The DOI matches its Crossref record.
A comparison of self-reported sickness absence with absences recorded in employers’ registers: evidence from the Whitehall II study
Open accessAbstract
Aim:To compare self-reported sickness absence days in the last 12 months with recorded absences from the employers’ registers for the same period. Methods:Self-reported sickness absence data over the 12 months preceding baseline (1985–88) were compared with absence records from the employers’ registers over the same period for 2406 women and 5589 men, participants in the Whitehall II study of British civil servants. Associations with self-rated health, longstanding illness, minor psychiatric disorder, physical illness, and prevalent coronary heart disease at baseline were determined. Results:In general, women reported less sickness absence over the last year than was recorded in the employers’ registers, while men, with the exception of those in the lower employment grades, reported more. Agreement between self-reported and recorded absence days decreased as the total number of days increased. After adjustment for employment grade and the average number of recorded and self-reported absence days, the total number of self-reported absence days was within two days of the recorded number of days for 63% of women and 67% of men. Associations between annual self-reported sickness absence days and self-rated health, longstanding illness, minor psychiatric disorder, physical illness, and prevalent coronary heart disease were as strong as those for recorded absence days. Conclusion:These findings suggest that agreement between the annual number of self-reported and the annual number of recorded sickness absence days is relatively good in both sexes and that associations with health are equivalent for both measures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nnoaham, K. E., Hummelshoj, L., Webster, P., d’Hooghe, T., de Cicco Nardone, F., de Cicco Nardone, C., Jenkinson, C., Kennedy, S. H., & Zondervan, K. T. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.05.090 · Cited by 1,584
Normative data for the 12 item WHO Disability Assessment Schedule 2.0
Andrews, G., Kemp, A., Sunderland, M., Von Korff, M., & Ustun, T. B. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008343 · Cited by 437
Bouwmans, C., De Jong, K., Timman, R., Zijlstra-Vlasveld, M., Van der Feltz-Cornelis, C., Tan, S. S., & Hakkaart-van Roijen, L. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-217 · Cited by 401
Interventions to improve return to work in depressed people
Nieuwenhuijsen, K., Faber, B., Verbeek, J. H., Neumeyer-Gromen, A., Hees, H. L., Verhoeven, A. C., van der Feltz-Cornelis, C. M., & Bültmann, U. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006237.pub3 · Cited by 299
Interventions to improve occupational health in depressed people
Nieuwenhuijsen, K., Bültmann, U., Neumeyer-Gromen, A., Verhoeven, A. C., Verbeek, J. H., & Feltz-Cornelis, C. M. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006237.pub2 · Cited by 129
Metadata
- Authors
- Ferrie, J. E., Kivimäki, M., Head, J., Shipley, M. J., Vahtera, J., & Marmot, M. G.
- Venue
- Occupational and Environmental Medicine
- Publisher
- BMJ
- Published
- 2005-01-18
- Volume
- 62
- Issue
- 2
- Pages
- 74-79
- ISSN
- 0007-1072 (ISSN-L)
- 1351-0711
- 1470-7926
- OpenAlex
- W2145240339
- Cited by
- 226
- References
- 0
- FWCI
- 24.80
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A comparison of self-reported sickness absence with absences recorded in employers’ registers: evidence from the Whitehall II study. https://app.cochat.ai/papers/10.1136/oem.2004.013896
- The paper
- Ferrie, J. E., Kivimäki, M., Head, J., Shipley, M. J., Vahtera, J., & Marmot, M. G. (2005). A comparison of self-reported sickness absence with absences recorded in employers’ registers: evidence from the Whitehall II study. Occupational and Environmental Medicine. https://doi.org/10.1136/oem.2004.013896
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.