Reproducibility of Heart Rate Variability Indices at Post-maximal Exercise

作者
Jaqueline Alves de Araújo,Tiago Peçanha,Fabiula Isoton Novelli,César Siqueira Aleixes Mello,Daniel Moreira‐Gonçalves,Gisela Arsa,Lucieli Teresa Cambri
出处
期刊:International Journal of Sports Medicine [Thieme Medical Publishers (Germany)]
卷期号:41 (08): 512-519 被引量:12
标识
DOI:10.1055/a-1114-6297
摘要

To analyze whether heart rate variability is reproducible after maximal exercise, 11 men (22.1±3.2 years) performed four incremental exercise tests followed by passive or active recovery. There was high reliability (intraclass coefficient correlation: 0.72-0.96) and fair-to-excellent agreement (coefficient of variation: 7.81-22.09%) in passive recovery, as well as moderate-to-high reliability (intraclass coefficient correlation: 0.50-0.87) and good agreement (coefficient of variation: 11.08-20.89%) in active recovery for LnRMSSD index. There was moderate-to-high reliability (intraclass coefficient correlation: 0.51-0.81) and good agreement (coefficient of variation: 10.41-18.87%) in most of the analyzed time points, in both recovery types for LnSDNN. In both types of recovery, the time domain heart rate variability 5-10 min indices (passive: intraclass coefficient correlation : 0.87-0.88; coefficient of variation: 7.67-13.44%; active: intraclass coefficient correlation 0.59-0.80; coefficient of variation: 14.62-16.26%) presented higher intraclass coefficient correlation and lower coefficient of variation than the spectral heart rate variability indices (passive: intraclass coefficient correlation: 0.71-0.87; coefficient of variation: 12.33-34.21%; active: intraclass coefficient correlation: 0.46-0.77; coefficient of variation: 24.41-105.12%). The LnRMSSD and LnSDNN indices analyzed in 30 s segments and the heart rate variability 5-10 min indices after maximal exercise in untrained healthy men showed satisfactory reproducibility, regardless of the type of recovery, with the time-domain indices showing higher reproducibility than the frequency-domain indices.

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
刚刚
cosine完成签到,获得积分10
1秒前
滑腻腻的小鱼完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
李爱国应助binghe411采纳,获得10
2秒前
邢绿凝完成签到,获得积分10
3秒前
molihuakai应助QLG采纳,获得10
3秒前
3秒前
3秒前
Hx完成签到,获得积分10
3秒前
爆米花应助YaoHui采纳,获得20
3秒前
苦瓜94完成签到,获得积分10
4秒前
thhsun发布了新的文献求助10
4秒前
Hello应助jjbl采纳,获得30
4秒前
搜集达人应助科研不懂12采纳,获得10
4秒前
5秒前
无聊的行者完成签到,获得积分10
5秒前
5秒前
6秒前
乐乐应助科研通管家采纳,获得10
6秒前
6秒前
赘婿应助科研通管家采纳,获得10
6秒前
6秒前
鱼乐乐发布了新的文献求助10
6秒前
弦和发布了新的文献求助10
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
7秒前
斯文败类应助科研通管家采纳,获得10
7秒前
嘤嘤怪发布了新的文献求助10
7秒前
丘比特应助怡然的冰旋采纳,获得10
7秒前
所所应助科研通管家采纳,获得10
7秒前
华仔应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
Owen应助科研通管家采纳,获得10
7秒前
Ava应助科研通管家采纳,获得30
8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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7615635
求助须知:如何正确求助?哪些是违规求助? 9190903
关于积分的说明 19694143
捐赠科研通 7188200
什么是DOI,文献DOI怎么找? 3271416
关于科研通互助平台的介绍 2434568
邀请新用户注册赠送积分活动 2266456