Alcohol consumption in the UK has been increasing steadily. We prospectively studied the burden on hospital services caused by overt alcohol misuse, in an inner-city hospital in north-west England. All Accident & Emergency (A&E) patients were assessed to determine whether their hospital attendance was alcohol-related, and whether this resulted in admission and/or generated new out-patient appointments. Over 2 months, 1915 patients attended A&E with alcohol-related problems, accounting for 12% of attendances; 50% were aged 18-39 years, and acute alcohol intoxication was the commonest presenting complaint. Overall, 6.2% of all hospital admissions were due to alcohol-related problems. Over 2800 new out-patient visits were likely to have been generated over an 18-month period from initial attendance with an alcohol-related problem, mostly for orthopaedic clinics. The burden placed by overt alcohol-related problems on hospitals is enormous, both in terms of the emergency and out-patient services. The implementation of education, screening and intervention strategies in A&E departments, and employment of key trained personnel, should be considered, to optimize the clinical management of these patients.

We explore whether individuals are averse to telling a Pareto white lie—a lie that benefits both themselves and another. We first review and summarize the existing evidence on Pareto white lies. We find that the evidence is relatively limited and varied in its conclusions. We then present new experimental results obtained using a coin-tossing experiment. Results are provided for both the UK and China. We find evidence of willingness to tell a partial lie (i.e., inflating reports slightly) and high levels of aversion to telling a Pareto white lie that would maximize payoffs. We also find no significant difference between willingness to tell a Pareto white lie and a selfish black lie—a lie that harms another. We find marginal evidence of more lying in China than the UK, but the overall results in the UK and China are very similar.

Poor quality sleep can lead to executive function deficits, including problems with inhibitory control. Similarly, substance use is associated with decreased inhibitory control for substancerelated stimuli. Therefore, this study investigated whether sleep quality is associated with attentional bias. Participants were 39 university students (18-28 years, 29 females). An eye tracking task was used to measure attentional bias for alcohol-related stimuli. Alcohol usage and sleep quality were measured using self-report questionnaires (AUDIT and PSQI respectively). An attentional bias related to alcohol usage was observed within the participants.However, there was no association observed with sleep quality. Therefore, we conclude that sleep quality may not influence attentional biases.

Part 3: Section 2: Critical View of the FutureInternational audienceForecasters in firms are expected to employ mathematical techniques encoded in information systems in order to predict the future demand for a firm(s goods. In practice, many forecasters have eschewed statistical methods of fore casting and depend instead on human expertise. This resistance to the ideals and technologies of forecasting has largely been understood in the literature as a failure of rationality in firms. This paper provides a social and political analysis of forecasting in a case study firm, and examines alternative rationalities present in the firm that legitimate what appears to the forecasting literature as foolish practices. The case study organization, a large manufacturing firm, undertook a process of reform of the forecasting process during the course of the study. This paper explores how resistance to a new forecasting support system was shaped by the local equilibrium that had been reached between rationalities in the firm

No abstract