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Record W2048947995 · doi:10.1108/17473610810920498

Alcohol consumption among young consumers: a review and recommendations

2008· review· en· W2048947995 on OpenAlexaffabout
Magdalena Cismaru, Anne M. Lavack, Evan Markewich

Bibliographic record

VenueYoung Consumers Insight and Ideas for Responsible Marketers · 2008
Typereview
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsConsumption (sociology)Alcohol consumptionEnvironmental healthPsychologyMedicineAlcoholSociologyChemistry

Abstract

fetched live from OpenAlex

Purpose This paper aims to examine social marketing programs aimed at preventing or moderating alcohol consumption among young consumers. It seeks to show how protection motivation theory can be used as a theoretical framework to create effective communications targeting young people. Design/methodology/approach Communication materials aimed at preventing or moderating alcohol consumption among young people were identified and gathered from web sites in five English‐speaking countries (USA, Canada, Australia, New Zealand, and the UK). A qualitative review of these materials was conducted. Findings A majority of the alcohol moderation/prevention campaigns targeting young consumers followed the tenets of protection motivation theory by focusing on the threat variables of severity and vulnerability. Some campaigns also focused on costs, as well as self‐efficacy and response efficacy. Research limitations/implications Only English‐language materials and materials targeting young consumers have been considered, so findings cannot necessarily be generalized to other languages or countries. Practical implications Future youth alcohol moderation/prevention initiatives should include self‐efficacy messages, to increase confidence among young people that they are able to carry out the recommended actions. Originality/value The review presents a comprehensive examination of initiatives aimed at preventing/reducing alcohol consumption among young consumers, and shows how protection motivation theory can be successfully used in this context.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.063
GPT teacher head0.354
Teacher spread0.291 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueYoung Consumers Insight and Ideas for Responsible MarketersSame topicSubstance Abuse Treatment and OutcomesFrench-language works237,207