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Pain predicts being out of work, especially for those with low job control: longitudinal analysis of adults in Australia

Macchia, L. ORCID: 0000-0001-9558-4747, Delaney, L. & Daly, M. (2025). Pain predicts being out of work, especially for those with low job control: longitudinal analysis of adults in Australia. Occupational and Environmental Medicine, 82(7), pp. 320-325. doi: 10.1136/oemed-2025-110242

Abstract

Objective While work provides a crucial source of income and purpose, pain can be a significant limiting factor. Yet robust empirical evidence on the factors underlying the link between pain and being out of work remains scarce. We explore the longitudinal association between pain and being out of work and potential explanatory factors.

Methods We used nationally representative longitudinal data from the Household, Income and Labour Dynamics of Australia Survey (n=25 973, number of observations=233 989, 2002–2022). We conducted individual fixed effects regressions with a wide range of covariates.

Results We found that pain in a given year was significantly positively associated with the likelihood of being out of work the year after. Pain interference with work explained this link. This association was moderated by job control: participants who reported very severe pain and low job control were more likely (10.6%) to lose their job next year than those who reported very severe pain and high job control (6.7%).

Conclusions Pain was associated with being out of work, with job control moderating that link. Having the autonomy to flexibly adapt the nature of work tasks to accommodate pain may protect against being out of work.

Publication Type: Article
Additional Information: This article has been accepted for publication in Occupational and Environmental Medicine, 2025 following peer review, and the Version of Record can be accessed online at https://doi.org/10.1136/oemed-2025-110242. For the avoidance of doubt, this manuscript version is protected by copyright, including for uses related to text and data mining, AI training, and similar technologies.
Publisher Keywords: Pain, pain interference, workplace, out of work, job control, decision autonomy
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HN Social history and conditions. Social problems. Social reform
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
R Medicine > RC Internal medicine
Departments: School of Health & Medical Sciences
School of Health & Medical Sciences > Department of Psychology & Neuroscience
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