Comparative efficacy of various exercise types and doses for depression in older adults: a systematic review of paired, network and dose–response meta-analyses

医学 荟萃分析 萧条(经济学) 心理信息 严格标准化平均差 置信区间 随机对照试验 物理疗法 奇纳 有氧运动 致盲 内科学 梅德林 心理干预 精神科 经济 宏观经济学 政治学 法学
作者
Shudong Tian,Zhide Liang,Mengmeng Tian,Fanghui Qiu,Yaojun Yu,Hong Mou,Yan Gao
出处
期刊:Age and Ageing [Oxford University Press]
卷期号:53 (10)
标识
DOI:10.1093/ageing/afae211
摘要

Abstract Objectives We assessed the effects of different exercise modalities and doses on depression levels in older adults. Methods Systematic searches of the PubMed, Web of Science, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Scopus databases were conducted from the start of database construction until December 2023. Studies were included if they were randomised controlled trials (RCTs) of exercise interventions in older adults. Pairwise, network and dose-network meta-analyses were conducted using random-effects models for the outcome of depression in older adults. Results A total of 80 RCTs with 5536 participants were included in this study. Network meta-analyses showed that resistance exercise [standardized mean difference (SMD) = − 0.68, 95% confidence interval (CI): − 0.90, − 0.46] and mind–body exercise (MBE; SMD = − 0.54, 95% CI: − 0.72, − 0.37) were the most effective forms of exercise for improving depression in older adults, followed by aerobic exercise (SMD = − 0.31, 95% CI: − 0.50, − 0.13) and mixed exercise (SMD = − 0.23, 95% CI: − 44, − 0.01). In addition, a U-shaped dose–response relationship was found between overall exercise dose and depression levels in older adults, and a significant response was seen after 390 metabolic equivalent (MET)-min/week. Conclusions Our study determined the effectiveness of different exercises in improving levels of older adults and found that resistance exercise and MBE were more effective adjunctive treatments. By providing the most effective treatments, older adults can reap the benefits of improving depression in older adults at doses lower than the World Health Organization guidelines.
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
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
小爷完成签到,获得积分10
3秒前
Yuan应助小月半采纳,获得10
5秒前
CipherSage应助zhangkx23采纳,获得10
5秒前
7秒前
博弈春秋发布了新的文献求助10
8秒前
泥娃娃完成签到,获得积分10
8秒前
传奇3应助mingzheng采纳,获得10
9秒前
佳佳完成签到,获得积分10
10秒前
10秒前
泥巴完成签到,获得积分10
10秒前
11秒前
加菲丰丰应助Victoria采纳,获得50
11秒前
12秒前
yy发布了新的文献求助30
14秒前
可爱的函函应助博弈春秋采纳,获得10
14秒前
叶潭发布了新的文献求助10
17秒前
19秒前
唐煜城完成签到,获得积分10
19秒前
寻寻~完成签到 ,获得积分10
21秒前
123456完成签到,获得积分10
22秒前
充电宝应助Sekiro采纳,获得10
22秒前
mingzheng完成签到,获得积分10
23秒前
23秒前
after完成签到 ,获得积分10
25秒前
姚子敏发布了新的文献求助10
26秒前
26秒前
mingzheng发布了新的文献求助10
27秒前
kaizt完成签到,获得积分10
29秒前
29秒前
30秒前
今后应助图图采纳,获得10
30秒前
B1ackSugar发布了新的文献求助10
31秒前
zhangkx23发布了新的文献求助10
32秒前
aki空中飞跃完成签到,获得积分10
34秒前
糖果呖咕呖咕完成签到,获得积分10
34秒前
文艺往事发布了新的文献求助20
35秒前
Jacky77发布了新的文献求助10
35秒前
39秒前
深情安青应助aki空中飞跃采纳,获得10
39秒前
hhh123完成签到,获得积分10
39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 3122973
求助须知:如何正确求助?哪些是违规求助? 2773442
关于积分的说明 7717799
捐赠科研通 2428969
什么是DOI,文献DOI怎么找? 1290074
科研通“疑难数据库(出版商)”最低求助积分说明 621705
版权声明 600220