KNOWLEDGE ABOUT AND PERCEVIED RISK OF COLORECTAL CANCER
Notice bibliographique
Résumé
Purpose: Colorectal cancer (CRC) screening for average risk women lags behind that for breast cancer, despite education campaigns advocating screening. Women often tend to overestimate their risk of breast cancer. Our purpose was to determine women's perceived risk of CRC and knowledge of risk factors relevant to screening in comparison with men. Methods: Population-based random digit dial telephone survey of 1808 adults aged 50 to 74 years living in the province of Alberta, Canada. A knowledge score based on knowledge of risk factors (age, family history, history of bowel polyps), awareness of screening tests (fecal occult blood tests [FOBT] and colonoscopy/flexible sigmoidoscopy), recommendations for screening, and symptoms was developed. Results: The lifetime risk of developing CRC was underestimated (<1/100) by 63.1%. A further 13.8% did not know the risk. Women were less likely than men to underestimate the risk (20.0% vs 29.4% indicated risk = 1/1000, P <0.0016). Perceived risk of developing CRC compared to others the same age was similar in men and women. Among average risk subjects, 47.2% rated their risk as the same and 38.2% as lower than others their age. Self-rated health status was strongly related to perceived risk among those at average risk: 58.3% of men and 55.6% of women who rated their health as excellent perceived themselves at lower risk of developing CRC than others their age. Women had higher knowledge scores than men (p <0.001) but substantial knowledge gaps were found for both genders with average correct scores of 65.0% and 58.0% for women and men respectively. Women were more likely than men to be aware that prior polyps and family history of CRC increased a person's chances of developing CRC. Among men and women, knowledge scores were higher among those who had a FOBT in the past two years and among those who had a colonoscopy/flexible sigmoidoscopy within the past five years. Conclusions: Women and men underestimate their risk of developing CRC. Although women have somewhat more knowledge about CRC screening than men, substantial knowledge gaps were found. Low perceived risk among women may partly explain why screening rates lag behind those for breast and cervical screening. Programs designed to increase knowledge about CRC, not just awareness of screening, may lead to increased uptake.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».