Explore the vast range of titles available.

Background Research on a possible causal association between alcohol consumption and risk of prostate cancer is inconclusive. Recent studies on associations between alcohol consumption and other health outcomes suggest these are influenced by drinker misclassification errors and other study quality characteristics. The influence of these factors on estimates of the relationship between alcohol consumption and prostate cancer has not been previously investigated. Methods PubMed and Web of Science searches were made for case–control and cohort studies of alcohol consumption and prostate cancer morbidity and mortality (ICD–10: C61) up to December 2014. Studies were coded for drinker misclassification errors, quality of alcohol measures, extent of control for confounding and other study characteristics. Mixed models were used to estimate relative risk (RR) of morbidity or mortality from prostate cancer due to alcohol consumption with study level controls for selection bias and confounding. Results A total of 340 studies were identified of which 27 satisfied inclusion criteria providing 126 estimates for different alcohol exposures. Adjusted RR estimates indicated a significantly increased risk of prostate cancer among low (RR = 1.08, P < 0.001), medium (RR = 1.07, P < 0.01), high (RR = 1.14, P < 0.001) and higher (RR = 1.18, P < 0.001) volume drinkers compared to abstainers. There was a significant dose–response relationship for current drinkers (P trend < 0.01). Studies free from misclassification errors produced the highest risk estimates for drinkers versus abstainers in adjusted models (RR = 1.22, P < 0.05). Conclusion Our study finds, for the first time, a significant dose–response relationship between level of alcohol intake and risk of prostate cancer starting with low volume consumption (>1.3, <24 g per day). This relationship is stronger in the relatively few studies free of former drinker misclassification error. Given the high prevalence of prostate cancer in the developed world, the public health implications of these findings are significant. Prostate cancer may need to be incorporated into future estimates of the burden of disease alongside other cancers (e.g. breast, oesophagus, colon, liver) and be integrated into public health strategies for reducing alcohol related disease.

Industry self-regulation is the dominant approach to managing alcohol advertising in Australia and many other countries. There is a need to explore the barriers to government adoption of more effective regulatory approaches. This study examined relevance and quality features of evidence cited by industry and non-industry actors in their submissions to Australian alcohol advertising policy consultations. Submissions to two public consultations with a primary focus on alcohol advertising policy were analysed. Submissions (n = 71) were classified into their actor type (industry or non-industry) and according to their expressed support for, or opposition to, increased regulation of alcohol advertising. Details of cited evidence were extracted and coded against a framework adapted from previous research (primary codes: subject matter relevance, type of publication, time since publication, and independence from industry). Evidence was also classified as featuring indicators of higher quality if it was either published in a peer-reviewed journal or academic source, published within 10 years of the consultation, and/or had no apparent industry connection. Almost two-thirds of submissions were from industry actors (n = 45 submissions from alcohol, advertising, or sporting industries). With few exceptions, industry actor submissions opposed increased regulation of alcohol advertising and non-industry actor submissions supported increased regulation. Industry actors cited substantially less evidence than non-industry actors, both per submission and in total. Only 27% of evidence cited by industry actors was highly relevant and featured at least two indicators of higher quality compared to 58% of evidence cited by non-industry actors. Evaluation of the value of the evidentiary contribution of industry actors to consultations on alcohol advertising policy appears to be limited. Modifications to consultation processes, such as exclusion of industry actors, quality requirements for submitted evidence, minimum standards for referencing evidence, and requirements to declare potential conflicts, may improve the public health outcomes of policy consultations.

To investigate the direction and degree of potential bias introducedto analyses of drinking and health status which exclude former drinkers from exposure groups. Pooled analysis of 14 waves (1997-2010) of the U.S. National Health Interview Survey (NHIS). General population-based study. 404,462 participants, from 14 waves of the NHIS, who had knownself-reported health status and alcohol consumption status. Self-reported health status was used as the indicatorof health. Two approaches were used to classify alcohol consumption: (i) separation of former drinkers and current drinkers, and (ii) combined former and current drinkers. The prevalence of fair/poor health by alcohol use, gender and age with 95% confidence intervals was estimated. The difference in prevalence of fair/poor health status for lifetime abstainers, former drinkers, current drinkers and drinkers (former drinkers and current drinkers combined) were compared using Poisson regression with robust estimations of variance. Excluding former drinkers from drinker groups exaggerates the difference in health status between abstainers and drinkers, especially for males. In cohort study analyses, former drinkers should be assigned to a drinking category based on their previous alcohol consumption patterns and not treated as a discrete exposure group.

