Quality of Life determinants in women with breast cancer undergoing treatment with curative intentReportar como inadecuado




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World Journal of Surgical Oncology

, 3:63

First Online: 27 September 2005Received: 10 June 2005Accepted: 27 September 2005

Abstract

BackgroundThe diagnosis of breast cancer and its subsequent treatment has significant impact on the woman-s physical functioning, mental health and her well-being, and thereby causes substantial disruption to quality of life QOL. Factors like patient education, spousal support and employment status, financial stability etc., have been found to influence QOL in the breast cancer patient. The present study attempts to identify the determinants of QOL in a cohort of Indian breast cancer patients.

Patients and methodsFunctional Assessment of Cancer Therapy-Breast FACT-B Version 4 Malayalam was used to assess quality of life in 502 breast cancer patients undergoing treatment with curative intent. The data on social, demographic, disease, treatment, and follow-up were collected from case records. Data was analysed using Analysis of Variance ANOVA and multinomial logistic regression.

ResultsThe mean age of the patients was 47.7 years with 44.6% of the women being pre-menopausal. The FACT-B mean score was 90.6 Standard Deviation SD = 18.4. The mean scores of the subscales were – Physical well-being 19.6 SD = 4.7, Social well-being 19.9 SD = 5.3, Emotional well-being 14 SD = 4.9, Functional well-being 13.0 SD = 5.7, and the Breast subscale 23.8 SD = 4.4. Younger women <45 years, women having unmarried children, nodal and-or metastatic disease, and those currently undergoing active treatment showed significantly poorer QOL scores in the univariate analysis. However multivariate analysis indicated that the religion, stage, pain, spouse education, nodal status, and distance travelled to reach the treatment centre as indicative of patient QOL.

ConclusionQOL derangements are common in breast cancer patients necessitating the provisions for patient access to psychosocial services. However, because of the huge patient load, a screening process to identify those meriting intervention over the general population would be a viable solution.

Electronic supplementary materialThe online version of this article doi:10.1186-1477-7819-3-63 contains supplementary material, which is available to authorized users.

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Autor: Manoj Pandey - Bejoy Cherian Thomas - Padmakumar SreeRekha - Kunnambath Ramdas - Kuttan Ratheesan - Sankarannair Parameswar

Fuente: https://link.springer.com/







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