title: Individual toluene exposure in rotary printing: increasing accuracy of estimation by linear models based on protocols of daily activity and other measures.
abstract: Industrial exposure varies distinctly both between persons and for each person over time. It is often not possible to measure individual exposure repeatedly due to high costs. Therefore, a method for assessment of exposure is needed that accounts for inter- and intraindividual variability. We consider a strategy suggested by Preller et al. (1995, Scandinavian Journal of Work, Environment, and Health 21, 504-512), the idea of which is to predict exposure on several days via a linear model using additional variables as regressors. Those additional variables are easier to obtain than exposure measurements and are assumed to influence exposure. The paper gives a theoretical proof of the use of this method. An example is given using toluene exposure data from a study in a rotogravure printing plant.
authors: Institute of Forest Biometrics and Informatics, University of Goettingen, Buesgenweg 4, 37077 Goettingen, Germany.
authors: A
authors: A
authors: Wameling
authors: M
authors: M
authors: Schäper
authors: J
authors: J
authors: Kunert
authors: M
authors: M
authors: Blaszkewicz
authors: C
authors: C
authors: van Thriel
authors: M
authors: M
authors: Zupanic
authors: A
authors: A
authors: Seeber
mesh_terms: D001699:Biometry / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D016273:Occupational Exposure; D016272:Occupational Health; D012044:Regression Analysis; D015203:Reproducibility of Results; D014050:Toluene
chemical_list: D014050:Toluene