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Record W2058663886 · doi:10.1111/add.12178

Misleading <scp>UK</scp> alcohol industry criticism of <scp>C</scp>anadian research on minimum pricing

2013· letter· en· W2058663886 on OpenAlexafffundabout
Tim Stockwell, Jinhui Zhao, Gina Martin, Scott Macdonald, Kate Vallance, Andrew J. Treno, William R. Ponicki, Andrew W. Tu, Jane A. Buxton

Bibliographic record

VenueAddiction · 2013
Typeletter
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsBC Centre for Disease ControlUniversity of Victoria
FundersCanadian Institutes of Health Research
KeywordsCriticismPopulationDemographyAddictionMedicinePublishingAdvertisingPublic healthPsychologyEnvironmental healthBusinessPolitical sciencePsychiatryLawSociology

Abstract

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We would like to respond to criticism of our research by the UK Wine and Spirit Trade Association 1, a UK alcohol industry trade magazine 2 and the Scotch Whisky Association 3. Our study, published recently in Addiction 4, reported a significant negative association between minimum alcohol prices and rates of wholly alcohol-caused deaths. We are accused of misleading the public by reporting false estimates of the effects of minimum price changes on rates of death estimated ‘hypothetically’ to be caused by alcohol and not ‘real deaths’ such as those we report on our own website 5-7. We are also charged with publishing results which contradict official trends in alcohol-related deaths in British Columbia (BC), the Canadian province on which our research has focused. Finally, it is claimed that minimum pricing in Canada bears no relation to what is being proposed for the United Kingdom. Our critics highlight small increases in the numbers of alcohol-related deaths for BC between 2002 and 2009 (from 1073 to 1169) reported on our website 5, 7, which they describe as ‘real’ deaths 2. In fact, these numbers of deaths are estimated using the attributable fraction method, a method our detractors describe as ‘hypothetical’. The population of BC has been rising fairly fast, so that age- and sex-standardized rates of these estimated deaths actually fell during this period, from 25 to 24 per 100 000 residents 5, 6. Furthermore, the main results highlighted in our Addiction paper did not require the use of attributable fractions because they concern causes of death that are wholly alcohol-attributable, e.g. alcohol poisoning, alcoholic gastritis, alcoholic cardiomyopathy. Figure 1 below reports trends for the two main variables used in our analyses. One line shows age- and sex-standardized rates of death that, according to the BC Statistics Agency, were caused wholly by alcohol. The second line shows changes in the inflation-adjusted average minimum price for all alcohol sold in BC calculated as dollars per Canadian standard drink (=13.45 g of ethanol, somewhat larger than a UK ‘unit’ of 8 g). It can be seen that in the first 4 years rates of death were increasing, while average minimum prices were decreasing relative to inflation. In 2006 there was a marked increase in minimum price which was associated with a marked drop in the rate of wholly alcohol-caused deaths. A significant negative association was found between these two variables in our original analysis 4, from which we estimated that a 10% increase in the average minimum price of alcohol would be associated with a 32% decrease in wholly alcohol-caused deaths. We could equally well have said that a 10% decrease in minimum price would be associated with a 32% increase in wholly alcohol-related deaths. The Pearson coefficient of correlation between the minimum price and wholly alcohol-caused deaths was −0.504, (P < 0.010). Details of the methods involved in estimating rates of death and average minimum prices can be found in our original paper 4. Rates of 100% alcohol-attributable deaths and Consumer Price Index (CPI)-adjusted minimum alcohol prices in British Columbia, 2002–2009 Canada is one of a handful of countries to have already implemented minimum alcohol prices. In several provinces, including BC where our study was conducted, much of the alcohol is sold in some form of private liquor store. In BC there are also a small number of government-owned liquor stores which are different only in that they are usually larger and are open for slightly shorter hours. It is likely that the consumer's experience of purchasing alcohol for off-premise consumption is very similar in Canada and the United Kingdom, and they are similarly responsive to changes in retail prices. In summary, the criticisms of our research from these alcohol industry sources have no foundation. Minimum alcohol prices and rates of wholly alcohol-caused (‘real’) deaths were associated significantly and strongly negatively in BC during the time-period of our study. When the value of minimum prices fell with inflation, deaths tended to increase. When minimum price rates were increased by the government, there was an associated decrease in these deaths. We also report delayed effects 2–3 years after minimum price changes on rates of serious diseases attributable to alcohol. We believe that these findings have wide relevance to other jurisdictions, where consideration is being given to using minimum pricing as a strategy to reduce alcohol-related deaths, injuries and illnesses. They are a small part of a much wider literature connecting alcohol prices and availability to public health outcomes 8. None to declare. We are grateful to Paul Gruenewald and Thomas Babor for comments on an earlier draft of this letter. Funding was provided by Canadian Institutes for Health Research Operating Grant #102627 ‘Does minimum pricing reduce the burden of injury and illness attributable to alcohol?’ (Principle Investigator: Tim Stockwell).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.172
GPT teacher head0.410
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2013
Admission routes3
Has abstractyes

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