Course of distress, anxiety, and depression in hematological cancer patients: Association between gender and grade of neoplasm

焦虑 苦恼 萧条(经济学) 医院焦虑抑郁量表 医学 癌症 内科学 前瞻性队列研究 精神科 心理学 临床心理学 宏观经济学 经济
作者
Cristiane Decat Bergerot,Karen Clark,Alexandre Nonino,Sarah Waliany,Marco Murilo Buso,Matthew Loscalzo
出处
期刊:Palliative & Supportive Care [Cambridge University Press]
卷期号:13 (2): 115-123 被引量:66
标识
DOI:10.1017/s1478951513000849
摘要

Abstract Objective: The aim of our study was to explore the impact of gender and hematological cancer grade on distress, anxiety, and depression in patients receiving chemotherapy. Methods: A prospective study was done in a cohort of 104 patients with hematological cancer. We employed the (1) Distress Thermometer (DT) and the Problem List (PL) and (2) the Hospital Anxiety and Depression Scale (HADS) for assessments at baseline (T1), the halfway timepoint (T2), and completion of chemotherapy (T3). Results: The proportion of patients experiencing significant distress (DT ≥ 4) decreased from the first to the last timepoint; the proportion experiencing anxiety and depression (as assessed by HADS) also decreased. Specifically, 50% of participants reported significant distress levels, 47.1% anxiety, and 26% depression at T1. At T2, the proportion of patients experiencing distress was reduced by 60.8%, by 76% for anxiety, and by 48.5% for depression; at T3, the reduction was close to 80% for all assessments compared with T1. Emotional and physical problems were most commonly reported. Significant reductions were discovered for distress and problem-related distress levels over time, and a significant interaction was found between gender and practical and physical problems ( p < 0.05). Significance of results: Our findings suggest that female patients reported more distress, anxiety, and depression than male patients. Gender differences were related to problem-related distress but not to grade of neoplasm. We observed that, over the course of chemotherapy, the distress levels of patients with hematological cancer decrease over time.
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
科研通AI5应助去玩儿采纳,获得10
1秒前
Georgechan完成签到,获得积分10
1秒前
1秒前
查理fofo完成签到,获得积分10
2秒前
2秒前
mmmm发布了新的文献求助10
2秒前
冯婷完成签到 ,获得积分10
2秒前
3秒前
科研通AI5应助cml采纳,获得10
3秒前
sunnn完成签到 ,获得积分10
3秒前
4秒前
所所应助完好采纳,获得10
4秒前
5秒前
不舍天真发布了新的文献求助10
5秒前
qifeng完成签到,获得积分10
5秒前
lixinlong发布了新的文献求助10
5秒前
5秒前
7秒前
haitianluna完成签到,获得积分20
7秒前
遇见发布了新的文献求助10
8秒前
8秒前
9秒前
小雨发布了新的文献求助20
9秒前
CipherSage应助zimo采纳,获得10
9秒前
jj发布了新的文献求助10
10秒前
Anan完成签到,获得积分10
10秒前
10秒前
赎罪发布了新的文献求助10
10秒前
DYXX完成签到,获得积分10
11秒前
11秒前
秋丶凡尘应助星辰采纳,获得10
11秒前
小余同学发布了新的文献求助10
12秒前
英俊的铭应助大饼卷肉采纳,获得10
12秒前
刘刘发布了新的文献求助10
12秒前
SciGPT应助大饼卷肉采纳,获得10
12秒前
香蕉觅云应助大饼卷肉采纳,获得10
12秒前
可爱的函函应助大饼卷肉采纳,获得10
12秒前
领导范儿应助大饼卷肉采纳,获得10
12秒前
12秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Polymer handbook 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The CRISPR–Cas system in clinical strains of Acinetobacter baumannii: an in-silico analysis 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3828888
求助须知:如何正确求助?哪些是违规求助? 3371283
关于积分的说明 10467355
捐赠科研通 3091144
什么是DOI,文献DOI怎么找? 1700767
邀请新用户注册赠送积分活动 818016
科研通“疑难数据库(出版商)”最低求助积分说明 770678