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Pulmonary health risks among northwest loggers.
T B Stibolt1, W M Vollmer, L E McCamant
1Center for Health Research, Kaiser Permanente, Portland, Ore.
Journal of Occupational Medicine. : Official Publication of the Industrial Medical Association
|June 1, 1991
Summary
Spirometry prediction equations from the National Institute for Occupational Safety and Health may not apply to all blue-collar workers. Loggers showed different lung function results and more chest illnesses than predicted.
Area of Science:
- Occupational Health
- Pulmonary Medicine
- Epidemiology
Background:
- National Institute for Occupational Safety and Health (NIOSH) spirometry prediction equations are widely used.
- These equations are typically based on nonexposed blue-collar worker populations.
- Generalizability of these equations to diverse occupational groups requires validation.
Purpose of the Study:
- To evaluate the applicability of NIOSH spirometry prediction equations to a population of loggers.
- To compare respiratory health outcomes and symptoms in loggers against established reference data.
Main Methods:
- Spirometry, respiratory symptom questionnaires, and chest radiographs were administered to 688 loggers in Oregon and Washington.
- Data were compared with previously published NIOSH studies of nonexposed blue-collar workers.
- Analysis focused on lung function parameters (FEV1, FVC, FEV1/FVC ratio) and symptom prevalence.
Main Results:
- Loggers exhibited significantly greater forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) than predicted by NIOSH equations.
- The FEV1/FVC ratio was lower than predicted in the logger population.
- Loggers reported a higher prevalence of recent chest illnesses compared to the reference population.
- Chest radiographs revealed a slight excess of pleural thickening, potentially linked to chest trauma.
Conclusions:
- NIOSH spirometry prediction equations may not be suitable for generalizing to all blue-collar populations, including loggers.
- Occupational-specific factors may influence lung function and respiratory health outcomes.
- Further research is needed to develop or validate prediction equations for specific occupational groups.