting heart rate variability in professors: Impact of psychological stress, obesity and blood pressure
  1. Home /
  2. Archives /
  3. Vol. 11 No. 5 (2021) /
  4. Research Articles

Resting heart rate variability in professors: Impact of psychological stress, obesity and blood pressure

Authors

  • Nacha Samadi Andrade Rosario Federal University of Ouro Preto https://orcid.org/0000-0001-9015-5476
  • Perciliany Martins de Souza Federal University of Ouro Preto https://orcid.org/0000-0002-4207-9920
  • Poliana Elisa Assunção Federal University of Ouro Preto
  • Fernando Luiz Pereira de Oliveira Federal University of Ouro Preto https://orcid.org/0000-0001-6513-3339
  • Eduardo Bearzoti Federal University of Ouro Preto https://orcid.org/0000-0002-8313-0577
  • Kelerson Mauro de Castro Pinto Federal University of Ouro Preto https://orcid.org/0000-0002-0014-9193
  • Gabriela Guerra Leal Souza Federal University of Ouro Preto https://orcid.org/0000-0001-8068-864X

DOI:

https://doi.org/10.12775/JEHS.2021.11.05.001

Keywords

heart rate variability, stress, blood pressure, obesity, anthropometry, professors,

Abstract

 

Objective: University professors are prone to show physical and psychological diseases related to excessive workload. Such overwork can affect the functioning of the autonomic nervous system, leading to a decrease in heart rate variability (HRV). HRV reflects the continuous fluctuation of the R-R intervals due to sympathetic and parasympathetic actions in the heart and is associated with good physical and psychological health. We aimed to evaluate whether psychological stress and anthropometric and clinical variables influence HRV at rest in professors. Methods: University professors of both sexes (N=65; 41 men) participated. We collected Anthropometry and Clinical variables, Psychological stress, and HRV parasympathetic parameters (square root mean squares of the differences between RR intervals: RMSSD, number of successive differences between RR intervals, which are > 50 ms: NN50 and high frequency – HF). Results:  Four principal components (PCs) represented 68.29% of the data total variation. Principal component 1 (PC1) was called the good cardiac regulation component. PC2 was called the component of reduced stress symptoms. PC3 was named favorable working conditions component. PC4 was denominated component of labor and physiological deregulation. Each HRV parameter was associated with each PC through the use of regression models. The RMSSD was positively associated with PC2. The NN50 was positively associated with PC2 and PC3. HF was positively associated with PC3 and PC4. Conclusions: HRV parasympathetic parameters, which represent good physical and mental health, are positively associated with the components of reduced stress symptoms, favorable working conditions, and labor and physiological deregulation.





Objetivo: Professores universitários são propensos a apresentar doenças físicas e psicológicas relacionadas à carga horária excessiva. Esse excesso de trabalho pode afetar o funcionamento do sistema nervoso autônomo, levando a uma diminuição da variabilidade da frequência cardíaca (VFC). A VFC reflete a flutuação contínua dos intervalos RR devido às ações simpáticas e parassimpáticas no coração e está associada a uma boa saúde física e psicológica. Objetivamos avaliar se o estresse psicológico e as variáveis antropométricas e clínicas influenciam a VFC em repouso em professores. Métodos:Participaram professores universitários de ambos os sexos (N = 65; 41 homens). Coletamos variáveis antropométricas e clínicas, estresse psicológico e parâmetros parassimpáticos da VFC (raiz quadrada da média dos quadrados das diferenças entre os intervalos RR: RMSSD, número de diferenças sucessivas entre os intervalos RR, que são> 50 ms: NN50 e alta frequência - HF). Resultados:  Quatro componentes principais (PCs) representaram 68,29% da variação total dos dados. O componente principal 1 (PC1) foi denominado componente de boa regulação cardíaca. PC2 foi chamado de componente de redução dos sintomas de estresse. O PC3 foi denominado componente de condições favoráveis de trabalho. PC4 foi denominado componente do parto e desregulamentação fisiológica. Cada parâmetro de VFC foi associado a cada PC por meio do uso de modelos de regressão. O RMSSD foi positivamente associado ao PC2. O NN50 foi associado positivamente com PC2 e PC3. HF associou-se positivamente com PC3 e PC4. Conclusões: Os parâmetros parassimpáticos da VFC, que representam boa saúde física e mental, estão positivamente associados aos componentes de redução dos sintomas de estresse, condições favoráveis de trabalho e desregulamentação fisiológica e laboral.

