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Record W2415428205

Intention to quit betel quid: a comparison of betel quid chewers and cigarette smokers.

2014· article· en· W2415428205 on OpenAlex
Melissa A. Little, Pallav Pokhrel, Kelle L. Murphy, Crissy T. Kawamoto, Gil S Suguitan, Thaddeus A. Herzog

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsMedicineBetelPsychological interventionEnvironmental healthTraditional medicineDentistryPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the global significance of betel quid chewing and the associated health risks, there have been no studies assessing chewers' intention to quit. Given the difficulties associated with quitting betel quid and the serious health consequences of chewing, it is important for researchers to develop interventions aimed at helping chewers quit. Betel quid chewers experience similar patterns of dependence and withdrawal symptoms as tobacco smokers, and the use of both substances causes serious adverse health effects. Therefore, it is possible that intention to quit betel quid and tobacco would also be similar. If similarities were found, researchers could look to existing tobacco cessation interventions to inform the development of betel quid cessation interventions. In the current study we sought to understand chewers' intention to quit and how it compares to smokers' intention to quit cigarettes. METHODS: A total of 351 adult betel quid chewers from Guam were compared against 1,555 adult tobacco users from Hawaii. These comparisons were made possible because of the deliberate use of identical questionnaire items (mutatis mutandis) for betel quid chewing and cigarette smoking. RESULTS: Smokers reported higher levels of wanting to quit, intending to quit, and wishing they have never started in the first place compared to chewers (p's<.0001). There were no differences across groups with regard to having a plan for how to quit and when to quit, with half of the samples reporting not having a plan for how or when to quit. CONCLUSION: Both smokers and chewers want to quit and intend to quit, but do not have plans of when or how to quit. A deeper understanding of chewers' intention to quit and its similarities to smokers' intention to quit could be used to inform the development of betel quid cessation interventions.

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.

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)0.000
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 score0.111
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.045
GPT teacher head0.315
Teacher spread0.270 · 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