Regular exercise and patterns of response across multiple cardiometabolic traits: the HERITAGE family study

医学 家庭研究 心理学 遗传学 生物
作者
Jacob L. Barber,Jonathan J. Ruiz‐Ramie,Jeremy Robbins,Robert E. Gerszten,Arthur S. Leon,D. C. Rao,James S. Skinner,Claude Bouchard,Mark A. Sarzynski
出处
期刊:British Journal of Sports Medicine [BMJ]
卷期号:56 (2): 95-100 被引量:16
标识
DOI:10.1136/bjsports-2020-103323
摘要

OBJECTIVES: We investigated whether high responsiveness or low responsiveness to exercise training aggregates in the same individuals across seven cardiometabolic traits. METHODS: max, per cent body fat, visceral adipose tissue, fasting levels of insulin, high-density lipoprotein cholesterol, small low-density lipoprotein particles and inflammatory marker GlycA measured before and after training. For each exercise response trait, we created ethnicity-specific, sex-specific and generation-specific quintiles. High responses were defined as those within the 20th percentile representing the favourable end of the response trait distribution, low responses were defined as the 20th percentile from the least favourable end, and the remaining were labelled as average responses. RESULTS: Only one individual had universally high or low responses for all seven cardiometabolic traits. Almost half (49%) of the cohort had at least one high response and one low response across the seven traits. About 24% had at least one high response but no low responses, 24% had one or more low responses but no high responses, and 2.5% had average responses across all traits. CONCLUSIONS: Interindividual variation in exercise responses was evident in all the traits we investigated, and responsiveness did not aggregate consistently in the same individuals. While adherence to an exercise prescription is known to produce health benefits, targeted risk factors may not improve.
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
2秒前
科研通AI6.4应助36G采纳,获得10
2秒前
2秒前
郭氧化氢完成签到,获得积分10
3秒前
乐观夜白发布了新的文献求助10
3秒前
科研小呆瓜完成签到,获得积分10
3秒前
良晤完成签到,获得积分10
3秒前
lilac完成签到,获得积分10
4秒前
4秒前
4秒前
陈登应助YY采纳,获得10
4秒前
Cici完成签到,获得积分10
4秒前
脑洞疼应助科研通管家采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
4秒前
lsy发布了新的文献求助10
5秒前
Ascent应助科研通管家采纳,获得10
5秒前
隐形曼青应助科研通管家采纳,获得10
5秒前
aajhajkahna应助科研通管家采纳,获得10
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
5秒前
打打应助科研通管家采纳,获得10
5秒前
我是老大应助灵巧的大开采纳,获得10
5秒前
斯文败类应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
逝水流年完成签到,获得积分10
6秒前
6秒前
科研通AI6.2应助小t001采纳,获得10
7秒前
阴歌圩阳给阴歌圩阳的求助进行了留言
7秒前
直率雪曼发布了新的文献求助10
7秒前
7秒前
情怀应助Colin采纳,获得10
9秒前
9秒前
free发布了新的文献求助10
9秒前
研友_nqv5WZ完成签到 ,获得积分10
10秒前
10秒前
11秒前
11秒前
12秒前
LlLly发布了新的文献求助10
13秒前
zzz发布了新的文献求助20
14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
Single Cell Analysis of the Tumor Microenvironment Landscape Across the Disease Spectrum of Multiple Myeloma 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
The Cambridge History of China 英文版16册 600
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
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 7328972
求助须知:如何正确求助?哪些是违规求助? 8943503
关于积分的说明 18970001
捐赠科研通 6984598
什么是DOI,文献DOI怎么找? 3216390
关于科研通互助平台的介绍 2383106
邀请新用户注册赠送积分活动 2195877