Determining the effect size of aerobic exercise training on the standard lipid profile in sedentary adults with three or more metabolic syndrome factors: a systematic review and meta-analysis of randomised controlled trials

有氧运动 医学 随机对照试验 物理疗法 血脂谱 内科学 人口 荟萃分析 单变量分析 代谢综合征 运动生理学 胆固醇 多元分析 肥胖 环境卫生
作者
Gina Wood,E. G. Taylor,Vanessa Ng,Anna Murrell,Aditya Patil,Tom van der Touw,Ronald J. Sigal,Mitch Wolden,Neil A. Smart
出处
期刊:British Journal of Sports Medicine [BMJ]
卷期号:56 (18): 1032-1041 被引量:36
标识
DOI:10.1136/bjsports-2021-103999
摘要

Objectives To estimate the change in the standard lipid profile (SLP) of adults diagnosed with ≥3 metabolic syndrome (MetS) factors following aerobic exercise training (AET); and to investigate whether study/intervention covariates are associated with this change. Design Systematic review with univariate meta-analysis and meta-regression. Data sources English language searches of online databases from inception until July 2020. Eligibility criteria (1) Published randomised controlled human trials with study population ≥10 per group; (2) sedentary adults with ≥3 MetS factors but otherwise free of chronic disease, not pregnant/lactating; (3) AET-only intervention with duration ≥12 weeks; and (4) reporting pre–post intervention SLP outcomes. Results Various univariate meta-analyses pooled 48 data sets of 2990 participants. Aerobic exercise training significantly ( P <.001) improved all lipids (mmol/L mean difference ranges, 95% CIs): total cholesterol, –0.19 (–0.26 to –0.12) to –0.29 (−0.36 to –0.21); triglycerides, −0.17 (–0.19 to –0.14) to –0.18 (−0.24 to –0.13); high-density lipoprotein-cholesterol (HDL-C), 0.05 (0.03 to 0.07) to 0.10 (0.05 to 0.15); and low-density lipoprotein-cholesterol (LDL-C), –0.12 (–0.16 to –0.9) to –0.20 (−0.25 to –0.14). Meta-regression showed that intensity may explain change in triglycerides and volume may explain change in HDL-C and LDL-C. Conclusion Aerobic exercise training positively changes the SLP of sedentary and otherwise healthy adults with ≥3 MetS factors. Adjusting AET intervention training variables may increase the effects of AET on triglycerides and HDL-C. PROSPERO registration number CRD42020151925.
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
gzy发布了新的文献求助10
刚刚
1秒前
xmxl完成签到,获得积分10
1秒前
2秒前
molihuakai应助wmbgmt采纳,获得10
2秒前
akko发布了新的文献求助50
3秒前
4秒前
4秒前
桃子完成签到,获得积分10
5秒前
5秒前
缓慢的可乐完成签到,获得积分10
6秒前
7秒前
藏羚羊发布了新的文献求助10
8秒前
Piggy完成签到,获得积分10
9秒前
大学士完成签到,获得积分10
9秒前
9秒前
10秒前
李丽婷发布了新的文献求助10
10秒前
乔达摩悉达多完成签到 ,获得积分0
10秒前
11秒前
doo完成签到,获得积分10
11秒前
12秒前
gmugyy完成签到,获得积分10
12秒前
沸羊羊应助心随以动采纳,获得10
12秒前
12秒前
李健的小迷弟应助小卡子采纳,获得10
12秒前
流星雨完成签到 ,获得积分10
12秒前
sunny发布了新的文献求助10
13秒前
赵坤煊完成签到 ,获得积分0
14秒前
luo关注了科研通微信公众号
14秒前
梅梅王发布了新的文献求助10
14秒前
15秒前
科研人完成签到,获得积分10
15秒前
zkkkkk发布了新的文献求助10
15秒前
Rch发布了新的文献求助10
16秒前
煜城发布了新的文献求助10
16秒前
科研通AI6.1应助小王梓采纳,获得100
17秒前
wang发布了新的文献求助20
17秒前
情怀应助月亮采纳,获得10
17秒前
12Nightz完成签到,获得积分10
18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
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 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 6365394
求助须知:如何正确求助?哪些是违规求助? 8179324
关于积分的说明 17241158
捐赠科研通 5420478
什么是DOI,文献DOI怎么找? 2867976
邀请新用户注册赠送积分活动 1845142
关于科研通互助平台的介绍 1692604