Awareness of cervical cancer and its prevention among young women in Ekiti state, south-west Nigeria.
Bibliographic record
Abstract
Background : Cancer of the cervix is a major public health issue in the developing countries. The burden of the disease is considerable with associated morbidity and mortality among women in their productive years. The lack of awareness and adequate information about cervical cancer and its prevention may be responsible for the large burden of cervical cancer on the developing countries. Objective : To assess the knowledge of cervical cancer, its risk factors and prevention among young women in Ekiti State. Methods : This was a descriptive cross-sectional questionnaire based survey of young women aged 15-24 years in randomly selected local government areas in Ekiti State in June 2013. Means, frequencies and percentages were determined and frequency tables were generated using SPSS software version 16.0. Results : A total of 444 young females participated in this study. Among the respondents, 69.4% were sexually active with only a quarter consistently using condom. Only 54.3% had heard cervical cancer, 2.9% knew the risk factors and a quarter knew no risk factor for cervical cancer. A tenth of the respondents knew about human papilloma virus (HPV) and a similar number knew about the HPV vaccine. Only 9% have heard about Pap smear while 1.4% have had pap smear at least once. Conclusion : Our study revealed poor knowledge of cervical cancer and its prevention among young women in this environment. There is a need for increase in public awareness of cervical cancer and its prevention. Provision of adequate information, community mobilization, proper service delivery, women empowerment and political will are essential in reducing this burden in the developing world.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".