Skip to Main content Skip to Navigation
Journal articles

Predictors of respiratory sickness absence: an international population-based study.

Abstract : Respiratory tract-related occupational disability is common among adults of working age. We examined occupational vapors, gas, dust, or fume (VGDF) exposure as a predictor of disability, based on respiratory sickness absence among the actively employed, at an early point at which prevention may be most relevant. Currently employed European Community Respiratory Health Survey II participants (n = 6,988) were classified into three mutually exclusive, condition/symptom-based categories: physician-diagnosed asthma, self-reported rhinitis, and wheeze/breathlessness (n = 4,772). Logistic regression analysis estimated the odds of respiratory sickness absence (past 12 months) by VGDF exposure. In the condition/symptom groups, 327 (6.9%) reported respiratory sickness absence. Exposure to VGDF was associated with increased odds of respiratory sickness absence: asthma odds ratio [OR] 2.0 (95% confidence interval [CI] 1.1-3.6), wheeze/breathlessness OR 2.2 (95% CI 1.01-4.8); rhinitis OR 1.9 (95% CI 1.02-3.4). One in 15 currently employed with asthma, breathlessness, or rhinitis reported respiratory sickness absence. VGDF exposure doubled the odds of respiratory sickness absence, suggesting a focus for disability prevention.
Document type :
Journal articles
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-01324108
Contributor : Beatrice Faraldo <>
Submitted on : Tuesday, May 31, 2016 - 4:03:21 PM
Last modification on : Wednesday, September 16, 2020 - 5:11:00 PM
Long-term archiving on: : Thursday, September 1, 2016 - 11:20:13 AM

File

KIM_AJIM_2013Final_accepted.pd...
Files produced by the author(s)

Identifiers

Collections

Citation

Jeong-Lim Kim, Paul Blanc, Simona Villani, Mario Olivieri, Isabel Urrutia, et al.. Predictors of respiratory sickness absence: an international population-based study.. American Journal of Industrial Medicine, Wiley, 2013, 56 (5), pp.541-9. ⟨10.1002/ajim.22178⟩. ⟨inserm-01324108⟩

Share

Metrics

Record views

241

Files downloads

336