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Cited by 402

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Back pain prevalence in US industry and estimates of lost workdays.

Open access
Guo, H R, Tanaka, S, Halperin, W E, Cameron, L L·1999·American Journal of Public Health

Abstract

OBJECTIVES: Back pain is the most common reason for filing workers' compensation claims and often causes lost workdays. Data from the 1988 National Health Interview Survey were analyzed to identify high-risk industries and to estimate the prevalence of work-related back pain and number of workdays lost. METHODS: Analyses included 30074 respondents who worked during the 12 months before the interview. A case patient was defined as a respondent who had back pain every day for a week or more during that period. RESULTS: The prevalence of lost-workday back pain was 4.6%, and individuals with work-related cases lost 101.8 million workdays owing to back pain. Male and female case patients lost about the same number of workdays. Industries in high-risk categories were also identified for future research and intervention, including those seldom studied. CONCLUSIONS: This study provides statistically reliable national estimates of the prevalence of back pain among workers and the enormous effect of this condition on American industry in terms of lost workdays.

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Metadata

Authors
Guo, H. R., Tanaka, S., Halperin, W. E., & Cameron, L. L.
Venue
American Journal of Public Health
Published
1999-07
Volume
89
Issue
7
Pages
1029-1035
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W1993390942
Cited by
402
References
1
FWCI
6.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Back pain prevalence in US industry and estimates of lost workdays. https://app.cochat.ai/papers/10.2105/ajph.89.7.1029
The paper
Guo, H. R., Tanaka, S., Halperin, W. E., & Cameron, L. L. (1999). Back pain prevalence in US industry and estimates of lost workdays. American Journal of Public Health. https://doi.org/10.2105/ajph.89.7.1029

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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.