MétaCan
Menu
Back to cohort
Record W3127349286 · doi:10.26443/mjm.v8i1.512

Level of abstinence mediates heart-rate response to cue-elicited craving in smokers

2020· article· en· W3127349286 on OpenAlexaffvenue
Jared T. Kelly, Sean P. Barrett, Robert O. Pihl, Alain Dagher

Bibliographic record

VenueMcGill Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMcGill University
Fundersnot available
KeywordsCravingAbstinenceNicotineCue reactivityHeart rateMedicineReinforcementSmoking cessationAudiologyPsychologyClinical psychologyPsychiatryInternal medicineAddictionBlood pressureSocial psychology

Abstract

fetched live from OpenAlex


 
 
 
 The subjective and autonomic components of nicotine craving were examined in abstinent and non-abstinent smokers using a cue reactivity paradigm. A cigarette abstinent condition was used to examine how smoking deprivation mediates the activity of positive and negative reinforcement mechanisms. Levels of craving and physiologic responses were monitored during the presentation of videotaped neutral and smoking stimuli. Relative to the neutral material, smoking stimuli increased several indices of subjective craving in both abstinent and non-abstinent smokers. Autonomic responses to the smoking stimuli however, appeared to be mediated by the level of abstinence. Non-deprived smokers showed an increase in heart rate during the first minute of the smoking stimuli presentation relative to the first minute of the control video, while abstinent smokers showed no change. The autonomic responses of cigarette craving may be dependent on the perceived reinforcing value of cigarettes, which can be modulated by cigarette abstinence. These findings are consistent with the hypothesis that increased heart rate may be a marker for incentive motivation, but also strongly support a multi-dimensional model of nicotine craving. Furthermore, they stress the importance of recognising the condition of the smoker as a critical determinant in craving responses.
 
 
 

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)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.123
GPT teacher head0.336
Teacher spread0.212 · 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 designBench or experimental
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

Citations3
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueMcGill Journal of MedicineSame topicHeart Rate Variability and Autonomic ControlFrench-language works237,207