OBJECTIVE: The objective of this study is to determine the quality of life among breast cancer patients in Yemen based on socio-demographic and clinical characteristics.
METHODOLOGY: This study was designed as a cross-sectional study. The data collected from 106 female breast cancer patients who were chosen for recruitment from the outpatient in National Oncology Centre (NOC), Sana'a, Yemen from November 2008 to June 2011. Questionnaires were distributed to the patients during their visit to the outpatient clinics in the center. The instrument of this study consists of two parts: Socio-demographic and the Functional Assessment of Cancer Therapy-Breast (FACT-B) questionnaire. Regarding data analysis, means and SD of subscales were evaluated for descriptive purpose. Analysis of variance (ANOVA) was performed to compare the three groups regarding QOL subscales. Whereas, independent t-test was performed for comparing two groups regarding QOL subscales. Multiple linear regression using backward analysis was performed to obtain the final model for each domain. The final model was chosen depending on R2 and the p value of the model. A p value less than 0.05 is considered statistically significant.
RESULTS: A total number of 106 breast cancer patients were participated in this study. The majority of them were uneducated, unemployed with normal weight and had middle income (60.4%; 95.3%; 59.4%, 46.2%; respectively). As for clinical characteristics of the study participants; the majority of them had had no family history of breast cancer, have been diagnosed at least 2 years, were diagnosed at grade 3 and size of tumor greater than 2 cm (88.7%, 66.0%, 35.8%, 73.6%; respectively). The majority of them underwent mastectomy, radiotherapy, chemotherapy and tamoxifen therapy (85.8%, 63.2%, 94.3% and 62.3%; respectively). For univariate analysis, the present study has identified several factors includes family monthly income, BMI, educational status, years after diagnosis, histological grade radiotherapy and surgery that influence the QOL of breast cancer patients in Yemen. For multivariate analysis, years after diagnosis, family monthly income and radiotherapy were significantly associated with total QOL of the breast cancer patients (p=0.01, p=0.023, p=0.039; respectively).
CONCLUSION: Family monthly income, BMI, educational status, years after diagnosis, histological grade radiotherapy and surgery were significantly influence the QOL of breast cancer patients in Yemen, in univariate analysis. For multivariate analysis, years after diagnosis, family monthly income and radiotherapy were significantly associated with total QOL of the breast cancer patients.