An Efficient Screening Tool for Preoperative Depression: The Geriatric Depression Scale-Short Form

作者
Diana S. Bass,Deborah K. Attix,Barbara Phillips‐Bute,Terri G. Monk
出处
期刊:Anesthesia & Analgesia [Lippincott Williams & Wilkins]
卷期号:106 (3): 805-809 被引量:37
标识
DOI:10.1213/ane.0b013e318163fa75
摘要

BACKGROUND: Depression is highly prevalent in patients before surgery, and it has been widely shown to have a serious impact on their postoperative outcomes. It would therefore be desirable for physicians to obtain a quick, simple screen to evaluate depression to consider treatment of symptomatology and potentially optimize postoperative outcomes. METHODS: In this study, we investigated the prevalence of depression in a presurgical inpatient sample undergoing major, noncardiac surgery. In addition, we sought to establish the Geriatric Depression Scale-Short Form (GDS-SF) as a valid screening tool for depression by examining its relationship to the Beck Depression inventory (BDI) by age and gender. RESULTS: In our sample of 1043 presurgical candidates, prevalence of depression as established by the BDI was significantly higher than rates consistently found in healthy community samples. Depression was more common in women than in men (P = 0.02), and depression rates were lower in elders relative to middle-aged and younger groups (P = 0.003 and 0.003, respectively). In addition, we found that there was a high correlation between the BDI and the GDS-SF within each of the age groups. CONCLUSIONS: These data further support the need for depression screens in presurgical populations and establish the validity of the GDS-SF as a valid quick assessment alternative available to physicians.

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
1秒前
tiara完成签到,获得积分10
2秒前
贪玩的刚完成签到,获得积分10
4秒前
平淡金毛完成签到,获得积分20
5秒前
pcm发布了新的文献求助10
5秒前
两张发布了新的文献求助10
6秒前
1903发布了新的文献求助10
7秒前
烟花应助聪慧剑封采纳,获得10
8秒前
hanying发布了新的文献求助10
8秒前
Dave完成签到,获得积分10
9秒前
张鑫悦完成签到,获得积分10
10秒前
11秒前
我是老大应助shary采纳,获得10
12秒前
12秒前
14秒前
小蘑菇应助Han采纳,获得10
14秒前
FashionBoy应助两张采纳,获得10
15秒前
瑕灬发布了新的文献求助10
16秒前
赘婿应助xuan采纳,获得10
16秒前
张欢馨应助书尘采纳,获得10
17秒前
深情安青应助书尘采纳,获得10
17秒前
17秒前
英俊的铭应助书尘采纳,获得10
17秒前
清爽松鼠完成签到,获得积分10
19秒前
小蘑菇应助言音采纳,获得10
20秒前
想发JHM完成签到,获得积分10
21秒前
桐桐应助科研通管家采纳,获得10
21秒前
22秒前
大模型应助科研通管家采纳,获得10
22秒前
22秒前
丘比特应助科研通管家采纳,获得10
22秒前
隆咚锵发布了新的文献求助10
22秒前
pluto应助科研通管家采纳,获得10
22秒前
22秒前
大个应助科研通管家采纳,获得10
23秒前
打打应助科研通管家采纳,获得10
23秒前
瑕灬完成签到,获得积分10
23秒前
24秒前
嘿哈嘿发布了新的文献求助10
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7583692
求助须知:如何正确求助?哪些是违规求助? 9162363
关于积分的说明 19606904
捐赠科研通 7165670
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431200
邀请新用户注册赠送积分活动 2257786