揭开隐藏的负担:探索中国西南地区妇科癌症的心理影响及抑郁预测模型

IF 4.7 2区 医学 Q1 PSYCHIATRY Depression and Anxiety Pub Date : 2024-08-01 DOI:10.1155/2024/6512073
Xingyu Sun, Shiqi Jiang, Beibei Jiao, Peijuan Wang, Qiong Wang, Lijuan He, Chengliang Yin, Ling Liu, Shaohua Wang
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引用次数: 0

摘要

目的探讨妇科癌症对中国西南地区中年女性的心理影响,并确定中重度抑郁症状的风险因素。方法这项横断面研究纳入了来自中国西南地区的 500 名患者,分为两组:抑郁组(220 人)和无抑郁组(280 人)。我们收集了有关人口统计学、临床特征和社会经济因素的数据。我们建立了一个逻辑回归模型来预测抑郁症状,并用接收器工作特征曲线下面积(AUC)评估了该模型的准确性。研究结果研究对象包括 500 名中青年女性癌症患者,中位年龄为 44 岁。抑郁症状的重要预测因素包括年龄较小、经济压力水平较高和自付医疗费用。对比分析表明,220 名患者表现出抑郁症状,与没有抑郁症状的患者(中位数年龄为 47 岁,p < 0.001)相比,这些患者的年龄普遍较小(中位数年龄为 41 岁)。在所有癌症类型中,抑郁症组患者的经济压力始终较高。与宫颈癌患者相比,卵巢癌患者患抑郁症的风险较低。内部验证的平均AUC为0.885,外部验证的AUC为0.872,突出表明了该模型的稳健性和可靠性。这些研究结果强调了人口、社会经济和临床因素在妇科癌症患者心理健康中的复杂相互作用,突出了采取有针对性的心理和经济支持干预措施的必要性。结论中国西南地区的妇科癌症患者面临着巨大的心理挑战,尤其是年轻女性和面临经济压力的女性。我们的预测模型有助于早期识别抑郁症高危人群,强调了整体护理的重要性。干预措施应侧重于心理和经济支持,以改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Unveiling the Hidden Burden: Exploring the Psychological Impact of Gynecological Cancers and Predictive Modeling of Depression in Southwest China

Objective. To explore the psychological impact of gynecological cancers on middle-aged women in Southwest China and identify the risk factors for moderate to severe depressive symptoms. Methods. This cross-sectional study included 500 patients from Southwest China, divided into two groups: depression (n = 220) and no depression (n = 280). Data on demographics, clinical characteristics, and socioeconomic factors were collected. We developed a logistic regression model to predict depressive symptoms and assessed its accuracy using the area under the receiver operating characteristic curve (AUC). Results. The study cohort consisted of 500 middle-aged and young female cancer patients with a median age of 44 years. Significant predictors of depressive symptoms included younger age, higher economic stress levels, and out-of-pocket medical expenses. A comparative analysis showed that 220 patients exhibited depression symptoms, with these patients being generally younger (median age 41 years) compared to those without depression (median age 47 years, p < 0.001). Economic stress was consistently higher in the depression group across all cancer types. Patients with ovarian cancer had a reduced risk of depression compared to those with cervical cancer. The predictive model demonstrated high accuracy in identifying depression risk, with an AUC of 0.888. Internal validation yielded an average AUC of 0.885, and external validation produced an AUC of 0.872, underscoring the model’s robustness and reliability. These findings emphasize the complex interplay of demographic, socioeconomic, and clinical factors in the psychological well-being of gynecological cancer patients, highlighting the need for tailored psychological and financial support interventions. Conclusion. Gynecological cancer patients in Southwest China experience significant psychological challenges, particularly younger women and those facing economic stress. Our predictive model can aid in early identification of those at risk for depression, emphasizing the importance of holistic care. Interventions should focus on both psychological and financial support to improve patient outcomes.

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来源期刊
Depression and Anxiety
Depression and Anxiety 医学-精神病学
CiteScore
15.00
自引率
1.40%
发文量
81
审稿时长
4-8 weeks
期刊介绍: Depression and Anxiety is a scientific journal that focuses on the study of mood and anxiety disorders, as well as related phenomena in humans. The journal is dedicated to publishing high-quality research and review articles that contribute to the understanding and treatment of these conditions. The journal places a particular emphasis on articles that contribute to the clinical evaluation and care of individuals affected by mood and anxiety disorders. It prioritizes the publication of treatment-related research and review papers, as well as those that present novel findings that can directly impact clinical practice. The journal's goal is to advance the field by disseminating knowledge that can lead to better diagnosis, treatment, and management of these disorders, ultimately improving the quality of life for those who suffer from them.
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