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The Association of the 24 Hour Distribution of Time Spent in Physical Activity, Work, and Sleep with Emotional Exhaustion

Author

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  • Janina Janurek

    (Department of Psychology, Justus-Liebig-University Giessen, 35394 Giessen, Germany)

  • Sascha Abdel Hadi

    (Department of Psychology, Justus-Liebig-University Giessen, 35394 Giessen, Germany)

  • Andreas Mojzisch

    (Institute of Psychology, University of Hildesheim, 31141 Hildesheim, Germany)

  • Jan Alexander Häusser

    (Department of Psychology, Justus-Liebig-University Giessen, 35394 Giessen, Germany)

Abstract

Previous research identified time spent in physical activity, sleeping, and working as predictors of emotional exhaustion. However, this research did not take into account the interdependence of these time-use components. Since daily time is limited to 24 h, time spent in one specific activity (e.g., sleep) cannot be used for any other activity (e.g., physical activity). We conducted a one-week daily sampling study to assess the compositional effects of physical activity, sleep, and work on emotional exhaustion. Since the sample consisted of 104 undergraduate students, work was operationalized as study time. Participants wore accelerometers for one week continuously to assess sleep and physical activity. Also, they filled in questionnaires on study time and emotional exhaustion every morning. Multilevel and compositional data analyses were conducted. The multilevel analysis revealed significant between- ( p = 0.012) and within-level ( p < 0.001) associations of study time with emotional exhaustion. The compositional approach showed that time spent in physical activity was negatively related to emotional exhaustion ( p = 0.007), whereas time spent studying was positively related to emotional exhaustion ( p = 0.003), relative to the remaining two time-use components. In conclusion, our results show that emotional exhaustion is not only associated with work-related factors, but also with off-job physical activity.

Suggested Citation

  • Janina Janurek & Sascha Abdel Hadi & Andreas Mojzisch & Jan Alexander Häusser, 2018. "The Association of the 24 Hour Distribution of Time Spent in Physical Activity, Work, and Sleep with Emotional Exhaustion," IJERPH, MDPI, vol. 15(9), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1927-:d:167796
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    References listed on IDEAS

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    1. K. Hron & P. Filzmoser & K. Thompson, 2012. "Linear regression with compositional explanatory variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(5), pages 1115-1128, November.
    2. Toby Hunt & Marie T. Williams & Timothy S. Olds & Dorothea Dumuid, 2018. "Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum," IJERPH, MDPI, vol. 15(3), pages 1-12, March.
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    1. María del Carmen Pérez-Fuentes & María del Mar Molero Jurado & María del Mar Simón Márquez & José Jesús Gázquez Linares, 2019. "Analysis of Sociodemographic and Psychological Variables Involved in Sleep Quality in Nurses," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    2. Lisa-Marie Larisch & Lena V. Kallings & Maria Hagströmer & Manisha Desai & Philip von Rosen & Victoria Blom, 2020. "Associations between 24 h Movement Behavior and Mental Health in Office Workers," IJERPH, MDPI, vol. 17(17), pages 1-20, August.
    3. Huilin Wang & Xiao Zheng & Yang Liu & Ziqing Xu & Jingyu Yang, 2022. "Alleviating Doctors’ Emotional Exhaustion through Sports Involvement during the COVID-19 Pandemic: The Mediating Roles of Regulatory Emotional Self-Efficacy and Perceived Stress," IJERPH, MDPI, vol. 19(18), pages 1-13, September.
    4. Xiaona Na & Yangyang Chen & Xiaochuan Ma & Dongping Wang & Haojie Wang & Yang Song & Yumeng Hua & Peiyu Wang & Aiping Liu, 2021. "Relations of Lifestyle Behavior Clusters to Dyslipidemia in China: A Compositional Data Analysis," IJERPH, MDPI, vol. 18(15), pages 1-13, July.

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