Author Biographies

Nacha Samadi Andrade Rosario, Federal University of Ouro Preto

Departamento de Ciências Biológicas

Perciliany Martins de Souza, Federal University of Ouro Preto

Departamento de Ciências Biológicas

Poliana Elisa Assunção, Federal University of Ouro Preto

Departamento de Ciências Biológicas

Fernando Luiz Pereira de Oliveira, Federal University of Ouro Preto

Departamento de Estatística

Eduardo Bearzoti, Federal University of Ouro Preto

Departamento de Estatística

Kelerson Mauro de Castro Pinto, Federal University of Ouro Preto

Escola de Educação Física

Gabriela Guerra Leal Souza, Federal University of Ouro Preto

Departamento de Ciências Biológicas

References

Alves, M. G. de M., Chor, D., Faerstein, E., Lopes, C. de S., & Werneck, G. L. (2004). Versão resumida da “job stress scale”: adaptação para o português. Revista de Saúde Pública, 38(2), 164–171. DOI:10.1590/s0034-89102004000200003

Bale, T. L., & Epperson, C. N. (2015). Sex differences and stress across the lifespan. Nature Neuroscience, 18(10), 1413–1420. DOI:10.1038/nn.4112

Balzarotti, S., Biassoni, F., Colombo, B., & Ciceri, M. R. (2017). Cardiac vagal control as a marker of emotion regulation in healthy adults: A review. Biological Psychology, 130, 54–66. DOI:10.1016/j.biopsycho.2017.10.008

Beauchaine, T. P., & Thayer, J. F. (2015). Heart rate variability as a transdiagnostic biomarker of psychopathology. International Journal of Psychophysiology, 98(2), 338–350. DOI:10.1016/j.ijpsycho.2015.08.004

Benichou, T., Pereira, B., Mermillod, M., Tauveron, I., Pfabigan, D., Maqdasy, S., & Dutheil, F. (2018). Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis. PLOS ONE, 13(4), 1–19. DOI:10.1371/journal.pone.0195166

Braga, M. M., & Paternez, A. C. A. C. (2011). Avaliação do consumo alimentar de professores de uma universidade particular da cidade de São Paulo (SP). Rev. Simbio-Logias, 4(6):84-97. https://www.ibb.unesp.br/Home/ensino/departamentos/educacao/revistasimbio-logias/avaliacao-do-consumo-alimentar-de-professores-de-uma-universidade-particular-da-cidade-de-sao-pau.pdf

Carmo, K. L. F., Fleck, C. F., Santos, J. U. L. (2015). Docente em universidade pública ou privada? Desafios, oportunidades e diferenças. RAIMED - Revista de Administração IMED, 5(2): 166-180. DOI: 10.18256/2237-7956/raimed.v5n2p166-180

Chatkoff, D. K., Maier, K. J., & Klein, C. (2010). Nonlinear associations between chronic stress and cardiovascular reactivity and recovery. International Journal of Psychophysiology, 77(2), 150–156. DOI:10.1016/j.ijpsycho.2010.05.008

Draper, N. R., & Smith, H. (2014). Applied regression analysis. John Wiley & Sons.

Durnin, J. V. G. A., & Womersley, J. (1974). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 Years. British Journal of Nutrition, 32(01), 77–97. DOI:10.1079/bjn19740060

Ernst, G. (2017). Hidden Signals—The History and Methods of Heart Rate Variability. Front Public Health, 5: 265. DOI: 10.3389/fpubh.2017.00265

Fang, H., Berg, E., Cheng, X. & Shen, W. How to best assess abdominal obesity. Curr. Opin. Clin. Nutr. Metab. Care 21, 360–365 (2018).

