We focus in the current study on associations between personality, multicultural attitudes, and perceived ethnic outgroup distance in the Netherlands. Data were collected among four different ethnic groups (from low to high in terms of ethnic hierarchy): Turkish/Moroccan-Dutch, Antillean/Surinamese-Dutch, Mixed Western immigrants, and Dutch majority group members. We found support for a mediation model in which in all groups multicultural attitudes mediate the relation between personality traits, education level, and age as antecedents, and outgroup distance as outcome; age was the only antecedent that also had a direct effect on outcome. Education was positively related to multiculturalism in the groups high in the hierarchy and unrelated in the groups low in the hierarchy. The association between multicultural attitudes and outgroup distance was negative and stronger for the groups higher in the ethnic hierarchy; hierarchy was unrelated to outgroup distance. Groups higher in the hierarchy scored lower on multicultural attitudes. It was concluded that multicultural attitudes and outgroup distance are important for understanding intergroup dynamics in ethnically diverse societies.
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The lack of career movement of members of ethnic minority groups in work organizations has been widely documented. The purpose of this paper is to gain insight into conditions for the realization of diversity goals in the case of talent development.
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New approach methodologies predicting human cardiotoxicity are of interest to support or even replace in vivo-based drug safety testing. The present study presents an in vitro–in silico approach to predict the effect of inter-individual and inter-ethnic kinetic variations in the cardiotoxicity of R- and S-methadone in the Caucasian and the Chinese population. In vitro cardiotoxicity data, and metabolic data obtained from two approaches, using either individual human liver microsomes or recombinant cytochrome P450 enzymes (rCYPs), were integrated with physiologically based kinetic (PBK) models and Monte Carlo simulations to predict inter-individual and inter-ethnic variations in methadone-induced cardiotoxicity. Chemical specific adjustment factors were defined and used to derive dose–response curves for the sensitive individuals. Our simulations indicated that Chinese are more sensitive towards methadone-induced cardiotoxicity with Margin of Safety values being generally two-fold lower than those for Caucasians for both methadone enantiomers. Individual PBK models using microsomes and PBK models using rCYPs combined with Monte Carlo simulations predicted similar inter-individual and inter-ethnic variations in methadone-induced cardiotoxicity. The present study illustrates how inter-individual and inter-ethnic variations in cardiotoxicity can be predicted by combining in vitro toxicity and metabolic data, PBK modelling and Monte Carlo simulations. The novel methodology can be used to enhance cardiac safety evaluations and risk assessment of chemicals.
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