Alcohol and burden of disease in Australia: the challenge in assessing consumption

Abstract Objective: Alcohol consumption is one of the major avoidable risk factors for disease, illness and injury in the Australian community. Population health scientists and economists use estimates of alcohol consumption in burden of disease frameworks to estimate the impact of alcohol on disease, illness and injury. This article highlights challenges associated with estimating alcohol consumption in these models and provides a series of recommendations to improve estimates. Methods: Key challenges in measuring alcohol consumption at the population level are identified and discussed with respect to how they apply to burden of disease frameworks. Results: Methodological advances and limitations in the estimation of alcohol consumption are presented with respect to use of survey data, population distributions of alcohol consumption, consideration of ‘patterns’ of alcohol use including ‘bingeing’, and capping exposure. Key recommendations for overcoming these limitations are provided. Implications and conclusion: Alcohol‐related burden has a significant impact on the health of the Australian population. Improving estimates of alcohol related consumption will enable more accurate estimates of this burden to be determined to inform future alcohol policy by legislators

Ecstasy use and self-reported disturbances in sleep

Objective Ecstasy users report a number of complaints after its use including disturbed sleep. However, little is known regarding which attributes of ecstasy use are associated with sleep disturbances, which domains of sleep are affected or which factors may predict those ecstasy users likely to have poor sleep quality and/or excessive daytime sleepiness. Methods This study examined questionnaire responses of social drug users (n = 395) to the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale. Results A significant proportion of ecstasy users (69.5%) had Pittsburgh Sleep Quality Index scores above the threshold used to identify sleep disturbance. Although frequency of ecstasy use did not affect the degree of reported sleep disturbance, participants who used larger amounts of ecstasy had poorer sleep. In addition, participants who perceived harmful consequences arising from their ecstasy use or had experienced remorse following ecstasy use had poorer sleep. Clinically relevant levels of sleep disturbance were still evident after controlling for polydrug use. Risk factors for poor sleep quality were younger age, injury post-ecstasy use and having been told to cut down on ecstasy use. Conclusions Many ecstasy users report poor sleep quality, which likely contributes to the negative effects reported following ecstasy use

Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data

Alcohol harms are often determined using a proxy measure based on temporal patterns during the week when harms are most likely to occur. This study utilised coded Australian ambulance data from the Victorian arm of the National Ambulance Surveillance System (NASS) to investigate temporal patterns across the week for alcohol-related ambulance attendances in 2019. These patterns were examined by season, regionality, gender, and age group. We found clear temporal peaks: from Friday 6:00 p.m. to Saturday 3:59 a.m. for both alcohol-involved and alcohol-intoxication-related attendance, from Saturday 6:00 p.m. to Sunday 4:59 a.m. for alcohol-involved attendances, and from Saturday 5:00 p.m. to Sunday 4:49 a.m. for alcohol-intoxication-related attendances. However, these temporal trends varied across age groups. Additionally, hours during Thursday and Sunday evenings also demonstrated peaks in attendances. There were no substantive differences between genders. Younger age groups (18–24 and 25–29 years) had a peak of alcohol-related attendances from 7:00 p.m. to 7:59 a.m. on Friday and Saturday nights, whereas the peak in attendances for 50–59 and 60+ years was from 5:00 p.m. to 2:59 a.m. on Friday and Saturday nights. These findings further the understanding of the impacts of alcohol during different times throughout the week, which can guide targeted policy responses regarding alcohol use and health service capacity planning