Fidalgo, N. L. R. (2010) A espetacularização do trabalho docente universitário: dilemas entre produzir e viver e viver para produzir. Tese de Doutorado, Programa de PósGraduação em Educação da Universidade Federal de Minas Gerais. 200p. Belo Horizonte.

Frenzel, A. C., Pekrun, R., Goetz, T., Daniels, L. M., Durksen, T. L., Becker-Kurz, B., & Klassen, R. M. (2016). Measuring Teachers’ enjoyment, anger, and anxiety: The Teacher Emotions Scales (TES). Contemporary Educational Psychology, 46, 148–163. doi:10.1016/j.cedpsych.2016.05.003

Guedes, D. P., & Guedes, J. E. R. P. (1998). Controle do peso corporal: composição corporal, atividade física e nutrição. Londrina: Midiograf.

Hajare, R. (2018). The True Principal Health and Investigation of The High Burnout Stages Experienced by Professors Working in Pharmacy Institutions Pune University and Related Factors: an Important Study. Medical Research and Clinical Case Reports 1(2): 66-72.

Hayano, J., & Yasuma, F. (2003). Hypothesis: respiratory sinus arrhythmia is an intrinsic resting function of cardiopulmonary system. Cardiovascular Research, 58 (1), 1-9. DOI: 10.1016 / s0008-6363 (02) 00851-9

Hu, L., Huang, X., You, C., Li, J., Hong, K., Li, P., Cheng, X. Wu, Y. Wu, Q. Wang, Z. Gao, R. Bao, H. (2017). Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLOS ONE, 12 (9), e0183934. doi: 10.1371 / journal.pone.0183934

Huang, C.-J., Webb, H. E., Zourdos, M. C., & Acevedo, E. O. (2013). Cardiovascular reactivity, stress, and physical activity. Frontiers in Physiology, 4. DOI:10.3389/fphys.2013.00314

International Diabetes Federation (IDF). (2006). The IDF consensus worldwide definition of the metabolic syndrome. http://www.idf.org/webdata/docs/MetSyndrome_ FINAL.pdf.

Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) (2004). Estatísticas dos professores no Brasil, 2. ed. – (46). Brasília. http://portal.inep.gov.br/documents/186968/484154/Estat%C3%ADsticas+dos+professores+no+Brasil/2cfab3f2-3221-4494-9f7e-63ae08c154e1?version=1.1

Järvelin-Pasanen, S., Sinikallio, S., & Tarvainen, M. P. (2018). Heart rate variability and occupational stress—systematic review. Industrial Health, 56(6): 500–511. DOI:10.2486/indhealth.2017-0190

Kanter, R., & Caballero, B. (2012). Global gender disparities in obesity: a review. Advances in Nutrition, 3(4), 491–498. DOI:10.3945/an.112.002063

Kim, H. G., Cheon, E. J., Bai, D. S., Lee, Y. H., & Koo, B. H. (2018). Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investigation, 15(3), 235–245. DOI:10.30773/pi.2017.08.17

koenig, J., & Thayer, J. F. (2016). Sex differences in healthy human heart rate variability: A meta-analysis. Neuroscience & Biobehavioral Reviews, 64, 288–310. DOI:10.1016/j.neubiorev.2016.03.007

Kop, W. J., Stein, P. K., Tracy, R. P., Barzilay, J. I., Schulz, R., & Gottdiener, J. S. (2010). Autonomic nervous system dysfunction and inflammation contribute to the increased cardiovascular mortality risk associated with depression. Psychosomatic Medicine, 72(7), 626–635. DOI:10.1097/psy.0b013e3181eadd2b

Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research – recommendations for experiment planning, data analysis, and data reporting. Frontiers Psychology, 8: 213. DOI: 10.3389/fpsyg.2017.00213

Lipp, M. E. N. (2000). Manual do inventário de sintomas de stress para adultos de Lipp (LSSI). São Paulo: Casa do Psicólogo.

Mancia G, Grassi G. The autonomic nervous system and hypertension. Circ Res. 2014;114:1804–1814. doi: 10.1161/CIRCRESAHA.114.302524

Reis, B. M. & Cecílio, S. (2014). Precarização, trabalho docente intensificado e saúde de professores universitários. Trabalho & Educação, 23(2), 109-128.

