Dietary Behavior Related to Cancer Prevention in a Low Income Community
Bibliographic record
Abstract
Background: The incidence of cancer is increasing in developing countries. Diet and cancer have a close relationship. The objectives of this study were to measure the cancer prevention-related nutrition knowledge, attitudes, and practice and barriers related to healthy food in a low income community, and to assess their cancer worries. Subjects and methods: This cross-section descriptive study was carried out in a slum area in Cairo on a convenience sample of 414 adults permanently residing in the area. A structured interview questionnaire was used for collecting participants' socio-demographic data, knowledge about cancer, attitude and practice towards cancer dietary prevention, cancer worry scale, and the barriers preventing eating healthy food. Results: The study revealed a wide range of participants' knowledge scores. Participants' attitude towards a healthy diet was also low. The most deficient practices were related to the intake of balanced diet and vitamins, practice of exercise, and cancer screening. The most frequent barrier to a healthy diet was taste (42%), while the lack of information was the least (3.1%). Multivariate analysis showed that the knowledge score was positively predicted by cancer worry score. The attitude score was positively predicted by age and knowledge score, and the practice score by married status, crowding index, and attitude score. Conclusion: There is a poor level of knowledge and inadequate practices regarding cancer dietary prevention despite good attitudes, in addition to high worries about cancer. Implications for practice: There is urgent need for awareness raising intervention programs for dietary prevention of cancer.
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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".