The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms. Independent t-test, Pearson’s correlation analysis, and structural equation modeling (SEM) were utilized during the analysis procedure. Statistical analysis revealed gender differences in student burnout, with girls scoring higher on “inadequacy” and “exhaustion” scales. Correlation analysis showed resources to be linked positively with burnout (0.24 < r < 0.57), while demands were negatively associated (− 0.15 < r < − 0.65). SEM results demonstrated school demands and student burnout to be positively related, while resources and symptoms were negatively associated. The results supported the usefulness of the school demand–resource framework in the exploration of student burnout. The findings showed demands and resources indicate two opposite processes in the development of burnout. We discuss the findings in the context of possible intervention methods which should be further investigated in future research.
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Aelterman, N., Vansteenkiste, M., & Haerens, L. (2019). Correlates of students’ internalization and defiance of classroom rules: A self-determination theory perspective. British Journal of Educational Psychology, 89(1), 22–40. https://doi.org/10.1111/bjep.12213
Akkermans, J., Paradniké, K., Van der Heijden, B. I. J. M., & De Vos, A. (2018). The best of both worlds: The role of career adaptability and career competencies in students’ well-being and performance. Frontiers in Psychology, 9, 1678. https://doi.org/10.3389/fpsyg.2018.01678
Awa, W. L., Plaumann, M., & Walter, U. (2010). Burnout prevention: A review of intervention programs. Patient Education and Counseling, 78(2), 184–190. https://doi.org/10.1016/j.pec.2009.04.008
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bakker, A. B., Demerouti, E., de Boer, E., & Schaufeli, W. B. (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62(2), 341–356. https://doi.org/10.1016/S0001-8791(02)00030-1
Bakker, A. B., Hakanen, J. J., Demerouti, E., & Xanthopoulou, D. (2007). Job resources boost work engagement, particularly when job demands are high. Journal of Educational Psychology, 99(2), 274–284. https://doi.org/10.1037/0022-06126.96.36.1994
Bertacchini, F., Bilotta, E., Pantano, P., & Tavernise, A. (2012). Motivating the learning of science topics in secondary school: A constructivist edutainment setting for studying Chaos. Computers & Education, 59(4), 1377–1386. https://doi.org/10.1016/j.compedu.2012.05.001
Bong, M. (1996). Problems in academic motivation research and advantages and disadvantages of their solutions. Contemporary Educational Psychology, 21(2), 149–165. https://doi.org/10.1006/ceps.1996.0013
Brouwers, A., Tomic, W., & Boluijt, H. (2011). Job demands, job control, social support and self-efficacy beliefs as determinants of burnout among physical education teachers. Europe’s Journal of Psychology, 7(1), 17–39. https://doi.org/10.5964/ejop.v7i1.103
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Bücker, S., Nuraydin, S., Simonsmeier, B. A., Schneider, M., & Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83–94. https://doi.org/10.1016/j.jrp.2018.02.007
Caroli, M. E. D., & Sagone, E. (2012). Professional self representation and risk of burnout in school teachers. Procedia - Social and Behavioral Sciences, 46, 5509–5515. https://doi.org/10.1016/j.sbspro.2012.06.466
Carsley, D., & Heath, N. L. (2019). Evaluating the effectiveness of a mindfulness coloring activity for test anxiety in children. The Journal of Educational Research, 112(2), 143–151. https://doi.org/10.1080/00220671.2018.1448749
Chang, E., Lee, A., Byeon, E., Seong, H., & Lee, S. M. (2016). The mediating effect of motivational types in the relationship between perfectionism and academic burnout. Personality and Individual Differences, 89, 202–210. https://doi.org/10.1016/j.paid.2015.10.010
Cilliers, J. R., Mostert, K., & Nel, J. A. (2017). Study demands, study resources and the role of personality characteristics in predicting the engagement of fist-year university students. South African Journal of Higher Education. https://doi.org/10.20853/32-1-1575
Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
Collie, R. J., Martin, A. J., Malmberg, L.-E., Hall, J., & Ginns, P. (2015). Academic buoyancy, student’s achievement, and the linking role of control: A cross-lagged analysis of high school students. British Journal of Educational Psychology, 85(1), 113–130. https://doi.org/10.1111/bjep.12066
D’Aurora, D. L., & Fimian, M. J. (1988). Dimensions of life and school stress experienced by young people. Psychology in the Schools, 25(1), 44–53.
