Binge Drinking Among Undergraduate College Students in the United States: Implications for Other Substance Use

Abstract

The authors examined the relationship between binge drinking and other substance use among US college students, using nationally representative data from the 1995 National College Health Risk Behavior Survey implemented by the Centers for Disease Control and Prevention. Compared with nonbinge drinkers, current binge drinkers were significantly more likely to report “ever” using and current use of cigarettes, marijuana, cocaine, and other illegal drugs. The researchers also found that the more often students binge drank, the more likely they were to have ever used cigarettes, marijuana, cocaine, and other drugs, and the more likely they were to report current use of cigarettes and marijuana. Those who design programs to prevent binge drinking and use of other substances should take into account the reality that many students use more than one substance and that the more frequently students report binge drinking, the more likely they are to be using other substances as well.     

Signing in the Seraglio: mutes, dwarfs and jestures at the Ottoman Court 1500-1700

Deaf people, known as 'mutes', worked in the Turkish Ottoman court from the fifteenth to the twentieth century in various roles along with dwarfs and other entertainers. Their signing system became popular, was used regularly by hearing people including successive Sultans, and was reportedly capable of expressing ideas of whatever complexity. The Ottoman court mutes' early achievements, at a time when deaf education and employment was barely considered feasible in Western Europe, have been obscured through literary critics' reactions against later travellers' stereotyping of Middle Eastern countries. Detailed, contemporary sixteenth and seventeenth century accounts of the mutes' activities and signing system are collated and appraised by modern linguistic and historiographical criteria.     

Reactions of Adolescents to Their Therapist’s Serious Illness

Few publications exist on the reactions of children and adolescents to the serious illness of their therapist. This paper reviews the literature on the responses of adult patient’s and presents three vignettes of adolescents who were in treatment when their therapist was diagnosed with cancer. We discuss some of the theoretical and clinical issues these cases present and conclude that openly sharing an appropriate amount of information with the adolescents appears to further rather than impede the therapeutic process.     

The Influence of Heuristics on Psychological Science: A Case Study of Research on Creativity

Research heuristics—implicit rules used to guide work on a scientific problem—are explored for their role in guiding psychological research. Work on the psychology of creativity is used to illustrate how heuristics have guided research. We examine the influence of three heuristics: the trilogy-of-mind heuristic, the emotions-as-moods heuristic, and the analysis-of-variance heuristic. This analysis of multiple heuristics provides a new way to understand the state of research on creativity. In the discussion, the analysis is extended to other heuristics and to how heuristics may help as well as hinder innovative research.     

Measuring unemployment

The forecasts and assumptions of government and business regarding availability of labour are based in part on official statistics has been a matter of considerable debate in recent years. In this paper the author presents his views on the interpretation of the relevant U.K. statistics.     

Minimizing makespan in an ordered flow shop with?machine-dependent processing times

We consider a generalization of the proportionate flow shop problem with the makespan objective. Each job has a processing requirement and each machine has a characteristic value. In our case, we assume that the time a job occupies a machine is equal to the processing requirement of the job plus a setup time that is equal to the characteristic value of that machine. In this paper, we consider permutation schedules and show that the problem is solvable in polynomial time when the number of machines is fixed.     

A comparative analysis of public sector restructuring in the U.S., Canada, Mexico, and the Caribbean

We examine public sector restructuring in North America and selected Commonwealth Caribbean nations. Although all the countries studied experienced significant restruc-turing in response to public debt pressures, there were major differences across coun-tries in the magnitude, pace, form, and the manner in which restructuring decisions were made. These differences reflect the state of economic development and institu-tional characteristics, e.g., the role of the state and the industrial relations system. In developing countries, international lending institutions played a major role in trans-forming the role of the state. In developed countries, the inherent stability of the eco-nomic systems and institutional pressures led to a gradualist approach to restructuring.     

Understanding increments in model performance metrics

The area under the receiver operating characteristic curve (AUC) is the most commonly reported measure of discrimination for prediction models with binary outcomes. However, recently it has been criticized for its inability to increase when important risk factors are added to a baseline model with good discrimination. This has led to the claim that the reliance on the AUC as a measure of discrimination may miss important improvements in clinical performance of risk prediction rules derived from a baseline model. In this paper we investigate this claim by relating the AUC to measures of clinical performance based on sensitivity and specificity under the assumption of multivariate normality. The behavior of the AUC is contrasted with that of discrimination slope. We show that unless rules with very good specificity are desired, the change in the AUC does an adequate job as a predictor of the change in measures of clinical performance. However, stronger or more numerous predictors are needed to achieve the same increment in the AUC for baseline models with good versus poor discrimination. When excellent specificity is desired, our results suggest that the discrimination slope might be a better measure of model improvement than AUC. The theoretical results are illustrated using a Framingham Heart Study example of a model for predicting the 10-year incidence of atrial fibrillation.