Abstract
In this paper, a temporal-causal network model is introduced for a burnout in relation to sleep. The network model approach shows the impact of different lifestyle, personal and job factors on the development of a burnout. This model, for instance, can be used to schedule night shifts in order to preserve the needed recovery of exhaustive, irregular sleeping patterns or to investigate the effects of certain in lifestyles induced triggers on burnout.
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References
Åkerstedt, T., Wright, K.P.: Sleep loss and fatigue in shift work and shift work disorder. Sleep Med. Clin. 4(2), 257–271 (2009)
Alarcon, G., Eschleman, K.J., Bowling, N.A.: Relationships between personality variables and burnout: a meta-analysis. Work Stress 23(3), 244–263 (2009)
Borsboom, D., Cramer, A.O.: Network analysis: an integrative approach to the structure of psychopathology. Annu. Rev. Clin. Psychol. 9, 91–121 (2013)
CBS, TNO: Psychosociale arbeidsbelasting (PSA) werknemers. Retrieved from http://statline.cbs.nl/StatWeb/publication/?VW=T&DM=SLNL&PA=83049NED&LA=NL (2017)
DePaepe, J., French, R., Lavay, B.: Burnout symptoms experienced among special physical educators: a descriptive longitudinal study. Adap. Phys. Act. Q. 2(3), 189–196 (1985)
Dujmić, Z., Machielse, E., Treur, J.: A temporal-causal modeling approach to the dynamics of a burnout and the role of physical exercise. In: Samsonovich, A.V. (ed.) Biologically Inspired Cognitive Architectures 2018: Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA’18, vol. 1, Advances in Intelligent Systems and Computing, vol. 848, pp. 88–100. Springer (2019)
Emilia, I., Gómez-Urquiza, J.L., Cañadas, G.R., Albendín-García, L., Ortega-Campos, E., Cañadas-De la Fuente, G.A.: Burnout and its relationship with personality factors in oncology nurses. Eur. J. Oncol. Nurs. 30, 91–96 (2017)
Eschleman, K.J., Bowling, N.A., Alarcon, G.M.: A meta-analytic examination of hardiness. Int. J. Stress Manage. 17(4), 277–307 (2010)
Huang, L., Zhou, D., Yao, Y., Lan, Y.: Relationship of personality with job burnout and psychological stress risk in clinicians. Chin. J. Ind. Hygiene Occup. Dis. 33(2), 84–87 (2015)
Kabadayi, A.: Investigating the burn-out levels of turkish preschool teachers. Proc.-Soc. Behav. Sci. 197, 156–160 (2015)
Kuipers, B.J.: Commonsense reasoning about causality: deriving behavior from structure. Artif. Intell. 24, 169–203 (1984)
Kuipers, B.J., Kassirer, J.P.: How to discover a knowledge representation for causal reasoning by studying an expert physician. In: Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI’83. William Kaufman, Los Altos, CA (1983)
Maslach, C., Jackson, S.E.: The measurement of experienced burnout. J. Organ. Behav. 2(2), 99–113 (1981)
McGeary, C.A., Garcia, H.A., McGeary, D.D., Finley, E.P., Peterson, A.L.: Burnout and coping: veterans health administration posttraumatic stress disorder mental health providers. Psychol. Trauma: Theory Res. Pract. Policy 6(4), 390 (2014)
Miró, E., Solanes, A., Martínez, P., Sanchez, A.I., Rodríguez, J.M.: Relationship between burnout, job strain, and sleep characteristics. Psicothema 19(3), 388–394 (2007)
Mohammadi Ziabari, S.S., Treur, J.: A modeling environment for dynamic and adaptive network models implemented in matlab. In: Proceedings of the Fourth International Congress on Information and Communication Technology, ICICT’19. Advances in Intelligent Systems and Computing. Springer (2019)
Pagnin, D., de Queiroz, V., Carvalho, Y.T.M.S., Dutra, A.S.S., Amaral, M.B., Queiroz, T.T.: The relation between burnout and sleep disorders in medical students. Acad. Psychiatry 38(4), 438–444 (2014)
Pearl, J.: Causality. Cambridge University Press (2000)
Pilcher, J.J., Huffcutt, A.I.: Effects of sleep deprivation on performance: a meta-analysis. Sleep 19(4), 318–326 (1996)
Rosen, I.M., Gimotty, P.A., Shea, J.A., Bellini, L.M.: Evolution of sleep quantity, sleep deprivation, mood disturbances, empathy, and burnout among interns. Acad. Med. 81(1), 82–85 (2006)
Söderström, M., Jeding, M., Akerstedt, T., Ekstedt, M., Perski, A.: Insufficient sleep predicts clinical burnout. J. Occup. Health Psychol. 17(2), 175–183 (2012)
Sutin, A.R., Stephan, Y., Luchetti, M., Artese, A., Oshio, A., Terracciano, A.: The five-factor model of personality and physical inactivity: a meta-analysis of 16 samples. J. Res. Pers. 63, 22–28 (2016)
Treur, J.: Network-Oriented Modeling: Addressing Complexity of Cognitive. Affective and Social Interactions. Springer, Cham (2016)
Treur, J.: The ins and outs of network-oriented modeling: from biological networks and mental networks to social networks and beyond. Trans. Comput. Collect. Intell. 32, 120–139 (2019). Based on Keynote Lecture at the 10th International Conference on Computational Collective Intelligence, ICCCI’18 (2019)
Whitney, C.W., Enright, P.L., Newman, A.B., Bonekat, W., Foley, D., Quan, S.F.: Correlates of daytime sleepiness in 4578 elderly persons: the Cardiovascular Health Study (1998)
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von Kentzinsky, H., Wijtsma, S., Treur, J. (2020). A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-32-9343-4_18
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