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Parents are a major supplier of alcohol to adolescents, yet there is limited research examining the impact of this on adolescent alcohol use. This study investigates associations between parental supply of alcohol, supply from other sources, and adolescent drinking, adjusting for child, parent, family and peer variables. A cohort of 1927 adolescents was surveyed annually from 2010 to 2014. Measures include: consumption of whole drinks; binge drinking (>4 standard drinks on any occasion); parental supply of alcohol; supply from other sources; child, parent, family and peer covariates. After adjustment, adolescents supplied alcohol by parents had higher odds of drinking whole beverages [odds ratio (OR) 1.80, 95% confidence interval (CI) 1.33-2.45] than those not supplied by parents. However, parental supply was not associated with bingeing, and those supplied alcohol by parents typically consumed fewer drinks per occasion (incidence rate ratio 0.86, 95% CI 0.77-0.96) than adolescents supplied only from other sources. Adolescents obtaining alcohol from non-parental sources had increased odds of drinking whole beverages (OR 2.53, 95% CI 1.86-3.45) and bingeing (OR 3.51, 95% CI 2.53-4.87). Parental supply of alcohol to adolescents was associated with increased risk of drinking, but not bingeing. These parentally-supplied children also consumed fewer drinks on a typical drinking occasion. Adolescents supplied alcohol from non-parental sources had greater odds of drinking and bingeing. Further follow-up is necessary to determine whether these patterns continue, and to examine alcohol-related harm trajectories. Parents should be advised that supply of alcohol may increase children's drinking.

Background Employing waiting list control designs in psychological and behavioral intervention research may artificially inflate intervention effect estimates. This exploratory randomized controlled trial tested this proposition in a study employing a brief intervention for problem drinkers, one domain of research in which waiting list control designs are used. Methods All participants (N = 185) were provided with brief personalized feedback intervention materials after being randomly allocated either to be told that they were in the intervention condition and that this was the intervention or to be told that they were in the waiting list control condition and that they would receive access to the intervention in four weeks with this information provided in the meantime. Results A total of 157 participants (85%) were followed-up after 4 weeks. Between-group differences were found in one of four outcomes (proportion within safe drinking guidelines). An interaction was identified between experimental manipulation and stage of change at study entry such that participant change was arrested among those more ready to change and told they were on the waiting list. Conclusions Trials with waiting list control conditions may overestimate treatment effects, though the extent of any such bias appears likely to vary between study populations. Arguably they should only be used where this threat to valid inference has been carefully assessed.

Issue addressed: Australian university students consume large amounts of alcohol. There is little published information about personal and academic problems associated with this behaviour. We sought to estimate the prevalence, and identify variables associated with, alcohol-related problems among undergraduate hazardous drinkers.Methods: The control group members (942 undergraduates, 53.3% male, mean age 19.4 years) of an internet-based intervention trial, who scored >=8 on the Alcohol Use Disorders Identification Test, completed two validated questionnaires about their experience of alcohol-related problems in the preceding 4 weeks. Regression models were used to identify associations between individual characteristics and alcohol-related problems. Results: One-quarter of participants had missed a class (25.6%) and/or had been unable to concentrate in class (25.7%), and 45% reported that their drinking had impacted negatively on their learning or grades. The most frequent non-academic problems were hangovers (74.8%), blackouts (44.8%), emotional outbursts (30.5%), vomiting (28.1%), arguments (20.2%) and drink-driving (23.2%). Male gender, lower age, being a smoker, being in the Faculty of Health (versus Humanities) and living in shared housing (versus with parents/guardians) were each associated with alcohol-related problems, whereas year of study had no association. Conclusions: There is a high prevalence of preventable alcohol-related problems among undergraduates drinking at hazardous levels and a need for restriction of the availability and promotion of alcohol as well as intervention for individuals at high risk. So what? Universities have a duty of care to large populations of young people drinking at hazardous levels and should make greater efforts to address hazardous alcohol consumption.

