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Enregistrement W2063609124 · doi:10.1158/0008-5472.sabcs12-p6-08-04

Abstract P6-08-04: The Impact of a Breast Cancer Diagnosis in Young Women on their Relationship with their Mothers

2012· article· en· W2063609124 sur OpenAlexaff
Aiman Ali, Karen Fergus, Frances C. Wright, Kathleen I. Pritchard, Alexander Kiss, Ellen Warner

Notice bibliographique

RevueCancer Research · 2012
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBRCA gene mutations in cancer
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineBreast cancerWorryCancerEthnic groupGynecologyObstetricsPediatricsInternal medicinePsychiatryAnxiety

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Breast cancer in younger women (≤ 40) is associated with greater physical and psychological morbidity than in older women. No study to our knowledge has examined the effect of a breast cancer diagnosis in young women on their relationship with their mothers, or the support needs of these mothers. Methods: We developed and pre-tested a self-administered questionnaire on 10 survivors of breast cancer diagnosed ≤ age 40 for clarity, content and sensitivity (San Antonio, 2011). Then, consecutive recurrence-free women age ≤ 40 at diagnosis, within 4 years of a breast cancer diagnosis, whose mothers were alive at diagnosis, were asked to complete the modified questionnaire in a medical oncology follow-up clinic. Results: Of 110 eligible daughters approached from 07/2011–05/2012, 90 with a mean age 36 (range 21–43) participated in the study. Stage at diagnosis: 1–23 (26%), 2–46 (51%) 3–21 (23%). Ethnicity: Asian: 29 (32%), Caucasian 43 (48%), Black 2 (2%), Mix/Other 16 (18%). At diagnosis, 15 were living with their mothers, 44 were not living in the same city including 23 who were in different countries, 7 of whom were not informed of the diagnosis as the daughters did not want to worry them. Mean age of the 88 mothers alive at time of study was 64 (range 48–84) and 16 had previously had breast cancer. Illness attributions: Eight blamed their mothers for their developing breast cancer, and 22 believed their mothers felt responsible to some extent (overlap in 4). Supports: Of the 43 daughters who had turned to their mothers for emotional support over the year prior to diagnosis, all but one did so after diagnosis, as did 20% of those who had not turned to mothers over the year prior to diagnosis. In 11 cases, the daughters turned to their mothers before approaching anyone else for support. Of the 83 daughters who informed mothers of their diagnosis, 76 (92%) reported their mothers were emotionally and/or practically supportive. The 4 most difficult issues faced by daughters were fatigue, anxiety, breast loss and menopausal symptoms, with 70 daughters discussing at least some issues with their mothers. Of the 35 working mothers, 27 took time off to support their daughters. Nineteen mothers slept over or moved in with the daughters during their treatment, 8 of whom had been living in a different country. Forty-four (44/83=53%) daughters reported that the breast cancer diagnosis had a favorable impact on their relationship with their mothers. Formal supports for mothers: Thirty-two (32/83=39%) reported their mothers did not have adequate psychosocial support, and 59 (59/90=66%) indicated health care professionals could help mothers by providing brochures on caring for a daughter with breast cancer, having professionally led education sessions, as well as support groups. Conclusion: Mothers are an important source of support for young breast cancer daughters, and most daughters perceived that the diagnosis resulted in the mother-daughter relationship becoming closer. However, the physical and emotional toll on mothers appears to be high. Future studies should address the effects of a breast cancer diagnosis in a young daughter from the mothers' perspective, and the benefit of formal, culturally sensitive supports for these mothers. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P6-08-04.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,058
Tête enseignante GPT0,390
Écart entre enseignants0,332 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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