| Objective:to investigate the level of the cancer-related fatigue (CRF) of cancer patients with PICC, and to analyze the relationship among resilience, social support and CRF. The study was performed to explore the role of psychosocial factors on CRF, so as to provide a scientific theoretical foundation for reducing the CRF of cancer patients with PICC from the perspective of positive psychology.Methods:The study was conducted in oncology department of Binzhou medical school affiliated hospital in Shandong Province. According to the convenient sampling method,207 cancer patients with PICC were recruited. The content included Self-designed General Information Questionnaire, Connor-Davidson Resilience Scale 10 (CD-RISC 10). Cancer Fatigue Scale (CFS) and Social Support Revalued Scale (SSRS).The data were analyzed by software SPSS version 17.0, and the statistical methods mainly included descriptive statistics, ANOVA, t test, Pearson correlation analysis and multiple hierarchical regression analysis.Results:1. Demographic characteristics and clinical information of cancer patients with PICC.Two hundred and seven cancer patients with PICC were involved in this study, with a mean age of (60.46±9.79) (ranging from 18 to 81 years). Among them,59.4% of the patients were male,94.2% were married,66.2% had primary school and lower education and 82.6% lived in rural areas.53.1% with IV stage cancer followed by the Ⅲ stage (23.2%).71.5% of patients were in remission,39.6% were in the course of 1-6 months, followed by 6-12 months (30.4%).83.1% of patients took a comprehensive treatment (combination of surgery, radiotherapy and chemotherapy) and 42.0% were with tube status.2. The scores of CRF in cancer patients with PICC and the comparison of differences in social demographic and clinical factors.The cancer patients with PICC experienced different degrees of CRF, and the average score was (19.81±9.00). Physical fatigue, affective fatigue, and cognitive fatigue scores were (9.66±4.89), (4.28±3.19), and (5.87±2.80), respectively. The results of the t-tests and ANOVAs showed that the CRF scores differed significantly with respect to age, gender, place of residence, disease states, course of disease, catheter way, treatment, and the state of insertion (P<0.05). The CRF scores of the male patients were higher than those of the women, the patients who lived in the countryside had higher scores than those of the urban. The CRF scores of the patients in the stational and progressive stage were higher than those in remission. The CRF scores were higher in the ones with less than or equal to one month’s course of disease than those with one to six months and six to twelve months. Besides, the patients who didn’t use B ultrasound guide way of catheter had higher scores in CRF than those who used, the patients with single treatment had higher CRF scores than those with comprehensive treatment. Additionally, the CRF scores of the patients under informed and intubated were higher than those in tube and extubation period. There were no significant differences in CRF scores on the other socio-demographic variables (P< 0.05).3. The scores of resilience and social support and the associations with the score of CRF.Resilience score ranged from 17 to 40 points, the average score was (30.93±5.23). Social support score ranged from 33 to 58 points, the average score was (46.58±4.63). Pearson correlation analysis revealed that there were significantly negative correlations between CRF score and resilience score, social support score and subjective support dimension scores (r=-0.154～-0.553, P<0.05).4. Hierarchical regression analysis was used to explore the influence factors of CRF.The multiple hierarchical linear regression analysis showed that resilience (β=-0.304, P<0.001), objective support (β= 0.126, P<0.05) and subjective support (β=-0.128, P<0.05) had significantly predictive effect on CRF, (R2= 0.526, △R2= 0.088).Conclusions:1. The cancer patients with PICC suffer from CRF generally.2. The CRF is closely related to the resilience and social support.3. Resilience, objective support and subjective support have significant predictive effect on CRF, which are the important influence factors of CRF. |
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