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Protocol of the STRess at Work (STRAW) Project: How to Disentangle Day-to-Day Occupational Stress among Academics Based on EMA, Physiological Data, and Smartphone Sensor and Usage Data

Author

Listed:
  • Larissa Bolliger

    (Department of Public Health and Primary Care, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium
    Shared first authorship.)

  • Junoš Lukan

    (Department of Intelligent Systems, Jožef Stefan Institute, Jožef Stefan International Postgraduate School, Jamova Cesta 39, 1000 Ljubljana, Slovenia
    Shared first authorship.)

  • Mitja Luštrek

    (Department of Intelligent Systems, Jožef Stefan Institute, Jožef Stefan International Postgraduate School, Jamova Cesta 39, 1000 Ljubljana, Slovenia)

  • Dirk De Bacquer

    (Department of Public Health and Primary Care, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium)

  • Els Clays

    (Department of Public Health and Primary Care, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium)

Abstract

Several studies have reported on increasing psychosocial stress in academia due to work environment risk factors like job insecurity, work-family conflict, research grant applications, and high workload. The STRAW project adds novel aspects to occupational stress research among academic staff by measuring day-to-day stress in their real-world work environments over 15 working days. Work environment risk factors, stress outcomes, health-related behaviors, and work activities were measured repeatedly via an ecological momentary assessment (EMA), specially developed for this project. These results were combined with continuously tracked physiological stress responses using wearable devices and smartphone sensor and usage data. These data provide information on workplace context using our self-developed Android smartphone app. The data were analyzed using two approaches: 1) multilevel statistical modelling for repeated data to analyze relations between work environment risk factors and stress outcomes on a within- and between-person level, based on EMA results and a baseline screening, and 2) machine-learning focusing on building prediction models to develop and evaluate acute stress detection models, based on physiological data and smartphone sensor and usage data. Linking these data collection and analysis approaches enabled us to disentangle and model sources, outcomes, and contexts of occupational stress in academia.

Suggested Citation

  • Larissa Bolliger & Junoš Lukan & Mitja Luštrek & Dirk De Bacquer & Els Clays, 2020. "Protocol of the STRess at Work (STRAW) Project: How to Disentangle Day-to-Day Occupational Stress among Academics Based on EMA, Physiological Data, and Smartphone Sensor and Usage Data," IJERPH, MDPI, vol. 17(23), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:8835-:d:452536
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    References listed on IDEAS

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    1. Britta Matthes & Bernhard Christoph & Florian Janik & Michael Ruland, 2014. "Collecting information on job tasks—an instrument to measure tasks required at the workplace in a multi-topic survey [Die Erfassung von Job-Tasks in persönlichen Befragungen. Ein neues Instrument z," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(4), pages 273-297, December.
    2. Johannes Siegrist & Jian Li, 2016. "Associations of Extrinsic and Intrinsic Components of Work Stress with Health: A Systematic Review of Evidence on the Effort-Reward Imbalance Model," IJERPH, MDPI, vol. 13(4), pages 1-14, April.
    3. Matthes, Britta & Christoph, Bernhard & Janik, Florian & Ruland, Michael, 2014. "Collecting information on job tasks - an instrument to measure tasks required at the workplace in a multi-topic survey," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 47(4), pages 273-297.
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    Cited by:

    1. Victoria Weale & Jasmine Love & Els Clays & Jodi Oakman, 2023. "Using EMA and Physiological Data to Explore the Relationship between Day-to-Day Occupational Stress, Musculoskeletal Pain and Mental Health among University Staff: A Study Protocol," IJERPH, MDPI, vol. 20(4), pages 1-10, February.

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