Do Health-Seeking Populations Know the Link Between Human Papillomavirus and Oropharyngeal Cancer? A Cross-Sectional Study in a Nigerian Population
Bibliographic record
Abstract
Background The human papillomavirus (HPV) has been causally linked to oropharyngeal cancers. The extent to which the population is aware of this link has not been explored in Nigeria. We aim to investigate the knowledge of the link between HPV and oropharyngeal cancers in a health-seeking population in Nigeria. Methodology: We used a cross-sectional study design, with a multi-stage sampling method comprising a cluster of four health facilities and first-time adult patients attending the general outpatient clinics of the selected health facilities. An interviewer-administered questionnaire was be used to obtain demographic information, social history, HPV awareness, HPV vaccination and the link between HPV and oropharyngeal cancer. Results A total of 1,000 respondents completed the survey from four health facilities in Lagos, Nigeria. Majority of respondents were below 40 years (61.5%), and female (53.4%). About 13.4% of the study population were aware of HPV, and 7.9% of HPV vaccines. The most common source of HPV information for respondents who were aware of HPV was the internet (65.4%). Only 7.7% of respondents knew the link between HPV and oropharyngeal cancer. Significant predictors of knowledge of the link between HPV and oropharyngeal cancer were higher education [ p: 0.012], higher overall knowledge of HPV risk factors and complications [ p: 0.000]; and awareness of HPV vaccine [ p: 0.020]. Conclusions Our findings suggest a lack of public knowledge of the link between HPV and oropharyngeal cancer. These findings could inform health promotion measures for oropharyngeal cancer, particularly for groups where knowledge is lowest.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".