Trends in Smoking Among Adults From 1980 to 2009: The Minnesota Heart Survey
Bibliographic record
Abstract
OBJECTIVES: We examined population-based smoking trends in Minnesota between 1980 and 2009. METHODS: The Minnesota Heart Survey (MHS) is a population-based, serial, cross-sectional study of cardiovascular risk factor trends among Minneapolis-Saint Paul metropolitan residents. The MHS recently completed its sixth survey (1980-1982 [n = 3799], 1985-1987 [n = 4641], 1990-1992 [n = 5159], 1995-1997 [n = 6690], 2000-2002 [n = 3281], and 2007-2009 [n = 3179]). We used MHS data to examine smoking trends among adults aged 25 to 74 years by means of age-adjusted generalized linear mixed models. RESULTS: Between 1980 and 2009, the prevalence of current smoking decreased from 32.8% to 15.5% for men and from 32.7% to 12.2% for women (P < .001 for each). Greater decreases occurred among those with higher income and those with more education. Among currently smoking men, the number of cigarettes smoked per day decreased from 26.0 in the 1980-1982 survey to 16.0 in the 2007-2009 survey (P < .001). Similar trends were observed among women. CONCLUSIONS: Although the prevalence of smoking and cigarette consumption decreased from the 1980-1982 period to the 2007-2009 period, interventions specifically designed for those of lower socioeconomic status are needed.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".