Area deprivation, individual socioeconomic position and smoking among women in South Korea
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to examine how area deprivation and individual socioeconomic position affect smoking among women using national survey data. METHODS: Smoking and individual sociodemographic characteristics were gathered from the Third Korea National Health and Nutrition Examination Survey, 2005. The Carstairs index was derived for each area using the 2005 census data. The data were analysed using multilevel logistic regression models. RESULTS: After adjusting for age and marital status, low education and manual jobs were significantly associated with a higher likelihood of smoking. In addition, the effect of manual jobs on smoking was modified by area deprivation. When individual occupation and area deprivation were examined together, results indicated that women with manual occupation had much greater odds of smoking when they lived in the least-deprived areas (OR, 4.03; CI, 2.00 to 8.14) than did women with manual job who lived in the middle- or most-deprived areas (OR, 2.19; CI, 1.15 to 4.16), compared to the reference group (housewives in the middle- or most-deprived areas). CONCLUSION: The results of the present study show that among Korean women, manual work is associated with smoking, and the association is strongest among those living in the least-deprived areas. This interaction between manual work and area deprivation resulted in a higher smoking prevalence among women in affluent urban areas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".