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Record W645149103 · doi:10.1016/j.jegh.2015.05.004

Can pricing deter adolescents and young adults from starting to drink: An analysis of the effect of alcohol taxation on drinking initiation among Thai adolescents and young adults

2015· article· en· W645149103 on OpenAlexafffund
Bundit Sornpaisarn, Kevin D. Shield, Joanna E Cohen, Robert Schwartz, Jürgen Rehm

Bibliographic record

VenueJournal of Epidemiology and Global Health · 2015
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsPublic Health OntarioUniversity of TorontoCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchPan American Health OrganizationThai Health Promotion FoundationOntario Ministry of Health and Long-Term CareWorld Health Organization
KeywordsMedicineConfoundingYoung adultCohortEnvironmental healthDemographyCohort studyAlcoholInjury preventionAlcohol consumptionPoison controlGerontology

Abstract

fetched live from OpenAlex

The objective of this study is to assess the relationship between alcohol taxation changes and drinking initiation among adolescents and young adults (collectively "youth") in Thailand (a middle-income country). Using a survey panel, this study undertook an age-period-cohort analysis using four large-scale national cross-sectional surveys of alcohol consumption performed in Thailand in 2001, 2004, 2007 and 2011 (n=87,176 Thai youth, 15-24 years of age) to test the hypothesis that changes in the inflation-adjusted alcohol taxation rates are associated with drinking initiation. Regression analyses were used to examine the association between inflation-adjusted taxation increases and the prevalence of lifetime drinkers. After adjusting for potential confounders, clear cohort and age effects were observed. Furthermore, a 10% increase of the inflation-adjusted taxation rate of the total alcohol market was significantly associated with a 4.3% reduction in the prevalence of lifetime drinking among Thai youth. In conclusion, tax rate changes in Thailand from 2001 to 2011 were associated with drinking initiation among youth. Accordingly, increases in taxation may prevent drinking initiation among youth in countries with a high prevalence of abstainers and may reduce the harms caused by alcohol.

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)0.001
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 score0.009
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.031
GPT teacher head0.352
Teacher spread0.321 · 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

Citations26
Published2015
Admission routes2
Has abstractyes

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