Introduction: The price of alcoholic beverages can vary for a range of reasons, including tax. Risky drinkers purchase more low-cost alcoholic drinks than moderate drinkers, contributing to beverage-specific risks for that category. The study aimed to examine the proportion of total alcohol consumption comprised by each beverage type and their correlates. Australian and New Zealand populations were compared, where drinking cultures are similar, but taxation of alcohol differs.
Method: Data was taken from the International Alcohol Control study in Australia (N=1580) and New Zealand (N =1979), a cross national survey that asks questions on beverage specific alcohol consumption at a range of different locations. Tax rates were obtained from previous analyses run on the dataset.
Results: Ready to Drink (pre-mixed) beverages are more popular in New Zealand and the proportion of these drinks consumed out of total alcohol consumption by risky drinkers was correspondingly higher there. Conversely, the proportion of wine consumed by risky drinkers was higher in Australia. The consumption of spirits and beer by risky drinkers was similar in both countries.
Discussion: Differences found for the proportion of beverages consumed by risky drinkers between the countries are fairly well aligned with differences in the taxation of each drink type. Future adaptations in taxation systems should consider the impact of taxes on preferential beverage choice and associated harms.
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http://dx.doi.org/10.1016/j.drugpo.2023.104047 | DOI Listing |
JMIR Form Res
December 2024
Department of Information Science, Cornell University, New York, NY, United States.
Background: Digital and wearable intervention systems promise to improve how people manage their behavioral health conditions by making interventions available when the user can best benefit from them. However, existing interventions are obtrusive because they require attention and motivation to engage in, limiting the effectiveness of such systems in demanding contexts, such as when the user experiences alcohol craving. Mindless interventions, developed by the human-computer interaction community, offer an opportunity to intervene unobtrusively.
View Article and Find Full Text PDFNutr Health
December 2024
School of Health Sciences and Social Work, Griffith University, Gold Coast, QLD, Australia.
Young Australian drinkers (aged 18-24 years) are more likely to consume alcohol at risky levels than any other age group. The increased availability and diversity of low alcohol beverages (LAB)s available to Australian consumers presents an opportunity for young drinkers to moderate their drinking behaviours. To explore young risky drinkers' awareness, perceptions and behaviours towards LAB products.
View Article and Find Full Text PDFSubst Use Misuse
December 2024
INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Sorbonne Université, Paris, France.
J Stud Alcohol Drugs
November 2024
Section of Sensory Science and Metabolism, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, 20892, USA.
Objective: An inability to correctly perceive chemosensory stimuli can lead to a poor quality of life. Such defects can be concomitant with excess alcohol consumption, but a large-scale cohort study linking these effects is lacking. This study aimed to investigate the impact of chronic alcohol consumption on chemosensory function by analyzing data from the NHANES 2013-2014, involving 395 participants categorized by alcohol intake behavior: 219 no-intake, 136 light-intake, and 40 risky-intake groups.
View Article and Find Full Text PDFAust J Gen Pract
November 2024
MBBS, PhD, School of Medicine Sydney (Rural Clinical School), The University of Notre Dame Australia, Wagga Wagga, NSW.
Background And Objectives: This study describes the prevalence of risky alcohol consumption in Australian women aged 40-45 years. It explores the relationship between demographic factors and access to and usage of primary healthcare services.
Method: Data were obtained from the Australian Longitudinal Study on Women's Health, Survey 8 (1973-78 cohort).
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