Mardia, K. V., Kent, J. T., & Bibby, J. M. (1979). Multivariate analysis. New York, NY: Academic Press.

Martins, A. P. B. (2018). A obesidade deve ser tratada como uma questão de saúde pública. Rev. adm. Empres, 58(3), 337-341. http://dx.doi.org/10.1590/s0034-759020180312.

Mayor, E. (2015). Gender roles and traits in stress and health. Frontiers in Psychology, 6:779. https://doi.org/10.3389/fpsyg.2015.00779

Monteze, N. M., Souza, B. B., Alves, H. J. de P., de Oliveira, F. L. P., de Oliveira, J. M., de Freitas, Neto, R. M. do N., Sales M. L., & Souza, G. G. L. (2015). Heart Rate Variability in Shift Workers: Responses to Orthostatism and Relationships with Anthropometry, Body Composition, and Blood Pressure. BioMed Research International, 2015, 1–8. DOI:10.1155/2015/329057

Moodithaya, S., & Avadhany, S. T. (2012). Gender Differences in Age-Related Changes in Cardiac Autonomic Nervous Function. Journal of Aging Research, 2012, 1–7. doi:10.1155/2012/679345

Moreira, O. C., de Oliveira, R. A. R., Neto, F. A. Amorim, W., Oliveira, C. E. P., Doimo, L. A., Amorim, P. R. dos S., Laterza, M. C., Monteiro, W. D., & Marins, J. C. B. (2011). Associação entre risco cardiovascular e hipertensão arterial em professores universitários. Revista Brasileira de Educação Física e Esporte. 25(3):397-406, https://www.researchgate.net/publication/303249527_Associacao_entre_risco_cardiovascular_e_hipertensao_arterial_em_professores_universitarios.

Oliveira, R. A. R. Moreira, O. C., Neto, F. A., Amorim, W., Costa, E. G., & Marins, J. C. B. (2011). Prevalence of overweight and obesity in professors of University Federal of Vicosa, 24(4):603–612. DOI: https://doi.org/10.1590/S0103-51502011000400003

Porges, S. W. (2007). The polyvagal perspective. Biological Psychology, 74(2), 116–143. DOI:10.1016/j.biopsycho.2006.06.009

Pulopulos, M. M., Vanderhasselt, M.-A., & de Raedt, R. (2018). Association between changes in heart rate variability during the anticipation of a stressful situation and the stress-induced cortisol response. Psychoneuroendocrinology, 94, 63–71. DOI:10.1016/j.psyneuen.2018.05.004

Quintana, D. S., & Heathers, J. A. J. (2014). Considerations in the assessment of heart rate variability in biobehavioral research. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.00805

R Core Team (2017). R: A language and environment for statistical computing.

https://www.R-project.org

Reckelhoff, J. F. (2018). Gender differences in hypertension. Current Opinion in Nephrology and Hypertension, 1. DOI:10.1097/mnh.0000000000000404

Rossi, R. C., Vanderlei, L. C. M., Gonçalves, A. C. C. R., Vanderlei, F. M., Bernardo, A. F. B., Yamada, K. M. H., da Silva, N. T., & de Abreu, L. C. (2015). Impact of obesity on autonomic modulation, heart rate and blood pressure in obese young people. Autonomic Neuroscience, 193, 138–141. DOI:10.1016/j.autneu.2015.07.424

Ruza, F. M., Silva, S. A. & Pádua, K. C. (2015). Ser professor universitário: identidades construídas entre aspectos de satisfação e insatisfação profissional. Linhas Críticas, 21(44), 179-198. https://periodicos.unb.br/index.php/linhascriticas/article/view/4514Sammito, S., Sammito, W., & Böckelmann, I. (2016). The circadian rhythm of heart rate variability. Biological Rhythm Research, 47(5), 717–730. DOI:10.1080/09291016.2016.1183887

Sanchez, H. M., Sanches, G. M., Barbosa, M. A., Guimarães, E. C., & Porto, C. C. (2019). Impact of health on quality of life and quality of working life of university teachers from different areas of knowledge. Ciênc. saúde coletiva, 24(11), 4111-4123. http://dx.doi.org/10.1590/1413-812320182411.28712017.

