焦虑
萧条(经济学)
医院焦虑抑郁量表
医学
肺癌
心理干预
逻辑回归
多元分析
单变量分析
精神科
临床心理学
内科学
宏观经济学
经济
作者
Xinran Gao,Maoying Guan,Bing Bo,Wencheng Zhao,Lihua Huang,Yayi He
标识
DOI:10.1111/1440-1681.70065
摘要
ABSTRACT Purpose Given the prevalence of anxiety and depression amongst lung cancer patients in China, it is critical to identify potential factors contributing to these symptoms to improve future treatment strategies. However, current research has primarily focused on clinical variables, leaving various sociodemographic factors largely underexplored. Examining these aspects is essential for enhancing clinical interventions and patient care, as sociodemographic factors can significantly influence psychological outcomes. Methods A total of 486 lung cancer patients were included in the study. Data on anxiety and depression were collected using the Hospital Anxiety and Depression Scale (HADS), and sociodemographic information was gathered via a structured questionnaire. Clinical data was retrieved from the hospital's database. Univariate analysis and multivariate logistic regression were applied to identify sociodemographic and clinical factors that were significantly associated with anxiety and depression. Results The findings revealed prevalence rates of 24.07% for anxiety and 25.72% for depression. Local residency in Shanghai, internet use, financial strain, and advanced cancer stages (III or IV) were associated with a higher level of both anxiety and depression. Having a university/college education or higher was solely linked with increased anxiety levels. Conclusion Local residency, internet use, financial strain, cancer stage, and educational background are key predictors of anxiety and depression amongst lung cancer patients. It is crucial for healthcare professionals to monitor and support the mental well‐being of lung cancer patients, especially those affected by these identified factors.
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