Unfairness at work as a predictor of absenteeism

This study among 514 security guards examines the relationship between perceptions of unfairness at work and absenteeism during a one‐year follow‐up. On the basis of previous theoretical work and fragmented empirical evidence, it was hypothesized that distributive unfairness causes absence behavior in a direct or indirect way (through health complaints). Procedural unfairness was hypothesized to cause absence behavior through affective commitment or through health complaints. Results of a series of structural equation modelling analyses offer support for the mediating role of health complaints in the relationship between (distributive and procedural) unfairness at work and absenteeism. Moreover, our findings demonstrate that perceived unfairness contributes to explaining T2‐absenteeism over and above the impact of T1‐absenteeism and traditional work‐related stressors (i.e., work load and low job control). The theoretical and practical implications of these findings are discussed. Copyright © 2002 John Wiley & Sons, Ltd.     

The acute toxicity of chlorobenzenes for earthworms (Eisenia andrei) in different exposure systems

Earthworms (Eisenia andrei) were exposed to different concentrations of two chlorobenzenes (1,2,3-trichloro- and pentachlorobenzene) using different routes of administration: in water, in soil, via food and on filter paper. Except for the contact paper toxicity test, lethal body burdens (LBBs) measured in these different exposure systems were similar for the same test chemical. LBBs for 1,2,3-trichlorobenzene varied between 0.44 and 2.1 μmol/g and for pentachlorobenzene between 1.29 and 2.34 μmol/g. These values correspond with literature data for fish. For 1,4-dichloro- and 1,2,3,4-tetrachlorobenzene LBBs measured with the contact paper toxicity test were 0.33 and 3.2 μmol/g, respectively. Exposure to hexachlorobenzene and hexabromobenzene using the contact toxicity test did not result in death within 48 hours.     

Optimization of a monitoring network for sulfur dioxide

In this study, we develop and apply a methodology to reduce an existing monitoring network to find an optimal configuration of a smaller network. We use a criterion based on locally weighted regression with two different weight functions. The methodology is applied to the Dutch national SO2 network and offers the possibility to include different politically relevant options in the model by weight criteria. Because full enumeration of all monitoring networks is impossible, a combinatorial search algorithm is applied to find a (sub)optimal solution. If different (optimal) monitoring networks result from different criteria, then the best can be selected.     

Public attitudes to nuclear energy: Salience and anxiety

During the last decade there has been a significant increase in public concern about nuclear energy. This paper presents a brief overview of trends and developments in public opinion since the late 1970s. One possible reason for this increased concern is the public's perception of risks. Research has shown a considerable divergence in public and expert assessment of the risks associated with nuclear energy. It will be argued that qualitative aspects of these risks play a crucial role in the public's perception of nuclear energy, and that reactions such as fear and anxiety are the major determinants of attitudes to the building of new nuclear power stations in one's neighbourhood. It is also clear, however, that differences in the perception of these risks do not embrace all the relevant aspects of public acceptance of nuclear energy. Public reaction is also related to more general values and beliefs, and the issue of nuclear energy is firmly embedded in a much wider moral and political domain.     

First world-wide interlaboratory study on polybrominated diphenylethers (PBDEs)

The first world-wide interlaboratory study on PBDEs, organised between November 1999 and April 2000, involved five biological samples, two sediments and two standard solutions. These materials were sent to 26 participants in nine different countries. Results were returned from 18 laboratories. The results reported for BDE 47 were acceptable with a range of relative standard deviations (Rsd) of 17-40%. Results for the BDEs 99 (Rsd 25-77%), BDE 100 (Rsd 19-48%), 153 (Rsd 30-48%) and 154 (Rsd 25-43%) showed that a further improvement of these analyses is needed. The BDE 209 analysis is not under the control of the participating laboratories. The data reported for the biota samples were very variable and for the two sediments Rsd values of 48% and 78% were obtained. It is recommended that analysts pay more attention to the special requirements for the BDE 209 analysis such as avoiding exposure to intensive light and exposure for too long times to too high temperatures.