There is evidence that smoking and alcohol consumption are paired behaviours among university students, but we know little about how New Zealand students engage in these behaviours. We estimated prevalence of daily and occasional smoking among university students, and associations of smoking with drinking patterns, demographics and smokefree policies of the university. This research was conducted with 2822 university students, aged 17-25, from five New Zealand universities who participated in an online health survey in 2013. Fourteen percent reported they currently smoke occasionally, and 3% reported smoking on a daily basis. Increasing age, living situation, drinking more often, and drinking more alcohol during drinking occasions were all associated with greater levels of smoking. Understanding patterns of smoking in relation to alcohol consumption may help efforts to further reduce smoking prevalence. Specifically, policy makers should consider approaches that de-couple tobacco and alcohol consumption, such as expanding the smokefree perimeter of bars and disallowing the sale of tobacco at premises licensed to sell alcohol.

We tested the hypothesis that participants who know the behavioral focus of a study and are thus aware that a particular behavior is being studied will modify that behavior, independently of any possible effect of assessment, thereby dismantling a Hawthorne effect into two putative components. We undertook a three-arm individually randomized trial online among students: group A (control) were told they were completing a lifestyle survey; group B were told the focus of the survey was alcohol consumption; and group C additionally answered 20 questions on their alcohol use and its consequences before answering the same lifestyle questions as Groups A and B. Nondrinkers were excluded, and all groups were aware they would be followed up after 1 month. Outcome data were obtained for 4,583 of 5,478 trial participants (84% follow-up rate). There were no differences between the three groups on primary (overall volume consumed) or secondary outcome measures (drinking frequency and amount per typical occasion) in the intervening 4 weeks. There is no evidence that any form of Hawthorne effect exists in relation to self-reported alcohol consumption online among university students in usual research practice. Attention to study contexts is warranted for investigating research participation effects.

Background It is well established that the tobacco industry used research funding as a deliberate tactic to subvert science. There has been little wider attention to how researchers think about accepting industry funding. We developed, then tested, hypotheses about two psychological constructs, namely, entitlement and conflict of interest contrarianism (CoI-C) among alcohol researchers who had previously received industry funding. Methods A mixed-methods pilot study involved construct and instrument development, followed by an online survey and nested 3-arm randomised trial. We randomly allocated alcohol industry funding recipients to one of three conditions. In two experimental conditions we asked participants questions to remind them (and thus increase the salience) of their sense of entitlement or CoI-C . We compared these groups with a control group who did not receive any reminder. The outcome was a composite measure of openness to working with the alcohol industry. Results 133 researchers were randomised of whom 79 completed the experiment. The posterior distribution over effect estimates revealed that there was a 94.8% probability that reminding researchers of their CoI-C led them to self-report being more receptive to industry funding, whereas the probability was 68.1% that reminding them of their sense of entitlement did so. Biomedical researchers reported being more open to working with industry than did psychosocial researchers. Conclusion Holding contrarian views on conflict of interest could make researchers more open to working with industry. This study shows how it is possible to study researcher decision-making using quantitative experimental methods.

Research in New Zealand into negative effects of excessive drinking on other people, involving violence, interrupted sleep or study, and having to care for the person involved. [(BNI unique abstract)] 5 references

Objectives: (1) For crashes on a public road, to compare serious cyclist crashes involving a motor vehicle with cyclist crashes not involving a motor vehicle, in terms of threat to life and length of stay in hospital. (2) To determine the proportion of all serious crashes involving cyclists on public roads which are recorded by the police. (3) To determine the degree to which under-reporting of serious crashes involving cyclists and motor vehicles on public roads is associated with various demographic, environmental, and injury factors. Study design: Records for the period 1995–99, of cyclists seriously injured on a public road and hospitalised were linked to the traffic crash report (TCR) database maintained by Land Transport Safety Authority (LTSA). Results: Of the 2925 cyclist crashes on public roads, only 652 (22%) could be linked to a TCR. Of the crashes involving motor vehicles (n = 1033), only 562 (54%) could be linked to the LTSA database. Age, ethnicity, injury severity, and cumulative length of stay were the only variables that predicted whether hospitalised cycle crash cases were more likely to have a corresponding TCR. There were substantial numbers of cyclist only crashes which typically are not captured in the TCR database. Nine percent of these resulted in serious or worse injury (that is, International Classification of Diseases/abbreviated injury scale score of 3+) and 7% resulted in hospital stays greater than seven days. Conclusion: Greater effort and precision needs to be applied to routinely document the burden of cyclist crashes, especially cyclist only crashes.

New Zealand's low driver licence and alcohol purchase ages are a lethal combination