Dahlin, M. E., & Runeson, B. (2007). Burnout and psychiatric morbidity among medical students entering clinical training: A three year prospective questionnaire and interview-based study. BMC Medical Education, 7(1), 6. https://doi.org/10.1186/1472-6920-7-6
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
Dobozy, G. (2015). A diákok mindennapjai, a tanulói munkaterhek vizsgálata az érettségi előtti és utáni 2–2 évfolyamon. Opus Et Educatio, 2(3), 123–134.
Dweck, C. S., & Leggett, E. L. (1988). A social^cognitive approach to motivation and personality. Psychological Review, 95(2), 256–273. https://doi.org/10.1037/0033-295X.95.2.256
Dyrbye, L. N., Thomas, M. R., Massie, F. S., Power, D. V., Eacker, A., Harper, W., Durning, S., Moutier, C., Szydlo, D. W., Novotny, P. J., Sloan, J. A., & Shanafelt, T. D. (2008). Burnout and suicidal ideation among U.S. medical students. Annals of Internal Medicine, 149(5), 334. https://doi.org/10.7326/0003-4819-149-5-200809020-00008
Educational Authority. (2019). Reports on students at risk of dropout based on data from the pedagogical support system. https://www.kir.hu/kir2esl/Kimutatas/VeszelyeztetettTanulokMegoszlasa
Ergene, T. (2003). Effective interventions on test anxiety reduction: A meta-analysis. School Psychology International, 24(3), 313–328. https://doi.org/10.1177/01430343030243004
Evers, W. J. G., & Tomic, W. (2003). Students’ perceptions of the incidence of burn-out among their teachers. Research in Education, 69(1), 1–15. https://doi.org/10.7227/RIE.69.1
Fernet, C., Guay, F., Senécal, C., & Austin, S. (2012). Predicting intraindividual changes in teacher burnout: The role of perceived school environment and motivational factors. Teaching and Teacher Education, 28(4), 514–525. https://doi.org/10.1016/j.tate.2011.11.013
Fimian, M. J., & Cross, A. H. (1986). Stress and burnout amoung preadolescent and early adolescent gifted students: A preliminary investigation. The Journal of Early Adolescence, 6(3), 247–267. https://doi.org/10.1177/0272431686063004
Fiorilli, C., De Stasio, S., Di Chiacchio, C., Pepe, A., & Salmela-Aro, K. (2017). School burnout, depressive symptoms and engagement: Their combined effect on student achievement. International Journal of Educational Research, 84, 1–12. https://doi.org/10.1016/j.ijer.2017.04.001
Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165. https://doi.org/10.1111/j.1540-4560.1974.tb00706.x
Friedman, I. A. (1995). Student behavior patterns contributing to teacher burnout. The Journal of Educational Research, 88(5), 281–289. https://doi.org/10.1080/00220671.1995.9941312
Gerber, M., Feldmeth, A. K., Lang, C., Brand, S., Elliot, C., Holsboer-Trachsler, E., & Pühse, U. (2015). The relationship between mental toughness, stress, and burnout among adolescents: A longitudinal study with swiss vocational students. Psychological Reports, 117(3), 703–723. https://doi.org/10.2466/14.02.PR0.117c29z6
Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505
Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006). Burnout and work engagement among teachers. Journal of School Psychology, 43(6), 495–513. https://doi.org/10.1016/j.jsp.2005.11.001
Harmsen, R., Helms-Lorenz, M., Maulana, R., & Veen, K. (2019). The longitudinal effects of induction on beginning teachers’ stress. British Journal of Educational Psychology, 89(2), 259–287. https://doi.org/10.1111/bjep.12238
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487
Herrmann, J., Koeppen, K., & Kessels, U. (2019). Do girls take school too seriously? Investigating gender differences in school burnout from a self-worth perspective. Learning and Individual Differences, 69, 150–161. https://doi.org/10.1016/j.lindif.2018.11.011
