Study on the changes and influencing factors of depression in Chinese women with cancer: an analysis based on CHARLS panel data

被引:0
作者
Wang, Na [1 ]
Chang, Mengran [1 ]
Liu, Shidong [2 ]
Chen, Bing [3 ]
机构
[1] Bengbu Med Univ, Affiliated Hosp 1, Gynecol Dept, Bengbu, Peoples R China
[2] Anhui Univ Finance & Econ, China Cooperat Res Inst, Bengbu, Peoples R China
[3] Anhui Univ Finance & Econ, Sch Languages & Media, Bengbu, Peoples R China
关键词
women with cancer; depression; development trends; influencing factors; panel stochastic trend model; PREVALENCE; DISORDERS; HEALTH;
D O I
10.3389/fpubh.2024.1485196
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background The social problems caused by depressive disorders and psychological behaviors in women are increasingly prominent, with extreme incidents occurring from time to time. Therefore, the issue concerning "how to prevent and resolve the risk of depression in women" is gaining significant attention across various sectors. However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.Objective Based on cancer impacts, this study aims to clarify the depressive state, development trends, and influencing factors in Chinese women with cancer, a group particularly susceptible to depression, to provide decision-making references for improving their psychological well-being.Methods Using follow-up panel data from five waves of China Health and Retirement Longitudinal Study (CHARLS), Chinese women with cancer who had complete observed values were selected as research subjects. After data cleaning, a balanced short panel dataset containing 1,030 samples was obtained. The depression characteristics and development trends in women with cancer were analyzed using the panel statistical method, and the influence of socio-demographic factors was examined using a panel stochastic trend model.Results The overall depression of Chinese women with cancer has deteriorated, putting them at risk of moderate depressive disorder. The development trend shows an inverted "U" curve, with significant differences observed among various groups based on urban and rural residency, educational levels, and regional locations. Specifically, urban women with cancer show milder depressive symptoms than those in rural areas, and women in the eastern region, those with higher educational levels, and those with non-reproductive system cancers show milder depressive symptoms than those in the central and western regions, those with lower educational levels, and those with reproductive system cancers. Regression analysis indicates that socio-demographic factors significantly influence depression in women with cancer. Among these influencing factors, age, having a spouse, high educational level, good performance in the activity of daily living (ADL), frequent visits to neighbors, and regular exercise are protective factors against depression, while diabetes, dyslipidemia, frequent outpatient visits, frequent hospitalizations, smoking, and low life satisfaction are risk factors for depression.Conclusion The depressive state among Chinese women with cancer is alarming. In view of this, there is an urgent need for introducing more supportive policies aimed at improving psychological health, developing tailored measures to address the specific needs of different groups, intensifying efforts to standardize the diagnosis and treatment of depression, particularly for those in rural areas, central and western regions, and among individuals with lower educational levels. Additionally, the role of social participation activities, such as visiting neighbors and exercising, should be given full play to alleviate depressive symptoms.
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页数:12
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共 30 条
  • [1] Management of Anxiety and Depression in Adult Survivors of Cancer: ASCO Guideline Update
    Andersen, Barbara L.
    Lacchetti, Christina
    Ashing, Kimlin
    Berek, Jonathan S.
    Berman, Barry S.
    Bolte, Sage
    Dizon, Don S.
    Given, Barbara
    Nekhlyudov, Larissa
    Pirl, William
    Stanton, Annette L.
    Rowland, Julia H.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (18) : 3426 - +
  • [2] Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
    Bray, Freddie
    Laversanne, Mathieu
    Sung, Hyuna
    Ferlay, Jacques
    Siegel, Rebecca L.
    Soerjomataram, Isabelle
    Jemal, Ahmedin
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2024, 74 (03) : 229 - 263
  • [3] Chen JH., 2023, Chinese J Health Educ, V39, P206, DOI [10.16168/j.cnki.issn.1002-9982.2023.03.003, DOI 10.16168/J.CNKI.ISSN.1002-9982.2023.03.003]
  • [4] Chen X., 2024, J Affect Disord, V327, P137, DOI [10.1016/j.jad.2023.02.012, DOI 10.1016/J.JAD.2023.02.012]
  • [5] 不同年龄组女性围产期抑郁发生风险及影响因素分析
    杜兴梅
    邓淦元
    杨中婷
    邓春燕
    闻萱
    张亚访
    陈莹
    邓睿
    黄源
    [J]. 中国预防医学杂志, 2024, 25 (03) : 300 - 306
  • [6] Fu XL., 2024, The 2023 blue book of China's mental health
  • [7] Gonzalez JM., 2022, J Affect Disord, V311, P463, DOI [10.1016/j.jad.2022.05.055, DOI 10.1016/J.JAD.2022.05.055]
  • [8] Prevalence and correlates of major depressive disorder: a systematic review
    Gutierrez-Rojas, Luis
    Porras-Segovia, Alejandro
    Dunne, Henry
    Andrade-Gonzalez, Nelson
    Cervilla, Jorge A.
    [J]. BRAZILIAN JOURNAL OF PSYCHIATRY, 2020, 42 (06) : 657 - 672
  • [9] Prevalence of mental disorders in China: a cross-sectional epidemiological study
    Huang, Yueqin
    Wang, Yu
    Wang, Hong
    Liu, Zhaorui
    Yu, Xin
    Yan, Jie
    Yu, Yaqin
    Kou, Changgui
    Xu, Xiufeng
    Lu, Jin
    Wang, Zhizhong
    He, Shulan
    Xu, Yifeng
    He, Yanling
    Li, Tao
    Guo, Wanjun
    Tian, Hongjun
    Xu, Guangming
    Xu, Xiangdong
    Ma, Yanjuan
    Wang, Linhong
    Wang, Limin
    Yan, Yongping
    Wang, Bo
    Xiao, Shuiyuan
    Zhou, Liang
    Li, Lingjiang
    Tan, Liwen
    Zhang, Tingting
    Ma, Chao
    Li, Qiang
    Ding, Hua
    Geng, Hongchun
    Jia, Fujun
    Shi, Jianfei
    Wang, Shiliang
    Zhang, Ning
    Du, Xinbai
    Du, Xiangdong
    Wu, Yue
    [J]. LANCET PSYCHIATRY, 2019, 6 (03): : 211 - 224
  • [10] Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data
    Jeffery, Annie
    Bhanu, Cini
    Walters, Kate
    Wong, Ian C. K.
    Osborn, David
    Hayes, Joseph F.
    [J]. BRITISH JOURNAL OF GENERAL PRACTICE, 2023, 73 (730) : E392 - E398