IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1480-d226111.html
   My bibliography  Save this article

What Does a Single-Item Measure of Job Stressfulness Assess?

Author

Listed:
  • Jonathan Houdmont

    (Centre for Organizational Health and Development, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, B Floor, Yang Fujia Building, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK)

  • Liza Jachens

    (Psychology, Sociology and Professional Counselling, Webster University, 1293 Geneva, Switzerland)

  • Raymond Randall

    (Management School, University of Sheffield, Sheffield S10 1FL, UK)

  • Sadie Hopson

    (Centre for Organizational Health and Development, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, B Floor, Yang Fujia Building, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK)

  • Sean Nuttall

    (Centre for Organizational Health and Development, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, B Floor, Yang Fujia Building, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK)

  • Stamatia Pamia

    (Centre for Organizational Health and Development, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, B Floor, Yang Fujia Building, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK)

Abstract

Single-item measures of global job stressfulness are increasingly used in occupational health research, yet their construct validity remains unexplored. This study used a qualitative approach to identify frames of reference that underlie self-ratings on such a measure. Data were collected from a convenience sample of 55 adults in full-time employment who completed a single-item measure inviting a rating of the extent to which their job is generally stressful. A cognitive interview schedule was used to explore the factors taken into account when providing a global rating, with thematic analysis applied to identify themes in the interview transcripts. The most common frames of reference were the presence of problematic psychosocial working conditions, particularly job demands. Health characteristics, predominantly poor psychological wellbeing, emerged as a further less dominant secondary theme. Almost half the sample cited four or more referents. In terms of the timeframe under consideration, most participants referred to a long timeframe such as their work in general, with some specifying their current job and, a few, recent weeks. These findings shed light on the frames of reference used to inform judgements on global job stressfulness elicited by a single-item measure and in doing so contribute to the evidence base to support the application of such measures in occupational health research and organisational psychosocial risk management activities.