Hogan, M., Parker, J., Wiener, J., Watters, C., Wood, L., & Oke, A. (2010). Academic success in adolescence: Relationships among verbal IQ, social support and emotional intelligence. Australian Journal of Psychology, 62(1), 30–41. https://doi.org/10.1080/00049530903312881
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hungarian Institute for Educational Research and Development. (2019). Curriculum plans for 9–12 grades of secondary schools. http://kerettanterv.ofi.hu/06_melleklet_9-12_szki/index_szakkozep.html
Inchley, J., Currie, D., Young, T., Samdal, O., Torsheim, T., Augustson, L., Mathison, F., Aleman-Diaz, A., Molcho, M., Weber, M., & Barnekow, V. (2016). Growing up unequal: Gender and socioeconomic differences in young people’s health and well-being. Health Behaviour in School-aged Children (HBSC) study: International report from the 2013/2014 survey. (Health Policy for Children and Adolescents, No. 7). WHO Regional Office for Europe. http://www.euro.who.int/en/publications/abstracts/growing-up-unequal.-hbsc-2016-study-20132014-survey
Isoard-Gautheur, S., Trouilloud, D., Gustafsson, H., & Guillet-Descas, E. (2016). Associations between the perceived quality of the coach–athlete relationship and athlete burnout: An examination of the mediating role of achievement goals. Psychology of Sport and Exercise, 22, 210–217. https://doi.org/10.1016/j.psychsport.2015.08.003
Jagodics, B., & Szabó, É. (2014). Job demands versus resources: Workplace factors related to teacher burnout. Practice and Theory in Systems of Education, 9(4), 377–390.
Jagodics, B., & Szabó, É. (2022). Student burnout in higher education: A demand-resource model approach. Trends in Psychology. https://doi.org/10.1007/s43076-021-00137-4
Jagodics, B., Nagy, K., Szénási, S., Varga, R., & Szabó, É. (2020). Az iskolai leterheltség és kiégés vizsgálata a Követelmény-Erőforrás Modell segítségével magyar általános iskolások körében. Alkalmazott Pszichológia, 20(1), 57–81. https://doi.org/10.17627/ALKPSZICH.2020.1.57
Jagodics, B., Kóródi, K., & Szabó, É. (2021). A Diák Kiégés Kérdőív szerkezetének vizsgálata magyar mintán. Magyar Pszichológiai Szemle, 76(1), 1–22. https://doi.org/10.1556/0016.2021.00020
Jarvin, L. (2015). Edutainment, games, and the future of education in a digital world. New Directions for Child and Adolescent Development, 2015(147), 33–40. https://doi.org/10.1002/cad.20082
JASP Team. (2022). JASP (Version 0.16.01).
Karasek, R. A. (1979). Job demand, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24, 285–309.
Kasalak, G. (2019). The relations between student cynicism and students’ life satisfaction. International Journal of Contemporary Educational Research. https://doi.org/10.33200/ijcer.586635e
Kim, H.-Y. (2013). Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52. https://doi.org/10.5395/rde.2013.38.1.52
Kiuru, N., Aunola, K., Nurmi, J. E., Leskinen, E., & Salmela-Aro, K. (2008). Peer group influence and selection in adolescents’ school burnout: A longitudinal study. Merrill-Palmer Quarterly, 54(1), 23–55. https://doi.org/10.1353/mpq.2008.0008
Klingbeil, D. A., Renshaw, T. L., Willenbrink, J. B., Copek, R. A., Chan, K. T., Haddock, A., Yassine, J., & Clifton, J. (2017). Mindfulness-based interventions with youth: A comprehensive meta-analysis of group-design studies. Journal of School Psychology, 63, 77–103. https://doi.org/10.1016/j.jsp.2017.03.006
Klusmann, U., Richter, D., & Lüdtke, O. (2016). Teachers’ emotional exhaustion is negatively related to students’ achievement: Evidence from a large-scale assessment study. Journal of Educational Psychology, 108(8), 1193–1203. https://doi.org/10.1037/edu0000125
Koçak, L., & Seçer, I. (2018). Investigation of the relationship between school burnout, depression and anxiety among high school students. Ukurova University Faculty of Education Journal, 47(2), 601–622.
