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Allostatic Load and Effort-Reward Imbalance: Associations over the Working-Career

Author

Listed:
  • José Ignacio Cuitún Coronado

    (Cathie Marsh Institute and Social Statistics, University of Manchester, Humanities Bridgeford Street, Manchester M13 9PL, UK)

  • Tarani Chandola

    (Cathie Marsh Institute and Social Statistics, University of Manchester, Humanities Bridgeford Street, Manchester M13 9PL, UK)

  • Andrew Steptoe

    (Research Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK)

Abstract

Although associations between work stressors and stress-related biomarkers have been reported in cross-sectional studies, the use of single time measurements of work stressors could be one of the reasons for inconsistent associations. This study examines whether repeated reports of work stress towards the end of the working career predicts allostatic load, a measure of chronic stress related physiological processes. Data from waves 2 to 6 of the English Longitudinal Study of Ageing (ELSA) were analysed, with a main analytical sample of 2663 older adults (aged 50+) who had at least one measurement of effort-reward imbalance between waves 2–6 and a measurement of allostatic load at wave 6. Cumulative work stress over waves 2–6 were measured by the effort-reward imbalance model. ELSA respondents who had reported two or more occasions of imbalance had a higher (0.3) estimate of the allostatic load index than those who did not report any imbalance, controlling for a range of health and socio-demographic factors, as well as allostatic load at baseline. More recent reports of imbalance were significantly associated with a higher allostatic load index, whereas reports of imbalance from earlier waves of ELSA were not. The accumulation of work related stressors could have adverse effects on chronic stress biological processes.

Suggested Citation

  • José Ignacio Cuitún Coronado & Tarani Chandola & Andrew Steptoe, 2018. "Allostatic Load and Effort-Reward Imbalance: Associations over the Working-Career," IJERPH, MDPI, vol. 15(2), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:191-:d:128439
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    References listed on IDEAS

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    1. Johannes Siegrist & Jian Li, 2017. "Work Stress and Altered Biomarkers: A Synthesis of Findings Based on the Effort–Reward Imbalance Model," IJERPH, MDPI, vol. 14(11), pages 1-18, November.
    2. van Vegchel, Natasja & de Jonge, Jan & Bosma, Hans & Schaufeli, Wilmar, 2005. "Reviewing the effort-reward imbalance model: drawing up the balance of 45 empirical studies," Social Science & Medicine, Elsevier, vol. 60(5), pages 1117-1131, March.
    3. Siegrist, Johannes & Starke, Dagmar & Chandola, Tarani & Godin, Isabelle & Marmot, Michael & Niedhammer, Isabelle & Peter, Richard, 2004. "The measurement of effort-reward imbalance at work: European comparisons," Social Science & Medicine, Elsevier, vol. 58(8), pages 1483-1499, April.
    4. Nicola Magnavita & Sergio Garbarino, 2017. "Sleep, Health and Wellness at Work: A Scoping Review," IJERPH, MDPI, vol. 14(11), pages 1-18, November.
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