Influencing Factors of Depression in Patients with Postoperative Ovarian Cancer
10.3971/j.issn.1000-8578.2026.25.0831
- VernacularTitle:卵巢癌术后患者合并抑郁的影响因素
- Author:
Jialiang YAO
1
;
Long ZHANG
1
;
Jianhui TIAN
1
;
Ze LIU
1
;
Yun YANG
1
;
Yiyang ZHOU
1
;
Minghua LI
1
;
Wang YAO
1
;
Wenfei SHI
1
;
Xinyi LU
1
;
Pan YU
1
;
Enchao CONG
2
Author Information
1. Clinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China;Oncology Institute of Traditional Chinese Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
2. Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China;Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
- Publication Type:CLINICALRESEARCH
- Keywords:
Ovarian cancer;
Cancer-related depression;
Psychoneurotic symptom cluster;
Sleep disorder
- From:
Cancer Research on Prevention and Treatment
2026;53(5):349-359
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.
