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:11
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 A total of 564 adults (29.2% black, 53.7% female) from the HERITAGE family study completed a 20-week endurance training programme (at 55%–75% of participants’ maximal oxygen uptake (VO 2 max)) with VO 2 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.

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
xzz发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
许个愿完成签到,获得积分10
2秒前
3秒前
3秒前
ELSA发布了新的文献求助10
4秒前
4秒前
4秒前
夏小安完成签到,获得积分10
5秒前
5秒前
科目三应助阿北采纳,获得10
5秒前
研友_8YKmvn完成签到,获得积分10
5秒前
加菲丰丰应助神勇的天问采纳,获得20
5秒前
6秒前
6秒前
planb发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
Yu发布了新的文献求助10
7秒前
yaya发布了新的文献求助10
8秒前
懦弱的丹秋完成签到,获得积分10
8秒前
共享精神应助端庄的曼凝采纳,获得10
9秒前
9秒前
shusheng_song发布了新的文献求助10
9秒前
like发布了新的文献求助10
9秒前
9秒前
9秒前
9秒前
ning发布了新的文献求助10
9秒前
天天快乐应助冷静初蓝采纳,获得10
10秒前
10秒前
呆萌初南发布了新的文献求助10
10秒前
10秒前
爱听歌宝马完成签到 ,获得积分10
10秒前
无辜蚂蚁完成签到,获得积分10
10秒前
zyq完成签到 ,获得积分10
11秒前
11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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039643
求助须知:如何正确求助?哪些是违规求助? 7770373
关于积分的说明 16227396
捐赠科研通 5185621
什么是DOI,文献DOI怎么找? 2775054
邀请新用户注册赠送积分活动 1757877
关于科研通互助平台的介绍 1641936