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Lu Y, Qi Y, Du J, Liu Y, Dong S, Ge H, Yu Y, Wang J, Zhang N, Wang B, Ma G. Classification of high-risk depressed mood groups in cancer patients based on Health Ecology Model. J Affect Disord 2024; 347:327-334. [PMID: 37992777 DOI: 10.1016/j.jad.2023.11.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 10/28/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Depressed mood affects a significant number of patients with cancer, and can impair their quality of life and interfere with successful treatment. Our study aims to create a predictive model for identifying high-risk groups of depressed mood in cancer patients, offering a theoretical support for preventing depressed mood in these individuals. METHODS The China Health and Retirement Longitudinal Study (CHARLS) provided the data for this research, which used CES-D as a tool to identify individuals with depressed mood. Influencing factors of depressed mood in cancer patients was analyzed using a binary logistic regression model. Using the Harvard Cancer Index, we classified the high-risk patients for depressed mood. RESULTS In present study, 52.96 % of cancer patients met criteria for depressed mood based on the CES-D. Significant correlations were found between depressed mood and factors such as gender, self-rated health, sleep duration, exercise, satisfaction with family, residence, education, life satisfaction, and medical insurance. Utilizing the Harvard Cancer Index, we classified patients into five risk levels for depressed mood, revealing a significant variation in the number of depressive patients across these levels (x2=99.82, P < 0.05). Notably, the incidence of depressed mood increased with the risk level among cancer patients (x2=103.40, P < 0.05). LIMITATIONS Lack of data on tumor typing and subgroups makes it unlikely to explore the specifics of depressed mood in patients with various types of cancer. CONCLUSION The determinants of depressed mood in cancer patients are multi-dimensional. The Harvard Cancer Index may be helpful in identifying high-risk populations.
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Affiliation(s)
- Youhua Lu
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China; Office of the President, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Yuantao Qi
- Office of the President, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Jin Du
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China
| | - Yan Liu
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China
| | - Shihong Dong
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China
| | - Huaiju Ge
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China
| | - Yuan Yu
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China
| | - Jialin Wang
- Human Resource Department, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Nan Zhang
- Office of the President, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Bingxiang Wang
- Human Resource Department, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Guifeng Ma
- School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China.
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