Abstract P3-08-04: Improving sleep to reduce breast cancer risk in shift workers
Notice bibliographique
Résumé
Abstract BACKGROUND: Shiftwork that involves circadian disruption has been designated as a 2A (probable) breast cancer carcinogen by the International Agency for Research on Cancer. Night shift workers experience many lifestyle disturbances including disrupted sleep. While the specific biological mechanisms that confer increased breast cancer risk are not yet clear, sleep disruption is hypothesized to have both direct (lowering melatonin levels) and indirect (obesity status) impacts on risk status. However, few interventions of any type have been reported for shift workers to potentially reduce their risk for breast cancer. An effective intervention to improve sleep quality would be one way to potentially reduce breast cancer risks in these women. METHODS: 47 female shift workers aged 40-65 who had experienced high circadian disruption (rotating or permanent night shifts) at least 3 times per month for at least 2 years participated in a single arm study examining the impact of a sleep intervention on health behaviours and breast cancer risk. Over the course of 10 months, women received with a 10-session (plus 2 booster sessions), telephone-delivered sleep hygiene intervention. The program was adapted from a hospital-based sleep clinic protocol based on cognitive behaviour therapy (CBT) principles and aimed to improve sleep quality and quantity. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Data were assessed at baseline and 6 and 12 months. RESULTS: Mean age was 47 years, 68% were partnered, and 78% had diploma level education or higher. Participants were nurses (49%), emergency communications personnel (17%) and paramedics (13%), and others. At baseline, 79% had "poor" sleep quality (score above 5 on the PSQI), decreasing to 54% at 6 months and 49% at 12 months (p<0.001 for both changes between baseline and 6 months, and between baseline and 12 months, based on McNemar's test). Significant correlates of better sleep included younger age, being married, and having more education, but not obesity (measured by body mass index). We also investigated chronotype, which characterizes sleep time preferences that reflect underlying circadian rhythms; individuals may be "morning types" or larks (preferring early awakenings and bedtimes), "evening types" or owls (preferring late nights and mornings), or intermediate. We found that our intervention was more significantly effective for larks (where 11% reported good sleep at baseline and 67% at 12 months) and intermediates (where 28% reported good sleep at baseline and 62% at 12 months) than for owls (where 15% reported good sleep at baseline and 18% at 12 months). DISCUSSION: Most female shift workers in this study report impaired sleep quality. Our CBT-based sleep intervention led to significant improvements in sleep quality in 6 months, and these improvements were maintained at one year. This approach was more effective for some chronotypes than others, and "night owls" may require a different intervention. Sleep is a modifiable risk factor that is increasingly linked with cancer-related outcomes, including cancer incidence. Interventions to improve sleep quality such as the program used here offer a novel approach with the potential to reduce breast cancer risk. Citation Format: Gotay C, Aronson K, Campbell K, Demers P, Fleming J, Gelmon K, Goodfellow E, Munoz C, Neil-Sztramko S, Pollak M, Shen H, Spinelli J. Improving sleep to reduce breast cancer risk in shift workers. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-08-04.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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 ».