Krijgsman, C., Mainhard, T., van Tartwijk, J., Borghouts, L., Vansteenkiste, M., Aelterman, N., & Haerens, L. (2019). Where to go and how to get there: Goal clarification, process feedback and students’ need satisfaction and frustration from lesson to lesson. Learning and Instruction, 61, 1–11. https://doi.org/10.1016/j.learninstruc.2018.12.005
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2013.00863
Langseth-Eide, B. (2019). It’s been a hard day’s night and I’ve been working like a dog: Workaholism and work engagement in the JD-R model. Frontiers in Psychology, 10, 1444. https://doi.org/10.3389/fpsyg.2019.01444
Lawrence, J. A., Davis, B. A., Corbette, T., Hill, E. V., Williams, D. R., & Reede, J. Y. (2022). Racial/ethnic differences in burnout: A systematic review. Journal of Racial and Ethnic Health Disparities, 9(1), 257–269. https://doi.org/10.1007/s40615-020-00950-0
Leiter, M., & Schaufeli, W. B. (1996). Consistency of the burnout construct across occupations. Anxiety, Stress and Coping, 9, 229–243.
Lesener, T., Pleiss, L. S., Gusy, B., & Wolter, C. (2020). The study demands-resources framework: An empirical introduction. International Journal of Environmental Research and Public Health, 17(14), 5183. https://doi.org/10.3390/ijerph17145183
Lietaert, S., Roorda, D., Laevers, F., Verschueren, K., & De Fraine, B. (2015). The gender gap in student engagement: The role of teachers’ autonomy support, structure, and involvement. British Journal of Educational Psychology, 85(4), 498–518. https://doi.org/10.1111/bjep.12095
Martin, A. J., & Collie, R. J. (2019). Teacher–student relationships and students’ engagement in high school: Does the number of negative and positive relationships with teachers matter? Journal of Educational Psychology, 111(5), 861–876. https://doi.org/10.1037/edu0000317
Maslach, C. (1982). Burnout: The cost of caring. Prentice-Hall.
Maslach, C., & Goldberg, J. (1998). Prevention of burnout: New perspectives. Applied and Preventive Psychology, 7(1), 63–74. https://doi.org/10.1016/S0962-1849(98)80022-X
Maslach, C., & Jackson, S. E. (1986). Maslach burnout inventory manual (2nd ed.). Consulting Psychologists Press.
Mayer, L., Kiss, E., Baji, I., Skultéti, D., & Vetró, Á. (2006). Depressziós tünetek és az életesemények összefüggésének vizsgálata általános iskolás populációban. Psychiatria Hungarica: A Magyar Pszichiátriai Társaság Tudományos Folyóirata, 21(3), 210–218.
Mokgele, K. R., & Rothmann, S. (2014). A structural model of student well-being. South African Journal of Psychology, 44(4), 514–527. https://doi.org/10.1177/0081246314541589
Newman, F. (1991). Student engagement in academic work: Expanding the perspective on secondary school effectiveness. In: Rethinking effective schools: Research and practice (pp. 58–76). Prentice-Hall.
Nicholson, S. (2015). A RECIPE for meaningful gamification. In T. Reiners & L. C. Wood (Eds.), Gamification in education and business (pp. 1–20). Springer.
