Experiences of cigarette smoking among Iranian educated women: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Smoking is a well-known public health problem in women as well as men. In many countries including Iran, there is an increase in tobacco use among women. Exploring the experience of smoking by educated women in order to develop effective tobacco prevention programs in these women is necessary. This study aimed to explore the experiences of smoking among Iranian educated women. METHODS: This study used a method of qualitative content analysis with the deep individual, semi-structured interviews on a sample of 14 educated female smokers, selected purposefully. Data were analyzed using qualitative content analysis with conventional approach while being collected. RESULTS: The data analysis led to 16 subcategories which were divided into four main categories: (1) Personal factors including subcategories of imitation, show-off and independence, inexperience and curiosity, personal interest and desire, improved mood, and social defiance; (2) family factors including smokers in the family, intrafamily conflicts, and family strictures and limitations; (3) social factors including subcategories of effects of work and school environment, gender equality symbols, peer pressure, and acceptance among friends; and (4) negative consequences of smoking including subcategories of a sense of being physically hurt, psychological and emotional stress, and being looked upon in a negative and judgmental manner. CONCLUSIONS: The findings of this study showed that smoking among Iranian educated women is a multifactorial problem. Thus, it is necessary to address smoking among educated women in a holistic approach that focuses on different determinants including personal, family, and social factors particularly the gender roles and stereotypes.
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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 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".