PREVALENCE AND INCIDENCE OF HORMONAL-RELATED CANCERS (HRCs) IN RURAL SASKATCHEWAN: THE SASKATCHEWAN RURAL HEALTH STUDY
Notice bibliographique
Résumé
A significant number of rural Canadians dwellers are affected by hormone-related cancers (HRCs) like breast and prostate cancer. Little is known about the rates of occurrence and contextual factors that are associated with the development of breast and prostate cancers in rural residents. This study aimed to determine the incidence and prevalence of breast and prostate cancer among Saskatchewan rural dwellers and to explore individual and contextual factors that are associated with the prevalence of these cancers. To accomplish our goal, we utilized and analyzed data from the Saskatchewan Rural Health Study (SRHS). The SRHS involved a prospective cohort conducted in two phases: the baseline survey (in 2010) and a 4-year follow-up survey (in 2014). In the baseline, the SRHS research team obtained completed questionnaires from 4624 households, including information about 8261 individuals, 18 years and older. Questionnaires were returned from 2797 households comprised of 4867 individuals, in the follow-up survey. Crude prevalence and incidence of HRCs were calculated using appropriate formulae. Adjusted prevalence was calculated using logistic regression based on generalized estimating equations approach to account for hierarchy in the data (individuals within a household). Our study reported the crude prevalence of HRCs (breast and prostate cancers combined) as 3.0%, and 3.4% respectively, at the baseline and follow-up. The adjusted prevalence analysis showed that following variables were significantly associated with HRCs (breast and prostate cancers combined): exposure to radiation (odds ratio [OR] 3.39; 95% confidence interval [CI]: 2.23, 4.84), previous history of cancer in a sibling (i.e. brother or sister) (OR = 1.51, 95% CI: 1.11, 2.07) and a positive history of cancer in father (OR=1.37; 95% CI= 1.01, 1.86). The current study showed cumulative incidence for breast and prostate cancers in rural Saskatchewan as 0.86% and 1.08%, respectively. When combined (i.e. breast and prostate cancers together), the cumulative incidence for HRCs was 0.97%. In summarizing our study findings, HRCs were slightly more prevalent amongst non-farm residents 3.2% when compared with farm residents 2.8% and within the eastern part of the province (6.5%, 6.6%, respectively) as compared to the western part (4.6%, 6.3%, respectively) among both farm and non-farm residents, at the baseline. It appears that the prevalence of HRCs among farm and non-farm rural residents depend on the complex interplay among a variety of factors such as individual and contextual factors.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».