Abstract 2277: Adherence to cancer prevention guidelines and risk of cancer among older white and black adults in the Health ABC Study
Notice bibliographique
Résumé
Abstract Background: About one-third of cancers can be prevented by healthy lifestyle behaviors. The American Cancer Society (ACS) have guidelines for reducing the risk of cancer by maintaining a healthy body weight, being physically active, eating well and limiting alcohol. Few studies have examined adherence to cancer preventive behavior and subsequent cancer risk in older populations that are inclusive of men, women and minorities. Methods: We evaluated adherence to ACS cancer prevention guidelines and subsequent risk of all incident cancer in the Health, Aging and Body Composition Study. The population included 2,124 white and black men and women aged 71-80 years who were initially free of cancer at baseline (1998-1999). Adherence to ACS guidelines was scored from 0 (lowest adherence) to 8 (greatest adherence). Maintenance of healthy body weight was determined from body mass index at ages 25 and 50 (recalled at baseline) and measured height and weight at baseline. Physical activity and alcohol intake were assessed by questionnaire. Diet was assessed by food frequency questionnaire (servings of fruits and vegetables, the ratio of whole grains to refined grains and intake of red meat and processed meats). Incident cancer (all types except non-melanoma skin cancer) was confirmed from pathology reports when available, or medical records and death certificates. Risk of cancer was determined with cox regression adjusted for gender, age and study site. Participants with the lowest adherence to ACS guidelines were the referent. Results: The lowest adherence category (scores 0-2) had 297 participants (14% of all participants), 1,316 (62%) were in the moderate adherence category (scores 3-5), and 511 (24%) were in the highest adherence category (scores 6-8). Adherence was lower among men (P<0.001), black (P<0.001) and older participants (P<0.01). After a median follow-up of 12.5 years, 517 people developed incident cancer. Participants with moderate adherence had a 23% lower risk of cancer [HR=0.77, 95% CI=0.60-0.97]. Participants with the greatest adherence had a 26% lower risk of cancer [HR=0.74, 95% CI=0.56-0.98]. Conclusions: Only 1 in 4 older adults closely followed healthy lifestyle behaviors outlined by the ACS for cancer prevention. Greater adherence to recommendations was associated with lower likelihood of total cancer in older white and black adults. Public health efforts to increase preventive lifestyle behaviors may be particularly needed among men, black and older individuals. Citation Format: Audrey Y. Jung, Christina Gu, Iva Milijkovic, Susan Rubin, Suzanne Satterfield, Stephen B. Kritschevsky, Heidi Klepin, Anne B. Newman, Jane Cauley, Hilsa Ayonayon, Tamara B. Harris, Rachel A. Murphy. Adherence to cancer prevention guidelines and risk of cancer among older white and black adults in the Health ABC Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2277. doi:10.1158/1538-7445.AM2017-2277
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».