Depression Among Chronic Pain Patients

萧条(经济学) 医学 慢性疼痛 贝克抑郁量表 内科学 可视模拟标度 病历 物理疗法 生活质量(医疗保健) 精神科 焦虑 宏观经济学 护理部 经济
作者
I. Berrahal,B. Ayadi,Michel Haddad
出处
期刊:European Psychiatry [Cambridge University Press]
卷期号:41 (S1): S708-S708 被引量:3
标识
DOI:10.1016/j.eurpsy.2017.01.1262
摘要

Introduction Patients with chronic pain are more likely to develop depression, which is associated with decreased function, poorer treatment response and poor quality of life. Objective This study aimed to determine the prevalence of depression in patients with chronic pain. Methods This descriptive cross-sectional study was conducted among clinically diagnosed chronic pain patients from the pain management ward of La Rabta hospital in Tunisia over a period of six months. Sociodemographic and clinical data were obtained from patients’ interviews and medical records. The Beck depression inventory (BDI) was used for screening depression diagnoses and the Visual analogue scale (VAS) to assess the severity of pain. Results The sample included 102 patients with a mean age of 46.4 ± 10.4 years. The majority of the patients were females (72.5%, n = 74), married (83.3%, n = 85) and being employed (58.8%, n = 60). The prevalence of depression was (40.1%, n = 41). The mean duration of pain was 3.6 ± 1.5 years. The severity of pain was mild in 28 cases (19.3%), moderate in 36 cases (31.3%) and severe in 38 cases (49.4%). Depression was significantly associated with the duration of pain ( P < 0.01). A positive correlation was observed between pain severity assessed by VAS and BDI ( r = 0.521, P = 001). Depression was significantly associated with the duration of pain ( P < 0.01). Conclusions Depression is frequent in patients who suffer from chronic pain and it was significantly associated with the duration and the severity of pain. Antidepressants and psychological therapies can be effective and should be delivered as part of a multidisciplinary pain management plan. Disclosure of interest The authors have not supplied their declaration of competing interest.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Zhidong Wei发布了新的文献求助10
1秒前
1秒前
香蕉觅云应助美好斓采纳,获得10
2秒前
3秒前
xiabia完成签到,获得积分10
3秒前
zhubin完成签到,获得积分10
3秒前
CodeCraft应助科研通管家采纳,获得30
3秒前
乐乐应助科研通管家采纳,获得10
3秒前
zyy6657完成签到,获得积分10
3秒前
隐形曼青应助科研通管家采纳,获得10
3秒前
4秒前
小马甲应助飞飞采纳,获得10
4秒前
充电宝应助Panax采纳,获得10
5秒前
AAAAA完成签到 ,获得积分10
5秒前
佳2发布了新的文献求助10
6秒前
默默尔安完成签到 ,获得积分10
6秒前
科研通AI2S应助Raunio采纳,获得10
7秒前
8秒前
周凡淇发布了新的文献求助10
10秒前
10秒前
ExcitedFrog发布了新的文献求助10
11秒前
12秒前
美好斓发布了新的文献求助10
13秒前
15秒前
林与故事完成签到 ,获得积分10
15秒前
星辰大海应助一年八篇sci采纳,获得10
15秒前
chen完成签到,获得积分10
15秒前
15秒前
16秒前
ExcitedFrog完成签到,获得积分10
16秒前
汤襄发布了新的文献求助10
16秒前
charliechen完成签到 ,获得积分10
16秒前
Zhidong Wei完成签到,获得积分10
17秒前
紧张的颤完成签到 ,获得积分10
17秒前
17秒前
科研通AI2S应助MA采纳,获得10
18秒前
飞飞发布了新的文献求助10
19秒前
Panax完成签到,获得积分10
19秒前
yangshujuan完成签到,获得积分20
20秒前
煦白发布了新的文献求助10
20秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3122894
求助须知:如何正确求助?哪些是违规求助? 2773252
关于积分的说明 7717119
捐赠科研通 2428750
什么是DOI,文献DOI怎么找? 1290033
科研通“疑难数据库(出版商)”最低求助积分说明 621678
版权声明 600188