ORCID: https://orcid.org/0000-0001-7871-8686
  
(2020):
		Estimation of an Exposure Threshold Value for Compensation of Silica-Induced COPD Based on Longitudinal Changes in Pulmonary Function.
	
	 In: International Journal of Environmental Research and Public Health, Bd. 17, Nr.  23, 9040
      
        
          
             [PDF, 324kB]
          
        
      
Abstract
(1) Background: To estimate the cumulative exposure to respirable crystalline silica (RCS) that reduces lung function to an extent corresponding with airway obstruction equivalent to chronic obstructive pulmonary disease (COPD). (2) Methods: The study is based on a miners' cohort with longitudinal data on lung function and RCS exposure. Random-effects linear regression models, allowing for a possible threshold concerning the exposure concentration were used to analyze the impact of RCS on the ratio of forced expiratory volume in 1 s and forced vital capacity (FEV1/FVC). The proposed threshold is the amount of RCS resulting in a decrease in FEV1/FVC from the expected value to the lower limit of normal. (3) Results: The analysis shows that a threshold model fits the data significantly better than the usual linear model. The estimated threshold value for the exposure concentration is 0.089 mg/m(3). Using this threshold, the estimate for the corresponding reference dose for RCS is 2.33 mg/m(3)center dot y. (4) Conclusions: The analysis confirmed that RCS has a negative impact on lung function. The effect is primarily due to exposure above a concentration threshold of 0.1 mg/m(3). It is recommended that COPD should be compensated as an occupational disease if cumulative exposure was at least 2 mg/m(3)center dot y above this threshold.
| Dokumententyp: | Zeitschriftenartikel | 
|---|---|
| Fakultät: | Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin | 
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit | 
| URN: | urn:nbn:de:bvb:19-epub-87594-9 | 
| Sprache: | Englisch | 
| Dokumenten ID: | 87594 | 
| Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022 09:24 | 
| Letzte Änderungen: | 24. Apr. 2024 13:02 | 
 
		 
	 
    



