Tao Yining, Liu Qixi, Ye Xinxin, Feng Jie, Liu Huanju, Wu Jinqing, Zhang Jing, Lin Qian, Lu Jingzhan, Liu Renyang
Clinical Research Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, Ningde, Fujian, China.
J Cancer Surviv. 2024 Aug 14. doi: 10.1007/s11764-024-01649-5.
The interplay between sleep quality, anxiety, and depression among breast cancer patients remains poorly understood. This study aimed to investigate and compare the symptoms relationships among these three factors in Chinese breast cancer patients, utilizing two sleep assessments.
Our study encompassed 288 participants diagnosed with breast cancer, from whom we collected demographic information through questionnaires. Sleep quality symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI) and wrist actigraphy, while anxiety and depression symptoms were measured using the Hospital Anxiety and Depression Scale (HADS). Network analyses were conducted using R to calculate the centrality (strength) and further identify central symptoms and bridge symptoms in two networks that differed by sleep assessments. Central symptoms are closely related to other symptoms, whereas bridge symptoms indicate that symptoms may increase spread risk between different conditions.
In the network using PSQI data, "I have lost interest in my appearance" had the highest strength centrality (r = 2.417), followed by "sleep duration" (r = 1.068) and "sleep efficiency" (r = 0.955). In the network using wrist actigraphy data, "wake after sleep onset" had the highest strength value (r = 2.437), followed by "sleep efficiency" (r = 2.397) and "sleep latency" (r = 1.506). Two bridge symptoms were identified: "I feel cheerful" and "I look forward with enjoyment to things" in both networks.
Depressive symptoms played a leading role in the sleep-anxiety-depression network, underscoring the need for targeted intervention tailored to survivors' specific needs.
Health workers can give priority to symptom-specific screening and therapies, incorporating psychological support into standard cancer care.
乳腺癌患者睡眠质量、焦虑和抑郁之间的相互作用仍未得到充分理解。本研究旨在利用两种睡眠评估方法，调查和比较中国乳腺癌患者这三个因素之间的症状关系。
我们的研究纳入了288名被诊断为乳腺癌的参与者，通过问卷收集了他们的人口统计学信息。使用匹兹堡睡眠质量指数（PSQI）和手腕活动记录仪评估睡眠质量症状，使用医院焦虑抑郁量表（HADS）测量焦虑和抑郁症状。使用R进行网络分析，以计算中心性（强度），并进一步识别两个因睡眠评估不同而不同的网络中的中心症状和桥梁症状。中心症状与其他症状密切相关，而桥梁症状表明症状可能会增加不同情况之间的传播风险。
在使用PSQI数据的网络中，“我对外表失去了兴趣”的强度中心性最高（r = 2.417），其次是“睡眠时间”（r = 1.068）和“睡眠效率”（r = 0.955）。在使用手腕活动记录仪数据的网络中，“睡眠开始后醒来”的强度值最高（r = 2.437），其次是“睡眠效率”（r = 2.397）和“睡眠潜伏期”（r = 1.506）。识别出两个桥梁症状：两个网络中的“我感到愉快”和“我满怀喜悦地期待事情”。
抑郁症状在睡眠-焦虑-抑郁网络中起主导作用，强调需要根据幸存者的具体需求进行有针对性的干预。
卫生工作者可以优先进行针对症状的筛查和治疗，将心理支持纳入标准的癌症护理中。
Zotero 插件