Santos, V. M., Pinto, D. S., Santana, G. M. S., Brito, L. G. A., & Pithon, K. R. (2018). Chronic non-communicable diseases: cardiovascular risk factors in university professors. O Mundo da Saúde, 42(3):551-568. DOI: 10.15343/0104-7809.20184203551568

Savoia, M. G. (1999). Escalas de eventos vitais e estratégias de enfrentamento (coping). Revista de Psiquiatria Clínica, 26(2):57-67. https://scholar.google.com/scholar_lookup?title=Escalas+de+eventos+vitais+e+de+estrat%C3%A9gias+de+enfrentamento+(coping)&author=Savoia+M.+G.&publication_year=1999&journal=Revista+de+Psiquiatria+Cl%C3%ADnica&volume=26&pages=57-67

Schutz, P. A. (2014). Inquiry on Teachers’ Emotion. Educational Psychologist, 49(1), 1–12. DOI:10.1080/00461520.2013.864955

Silva, S. S. B. E., Oliveira, S. F. S. B., & Pierin, A. M. G. (2016). O controle da hipertensão arterial em mulheres e homens: uma análise comparativa. Revista da Escola de Enfermagem da USP, 50(1): 50–58. DOI: http://dx.doi.org/10.1590/S0080-623420160000100007

Silveira, K. A., Enumo, S. R. F., Paula, K. M. P. de, & Batista, E. P. (2014). Estresse e enfrentamento em professores: uma análise da literatura. Educação Em Revista, 30(4), 15–36. DOI:10.1590/s0102-46982014000400002

Sociedade Brasileira De Cardiologia (SBC), Sociedade Brasileira de Hipertensão, and Sociedade Brasileira de Nefrologia. (2010). “VI Brazilian guidelines on hypertension”. Arquivos Brasileiros de Cardiologia, 95(1 Suppl):1-51. Erratum in: Arq Bras Cardiol. 2010;95(4):553. PMID: 21085756

Sociedade Brasileira de Cardiologia (SBC). (2016). “VII Brazilian guidelines on hypertension” Arquivos Brasileiros de Cardiologia, 107(3 suppl):1–83. https://doi.org/10.5935/abc.20160140

Task Force. (1996). Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Circulation, 93(5): 1043–1065.

Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009). Heart rate variability, prefrontal neural function, and cognitive performance: the neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of Behavioral Medicine, 37, 141-153. DOI:10.1007/s12160-009-9101-z

Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010). The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. International Journal of Cardiology, 141(2), 122–131. doi:10.1016/j.ijcard.2009.09.543

Theorell, T., & Karasek, R. A. (1996). Current issues relating to psychosocial job strain and cardiovascular disease research. Journal of Occupational Health Psychology, 1(1), 9–26. DOI:10.1037/1076-8998.1.1.9.

Vanderlei, F. M., Rossi, R. C., de Souza, N. M., de Sá, D. A, Gonçalves, T. M., Pastre, C. M., de Abreu, L. C., Valenti, V. E., & L. C. M Vanderlei. (2012). Heart rate variability in healthy adolescents at rest. Journal of Human Growth and Development; 22(2): 173-178. https://www.researchgate.net/publication/317462260

Verma, R., Balhara, Y. P. S. & Gupta, C. S. (2011). Gender differences in stress response: Role of developmental and biological determinants. Ind Psychiatry J., 20(1): 4–10, DOI: 10.4103 / 0972-6748.98407

Voss, A., Schroeder, R., Heitmann, A., Peters, A., & Perz, S. (2015). Short-Term Heart Rate Variability—Influence of Gender and Age in Healthy Subjects. PLOS ONE, 10(3), 1–33. DOI:10.1371/journal.pone.0118308

World Health Organization (WHO). (2000). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser., 894(1-12):1-253. https://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/