Núñez, J. C., Suárez, N., Rosário, P., Vallejo, G., Valle, A., & Epstein, J. L. (2015). Relationships between perceived parental involvement in homework, student homework behaviors, and academic achievement: Differences among elementary, junior high, and high school students. Metacognition and Learning, 10(3), 375–406. https://doi.org/10.1007/s11409-015-9135-5
OECD. (2019). PISA 2018 results (Volume III): What school life means for students’ lives. OECD. https://doi.org/10.1787/acd78851-en
Ouweneel, E., Le Blanc, P. M., & Schaufeli, W. B. (2011). Flourishing students: A longitudinal study on positive emotions, personal resources, and study engagement. The Journal of Positive Psychology, 6(2), 142–153. https://doi.org/10.1080/17439760.2011.558847
Paksi, B., Veroszta, Zs., Schmidt, A., Magi, A., Vörös, A., Endrődi-Kovácsi, V., & Felvinczi, K. (2015). Pedagógus – Pálya – Motiváció – Egy kutatás eredményei. Oktatási Hivatal.
Palmgren, M., Pyhältö, K., Pietarinen, J., Sullanmaa, J., & Soini, T. (2021). Emotionally engaged or feeling anxious and cynical? School experiences and links to school achievement among Finland-Swedish general and special education students. Social Psychology of Education, 24(6), 1487–1509. https://doi.org/10.1007/s11218-021-09664-5
Phillips, B. N. (1978). School stress and anxiety: Theory, research, and intervention. Human Sciences Press.
Purvanova, R. K., & Muros, J. P. (2010). Gender differences in burnout: A meta-analysis. Journal of Vocational Behavior, 77(2), 168–185. https://doi.org/10.1016/j.jvb.2010.04.006
Putwain, D. W., & Aveyard, B. (2018). Is perceived control a critical factor in understanding the negative relationship between cognitive test anxiety and examination performance? School Psychology Quarterly, 33(1), 65–74. https://doi.org/10.1037/spq0000183
Reis, D., Hoppe, A., & Schröder, A. (2015). Reciprocal relationships between resources, work and study engagement, and mental health: Evidence for gain cycles. European Journal of Work and Organizational Psychology, 24(1), 59–75. https://doi.org/10.1080/1359432X.2013.834891
Ryan, S. V., von der Embse, N. P., Pendergast, L. L., Saeki, E., Segool, N., & Schwing, S. (2017). Leaving the teaching profession: The role of teacher stress and educational accountability policies on turnover intent. Teaching and Teacher Education, 66, 1–11. https://doi.org/10.1016/j.tate.2017.03.016
Salmela-Aro, K. (2015). School Burnout and Engagement: Lessons from a Longitudinal Study in Finland. In International Encyclopedia of the Social & Behavioral Sciences (pp. 59–64). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.26072-8
Salmela-Aro, K., & Tynkkynen, L. (2012). Gendered pathways in school burnout among adolescents. Journal of Adolescence, 35(4), 929–939. https://doi.org/10.1016/j.adolescence.2012.01.001
Salmela-Aro, K., & Upadyaya, K. (2014a). School burnout and engagement in the context of demands-resources model. British Journal of Educational Psychology, 84(1), 137–151. https://doi.org/10.1111/bjep.12018
Salmela-Aro, K., & Upadyaya, K. (2014b). Developmental trajectories of school burnout: Evidence from two longitudinal studies. Learning and Individual Differences, 36, 60–68. https://doi.org/10.1016/j.lindif.2014.10.016
Salmela-Aro, K., Kiuru, N., Leskinen, E., & Nurmi, J.-E. (2009). School burnout inventory (SBI): Reliability and validity. European Journal of Psychological Assessment, 25(1), 48–57. https://doi.org/10.1027/1015-57188.8.131.52
Salmela-Aro, K., Kiuru, N., Pietikäinen, M., & Jokela, J. (2008). Does school matter?: The role of school context in adolescents’ school-related burnout. European Psychologist, 13(1), 12–23. https://doi.org/10.1027/1016-9040.13.1.12
Schaufeli, W. B., Martínez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2002). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481. https://doi.org/10.1177/0022022102033005003
Schonfeld, I. S., & Bianchi, R. (2016). Burnout and depression: Two entities or one?: Burnout and depression. Journal of Clinical Psychology, 72(1), 22–37. https://doi.org/10.1002/jclp.22229
Schultz, E. W., & Heuchert, C. (1983). Child stress and the school experience. Human Sciences Press.
