Literature DB >> 11382179

Health surveillance for occupational chronic obstructive pulmonary disease.

E Meijer1, D E Grobbee, D J Heederik.   

Abstract

Screening for lung disease in workers with a low prevalence of chronic obstructive pulmonary disease (COPD) is subject to debate. Examining all workers would lead to unacceptable costs. Surveillance of high-risk groups may be a useful alternative. Data from 314 workers exposed to dust were used to develop a prediction model. Data from a study comprising 96 rubber workers were used to validate the model's performance. COPD was defined as a ratio of forced expiratory volume in 1 second to forced vital capacity outside the 5th percentile. The accuracy of the model was evaluated by receiver operating characteristic curve analysis and by comparison of the observed versus predicted probabilities. Shortness of breath, wheeze, heavy smoking, and work-related lower respiratory symptoms were identified as independent determinants of having COPD. Workers with COPD can be distinguished from those without COPD on the basis of a medical/work-related questionnaire. Occupational physicians can develop a low-cost strategy for detecting workers at risk for COPD.

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Year:  2001        PMID: 11382179     DOI: 10.1097/00043764-200105000-00003

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  3 in total

1.  Chronic obstructive pulmonary disease in never-smoking dairy farmers.

Authors:  Saso Stoleski; Jordan Minov; Jovanka Karadzinska-Bislimovska; Dragan Mijakoski
Journal:  Open Respir Med J       Date:  2015-03-31

2.  Respiratory Symptoms and Lung Function in Never-Smoking Male Workers Exposed To Hardwood Dust.

Authors:  Dragana Bislimovska; Sunchica Petrovska; Jordan Minov
Journal:  Open Access Maced J Med Sci       Date:  2015-07-16

Review 3.  Occupational COPD-The most under-recognized occupational lung disease?

Authors:  Nicola Murgia; Angela Gambelunghe
Journal:  Respirology       Date:  2022-05-05       Impact factor: 6.175

  3 in total

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