Does resistance training ameliorate cancer-related fatigue in cancer survivors? A systematic review with meta-analysis

荟萃分析 癌症相关疲劳 癌症 阻力训练 医学 系统回顾 抗性(生态学) 梅德林 心理学 物理疗法 内科学 生物 生态学 生物化学
作者
Luke Gray,Paul Sindall,Stephen J. Pearson
出处
期刊:Disability and Rehabilitation [Informa]
卷期号:46 (11): 2213-2222 被引量:5
标识
DOI:10.1080/09638288.2023.2226408
摘要

Purpose Cancer-related fatigue (CRF) is unrelenting. As neither rest nor sleep ameliorates cognitive, emotional, and physical symptoms, quality of life is diminished. This study examines resistance training (RT) effectiveness on CRF in cancer survivors. The secondary aims were to identify the dose-response relationship of RT frequency, intensity, and volume on CRF in different cancer survivor populations.Materials and methods Systematic searches via numerous databases for RCTs were performed in June 2022. Patient-reported outcome measures (PROM), were analysed, pre-to-post intervention, using a random-effects model. The Physiotherapy Evidence Database (PEDro) scale informed methodological quality assessment.Results Eight studies were included (cancer survivors: breast (BCS) = 5; endometrial (ECS) = 1; prostate (PCS) = 2). Overall, RT interventions ≥ 6 weeks elicited large significant reductions in CRF for FACIT-F (SMD = 0.932, p = <0.001) and moderate significant reductions in CRF for PFS-R (SMD = −0.622, p = 0.004).Conclusion Main findings indicate that RT ameliorates CRF, especially in BCS; however, individualised approaches should be advocated. Supervised training elicited the greatest positive outcomes, thus should be a pivotal part of the cancer rehabilitation pathway. Future studies should be adequately powered, undertake discrete analyses of different cancer types, and investigate chronic RT effects.

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
林深完成签到,获得积分10
刚刚
1秒前
传统的襄发布了新的文献求助10
1秒前
1秒前
1秒前
AA发布了新的文献求助10
2秒前
2秒前
优雅女士完成签到,获得积分10
2秒前
zyl完成签到,获得积分10
3秒前
成就的鞋垫完成签到 ,获得积分10
3秒前
loii应助小李叭叭采纳,获得20
3秒前
3秒前
汉堡包应助小飞采纳,获得10
3秒前
4秒前
LS发布了新的文献求助10
5秒前
king完成签到,获得积分10
5秒前
6秒前
生动枫完成签到,获得积分10
6秒前
6秒前
柔弱无血完成签到,获得积分10
6秒前
7秒前
ZhiningZ完成签到 ,获得积分0
7秒前
蓄力酥油木完成签到,获得积分10
7秒前
明明完成签到,获得积分10
8秒前
134345发布了新的文献求助10
8秒前
SciGPT应助图南采纳,获得10
8秒前
9秒前
peekaboo完成签到,获得积分10
9秒前
9秒前
kk发布了新的文献求助10
9秒前
英勇的雪碧完成签到 ,获得积分10
9秒前
顽石完成签到,获得积分10
9秒前
女朋友跟玩地狱火的小学生跑了完成签到,获得积分10
10秒前
10秒前
denghuiying完成签到,获得积分10
10秒前
无为完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
flawless完成签到,获得积分10
12秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 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 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 6345536
求助须知:如何正确求助?哪些是违规求助? 8160106
关于积分的说明 17161006
捐赠科研通 5401603
什么是DOI,文献DOI怎么找? 2860893
邀请新用户注册赠送积分活动 1838669
关于科研通互助平台的介绍 1688130