The Northern Territory (NT) Government introduced a minimum unit price (MUP) of $1.30 per standard drink (10g pure alcohol) explicitly aimed at reducing the consumption of cheap wine products from October 2018. We aimed to assess the impact of the NT MUP on estimates of beverage‐specific population‐adjusted alcohol consumption using wholesale alcohol supply data. Interrupted time series analyses were conducted to examine MUP effects on trends in estimated per capita alcohol consumption (PCAC) for cask wine, total wine and total alcohol, across the NT and in the Darwin/Palmerston region. Significant step decreases were found for cask wine and total wine PCAC in Darwin/Palmerston and across the Northern Territory. PCAC of cask wine decreased by 50.6% in the NT, and by 48.8% in Darwin/Palmerston compared to the prior year. PCAC for other beverages (e.g. beer) were largely unaffected by MUP. Overall, PCAC across the Territory declined, but not in Darwin/Palmerston. With minimal implementation costs, the Northern Territory Government's MUP policy successfully targeted and reduced cask wine and total wine consumption. Cask wine, in particular, almost halved in Darwin/Palmerston where the impact of the MUP was able to be determined and considering other interventions. Implementation of a minimum unit price for retail alcohol sales is a cost‐effective way to reduce the consumption of high alcohol content and high‐risk products, such as cheap cask wine.

Globally, almost four and a half million people died from injury in 2019. Alcohol’s contribution to injury-related premature loss of life, disability and ill-health is pervasive, touching individuals, families and societies throughout the world. We conducted a review of research evidence for alcohol’s causal role in injury by focusing on previously published systematic reviews, meta-analyses and where indicated, key studies. The review summarises evidence for pharmacological and physiological effects that support postulated causal pathways, highlights findings and knowledge gaps relevant to specific forms of injury (i.e., violence, suicide and self-harm, road injury, falls, burns, workplace injuries) and lays out options for evidence-based prevention.

Background Population estimates of alcohol consumption vary widely among samples of Aboriginal and Torres Strait Islander (Indigenous) Australians. Some of this difference may relate to non-representative sampling. In some communities, household surveys are not appropriate and phone surveys not feasible. Here we describe activities undertaken to implement a representative sampling strategy in an urban Aboriginal setting. We also assess our likely success. Methods We used a quota-based convenience sample, stratified by age, gender and socioeconomic status to recruit Indigenous Australian adults (aged 16+) in an urban location in South Australia. Between July and October 2019, trained research staff ( n  = 7/10, Aboriginal) recruited community members to complete a tablet computer-based survey on drinking. Recruitment occurred from local services, community events and public spaces. The sampling frame and recruitment approach were documented, including contacts between research staff and services, and then analysed. To assess representativeness of the sample, demographic features were compared to the 2016 Australian Bureau of Statistics Census of Population and Housing. Results Thirty-two services assisted with data collection. Many contacts (1217) were made by the research team to recruit organisations to the study (emails: n  = 610; phone calls: n  = 539; texts n  = 33; meetings: n  = 34, and one Facebook message). Surveys were completed by 706 individuals – equating to more than one third of the local population (37.9%). Of these, half were women (52.5%), and the average age was 37.8 years. Sample characteristics were comparable with the 2016 Census in relation to gender, age, weekly individual income, Indigenous language spoken at home and educational attainment. Conclusion Elements key to recruitment included: 1) stratified sampling with multi-site, service-based recruitment, as well as data collection events in public spaces; 2) local services’ involvement in developing and refining the sampling strategy; and 3) expertise and local relationships of local Aboriginal research assistants, including health professionals from the local Aboriginal health and drug and alcohol services. This strategy was able to reach a range of individuals, including those usually excluded from alcohol surveys (i.e. with no fixed address). Carefully pre-planned stratified convenience sampling organised in collaboration with local Aboriginal health staff was central to the approach taken.

Aim. To precisely estimate the effect of age on the risk of fracture hospitalisation among the Western Australia population over the life course. Methods. This population-based cohort study used hospital data on fractures for the period January 1991 to January 2013 among Western Australians born between 1915 and 1990. Results. The average incidence rates (per 10,000 person-years) of fracture hospitalisation (95% confidence interval) were 50.12 (49.90, 50.35), 55.14 (54.82, 55.48), and 45.02 (44.71, 45.32) for both males and females, males only, and females only, respectively. The age-specific rate of fracture hospitalisation (in natural logarithm form) in adults (>18 years) was well predicted by age at its 1st, 2nd, and 3rd power in males with an adjusted R -squared of 0.98 and p < 0.001 . For females, the trend was also well predicted by its 1st and 2nd powers (the 3rd power term of age was removed due to its p value > 0.8) with an adjusted R -squared of 0.99 and p < 0.001 . Conclusions. Overall trends in age and gender specific risk of fracture among the Western Australian population were similar to estimates reported from previous studies. The trend in fracture hospitalisation risk over the life course can be almost fully explained by age.

