To test a hypothesized model of the effect of televised alcohol advertising and allegiance to specific brands of beer on subsequent beer consumption and self-reports of aggressive behaviour linked with drinking.
Structural equation modelling was used to assess the fit between data collected as part of a longitudinal study of young people's health and development and a hypothesized model based on theoretical perspectives and previous research.
A birth cohort has been assessed every few years, most of them in their home city of Dunedin, New Zealand. The questions about alcohol are asked as part of the day-long assessment.
Members of a longitudinal survey cohort at ages 18 and 21 years. Data from 630 beer drinking participants were analysed in this study.
Responses to questions about beer consumption, liking for advertising, favourite brand of beer and self-reports of alcohol-related aggressive behaviour.
Our hypothesized model assumed a positive impact of liking of alcohol advertising and brand allegiance at age 18 on the volume of beer consumed at age 21 and self-reports of alcohol-related aggressive behaviour. This was found to be a good fit to the data from the longitudinal study.
This measurable impact of alcohol advertising occurred during a time of decline in aggregate alcohol in New Zealand. While this effect was not large enough to halt the decline in aggregate alcohol consumption it does indicate a measurable, specific impact of broadcast alcohol advertising on alcohol consumption and related behaviour which is of relevance for public health policy.
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2015.
All research outputs
#2,480,284
of 26,512,053 outputs
Outputs from Addiction
#1,636
of 6,294 outputs
Outputs of similar age
#3,217
of 128,364 outputs
Outputs of similar age from Addiction
#34
of 345 outputs
Altmetric has tracked 26,512,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 128,364 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.
