Change Matters: Binge Drinking and Drugging Victimization over Time in Three College Freshman Cohorts

The “once bitten, twice shy” (OBTS) hypothesis argues that crime victims who change their involvement in risky lifestyle behaviors reduce their likelihood of experiencing repeat victimization. Tests of this hypothesis have yielded weak to mixed results, which may be due to methodological issues. We address these methodological issues by testing the OBTS hypothesis for repeat drugging victimization with survey data from a panel of three freshman cohorts at three large, public universities. Supportive of the OBTS hypothesis, the multivariate results show that, on average, those not drugged at Time 1 or Time 2 and those drugged at Time 1 and Time 2 increased the number of days they binge drank in the past month significantly more than those who were drugged at Time 1 only. Our findings have implications for both victimology theory and drugging prevention programming

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity