Predicting mammography stage of adoption among Iranian women
Bibliographic record
Abstract
OBJECTIVE: Despite evidence that screening for breast cancer is effective, adherence with screening recommendations in Iranian women is low. The purposes of this study were to (1) identify the associations between individual characteristics, related health beliefs, and stages of mammography behavior and (2) examine the socio-demographic factors and the health beliefs that predicate stages of mammography behavior. DESIGN: All health care centers were considered as clusters and 30 women were randomly selected from each of them. A sample of 689 Iranian women completed a questionnaire. MATERIALS AND METHODS: The questionnaire used was based on Champion's revised Health Belief Model Scale (CHBMS). One-way analysis of covariance (ANCOVA) was used to assess differences in the outcome variables (perceived severity, susceptibility, benefits, and barriers) across the stages. Multinomial logistic regression was conducted to test multivariate relationships. RESULTS: THE PERCENTAGE OF PARTICIPANTS IN EACH STAGE WAS: 40.1% in pre-contemplation, 34.7 in contemplation, 7.5% in relapse, 12% in action, and 5.7% in maintenance stage of mammography adoption. Older women were most likely to be in the pre-contemplation stage and action stage, and the youngest women were most likely to be in the relapse stage. Differences across stages of change were found for related beliefs for all participants except those in the relapse stage. CONCLUSION: Iranian women are less likely to be in maintenance and action stages than ot er Asian women and this study identifies constructs that may be targeted in interventions.
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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 | 0.001 | 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".