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Record W4404084995 · doi:10.1111/add.16704

Commentary on Andreacchi <i>et al</i>.: Policy responses to shifting epidemiological trends in alcohol use in Canada

2024· article· en· W4404084995 on OpenAlexaffabout
Carolin Kilian, Charlotte Probst

Bibliographic record

VenueAddiction · 2024
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute on Alcohol Abuse and AlcoholismOffice of the National Coordinator for Health Information TechnologyNational Institutes of Health
KeywordsEpidemiologyMedicinePsychologyEnvironmental health

Abstract

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This commentary examines the public health relevance of age, period and cohort effects in heavy episodic drinking in Canada, focusing on socio-economic inequalities and policy implications. It highlights the paradox between observed socio-economic gradients and persistent disparities in alcohol-attributable harm, and contextualizes these findings within the current Canadian policy environment. In their recent study, Andreacchi and colleagues [1] disentangle epidemiological trends in heavy episodic drinking (HED) by age, period and birth cohort, as well as by sex/gender and socio-economic position (SEP) among Canadian adults. Two indicators of SEP were examined, education and household income, and these yielded two distinct socio-economic patterns. These patterns reflect a heterogeneous picture that is often observed when examining trends in alcohol use by different indicators of SEP and highlight the importance of acknowledging their differences. The observed income gradient in HED prevalence (i.e. higher prevalences with higher incomes) mirrors the financial resources individuals have available for purchasing alcoholic beverages. Compared to those with low incomes, individuals with high incomes spent a lower proportion of their income on each unit of alcohol, making it more affordable. Education, on the other hand, comprises other aspects potentially underlying drinking decisions, such as drinking opportunities, drinking culture or health literacy, leading to a less distinct socio-economic pattern and additional differences by sex/gender. In Canada and elsewhere, low-SEP individuals experience considerably higher alcohol-attributable mortality compared to those with high SEP [2]. This has been observed for both education and income measures [3, 4] and linked to HED [5]. It is thus remarkable that Andreacchi and colleagues did not find corresponding gradients in HED prevalence. On the contrary, HED was found to be lowest in the low-income group, while there was no clear gradient for education. To this end, it should be noted that the HED prevalence presented in this study refers to the entire population. Previous studies, looking at current alcohol users only, found an inverse relationship between SEP and HED [6, 7], indicating a more polarized consumption pattern in low-SEP individuals (i.e. higher prevalences of both abstinence and HED). Moreover, measurement limitations are likely to bias the observed socio-economic patterns. We need to acknowledge that surveys are limited in their ability to reach low-SEP and high-risk drinking groups due to self-selection conditional on alcohol use and SEP, as well as sampling frames excluding very specific populations, such as institutionalized individuals [8]. Andreacchi and colleagues further found a marked drop in the HED prevalence among all income and education levels in the youngest birth cohort (1990–2009), with the low-education group having the lowest prevalence [1]. Although it remains inconclusive whether this trend and shift in education patterns will continue in younger birth cohorts, it is important to explore possible drivers, such as a potential loss of status of drinking alcohol among the youngest cohorts, as has been observed in European countries [9]. However, the declines may be short-lived, given Canada's recent progression towards liberalization of alcohol policies [10]. Due to privatization of alcohol retailing in several provinces [11] and a general trend towards looser pricing regulations [10], Canada's formerly strict alcohol control framework has become increasingly liberal over the past decades. This erosion of alcohol policies may very well be reflected in increasing alcohol-related harms in the near future. Furthermore, despite declines in HED among men and the youngest birth cohort, this drinking pattern remains prevalent in Canada, with one in 10 women and one in five men engaging in HED in 2021 [1]. There are several alcohol policy options available to address HED and the unequal health burden related to it. Pricing policies in particular are not only highly cost-effective in lowering overall alcohol use, but may also result in greater health benefits in low-SEP groups and high-risk alcohol users, who would be most affected by lower alcohol affordability through higher beverage prices [12]. Moreover, beverage-specific excise duties can target alcohol use in high-risk population by levying higher excise taxes on alcoholic beverages that are either most consumed in these groups or known to be linked to greater health risks. For example, spirits have been found to be preferably consumed in low-SEP and high-risk drinking groups [13] and associated with health harms linked to HED [14]. Against Canada's progressive alcohol policy liberalization, policy responses to address individuals engaging in HED and bearing a disproportionate alcohol-attributable health burden are required. Detailed epidemiological trend analysis, as conducted by Andreacchi and colleagues, provides important insights to identify relevant population groups and emerging trends. Carolin Kilian: Conceptualization (lead); writing—original draft (lead); writing-review & editing (equal). Charlotte Probst: Conceptualization (supporting); writing-review & editing (equal). Both authors have equally contributed to the writing during the review & editing process. This article was funded by the US Department of Health and Human Services, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism R01AA028009. The authors have no financial or other relevant links to companies with an interest in the topic of this article. N/A.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.355
Teacher spread0.293 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes2
Has abstractyes

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