Suggested Citation

  • Jonathan Houdmont & Liza Jachens & Raymond Randall & Sadie Hopson & Sean Nuttall & Stamatia Pamia, 2019. "What Does a Single-Item Measure of Job Stressfulness Assess?," IJERPH, MDPI, vol. 16(9), pages 1-15, April.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1480-:d:226111
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1480/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/9/1480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xavier Bartoll & Joan Gil & Raul Ramos, 2018. "“Has the economic crisis worsened the work-related stress and mental health of temporary workers in Spain?”," AQR Working Papers 201808, University of Barcelona, Regional Quantitative Analysis Group, revised Oct 2018.
    2. Smith, Anthony M. A. & Shelley, Julia M. & Dennerstein, Lorraine, 1994. "Self-rated health: Biological continuum or social discontinuity?," Social Science & Medicine, Elsevier, vol. 39(1), pages 77-83, July.
    3. Kaplan, Giora & Baron-Epel, Orna, 2003. "What lies behind the subjective evaluation of health status?," Social Science & Medicine, Elsevier, vol. 56(8), pages 1669-1676, April.
    4. Jylhä, Marja, 1994. "Self-rated health revisited: Exploring survey interview episodes with elderly respondents," Social Science & Medicine, Elsevier, vol. 39(7), pages 983-990, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Holly Blake & Ikra Mahmood & Gonxhe Dushi & Mehmet Yildirim & Elizabeth Gay, 2021. "Psychological Impacts of COVID-19 on Healthcare Trainees and Perceptions towards a Digital Wellbeing Support Package," IJERPH, MDPI, vol. 18(20), pages 1-25, October.
    2. Juan A. Marin-Garcia & Tomas Bonavia, 2021. "Empowerment and Employee Well-Being: A Mediation Analysis Study," IJERPH, MDPI, vol. 18(11), pages 1-22, May.
    3. Juan A. Marin-Garcia & Tomas Bonavia & Josep-Maria Losilla, 2020. "Changes in the Association between European Workers’ Employment Conditions and Employee Well-Being in 2005, 2010 and 2015," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    4. Holly Blake & Mehmet Yildirim & Ben Wood & Steph Knowles & Helen Mancini & Emma Coyne & Joanne Cooper, 2020. "COVID-Well: Evaluation of the Implementation of Supported Wellbeing Centres for Hospital Employees during the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(24), pages 1-22, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jylhä, Marja, 2009. "What is self-rated health and why does it predict mortality? Towards a unified conceptual model," Social Science & Medicine, Elsevier, vol. 69(3), pages 307-316, August.
    2. Rainer Reile & Mall Leinsalu, 2013. "Differentiating positive and negative self-rated health: results from a cross-sectional study in Estonia," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 555-564, August.
    3. Baron-Epel, Orna & Kaplan, Giora & Haviv-Messika, Amalia & Tarabeia, Jalal & Green, Manfred S. & Nitzan Kaluski, Dorit, 2005. "Self-reported health as a cultural health determinant in Arab and Jewish Israelis: MABAT--National Health and Nutrition Survey 1999-2001," Social Science & Medicine, Elsevier, vol. 61(6), pages 1256-1266, September.
    4. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    5. Thomas Puvill & Jolanda Lindenberg & Jacobijn Gussekloo & Anton J M de Craen & Joris P J Slaets & Rudi G J Westendorp, 2016. "Associations of Various Health-Ratings with Geriatric Giants, Mortality and Life Satisfaction in Older People," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-13, September.
    6. García-Muñoz, Teresa & Neuman, Shoshana & Neuman, Tzahi, 2014. "Health Risk Factors among the Older European Populations: Personal and Country Effects," IZA Discussion Papers 8529, Institute of Labor Economics (IZA).
    7. Sharizan Sharkawi & Mazlina Suhaimi & Murni Zarina Mohamed Razali, 2021. "The Effects of Job Insecurity, Job Demand and Health Issues towards Presenteeism in a Malaysian Government Linked Company," International Journal of Human Resource Studies, Macrothink Institute, vol. 11(3), pages 1628-1628, December.
    8. Prus, Steven G., 2011. "Comparing social determinants of self-rated health across the United States and Canada," Social Science & Medicine, Elsevier, vol. 73(1), pages 50-59, July.
    9. H. Eme Ichoku & William Fonta & Michael Thiede, 2011. "Socioeconomic gradients in self-rated health: a developing country case study of Enugu State, Nigeria," Economic Change and Restructuring, Springer, vol. 44(3), pages 179-202, August.
    10. Mujcic, Redzo & Frijters, Paul, 2015. "Conspicuous consumption, conspicuous health, and optimal taxation," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 59-70.
    11. Natalia Golini & Viviana Egidi, 2016. "The Latent Dimensions of Poor Self-Rated Health: How Chronic Diseases, Functional and Emotional Dimensions Interact Influencing Self-Rated Health in Italian Elderly," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 321-339, August.
    12. Alison Reynolds & Claire E. Altman, 2018. "Subjective Health Assessments Among Older Adults in Mexico," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(5), pages 825-850, October.
    13. Tiina Lankila & Simo Näyhä & Arja Rautio & Tanja Nordström & Markku Koiranen & Anja Taanila & Jarmo Rusanen, 2012. "Self-reported health in urban–rural continuum: a grid-based analysis of Northern Finland Birth Cohort 1966," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(3), pages 525-533, June.
    14. Maria Magdalena Bujnowska-Fedak & Łukasz Wysoczański, 2020. "Access to an Electronic Health Record: A Polish National Survey," IJERPH, MDPI, vol. 17(17), pages 1-17, August.
    15. Shuliu Tian & Lei Xu & Xiangling Wu, 2021. "Impacts of Social Participation on Self-Rated Health of Aging Women in China: With a Mediating Role of Caring for Grandchildren," IJERPH, MDPI, vol. 18(11), pages 1-18, May.
    16. Radka Ghorbani Saeedian & Iveta Nagyova & Daniel Klein & Matej Skorvanek & Jaroslav Rosenberger & Zuzana Gdovinova & Johan W Groothoff & Jitse P van Dijk, 2014. "Self‐rated health mediates the association between functional status and health‐related quality of life in Parkinson's disease," Journal of Clinical Nursing, John Wiley & Sons, vol. 23(13-14), pages 1970-1977, July.
    17. Zeying Huang & Haijun Li & Jiazhang Huang, 2022. "Determinants of Nutrition Facts Table Use by Chinese Consumers for Nutritional Value Comparisons," IJERPH, MDPI, vol. 19(2), pages 1-11, January.
    18. Nahal Mavaddat & Richard A Parker & Simon Sanderson & Jonathan Mant & Ann Louise Kinmonth, 2014. "Relationship of Self-Rated Health with Fatal and Non-Fatal Outcomes in Cardiovascular Disease: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-13, July.
    19. Ruiz-Valenzuela, Jenifer, 2020. "Intergenerational effects of employment protection reforms," LSE Research Online Documents on Economics 104016, London School of Economics and Political Science, LSE Library.
    20. Joanna Jurewicz & Dorota Kaleta, 2020. "Correlates of Poor Self-Assessed Health Status among Socially Disadvantaged Populations in Poland," IJERPH, MDPI, vol. 17(4), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1480-:d:226111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.