非小细胞肺癌患者术后抑郁的潜在类别分析：一项横断面研究。
Latent class analysis of depression among patients with non-small cell lung cancer after surgery: A cross-sectional study.
作者信息
Wang Xiaoxu, Liu Jinxin, Li Cuicui, Duan Haiyang, Lu Hengxiao, Dong Qiaona, Sun Ruijuan
机构信息
College of Nursing, Shandong Second Medical University, Weifang, Shandong Province, China.
Thoracic surgery medical center, The First Affiliated Hospital of Shandong Second Medical University (Weifang People's Hospital), Weifang, Shandong Province, China.
出版信息
PLoS One. 2025 Jun 17;20(6):e0324723. doi: 10.1371/journal.pone.0324723. eCollection 2025.
BACKGROUND
Depression exhibits heterogeneity. However, limited research has explored this heterogeneity in patients with non-small cell lung cancer (NSCLC) after surgery from a person-centered perspective. This study aimed to identify classes of depression using latent class analysis (LCA) in patients with NSCLC after surgery and to explore the association between these classes and demographic and clinical characteristics, physical symptoms, distress disclosure, and relationship quality.
METHODS
A cross-sectional study was conducted with 234 patients with NSCLC in China from March 17, 2024 to May 16, 2024. Participants provided written informed consent before participating in the study. LCA was performed to identify latent classes of depression. Binary logistic regression analysis was employed to examine the association between the identified classes and related factors.
RESULT
This study identified two distinct classes: the severe depression group (Class1, N = 162, 69%) and the mild depression group (Class2, N = 72, 31%). Binary logistic regression result demonstrated that, compared with the mild depression group, factors associated with the severe depression group included pain, fatigue, sleep quality, reluctance to distress disclosure and perceived low relationship quality.
CONCLUSIONS
The current study provides evidence of the heterogeneity of depression among Chinese patients with NSCLC after surgery. Healthcare providers can develop tailored interventions by identifying the unique characteristics of each depression class. For patients in the severe depression group, interventions should focus on symptom alleviation, encouraging self-disclosure, and enhancing the quality of family relationships to improve their depression. As this study is cross-sectional, future research should validate these depression classes in larger and more diverse populations, both in China and globally.
TRIAL REGISTRATION
Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR2400081943).
背景
抑郁症表现出异质性。然而，从以患者为中心的角度对非小细胞肺癌（NSCLC）术后患者的这种异质性进行的研究有限。本研究旨在通过潜在类别分析（LCA）确定NSCLC术后患者的抑郁症类别，并探讨这些类别与人口统计学和临床特征、身体症状、痛苦表露及关系质量之间的关联。
方法
于2024年3月17日至2024年5月16日在中国对234例NSCLC患者进行了一项横断面研究。参与者在参与研究前提供了书面知情同意书。采用LCA确定抑郁症的潜在类别。采用二元逻辑回归分析来检验所确定的类别与相关因素之间的关联。
结果
本研究确定了两个不同的类别：重度抑郁症组（类别1，N = 162，69%）和轻度抑郁症组（类别2，N = 72，31%）。二元逻辑回归结果表明，与轻度抑郁症组相比，与重度抑郁症组相关的因素包括疼痛、疲劳、睡眠质量、不愿表露痛苦以及感知到的低关系质量。
结论
本研究为中国NSCLC术后患者抑郁症的异质性提供了证据。医疗服务提供者可以通过识别每个抑郁症类别的独特特征来制定针对性的干预措施。对于重度抑郁症组的患者，干预措施应侧重于缓解症状、鼓励自我表露以及提高家庭关系质量以改善他们的抑郁症。由于本研究是横断面研究，未来的研究应在中国和全球更大且更多样化的人群中验证这些抑郁症类别。
试验注册
中国临床试验注册中心（ChiCTR，www.chictr.org.cn；注册号：ChiCTR2400081943）。
Zotero 插件