Yadav, R. L., Yadav, P. K., Yadav, L. K., Agrawal, K., Sah, S. K., & Islam, M. N. (2017). Association between obesity and heart rate variability indices: an intuition toward cardiac autonomic alteration – a risk of CVD. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 10, 57–64. DOI:10.2147/dmso.s123935

Yue, W., Yin, J., Chen, B., Zhang, X., Wang, G., Li, Chen, H. & Jia, R. (2014). Analysis of Heart Rate Variability in Masked Hypertension. Cell Biochemistry and Biophysics, 70(1), 201–204. DOI:10.1007/s12013-014-9882-y

Xhyheri, B., Manfrini, O., Mazzolini, M., Pizzi, C., & Bugiardini, R. (2012). Heart Rate Variability Today. Progress in Cardiovascular Diseases, 55(3), 321–331. DOI:10.1016/j.pcad.2012.09.001

Zibetti, M. L. T. & Pereira, S. R. (2010) Mulheres e professoras: repercussões da dupla jornada nas condições de vida e no trabalho docente . Educar em Revista, Curitiba, Brasil, n. especial 2, p. 259-276. Editora UFPR https://doi.org/10.1590/S0104-40602010000500016

Downloads

  • PDF

Published

2021-05-02

How to Cite

1.
ANDRADE ROSARIO, Nacha Samadi, DE SOUZA, Perciliany Martins, ASSUNÇÃO, Poliana Elisa, PEREIRA DE OLIVEIRA, Fernando Luiz, BEARZOTI, Eduardo, DE CASTRO PINTO, Kelerson Mauro and SOUZA, Gabriela Guerra Leal. Resting heart rate variability in professors: Impact of psychological stress, obesity and blood pressure. Journal of Education, Health and Sport. Online. 2 May 2021. Vol. 11, no. 5, pp. 11-25. [Accessed 29 June 2025]. DOI 10.12775/JEHS.2021.11.05.001.
  • ISO 690
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Issue

Vol. 11 No. 5 (2021)

Section

Research Articles

License

The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0

Stats

Number of views and downloads: 864
Number of citations: 0

Search

Search

Browse

  • Browse Author Index
  • Issue archive

User

User

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

Information

  • For Readers
  • For Authors
  • For Librarians

Newsletter

Subscribe Unsubscribe

Tags

Search using one of provided tags:

heart rate variability, stress, blood pressure, obesity, anthropometry, professors,
Up

Akademicka Platforma Czasopism

Najlepsze czasopisma naukowe i akademickie w jednym miejscu

apcz.umk.pl

Partners

  • Akademia Ignatianum w Krakowie
  • Akademickie Towarzystwo Andragogiczne
  • Fundacja Copernicus na rzecz Rozwoju Badań Naukowych
  • Instytut Historii im. Tadeusza Manteuffla Polskiej Akademii Nauk
  • Instytut Kultur Śródziemnomorskich i Orientalnych PAN
  • Instytut Tomistyczny
  • Karmelitański Instytut Duchowości w Krakowie
  • Ministerstwo Kultury i Dziedzictwa Narodowego
  • Państwowa Akademia Nauk Stosowanych w Krośnie
  • Państwowa Akademia Nauk Stosowanych we Włocławku
  • Państwowa Wyższa Szkoła Zawodowa im. Stanisława Pigonia w Krośnie
  • Polska Fundacja Przemysłu Kosmicznego
  • Polskie Towarzystwo Ekonomiczne
  • Polskie Towarzystwo Ludoznawcze
  • Towarzystwo Miłośników Torunia
  • Towarzystwo Naukowe w Toruniu
  • Uniwersytet im. Adama Mickiewicza w Poznaniu
  • Uniwersytet Komisji Edukacji Narodowej w Krakowie
  • Uniwersytet Mikołaja Kopernika
  • Uniwersytet w Białymstoku
  • Uniwersytet Warszawski
  • Wojewódzka Biblioteka Publiczna - Książnica Kopernikańska
  • Wyższe Seminarium Duchowne w Pelplinie / Wydawnictwo Diecezjalne „Bernardinum" w Pelplinie

© 2021- Nicolaus Copernicus University Accessibility statement Shop