A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep

Hendrik von Kentzinsky; Stefan Wijtsma; Jan Treur

doi:10.1007/978-981-32-9343-4_18

A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep

Hendrik von Kentzinsky^*
, Stefan Wijtsma
, Jan Treur

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Fourth International Congress on Information and Communication Technology
Subtitle of host publication	ICICT 2019, London, Volume 2
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer
Pages	219-232
Number of pages	14
Volume	2
ISBN (Electronic)	9789813293434
ISBN (Print)	9789813293427
DOIs	https://doi.org/10.1007/978-981-32-9343-4_18
Publication status	Published - 2020
Event	4th International Congress on Information and Communication Technology, ICICT 2019 - London, United Kingdom Duration: 27 Feb 2019 → 28 Feb 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1027
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Congress on Information and Communication Technology, ICICT 2019
Country/Territory	United Kingdom
City	London
Period	27/02/19 → 28/02/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Burnout
Network model
Sleep

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10.1007/978-981-32-9343-4_18

Kentzinsky2020_Chapter_ATemporal-CausalModellingApproachToAnalyseTheDynamicsOfBurnoutAndTheEffectsOfSleepFinal published version, 611 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/330578010_A_Temporal-Causal_Modelling_Approach_to_Analyse_the_Dynamics_of_Burnout_and_the_Effects_of_Sleep

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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 X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2 (Vol. 2, pp. 219-232). (Advances in Intelligent Systems and Computing; Vol. 1027). Springer. https://doi.org/10.1007/978-981-32-9343-4_18

von Kentzinsky, Hendrik ; Wijtsma, Stefan ; Treur, Jan. / A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep. Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Vol. 2 Springer, 2020. pp. 219-232 (Advances in Intelligent Systems and Computing).

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title = "A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep",

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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booktitle = "Fourth International Congress on Information and Communication Technology",

note = "4th International Congress on Information and Communication Technology, ICICT 2019 ; Conference date: 27-02-2019 Through 28-02-2019",

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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 X-S Yang, S Sherratt, N Dey & A Joshi (eds), Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2. vol. 2, Advances in Intelligent Systems and Computing, vol. 1027, Springer, pp. 219-232, 4th International Congress on Information and Communication Technology, ICICT 2019, London, United Kingdom, 27/02/19. https://doi.org/10.1007/978-981-32-9343-4_18

A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep. / von Kentzinsky, Hendrik; Wijtsma, Stefan; Treur, Jan.
Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Vol. 2 Springer, 2020. p. 219-232 (Advances in Intelligent Systems and Computing; Vol. 1027).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Wijtsma, Stefan

AU - Treur, Jan

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Burnout

KW - Network model

KW - Sleep

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DO - 10.1007/978-981-32-9343-4_18

M3 - Conference contribution

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SN - 9789813293427

VL - 2

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EP - 232

BT - Fourth International Congress on Information and Communication Technology

A2 - Yang, Xin-She

A2 - Sherratt, Simon

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von Kentzinsky H, Wijtsma S, Treur J. 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, editors, Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2. Vol. 2. Springer. 2020. p. 219-232. (Advances in Intelligent Systems and Computing). Epub 2020 Jan 3. doi: 10.1007/978-981-32-9343-4_18

A Temporal-Causal Modelling Approach to Analyse the Dynamics of Burnout and the Effects of Sleep

Abstract

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UN SDGs

Keywords

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