Women Breast Cancer: Knowledge, Attitudes, Practices and Factors Associated with Early Screening in the Municipality of Abomey-Calavi in Benin in 2018
Bibliographic record
Abstract
Background: Breast cancer is the dominant cancer in women in both developed and developing countries. The objective of this study was to assess the knowledge, attitudes, practices and factors associated with early breast cancer screening among women in the Municipality of Abomey-Calavi in Benin. Methods: This was a cross-sectional, descriptive, analytical study with prospective data collection from October 1 to 8, 2018, involving 1740 women in the Municipality of Abomey-Calavi, aged 18 years or older and selected by WHO four-stage random cluster sampling. Consenting women who were mentally competent, 18 years of age or older at the time of the survey, and residing continuously in the Municipality of Abomey-Calavi for the last six months prior to the survey were included. On the other hand, women who belonged to a breast cancer prevention service, women in whom secondary screening was noted, or non-consenting women were not included. The initial minimum size was estimated by the Schwartz formula with a cluster effect of k = 2. Information was collected by questionnaire survey, entered with Epidata 3.1. Fr and analyzed with R Studio 3.5.1. software. Results: The mean age of the women surveyed was 32.0 ± 11.5 years with a range of 18 and 71 years. Regarding knowledge, the clinical manifestation known by the majority of women was the presence of a nodule (68.50%). In the series, 1308 (75.17%) declared having heard about breast cancer once before, either on the radio, television or from friends and 726 (55.50%) had heard about breast cancer screening. Five hundred and twelve (70.52%) of the 726 who had heard of breast cancer said they knew that breast cancer could be screened earlier. Breast self-examination was the most cited screening method (67.58%). The disease is of natural origin according to 37.84% of them. Regarding attitudes and practices, the prevalence of early breast cancer screening was 12.93%, of which 11.67% declared that they had checked themselves to know whether they were carriers of the disease or not. The main means of the early screening used was breast self-examination (85.78%). Factors associated with early breast cancer screening found in multivariate analysis were age (≤50 years), education level (increasingly higher), marital status (married/coupled), place of residence (downtown), and socioeconomic level (average/high). Conclusion: The frequency of early breast cancer screening among women is still low in the municipality of Abomey-Calavi, although they have a good knowledge of the disease. This raises the need to strengthen awareness of early breast cancer screening.
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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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".