Aromatherapy with inhalation can effectively improve the anxiety and depression of cancer patients: A meta-analysis

芳香疗法 医学 吸入 焦虑 荟萃分析 萧条(经济学) 癌症 肺癌 内科学 肿瘤科 精神科 替代医学 宏观经济学 病理 经济
作者
Tingting Liu,Hui Cheng,Li Tian,Yueyue Zhang,Shaotong Wang,Lin Lü
出处
期刊:General Hospital Psychiatry [Elsevier BV]
卷期号:77: 118-127 被引量:65
标识
DOI:10.1016/j.genhosppsych.2022.05.004
摘要

This meta-analysis was to critically evaluate the effects of aromatherapy on the symptoms of anxiety and depression in cancer patients.Eight Chinese and English databases (CNKI, Wanfang, VIP, CBM, Cochrane Library, PubMed, Embase, and PsycINFO) were systematically searched from the inception of databases to October 2021 for randomized controlled trials (RCTs). According to Cochrane Collaboration criteria, two reviewers independently assessed the risk of bias and extract data from included studies. All analyses were performed with Review Manager 5.4.Eleven qualified studies were included in the meta-analysis, ten of which reported the effect of aromatherapy on anxiety in cancer patients, including 1724 patients; five of the studies reported the effect on depression, including 1039 patients. The quality of the included studies was low, and most studies compared aromatherapy to usual care. This meta-analysis indicated that aromatherapy appeared to be effective for anxiety [SMD = -0.51, 95%CI (-0.83, -0.19), P = 0.002] and depression [SMD = -0.44, 95%CI (-0.76, -0.12), P = 0.008] symptoms in cancer patients. Inhalation aromatherapy may be more effective than massage. Aromatherapy seemed to improve the anxiety symptoms in cancer patients in a short time, especially in perioperative patients, but had no effect for patients treated with radiation, chemotherapy or palliative therapy. Placebo also appeared to be effective in some studies.Aromatherapy, especially inhalation aromatherapy, may help relieve symptoms of anxiety and depression in cancer patients, but more and higher-quality studies are needed. The literature does not yet support clinical implementation.
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
xuan完成签到,获得积分10
刚刚
科研蛀虫完成签到 ,获得积分10
刚刚
夏雨完成签到,获得积分10
刚刚
1秒前
Gandiva发布了新的文献求助10
2秒前
fys完成签到,获得积分10
2秒前
xh完成签到 ,获得积分10
2秒前
麦子发布了新的文献求助10
2秒前
3秒前
keyanyan完成签到,获得积分10
3秒前
畅畅儿歌完成签到,获得积分10
4秒前
YOUNG-M完成签到,获得积分10
4秒前
hana完成签到,获得积分10
4秒前
Willa应助b不为谁而作的歌采纳,获得10
5秒前
天天快乐应助研友_LmVygn采纳,获得10
6秒前
li完成签到,获得积分10
6秒前
自觉谷南发布了新的文献求助10
6秒前
精明芷巧完成签到 ,获得积分10
6秒前
nihao完成签到,获得积分10
6秒前
godblessyou应助charry采纳,获得10
7秒前
EMP完成签到,获得积分20
7秒前
ll完成签到 ,获得积分10
7秒前
能干戒指完成签到,获得积分10
7秒前
宫野志保发布了新的文献求助30
8秒前
温茹完成签到 ,获得积分10
9秒前
freshabc完成签到,获得积分10
9秒前
华仔应助liu采纳,获得10
9秒前
小花完成签到 ,获得积分10
10秒前
小猫吃鱼完成签到,获得积分10
10秒前
zyy完成签到,获得积分10
10秒前
littlebenk完成签到,获得积分10
11秒前
wanci应助月亮采纳,获得10
11秒前
传奇3应助陌路孤星采纳,获得10
11秒前
微微发布了新的文献求助20
12秒前
咎淇完成签到,获得积分10
13秒前
LW完成签到,获得积分10
14秒前
erkk完成签到,获得积分20
14秒前
14秒前
ding应助Gandiva采纳,获得10
14秒前
yd完成签到,获得积分10
14秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6474264
求助须知:如何正确求助?哪些是违规求助? 8277071
关于积分的说明 17648633
捐赠科研通 5554880
什么是DOI,文献DOI怎么找? 2909942
邀请新用户注册赠送积分活动 1886699
关于科研通互助平台的介绍 1739255