@article{MAKHILLPJSS20191647730,
    title = {A Study of the Factors Affecting Quality of Life of Breast Cancer Patients},
    journal = {Pakistan Journal of Social Sciences},
    volume = {16},
    number = {4},
    pages = {97-102},
    year = {2019},
    issn = {1683-8831},
    doi = {pjssci.2019.97.102},
    url = {https://makhillpublications.co/view-article.php?issn=1683-8831&doi=pjssci.2019.97.102},
    author = {Naila},
    keywords = {Quality of life,breast cancer,physical well being,social well being,significant,effect},
    abstract = {Breast cancer has been considered as general
malignancies among women in all countries. The previous
studies explored that quality of life of breast cancer
patients gave the main idea in expressing the different
aspects of patients around different fields of wellbeing.
This study explores different demographic and other
factors (Physical well being, Psychological wellbeing,
social wellbeing and spiritual wellbeing) that affect the
Quality of Life (QOL) of breast cancer survivors. The
data is obtained from female breast cancer patients who
visited Institute of Nuclear Oncology and Medicine
Lahore (INMOL) Pakistan during the period of
November, 2016 to January, 2017 by face to face meeting
and through mobile phones. The female patients who have
completed their 1 year survivorship are included in the
study and their physical well being, psychological
wellbeing, social wellbeing, spiritual wellbeing and QOL
are measured with a modified (adapted) questionnaire.
The Analysis of Variance (ANOVA), Exploratory Factor
Analysis (EFA) and structural equation modeling
techniques are used to quantify the effects. The 36 total
items are compressed in 6 factors using EFA
techniquenamed as physical exertion, psychological well
being, social well being, spiritual well being and quality
of life. The value of 1267.401 and model fit indices (CFI,
TLI; 0.85, 0.92) indicate a better fit. The value of
RMSEA (0.07) is significant showing a good fit of the
model. Also, different regression and correlation models
are estimated through Structural Equation Modeling
(SEM). The results of EFA and CFA indicate a good fit of
model. The results show thatfamily income, social status,
marital status, income having family history of breast
cancer and length of breastfeeding period has significant
effect on QOL of breast cancer patients. It is noticed that
regression effect of physical exertion, psychological
wellbeing and spiritual well being is significant on QOL
of breast cancer survivors but social wellbeing has no
significant effect.}
    }