Knowledge, Attitudes, Behavior, and Practices of Self Breast Examination in Nicaragua
Bibliographic record
Abstract
Self breast examination (SBE) has been recommended as an important preventative practice for the early identification of breast cancer in women. However, our understanding of women's knowledge, attitudes, and practices of self breast examination in Nicaragua is limited. In the present study, we conducted a cross-sectional study of women aged 18 years and over (n=500) living in selected urban and rural areas of Nicaragua. Measures included the survey reflected knowledge, attitudes, behaviors, and practices related to self breast examination. We compared these measures between women living in urban and rural areas and women aged 18-39 years and 40+ years. Using a t-test, we tested the significance of these differentials. Results indicate widespread and significant differentials in basic knowledge and behaviors on self-breast examination practices among women living in rural and urban locations in Nicaragua. Further, while younger women reported significant and lower overall knowledge about breast cancer (BC), purpose and reasons for SBE, characteristics of women who tend to be at higher risk for BC, and strategies and steps women take performing SBE compared to women who were in the 40+ age group. Study results call for location and population-specific programs and policies addressing disparities in breast cancer prevention efforts in the country.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".