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Cited by 379

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The Association of Medical Conditions and Presenteeism

Burton, Wayne N., Pransky, Glenn, Conti, Daniel J., Chen, Chin-Yu, Edington, Dee W.·2004·Journal of Occupational & Environmental Medicine

Abstract

A self-reported measure of four domains of work impairment based on the Work Limitations Questionnaire was completed by 16,651 employees of a large financial services corporation. Using a multivariate model to control for coexisting conditions, age, and gender, significant relationships were observed between medical conditions and patterns of impaired work performance. Depression was highly associated with work limitations in time management (odds ratio [OR] = 2.05), interpersonal/mental functioning (OR = 2.50), and overall output (OR = 2.24). Arthritis (OR = 1.56) and low back pain (OR = 1.32) were associated with physical function limitations. These same two conditions were associated with limitations in mental/interpersonal functioning but with low back pain having the higher odds ratio (OR = 1.54 vs. 1.22). These results suggest that worksite interventions (eg, disease management programs) should be tailored to the unique effects observed with specific medical conditions. More targeted programs could have important benefits for productivity in the workplace.

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Metadata

Authors
Burton, W. N., Pransky, G., Conti, D. J., Chen, C.-Y., & Edington, D. W.
Venue
Journal of Occupational & Environmental Medicine
Published
2004-06
Volume
46
Issue
6
Pages
S38-S45
ISSN
1076-2752 (ISSN-L)
OpenAlex
W1989732105
Cited by
379
References
3
FWCI
30.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Association of Medical Conditions and Presenteeism. https://app.cochat.ai/papers/10.1097/01.jom.0000126687.49652.44
The paper
Burton, W. N., Pransky, G., Conti, D. J., Chen, C.-Y., & Edington, D. W. (2004). The Association of Medical Conditions and Presenteeism. Journal of Occupational & Environmental Medicine. https://doi.org/10.1097/01.jom.0000126687.49652.44

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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.