Correlation between social support and quality of life in patients with breast cancer at different periods of treatment

Abstract

Objective: To analyze the differences between the social support for breast cancer patients and healthy female, and to explore the correlation between social support and quality of life (QOL) in the patients. Methods: From January 2013 to December 2014, 101 patients with operable breast cancer treated at Xinyu City People's Hospital were recruited as the experimental group. They completed questionnaires in the preoperative, postoperative chemoradiotherapy and rehabilitation periods, respectively.101 healthy female volunteers recruited from the community were included as control group, whose age and level of education were matched with those of the experimental group.The general questionnaire including basic information, disease conditions and other projects, perceived social support scale (PSSS), quality of life of breast cancer patients (FACT-B) were applied to evaluate the general situation, social support and QOL of the subjects. The differences in PSSS scores between the experimental and control groups were compared. The correlation between PSSS score and FACT-B score in the experimental group was analyzed. SPSS 18.0 software was used for statistical analysis. Results: The general situations of the experimental and control groups were comparable (all P>0.05). The rates of the total social support score ≥50 in the experimental and control groups were not significantly different (93.6% vs. 94.7%, P=0.067). Compared with that of the control group (23.2±4.8), the scores of family support in the experimental group in preoperative, postoperative chemoradiotherapy and rehabilitation periods were statistically higher (25.6±3.2, 24.2±4.2 and 24.0±3.4, respectively, P=0.034). The social support scores of patients with different demographic characteristics were different. Among the demographic characteristics, years of education and place of residence had the largest impact. The scores of social support in patients with longer education years and living in the urban area were higher than those with shorter education years and living in the rural areas (P<0.001). The scores of QOL among preoperative, postoperative chemoradiotherapy and rehabilitation periods in the experimental group were significantly different (all P<0.05). The patients gained the highest score of QOL in the preoperative period (110.7±5.1) and the lowest in the postoperative chemoradiotherapy period (95.3±18.1). The QOL of patients in the experimental group in preoperative, postoperative chemoradiotherapy and rehabilitation periods were all positively correlated with the overall social support (all P<0.01). Conclusions: The QOL of breast cancer patients at different periods of treatment is positively correlated with the social support. The quality of life can be enhanced by improving the social support for the patients.