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Record W3029848086 · doi:10.1080/10826084.2020.1771595

Working Memory and Response Inhibition Effects on At-Risk Youth’s Willingness to Use Multiple Nicotine and Tobacco Products

2020· article· en· W3029848086 on OpenAlexaff
Maya A. Pilin, James Russell Pike, Bin Xie, Alan W. Stacy

Bibliographic record

VenueSubstance Use & Misuse · 2020
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsWorking memoryNicotinePsychologyResponse inhibitionExecutive functionsMemory spanCued speechCognitionTobacco useDevelopmental psychologyClinical psychologyMedicineEnvironmental healthCognitive psychologyPsychiatry

Abstract

fetched live from OpenAlex

Purpose: Past research has suggested that executive functions, such as working memory and response inhibition, predict the use of nicotine and tobacco products (NTPs). The current study extends prior research by assessing whether response inhibition and working memory are associated with at-risk youth’s willingness to use NTPs. Methods: A sample of 1060 at-risk youth were recruited from alternative high schools in southern California. Participants were randomly assigned to complete the Symmetry Span Task, an indicator of working memory ability, or the cued Go/No-Go task, an indicator of response inhibition. Participants who reported never using NTPs (n = 348) indicated how willing they would be try NTPs. Results: Results from a cross-sectional zero-inflated negative binomial (ZINB) regression suggest that females with stronger working memory skills and individuals with weaker response inhibition skills were more likely to be unwilling to use NTPs. Conclusion: While further research is needed to determine whether executive functions can prospectively predict NTP use among at-risk youth, the current study indicates that both working memory and response inhibition may play a significant role.

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)0.002
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 score0.127
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.054
GPT teacher head0.265
Teacher spread0.211 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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