To assist intervention developers assess the likely effectiveness of messages designed to encourage greater use of protective behavioral strategies, this study developed and tested the Alcohol Message Perceived Effectiveness Scale (AMPES). Recommendations from the message effectiveness literature were used to guide AMPES development. The resulting scale was administered in online surveys at two time points to Australian drinkers aged 18–70 years (3001 at Time 1 and 1749 at Time 2). An exploratory factor analysis identified the presence of two factors (‘effect perceptions’ and ‘message perceptions’) that accounted for 71% of the variance in scores. Internal consistency of scores was good for the overall scale (ω = 0.83) and ‘effect perceptions’ factor (ω = 0.85), but suboptimal for the ‘message perceptions’ factor (α = 0.60). Scores on both factors significantly predicted enactment of protective behavioral strategies. The AMPES appears to be an appropriate tool to assess perceived message effectiveness and assist in the development of public health messages designed to reduce alcohol consumption.

To measure the degree and direction of errors in recall of age at first sex. Participants were initially recruited in 1994-1995 (Wave I) with 3 subsequent follow-ups in: 1996 (Wave II); 2001- 2002 (Wave III); and 2007-2008 (Wave IV). Participants' individual errors in recall of their age at first sex at Wave IV were estimated by the paired difference between responses given for age at first sex in Wave I and Wave IV (recalled age at first sex obtained at Wave IV minus the age at first sex obtained at Wave I). The mean of the recall-estimation of age at first sex at Wave IV was found to be slightly increased comparing to the age at first sex at Wave I (less than 1 year). The errors in the recalled age at first sex tended to increase in participants who had their first sex younger or older than the average, and the recalled age at first sex tended to bias towards the mean (i.e. participants who had first sex younger than the average were more likely to recall an age at first sex that was older than the age, and vice versa). In this U.S. population-based sample, the average recall error for age at first sex was small. However, the accuracy of recalled information varied significantly among subgroup populations.

Background Government alcohol monopolies were created in North America and Scandinavia to limit health and social problems. The Swedish monopoly, Systembolaget, reports to a health ministry and controls the sale of all alcoholic beverages with > 3.5% alcohol/volume for off-premise consumption, within a public health mandate. Elsewhere, alcohol monopolies are being dismantled with evidence of increased consumption and harms. We describe innovative modelling techniques to estimate health outcomes in scenarios involving Systembolaget being replaced by 1) privately owned liquor stores, or 2) alcohol sales in grocery stores. The methods employed can be applied in other jurisdictions and for other policy changes. Methods Impacts of the privatisation scenarios on pricing, outlet density, trading hours, advertising and marketing were estimated based on Swedish expert opinion and published evidence. Systematic reviews were conducted to estimate impacts on alcohol consumption in each scenario. Two methods were applied to estimate harm impacts: (i) alcohol attributable morbidity and mortality were estimated utilising the International Model of Alcohol Harms and Policies (InterMAHP); (ii) ARIMA methods to estimate the relationship between per capita alcohol consumption and specific types of alcohol-related mortality and crime. Results Replacing government stores with private liquor stores (Scenario 1) led to a 20.0% (95% CI, 15.3–24.7) increase in per capita consumption. Replacement with grocery stores (Scenario 2) led to a 31.2% (25.1–37.3%) increase. With InterMAHP there were 763 or + 47% (35–59%) and 1234 or + 76% (60–92%) more deaths per year, for Scenarios 1 and 2 respectively. With ARIMA, there were 850 (334–1444) more deaths per year in Scenario 1 and 1418 more in Scenario 2 (543–2505). InterMAHP also estimated 10,859 or + 29% (22–34%) and 16,118 or + 42% (35–49%) additional hospital stays per year respectively. Conclusions There would be substantial adverse consequences for public health and safety were Systembolaget to be privatised. We demonstrate a new combined approach for estimating the impact of alcohol policies on consumption and, using two alternative methods, alcohol-attributable harm. This approach could be readily adapted to other policies and settings. We note the limitation that some significant sources of uncertainty in the estimates of harm impacts were not modelled.