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Record W1989673428 · doi:10.1080/14622200802239140

Can young adult smoking status be predicted from concern about body weight and self-reported BMI among adolescents? Results from a ten-year cohort study

2008· article· en· W1989673428 on OpenAlexaffabout
John J. Koval, Linda L. Pederson, Xiaohe Zhang, Paul Mowery, Mary McKenna

Bibliographic record

VenueNicotine & Tobacco Research · 2008
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of New BrunswickMcMaster UniversityPopulation Health Research InstituteHamilton General HospitalWestern University
FundersNational Cancer Institute
KeywordsOverweightBody mass indexYoung adultMedicineOddsDemographyCohort studyCigarette smokingLongitudinal studyCohortOdds ratioObesityGerontologyLogistic regression

Abstract

fetched live from OpenAlex

We sought to evaluate the relationship between the perception of being overweight and BMI (body mass index) when participants were adolescents and their cigarette smoking as young adults. In 1993, 1598 students in grade 6 from 107 schools in Scarborough (Ontario) completed the base line questionnaire. Of these, 1,543, 1,455 and 1,254 responded at follow-ups in grades 8 and 11, and as young adults (in 2002), respectively. Reported smoking behavior was used to categorize people as current and never smokers. Self-reported height and weight were used to calculate BMI. Girls who thought themselves overweight in grades 8 and 11 were more likely to be smoking as young adults (odds ratios of 1.778 and 1.627, respectively). Boys with higher self-reported BMIs in grades 8 and 11 were more likely to be smokers as young adults (odds ratios of 1.115 and 1.095, respectively). These findings provide evidence of the longitudinal effect of perception of being overweight as an adolescent on smoking as a young adult and suggest possible ways of averting smoking behavior.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.050
GPT teacher head0.339
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.

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

Citations33
Published2008
Admission routes2
Has abstractyes

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