Eleonora Feletto1, Sara J Schonfeld2, Evgeny V Kovalevskiy3, Igor V Bukhtiyarov4, Sergey V Kashanskiy5, Monika Moissonnier6, Kurt Straif7, Joachim Schüz8, Hans Kromhout9. 1. Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France. Electronic address: felettoe@fellows.iarc.fr. 2. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: schonfes@mail.nih.gov. 3. Scientific Research Institute of Occupational Health, Moscow, Russian Federation. Electronic address: kovevgeny2008@yandex.ru. 4. Scientific Research Institute of Occupational Health, Moscow, Russian Federation. Electronic address: ivbukhtiyarov@mail.ru. 5. Yekaterinburg Medical Research Center for Prophylaxis and Health Protection in Industrial Workers, Yekaterinburg, Russian Federation. Electronic address: skashansky@yandex.ru. 6. Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France. Electronic address: moissonnierm@iarc.fr. 7. Section of IARC Monographs, International Agency for Research on Cancer, Lyon, France. Electronic address: straifk@iarc.fr. 8. Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France. Electronic address: schuzj@iarc.fr. 9. Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands. Electronic address: h.kromhout@uu.nl.
Abstract
INTRODUCTION: Historic dust concentrations are available in a large-scale cohort study of workers in a chrysotile mine and processing factories in Asbest, Russian Federation. Parallel dust (gravimetric) and fibre (phase-contrast optical microscopy) concentrations collected in 1995, 2007 and 2013/14 were used to determine if dust to fibre conversion factors can be estimated. MATERIALS/SUBJECTS AND METHODS: Daily medians of multiple parallel dust and fibre concentrations by sampling points were used to derive fibre to dust ratios. Applying linear mixed models, we estimated best linear unbiased predictions for the fibre to dust ratios. RESULTS AND DISCUSSION: A total of 620 daily median fibre to dust ratios were derived. In the factories, modelled ratios varied by unit, increasing along the stages of asbestos enrichment as expected. In the mine, ratios were higher in winter compared to summer. Overall, the ratios showed a strong negative dependency on dust concentration. CONCLUSIONS: Our study shows that dust to fibre conversion is possible by unit but extrapolations are needed. The patterns for exposure by dust and fibre will be similar but estimated fibre levels will show less contrast due to the conversion factor being smaller at higher dust concentrations.
INTRODUCTION: Historic dust concentrations are available in a large-scale cohort study of workers in a chrysotile mine and processing factories in Asbest, Russian Federation. Parallel dust (gravimetric) and fibre (phase-contrast optical microscopy) concentrations collected in 1995, 2007 and 2013/14 were used to determine if dust to fibre conversion factors can be estimated. MATERIALS/SUBJECTS AND METHODS: Daily medians of multiple parallel dust and fibre concentrations by sampling points were used to derive fibre to dust ratios. Applying linear mixed models, we estimated best linear unbiased predictions for the fibre to dust ratios. RESULTS AND DISCUSSION: A total of 620 daily median fibre to dust ratios were derived. In the factories, modelled ratios varied by unit, increasing along the stages of asbestos enrichment as expected. In the mine, ratios were higher in winter compared to summer. Overall, the ratios showed a strong negative dependency on dust concentration. CONCLUSIONS: Our study shows that dust to fibre conversion is possible by unit but extrapolations are needed. The patterns for exposure by dust and fibre will be similar but estimated fibre levels will show less contrast due to the conversion factor being smaller at higher dust concentrations.
Authors: Joachim Schüz; Igor Bukhtiyarov; Ann Olsson; Monika Moissonnier; Evgenia Ostroumova; Eleonora Feletto; Sara J Schonfeld; Graham Byrnes; Iraklii Tskhomariia; Valerie McCormack; Kurt Straif; Sergey Kashanskiy; Tatiana Morozova; Hans Kromhout; Evgeny Kovalevskiy Journal: PLoS One Date: 2020-07-29 Impact factor: 3.240
Authors: Sara J Schonfeld; Evgeny V Kovalevskiy; Eleonora Feletto; Igor V Bukhtiyarov; Sergey V Kashanskiy; Monika Moissonier; Kurt Straif; Valerie A McCormack; Joachim Schüz; Hans Kromhout Journal: Ann Work Expo Health Date: 2017-08-01 Impact factor: 2.179
Authors: Eleonora Feletto; Evgeny V Kovalevskiy; Sara J Schonfeld; Monika Moissonnier; Ann Olsson; Sergey V Kashanskiy; Evgenia Ostroumova; Igor V Bukhtiyarov; Joachim Schüz; Hans Kromhout Journal: Occup Environ Med Date: 2021-10-08 Impact factor: 4.948
Authors: Dongmug Kang; Yu-Young Kim; Minseung Shin; Min-Su Lee; Hee-Joo Bae; Se-Yeong Kim; Young-Ki Kim Journal: Int J Environ Res Public Health Date: 2018-08-02 Impact factor: 3.390