Xie ZJ, Zhang H, Ma RY, Su HL. Influencing factors and predictive model construction of anxiety and depression in patients with cervical cancer. World J Psychiatry 2025; 15(12): 111761 [PMID: 41357919 DOI: 10.5498/wjp.v15.i12.111761]
Corresponding Author of This Article
Hai-Lan Su, Department of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), No. 2666 Ludang Road, Wujiang District, Suzhou 215200, Jiangsu Province, China. shl20250618@163.com
Research Domain of This Article
Psychology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Dec 19, 2025 (publication date) through Dec 9, 2025
Times Cited of This Article
Times Cited (0)
Journal Information of This Article
Publication Name
World Journal of Psychiatry
ISSN
2220-3206
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Share the Article
Xie ZJ, Zhang H, Ma RY, Su HL. Influencing factors and predictive model construction of anxiety and depression in patients with cervical cancer. World J Psychiatry 2025; 15(12): 111761 [PMID: 41357919 DOI: 10.5498/wjp.v15.i12.111761]
World J Psychiatry. Dec 19, 2025; 15(12): 111761 Published online Dec 19, 2025. doi: 10.5498/wjp.v15.i12.111761
Influencing factors and predictive model construction of anxiety and depression in patients with cervical cancer
Zhi-Jia Xie, Hao Zhang, Ru-Yue Ma, Hai-Lan Su
Zhi-Jia Xie, Ru-Yue Ma, Hai-Lan Su, Department of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), Suzhou 215200, Jiangsu Province, China
Hao Zhang, Department of Psychiatry, Suzhou Wujiang District Mental Rehabilitation Hospital, Suzhou 215200, Jiangsu Province, China
Author contributions: Xie ZJ and Su HL research and write a manuscript; Ma RY contributed to conceiving the research and analyzing data; Xie ZJ and Su HL conducted data analysis; Zhang H provided guidance for the research; all authors reviewed and approved the final manuscript.
Supported by 2024 Hospital-Level Research Start-up Fund, No. YK202426; Suzhou Wujiang District "Science and Education for Health" Project, No. WWK202201; and Development Fund Project of the Affiliated Hospital of Xuzhou Medical University, No. XYFY202423.
Institutional review board statement: This study has been approved by the Ethics Committee of Suzhou Ninth People's Hospital.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All authors declare that there is no conflict of interest.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hai-Lan Su, Department of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), No. 2666 Ludang Road, Wujiang District, Suzhou 215200, Jiangsu Province, China. shl20250618@163.com
Received: August 15, 2025 Revised: September 17, 2025 Accepted: October 17, 2025 Published online: December 19, 2025 Processing time: 104 Days and 1.6 Hours
Abstract
BACKGROUND
Anxiety and depression are highly prevalent among patients with cervical cancer (CC). However, few studies have systematically analyzed the psychological effects of tumor stage, treatment methods, and related factors on these patients, or developed predictive models for these outcomes.
AIM
To identify factors influencing anxiety and depression in patients with CC and construct predictive models.
METHODS
We retrospectively analyzed data from 119 patients with CC treated at the Gynecology Department of Suzhou Ninth People’s Hospital between January 2017 and May 2025. Clinical data, psychological hope levels at diagnosis, and Self-Rating Anxiety Scale and Self-Rating Depression Scale scores during treatment were collected. Influencing factors were identified, and predictive models were developed. The model performance was evaluated using receiver operating characteristic (ROC) curves and the Hosmer-Lemeshow goodness-of-fit test.
RESULTS
During treatment, 64.71% of the patients experienced anxiety and 52.10% experienced depression. Significant differences in family income, tumor stage, treatment modality, and hope level were observed between patients with and without anxiety/depression (P < 0.05). Multivariate analysis showed that a family monthly income < 5000 yuan, stage III-IV tumor, comprehensive treatment, and low hope level were independent risk factors (P < 0.05). The predictive formula for anxiety was as follows: Logit (P) = 0.795 × monthly income + 0.594 × tumor stage + 1.095 × treatment method + 1.184 × hope level − 9.176; for depression: Logit (P) = 0.432 × monthly income + 0.518 × tumor stage + 0.727 × treatment method + 1.095 × hope level − 8.541. The area under the ROC curves were 0.865 for anxiety and 0.837 for depression. Goodness-of-fit test confirmed no overfitting (P > 0.05).
CONCLUSION
Family income, tumor stage, treatment method, and hope level are key determinants of anxiety and depression in patients with CC. Predictive models incorporating these factors can effectively assess risk of anxiety and depression during treatment.
Core Tip: Cervical cancer (CC) causes long-term distress in women, who are prone to negative emotions such as anxiety and depression. This study analyzed the factors influencing anxiety and depression in patients with CC and developed a predictive model. The findings provide guidance for the clinical assessment of psychological risks and support the adoption of targeted measures to reduce these risks.
