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Record W2167782200 · doi:10.1017/jsc.2014.2

The Effect of Acute Exercise on Smoking Topography: No Evidence for Cutting Down One Puff at a Time

2014· article· en· W2167782200 on OpenAlexaff
Terri Schneider, Stefanie De Jesus, Harry Prapavessis

Bibliographic record

VenueThe Journal of Smoking Cessation · 2014
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsWestern University
Fundersnot available
KeywordsAbstinenceMedicineSmoking cessationCravingPhysical therapyCigarette smokingSittingSmokeInternal medicinePsychiatryAddiction

Abstract

fetched live from OpenAlex

Recent systematic reviews have concluded that a single session of exercise ameliorates cravings and tobacco withdrawal symptoms; however, smoking behaviour (topography) has not been adequately addressed in the literature. This study examined the effect of an acute bout of exercise on smoking topography following a temporary period of smoking abstinence. Forty-eight adult smokers ( N female = 34, M age = 43.14), who had been smoking for an average of 23.90 years, were randomised to an acute (10 minutes) bout of exercise ( N = 23) or passive sitting (control) group. Cigarette cravings were assessed at baseline and immediately pre and post treatment condition during a 15-hour smoking abstinence period. Smoking topography which included puff count, puff volume, puff duration, inter-puff interval, and total cigarette duration was assessed at baseline and post treatment. Although exercise reduced cravings, compared to the control group, smoking topography remained unchanged across time between groups. Furthermore, craving reduction was unrelated to any smoking topography variables. Although there is evidence that exercise can delay time to first cigarette, this study demonstrates that the change to smoking topography is negligible when participants are invited to smoke.

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)0.006
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 score0.238
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 head0.027
GPT teacher head0.315
Teacher spread0.288 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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