Smoking prevalence, knowledge, and attitudes among a population of Vietnamese American men
Bibliographic record
Abstract
Tobacco use among Vietnamese adult males in the United States is higher than the general population. Less is known about the role of knowledge and attitudes of smoking in smoking status. This study describes the smoking prevalence, practices, support, knowledge, and attitudes among Vietnamese American men by smoking status. We administrated a cross-sectional in-person health questionnaire to randomly selected Vietnamese men (18-64 years of age) living in Seattle, Washington, using bilingual, bicultural Vietnamese male interviewers (N = 509). The response rate was 79%; the cooperation rate was 82%. Sixty-four percent of respondents had a history of smoking: 37% current, 27% former, and 36% never smokers. Smoking prevalence was lowest among men aged 18-29 years. Among smokers, 81% smoked 1 to 10 cigarettes per day, 69% wanted to quit, and 48% planned to do so in the next 6 months. Twelve percent of smokers reported smoking was allowed in the home. On average, respondents correctly answered six out of seven questions regarding health risks related to smoking. In logistic regression analyses, being a current smoker was negatively associated with a higher knowledge score (OR = 0.83, 95% CI 0.71-0.97). Adjusted odds of being a current smoker were 3.77 times higher among men who agreed with the attitude statement "It is appropriate for Vietnamese men to smoke when with friends." (OR = 2.15, 95% CI 1.28-3.61). The findings suggest a great need to develop appropriate tobacco-control interventions to lower smoking prevalence, improve tobacco-related health knowledge, and reduce the acceptance of smoking among Vietnamese American men.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".