##submission.abstract##
Introduction: Quality of life(QOL) is a complicated and multidimensional
measure that affects the diagnosis and impact the treatment of a disease. QOL
continuously impacts the daily lives and activities of patients with breast cancer
during and after recovery. The current study aimed to: identify the
relationship between bio socio-demographic characteristics and quality of life
of women identify the relationship between bio socio-demographic
characteristics and quality of life of women undergone surgery as a treatment
for breast cancer. Methodology: a descriptive cross-sectional design was
adopted. Data was collected by conducting home visits for 120 randomly
elected adult women who had undergone breast surgery as a treatment for
breast cancer. Bio-socio-demographic structured interview schedule, QLQ-C30
and QLQ-C23 were used for data collection. Results: there was significantly
higher frequencies effect of marital status, tumor condition before surgery,
client’s activity and time period between diagnosis & surgery as predictors on
QLQ-C30 (p = <0.01). While; education, family income, family housing and
after surgery treatment had slight significance frequencies effect on QLQ-C30
(p < 0.05). significantly higher frequencies effect of family housing, tumor
condition before surgery, activity level and time period between diagnosis &
surgery as predictors on QLQ-C23 (p = <0.01). While; education, marital status
and after surgery treatment has slight significance frequencies effect on QLQ-
C23 (p < 0.05). But, occupation, breast cancer stage, after surgery medical
problem and family history were not predicted by relation to QLQ-C23 (p >
0.05). Conclusion: The overall quality of life of the study participants was
below average compared to international references. Functional and symptom
scales were affected in women after surgery. There was significantly higher
frequencies effect of demographic factors as marital status, education, family
income, family housing and clinical characteristics as tumor condition before
surgery, breast cancer stage, client’s activity, time period between diagnosis &
surgery and post-surgery treatment as predictors on QLQ-C30 and QLQ-C23.
While, age, occupation, after surgery medical problem and family history were
not predicted by relation to participants’ quality of life. Key words: Breast
cancer, quality of life, therapy impact, breast cancer survivals