Prevalence and Associated Factors of Anxiety and Depression in Lung Cancer Patients

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
出处
期刊:Clinical and Experimental Pharmacology and Physiology [Wiley]
卷期号:52 (10): e70065-e70065 被引量:1
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
shuaixiaoyu完成签到,获得积分10
1秒前
执着的秋柳完成签到,获得积分10
2秒前
文Wen应助科研通管家采纳,获得10
2秒前
youzi应助科研通管家采纳,获得20
3秒前
molihuakai应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
bkagyin应助科研通管家采纳,获得10
3秒前
Nole应助科研通管家采纳,获得200
3秒前
lll发布了新的文献求助10
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
Orange应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
张大灰发布了新的文献求助10
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
4秒前
科研大佬应助科研通管家采纳,获得10
4秒前
英俊的铭应助科研通管家采纳,获得10
4秒前
豆奶发布了新的文献求助10
4秒前
顾矜应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
研友_VZG7GZ应助科研通管家采纳,获得10
5秒前
Akim应助科研通管家采纳,获得10
5秒前
传奇3应助科研通管家采纳,获得10
5秒前
乘风发布了新的文献求助10
5秒前
bs发布了新的文献求助10
7秒前
MauriceH发布了新的文献求助10
7秒前
有风完成签到,获得积分10
7秒前
阿恰路亚发布了新的文献求助10
8秒前
polystyrene发布了新的文献求助10
9秒前
yueqi完成签到,获得积分10
9秒前
清脆的士晋完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Positive Art Therapy Theory and Practice 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Key mechanistic insights into the intramolecular C-H bond amination and double bond aziridination in sulfamate esters catalyzed by dirhodium tetracarboxylate complexes 500
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7672013
求助须知:如何正确求助?哪些是违规求助? 9239085
关于积分的说明 19898695
捐赠科研通 7241539
什么是DOI,文献DOI怎么找? 3285228
关于科研通互助平台的介绍 2443400
邀请新用户注册赠送积分活动 2287368