期刊
EUROPEAN JOURNAL OF ONCOLOGY NURSING
卷 58, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ejon.2021.102031
关键词
Cancer; Depression; Distress; Latent profile analysis; Resilience; Stress
资金
- National Cancer Institute [CA134900]
- National Institute of Nursing Research [T32NR016920]
- American Cancer Society
- Oncology Nursing Foundation
The study aims to identify subgroups of oncology patients with distinct depressive symptom profiles and evaluate the differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms. The findings suggest that inter-individual variability in depressive symptoms is associated with various factors, such as demographic and clinical characteristics, stress levels, resilience, and severity of co-occurring symptoms.
Purpose: In a sample of oncology patients, identify subgroups of patients with distinct depressive symptom profiles and evaluate for differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms. Methods: Patients (n = 1327) had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Demographic and clinical characteristics, stress, resilience, and co-occurring symptoms were evaluated at enrollment. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression (CES-D) scale a total of six times over two cycles of chemotherapy. Latent profile analysis (LPA) was used to identify subgroups of patients (i.e., latent classes) with distinct depressive symptom profiles using the six CES-D scores. Results: Based on the findings from the LPA, 47.3% of the patients were classified as None ; 33.6% as Subsyndromal ; 13.8% as Moderate ; and 5.3% as High . Compared to None class, patients in the Subsyndromal, Moderate, and High classes had a lower functional status, a higher comorbidity burden, and a self-reported diagnosis of depression or back pain. Those patients with higher levels of depressive symptoms reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms. Conclusions: Inter-individual variability in depressive symptoms was associated with demographic and clinical characteristics, multiple types of stress and levels of resilience, as well as with the increased severity of multiple co-occurring symptoms. The risk factors associated with worse depressive symptom profiles can assist clinicians to identify high risk patients and initiate more timely supportive care interventions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据