Acupuncture is as Effective as Exercise for Improvement of Chronic Neck Pain: A Randomized Clinical Trial

医学 针灸科 颈部疼痛 随机对照试验 物理疗法 可视模拟标度 临床试验 外科 内科学 替代医学 病理
作者
Parisa Nejati,Reza Mousavi,Hooman Angoorani
出处
期刊:shiraz e medical journal [Kowsar Medical Institute]
卷期号:22 (3) 被引量:6
标识
DOI:10.5812/semj.97497
摘要

Background: Exercise therapy is a standard method used for alleviation of chronic neck pain (CNP). However, few studies have compared the efficacy of acupuncture to exercise therapy on functional improvement and pain reduction. Acupuncture will cause more pain relief and functional improvement compared to exercise therapy in the patients with CNP. Methods: A randomized clinical trial was conducted in Rasool-e-Akram Hospital from September 2017 to October 2018. A total of 68 patients with CNP were randomized to receive either exercise therapy or acupuncture. Clinical outcome was documented at baseline, after 6 and 12 weeks based on the Neck Disability Index (NDI) and the Neck Pain and Disability Scale (NPDS). Results: In patients treated with acupuncture, mean NPDS and NDI values were 56.309 and 20.35, respectively. In patients undergoing physical therapy these values were 52.912 and 21.50, respectively. No significant difference in pain and function was observed between the two groups at the final follow-up (P > 0.05). Likewise, neck pain and function improved significantly in both groups at the follow-up points (P < 0.001). Conclusions: In the patients with CNP and radicular neck pain, acupuncture and exercise therapy were equally effective on pain reduction and functional improvement.
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
lily完成签到,获得积分10
刚刚
杰森斯坦虎完成签到,获得积分10
刚刚
没有昵称完成签到,获得积分10
刚刚
Orange应助心神依然采纳,获得10
刚刚
羊羊羊完成签到,获得积分10
刚刚
CAESARTANG发布了新的文献求助10
1秒前
1秒前
木子完成签到 ,获得积分10
2秒前
慧慧发布了新的文献求助10
2秒前
2秒前
SGI发布了新的文献求助10
2秒前
2秒前
2秒前
才富郭完成签到 ,获得积分10
3秒前
ekm7k发布了新的文献求助10
3秒前
4秒前
今日不再蛇皇给今日不再蛇皇的求助进行了留言
4秒前
4秒前
JYX完成签到 ,获得积分10
4秒前
huhu发布了新的文献求助10
4秒前
思源应助美好幻灵采纳,获得10
5秒前
年轻寒蕾完成签到,获得积分10
5秒前
6秒前
6秒前
ewetylgkhlj发布了新的文献求助10
6秒前
dabihu完成签到,获得积分10
7秒前
ZJX完成签到,获得积分10
7秒前
小刺猬完成签到,获得积分10
7秒前
kryie发布了新的文献求助10
8秒前
8秒前
fk完成签到,获得积分10
8秒前
高越发布了新的文献求助10
8秒前
奇客完成签到,获得积分10
9秒前
ff完成签到,获得积分10
9秒前
圆1223完成签到 ,获得积分20
9秒前
fancyyyy完成签到,获得积分10
9秒前
9秒前
10秒前
fk发布了新的文献求助30
10秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
On translated images, stereotypes and disciplines 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
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 3834344
求助须知:如何正确求助?哪些是违规求助? 3376864
关于积分的说明 10495644
捐赠科研通 3096375
什么是DOI,文献DOI怎么找? 1704930
邀请新用户注册赠送积分活动 820309
科研通“疑难数据库(出版商)”最低求助积分说明 771966