Knowledge and Beliefs of Cancer Risk Factors and Early Cancer Symptoms in Lebanon: A Cross-sectional Survey Among Adults in the Community
Why this work is in the frame
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Bibliographic record
Abstract
Background Lebanon has an increasing cancer burden. Sufficient knowledge of cancer risk factors and early cancer symptoms can help lower cancer burden by facilitating primary prevention and early diagnosis. This study (i) assessed Lebanese adults’ knowledge and beliefs of cancer risk factors and early cancer symptoms, (ii) analyzed whether knowledge was correlated with personal behavior, and (iii) assessed the presence of barriers that keep knowledge from turning into healthcare seeking behavior. Methods We performed a cross-sectional survey in the Lebanese adult population, consisting of a questionnaire administered during face-to-face interviews on a community-based non-probability sample (n = 726) that was frequency matched to national government estimates on age, level of education and gender. Results Recognition was high for carcinogens and protective factors (75%), but low for neutral factors (22%) which were often seen as carcinogenic. A quarter of participants (27.8%) could not name any early warning signs. For some risk factors, high knowledge scores were correlated with low-risk behavior, but this was not the case for cigarette smoking. The most frequent barriers for not seeking timely care were financial (57.0%) fear of finding illness (53.7%), and having other things to worry about (42.4%). Conclusion This study revealed important knowledge gaps which are likely to hamper primary prevention and early diagnosis. However, we also showed that high knowledge of risk was not always correlated with low-risk behavior. This, together with the barriers we found that kept people from seeking timely health care, emphasizes that efforts to lower cancer burden should not only focus on increasing knowledge.
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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) | 0.001 | 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 | 0.001 |
| 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 it