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Record W2060892636 · doi:10.1080/14622200701239621

Anxiety sensitivity and early relapse to smoking: A test among Mexican daily, low-level smokers

2007· article· en· W2060892636 on OpenAlexaff
Michael J. Zvolensky, Amit Bernstein, Samuel Jurado Cárdenas, Víctor A. Colotla, Erin A. Marshall, Matthew T. Feldner

Bibliographic record

VenueNicotine & Tobacco Research · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWorkers Compensation Board of British Columbia
FundersNational Institute on Drug AbuseNational Institute of Mental Health
KeywordsAnxiety sensitivityNegative affectivityAnxietyClinical psychologyPsychologySocial anxietyPsychiatryYoung adultSmoking cessationMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

The aim of the present investigation was to extend previous work on anxiety sensitivity (AS) and early smoking relapse among a sample of 130 (74 females) young adult (M (age) = 22.5 years, SD = 2.1) daily low-level smokers (9.3 cigarettes/day, SD = 11.5) from Mexico City, Mexico. Results indicated that of the global-level and lower-order factors (i.e., physical, mental incapacitation, and social concerns) on the Anxiety Sensitivity Index, only the physical concerns factor was significantly related to early lifetime smoking relapse. This effect was observed above and beyond the effects of negative affectivity, cigarettes smoked per day, and alcohol consumption, as well as beyond the other AS mental and social concerns factors. Findings provide novel evidence that AS is an important explanatory construct in early smoking relapse.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.357
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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

Citations85
Published2007
Admission routes1
Has abstractyes

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