Schultz, E. W., Glass, R. M., & Kamholtz, J. D. (1987). School climate: Psychological health and well-being in school. Journal of School Health, 57(10), 432–436. https://doi.org/10.1111/j.1746-1561.1987.tb03189.x
Seibert, G. S., May, R. W., Fitzgerald, M. C., & Fincham, F. D. (2016). Understanding school burnout: Does self-control matter? Learning and Individual Differences, 49, 120–127. https://doi.org/10.1016/j.lindif.2016.05.024
Shahidi, S., Akbari, H., & Zargar, F. (2017). Effectiveness of mindfulness-based stress reduction on emotion regulation and test anxiety in female high school students. Journal of Education and Health Promotion, 6(1), 87. https://doi.org/10.4103/jehp.jehp_98_16
Shen, B., McCaughtry, N., Martin, J., Garn, A., Kulik, N., & Fahlman, M. (2015). The relationship between teacher burnout and student motivation. British Journal of Educational Psychology, 85(4), 519–532. https://doi.org/10.1111/bjep.12089
Skaalvik, E. M., & Skaalvik, S. (2010). Teacher self-efficacy and teacher burnout: A study of relations. Teaching and Teacher Education, 26(4), 1059–1069. https://doi.org/10.1016/j.tate.2009.11.001
Skaalvik, E. M., & Skaalvik, S. (2014). Teacher self-efficacy and perceived autonomy: Relations with teacher engagement, job satisfaction, and emotional exhaustion. Psychological Reports, 114(1), 68–77. https://doi.org/10.2466/14.02.PR0.114k14w0
American Psychological Association. (2014). Stress in America: Are teens adopting adults’ stress habits? http://www.apa.org/news/press/releases/stress/2013/stress-report.pdf
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
The Jamovi Project. (2022). Jamovi. https://www.jamovi.org
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. https://doi.org/10.1177/0013164492052004025
Wang, M.-T., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 304–340. https://doi.org/10.1016/j.dr.2013.08.001
Wang, M.-T., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47(3), 633–662. https://doi.org/10.3102/0002831209361209
Wei, X., Wang, R., & MacDonald, E. (2015). Exploring the Relations between Student Cynicism and Student Burnout. Psychological Reports, 117(1), 103–115. https://doi.org/10.2466/14.11.PR0.117c14z6
Williams, C. J., Dziurawiec, S., & Heritage, B. (2018). More pain than gain: Effort–reward imbalance, burnout, and withdrawal intentions within a university student population. Journal of Educational Psychology, 110(3), 378–394. https://doi.org/10.1037/edu0000212
Wolff, W., Brand, R., Baumgarten, F., Lösel, J., & Ziegler, M. (2014). Modeling students’ instrumental (mis-) use of substances to enhance cognitive performance: Neuroenhancement in the light of job demands-resources theory. BioPsychoSocial Medicine, 8(1), 12. https://doi.org/10.1186/1751-0759-8-12
World Health Organization. (2019). International statistical classification of diseases and related health problems (11th Revision). https://icd.who.int/browse11/l-m/en
We thank Dr. Tamás Martos (University of Szeged, Institute of Psychology) and Dr. Bertalan Polner (Budapest University of Technology and Economics, Department of Cognitive Sciences) for their insights and comments on the manuscript, which were valuable and helped to improve our research.
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All procedures were carried out with the adequate understanding and consent of the participants and with the approval of the University of Szeged and the Hungarian United Ethical Review Committee for Research in Psychology prior to data collection.
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Jagodics, B., Nagy, K., Szénási, S. et al. School Demands and Resources as Predictors of Student Burnout Among High School Students. School Mental Health 15, 90–104 (2023). https://doi.org/10.1007/s12310-022-09534-1