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认知融合、伴侣亲密关系与中青年乳腺癌化疗患者并发抑郁症的关系
作者:董延晨1  李利利2  袁肖肖2  李燕宁2 
单位:1. 解放军联勤保障部队第九六○医院 门诊部, 山东 济南 250031;
2. 解放军联勤保障部队第九六○医院 甲状腺乳腺外科, 山东 济南 250031
关键词:乳腺癌 中青年 抑郁症 认知融合 伴侣亲密关系 
分类号:R749.4;R737.9
出版年·卷·期(页码):2024·43·第六期(945-950)
摘要:

目的:探讨中青年乳腺癌化疗患者认知融合状况、伴侣亲密关系与其并发抑郁症的相关性。方法:选取2022年7月至2024年4月本院中青年乳腺癌化疗患者150例为研究对象,根据是否并发抑郁症分为抑郁症组、无抑郁症组。采用一般资料问卷、认知融合问卷(CFQ)、婚姻调适测定(MAT)进行调查,应用Logistic多因素回归模型分析中青年乳腺癌化疗患者并发抑郁症的影响因素,绘制受试者工作特征(ROC)曲线评价模型预测价值。结果:150例中青年乳腺癌化疗患者并发抑郁症32例,抑郁症发生率为21.33%。Logistic回归分析显示,家庭人均月收入、临床分期、化疗疗程、CFQ、MAT评分均为中青年乳腺癌化疗患者并发抑郁症的影响因素(P<0.05)。ROC曲线显示,包含、不包含CFQ、MAT评分的回归模型预测中青年乳腺癌化疗患者并发抑郁症的曲线下面积(AUC)分别为0.940、0.766,包含CFQ、MAT评分模型的预测效能更高(Z=4.237,P<0.001)。结论:中青年乳腺癌化疗患者抑郁症发生率较高,家庭人均月收入、临床分期、化疗疗程、认知融合、伴侣亲密关系均是其影响因素,且模型预测价值较高。临床应及时针对相关因素制定个性化干预措施,以降低抑郁症发生风险。

Objective: To explore the relationship between cognitive fusion, partner intimacy and depression in young and middle-aged breast cancer patients undergoing chemotherapy. Methods: A total of 150 young and middle-aged breast cancer chemotherapy patients in our hospital from July 2022 to April 2024 were selected as the study objects, and were divided into depression group and non-depression group according to whether depression was complicated. General Information Questionnaire, Cognitive Fusion Questionnaire(CFQ), marital adjustment test(MAT) were used to investigate. Multivariate Logistic regression model was used to analyze the influencing factors of depression in young and middle-aged breast cancer patients with chemotherapy. Receiver operating characteristic(ROC) curve was used to evaluate the predictive value of the model. Results: Among 150 young and middle-aged breast cancer chemotherapy patients, 32 cases were complicated with depression, the incidence of depression was 21.33%. Logistic regression analysis showed that family per capita monthly income, clinical stage, chemotherapy course, CFQ score, MAT score were all influencing factors of depression in young and middle-aged breast cancer patients with chemotherapy(P<0.05). The ROC curve showed that the area under the curve(AUC) of the regression model with and without CFQ and MAT scores in predicting depression in young and middle-aged breast cancer patients undergoing chemotherapy was 0.940 and 0.766, respectively. The prediction efficiency of the regression model with CFQ and MAT scores was higher(Z=4.237, P<0.001). Conclusion: The incidence of depression in young and middle-aged breast cancer patients with chemotherapy is higher, and family per capita monthly income, clinical stage, chemotherapy course, cognitive fusion, partners intimacy are all influencing factors, and the model has high predictive value. In order to reduce the risk of depression, personalized intervention measures should be developed according to relevant factors in time.

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