Social functioning, depression, and quality of life among breast cancer patients: A path analysis

Factors affecting quality of life in women with breast cancer: a path analysis

BACKGROUND

Breast cancer may negatively affect people's quality of life. We investigated the predictors of quality of life in women with breast cancer with the mediating role of resilience.

METHOD

In a cross-sectional design, 218 patients completed a survey referring to the Valiasr International Hospital Oncology Center in Tabriz, Iran. Four validated self-report measures assessed HRQoL as measured by the SF-12, Resilience, Hope, and Perceived Social Support (MSPs). The mediating roles of resilience between HRQoL and the fitness of the proposed model were investigated using path analysis. SPSS version 24 software and Lisrel 8.8 software were used for data analysis.

RESULTS

The results of path analysis showed that the final model had a good fit to the data (Chi-Square/ degrees of freedom (Normed Chi2) = 2.08, RMSEA = 0.014, goodness fit index = 0.99, both comparative fit index = 0.99 both CFI = 0.99 and IFI = 1). In this model, age and psychosocial factors predicted health-related quality of life.

CONCLUSIONS

Age and psychosocial factors especially social support are important components in predicting health-related quality of life among those suffering from breast cancer.

Social participation and acceptance of disability in young and middle-aged breast cancer patients after surgery: A 6-month follow-up study

Objective

To describe the social participation and acceptance of disability (AOD) in young and middle-aged patients with breast cancer after surgery and their dynamic trajectories and to explore the critical factors associated with social participation.

Methods

212 young and middle-aged patients with breast cancer after surgery were recruited for a 6-month follow-up study, and 158 of whom completed four surveys. Participants were asked to complete questionnaires including a general information questionnaire, Social Dysfunction Screening Scale, and Adaptation of Disability Scale Revised at baseline, and at 1, 3, and 6 months. T-test and chi-square test were used to analyze the difference in baseline data. Linear generalized estimating equations were used to analyze the dynamic trend and influencing factors. The Cochran-Armitage trend test was used to analyze the trend of the incidence of social function defects.

Results

The status of social participation in patients after breast cancer surgery was poor, and 77.9%, 59.3%, 45.9%, and 29.1% had social function defects, respectively. The AOD was at a moderate level. Both social participation and AOD showed a trend of dynamic improvement. Age (P ​= ​0.044), residence (P ​= ​0.007), surgery type (P ​= ​0.043), postoperative chemotherapy (P ​= ​0.003), and AOD (P < 0.001) were the key factors associated with social participation.

Conclusions

Medical staff should focus on elderly patients, who lived outside the provincial capital city, received total mastectomy, or modified radical mastectomy and postoperative chemotherapy. AOD might be an important potential avenue for improving the social participation level of young and middle-aged patients with breast cancer after surgery.

Comparison of Quality of Life in Breast Cancer Survivors with and without Persistent Depressive Symptoms: A 12-Month Follow-Up Study

Although breast cancer treatments reduce mortality, their adverse effects can increase depression which impacts one's quality of life (QoL). Physical activity (PA) seems to improve the QoL of breast cancer survivors (BCS). However, an unanswered question is the influence of PA on the QoL in BCS with depressive symptoms. Thus, we analyzed the influence of PA on the QoL in BCS with persistent depressive symptoms during 12 months of follow-up. The sample included 70 female BCS. Depression and QoL domains (i.e., functional capacity, physical limitations, body pain, general health status, vitality, social and emotional aspects, and mental health) were assessed at baseline and follow-up periods by the Hospital Anxiety and Depression Scale and SF-36, respectively. Habitual PA was assessed by Baecke's questionnaire. Our results indicate a prevalence of 17.1% of depressive symptoms. Non-depressives BCS improved their physical limitations and general health status domains over time, but there were no observed differences in depressive BCS. BCS with persistent depressive symptoms (baseline and follow-up) showed worse QoL scores than non-depressives in all domains, regardless of confounding factors. When adjusted for PA, the difference between BCS depressives and non-depressives lost its significance in the functional capacity domain. In conclusion, habitual PA practice positively influenced the functional capacity domain of the QoL in BCS.