Is initiation of smoking associated with the prodromal phase of schizophrenia?
Bibliographic record
Abstract
OBJECTIVE: Although the association between smoking and schizophrenia is well known, little attention has been paid to the time between initiation of smoking and onset of schizophrenia. Our goal was to study this putative temporal relation among patients with schizophrenia. METHODS: We used data from the Northern Finland 1966 Birth Cohort (n = 11,017) linked with the National Finnish Hospital Discharge Register to study age at initiation of smoking and age at onset of schizophrenia, and we examined associations between family and environmental factors and the retrospectively determined regular smoking among patients with schizophrenia. RESULTS: Our main finding was that the initiation of regular smoking was closely related to the onset of schizophrenia. The mean difference in time between the initiation of regular smoking and the onset of schizophrenia among patients (n = 30) was 2.3 (standard deviation [SD] 6.6) years, which was statistically significantly lower than that for subjects with other psychoses (n = 18) (8.6 [SD 6.3] yr) (p < 0.001). Among patients with schizophrenia, the increased likelihood of smoking was associated only with paternal smoking in the family environment, but not with any other background factors (odds ratio 3.5, 95; confidence interval 1.9-11.3). CONCLUSION: Smoking may be a sign of the prodromal phase of schizophrenia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".