| 刘 飞,任扩军,宋文华,邹 杰,李 雷.乳腺癌患者心理韧性相关影响因素分析及心理韧性与焦虑的关系[J].现代生物医学进展英文版,2019,19(10):1945-1948. |
| 乳腺癌患者心理韧性相关影响因素分析及心理韧性与焦虑的关系 |
| Analysis of Factors Related to the Psychological Resilience in Breast Cancer Patients and Relationship between Psychological Resilience and Anxiety |
| Received:December 03, 2018 Revised:December 26, 2018 |
| DOI：10.13241/j.cnki.pmb.2019.10.030 |
| 中文关键词: 心理韧性 乳腺癌 影响因素 焦虑 关系 |
| 英文关键词: Psychological resilience Breast cancer Influencing factor Anxious Relationship |
| 基金项目:安徽省科技攻关计划项目（1401041122） |
| Author Name | Affiliation | E-mail | | LIU Fei | Department of Oncology Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233040, China | liu_work999@sina.com | | REN Kuo-jun | Department of Breast Surgery, Anhui Provincial Cancer Hospital, Hefei, Anhui, 230071, China | | | SONG Wen-hua | Department of Oncology Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233040, China | | | ZOU Jie | Department of Oncology Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233040, China | | | LI Lei | Department of Oncology Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China | |
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| 中文摘要: |
| 摘要 目的：分析乳腺癌患者心理韧性的影响因素，并分析心理韧性与焦虑的关系。方法：于2017年2月~2018年4月期间，选择蚌埠医学院第二附属医院收治的乳腺癌患者287例为研究对象，分别采用心理韧性量表（RS）、焦虑自评量表(SAS)评估研究对象的心理韧性及焦虑状态，并采用多因素Logistic回归分析法分析乳腺癌患者心理韧性相关的影响因素，应用多元逐步线性回归分析法分析乳腺癌患者心理韧性与焦虑的关系。结果：乳腺癌患者RS得分为（76.72±9.82）分。单因素分析显示，不同年龄、居住地、家庭月收入及费用支出形式患者的RS得分比较差异有统计学意义（P<0.05）；不同文化程度、婚姻状况、手术类型及肿瘤分期患者的RS得分比较差异无统计学意义（P>0.05）。多因素Logistic回归分析结果显示，年龄为20~40岁、居住地为农村、家庭月收入<3000元、费用支出形式为自费是乳腺癌患者心理韧性的影响因素（P<0.05）。乳腺癌患者SAS得分为（5.02±1.42）分，以心理韧性为自变量，焦虑为因变量进行多元逐步线性回归分析，结果显示，乳腺癌患者心理韧性为焦虑的预测因子，其心理韧性水平越高，焦虑程度越低（P<0.05）。结论：乳腺癌患者心理韧性水平偏低，且其对患者焦虑状态具有预测作用，年龄为20~40岁、居住地为农村、家庭月收入<3000元、费用支出形式为自费是乳腺癌患者心理韧性的影响因素，临床治疗中应该根据以上影响因素进行相关干预。 |
| 英文摘要: |
| ABSTRACT Objective: To analyze the influencing factors of psychological resilience of breast cancer patients. To analyze the relationship between psychological resilience and anxiety. Methods: A total of 287 breast cancer patients, who were treated in Second Affiliated Hospital of Bengbu Medical College from February 2017 to April 2018, were chosen as study subjects. The psychological resilience and anxiety level of the subjects were evaluated by Psychological Resilience Scale (RS) and self-rating Anxiety Scale (SAS). The influencing factors of psychological resilience in breast cancer patients were analyzed by multivariate logistic regression analysis. The relationship between psychological resilience and anxiety in breast cancer patients was analyzed by stepwise regression analysis. Results: RS score of breast cancer patients was (76.72±9.82). Univariate analysis showed that there were significant differences in RS scores among patients of different ages, residence, family monthly income and expenditure patterns (P<0.05). There were no significant differences in the scores of RS among patients with different educational background, marital status, type of operation and stage of cancer (P>0.05). Multivariate logistic regression analysis showed that age from 20 to 40 years old, residence in rural areas, family monthly income<3000 yuan and patients at their own expense were the influencing factors of psychological resilience of breast cancer patients (P<0.05). The SAS score of breast cancer patients was (5.02±1.42). Taking mental resilience as independent variable and anxiety as dependent variable, multiple stepwise linear regression analysis was carried out. The results showed that psychological resilience was a predictor of anxiety in breast cancer patients. The higher the level of psychological resilience, the lower the degree of anxiety (P<0.05). Conclusion: The psychological resilience level of breast cancer patients is low, which can predict the anxiety state of patients. The age of 20 to 40 years old, living in rural areas, family monthly income less than 3000 yuan, the expenditure form of self-expense are the influence factors of breast cancer patients' psychological resilience. According to the above influence factors, relevant interventions should be carried out in clinical treatment. |
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