Highlights
- •The first study combined clinical variables into severity variables to increase the strength of this variable as a predictor.
- •This study found that BC patients with religious beliefs and less disease severity had better SF.
- •Nurses could encourage patients to have religious beliefs and help them reduce the severity of BC to increase their SF.
Abstract
Purpose
To identify associations among social functioning, depression, and quality of life
in breast cancer patients.
Method
A cross-sectional study was conducted. A total of 180 breast cancer patients were
recruited from the surgical units in southern Taiwan hospital in 2021. Path analysis
was employed to analyze the relationships between background information and social
functioning, depression, and quality of life. Structural equation modeling (SEM) was
used for examining the path analysis in this study.
Results
The path model showed that respondents with a religious belief (ß = 0.18, p < .000) and less severe disease (ß = −0.29, p < .01) showed better social functioning. Income did not affect social functioning
directly but was directly related to the social interaction dimension (ß = 0.30, p < .000). Moreover, younger age (ß = -0.29, p < .000, lower income (ß = −0.10, p < .05) and more severe disease (ß = 0.35, p < .000) increased the level of depression. Less severe disease would also result
in a better quality of life (ß = −0.45, p < .000). Breast cancer patients with better social function levels have low levels
of depression (ß = −0.82, p < .000) and better quality of life (ß = 0.76, p < .000).
Conclusion
Age, religion, income, and severity are crucial predictors of social functioning,
depression, and quality of life. Furthermore, severity variables which combined clinical
variables to make this variable a stronger predictor for SF, depression, and QOL.
Keywords
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Article info
Publication history
Published online: November 10, 2022
Accepted:
November 7,
2022
Received in revised form:
October 22,
2022
Received:
August 9,
2022
Identification
Copyright
© 2022 Elsevier Ltd. All rights reserved.
