Factors influencing depressive symptoms in Chinese female breast cancer patients: a meta-analysis

Front Psychol. 2024 Apr 10:15:1332523. doi: 10.3389/fpsyg.2024.1332523. eCollection 2024.

Abstract

Objective: To systematically evaluate and explore the factors influencing depressive symptoms in female breast cancer patients in China through meta-analysis.

Methods: Relevant data were retrieved from cross-sectional studies or cohort studies on depressive symptoms of Chinese breast cancer within the following databases: PubMed, Embase, Cohrane Library, Web of 105 Science, Database of Medical Literature (CBM), Wan Fang Data, CNKI, and VIP databases. The literature screening, data extraction and literature quality evaluation were performed by two researchers by carefully reading the title, abstract and full text, and meta-analysis was performed using Stata 1.5 software after extracting relevant data.

Results: Fourteen papers were finally included, with a cumulative total of 3,071 people surveyed, and a total of 1,298 breast cancer patients were detected with depression, with a detection rate of depressive symptoms of 42.26%; meta analysis showed that age less than 40 years old, unmarried, less than undergraduate education, monthly income <5,000 yuan, advanced breast cancer, radical breast cancer surgery, family history, living in rural areas, underlying disease stage and chemotherapy were associated with an increased incidence of depression in breast cancer patients.

Conclusion: The detection rate of depressive symptoms in female breast cancer patients is high, and there is a need to strengthen depression-related psychological screening of breast cancer patients and provide them with individualized interventions to reduce the incidence of depression in breast cancer patients and to lower the level of depression already present in the patients.

Keywords: breast cancer; depression; female patients; meta-analysis; related factors.

Publication types

  • Systematic Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research is supported by the Joint Fund (WJ2018H0029) of the Health and Family Planning Commission of Hubei Province, China, in the year 2018.