Literature DB >> 33619128

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

Jacob L Barber1, Jonathan J Ruiz-Ramie1, Jeremy M Robbins2, Robert E Gerszten2, Arthur S Leon3, D C Rao4, James S Skinner5, Claude Bouchard6, Mark A Sarzynski7.   

Abstract

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 (VO2max)) with VO2max, 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. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  exercise physiology; exercise training

Mesh:

Substances:

Year:  2021        PMID: 33619128      PMCID: PMC8380259          DOI: 10.1136/bjsports-2020-103323

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  43 in total

Review 1.  Individual differences in response to regular physical activity.

Authors:  C Bouchard; T Rankinen
Journal:  Med Sci Sports Exerc       Date:  2001-06       Impact factor: 5.411

2.  Reproducibility of anthropometric and body composition measurements: the HERITAGE Family Study.

Authors:  J H Wilmore; P R Stanforth; M A Domenick; J Gagnon; E W Daw; A S Leon; D C Rao; J S Skinner; C Bouchard
Journal:  Int J Obes Relat Metab Disord       Date:  1997-04

3.  [On a rapid determination of the cholesterol bound to the serum alpha- and beta-lipoproteins].

Authors:  M BURSTEIN; J SAMAILLE
Journal:  Clin Chim Acta       Date:  1960-07       Impact factor: 3.786

Review 4.  Applicability of body composition techniques and constants for children and youths.

Authors:  T G Lohman
Journal:  Exerc Sport Sci Rev       Date:  1986       Impact factor: 6.230

5.  Investigating the reproducibility of maximal oxygen uptake responses to high-intensity interval training.

Authors:  Michael Del Giudice; Jacob T Bonafiglia; Hashim Islam; Nicholas Preobrazenski; Alessandra Amato; Brendon J Gurd
Journal:  J Sci Med Sport       Date:  2019-09-14       Impact factor: 4.319

6.  Are there negative responders to exercise training among heart failure patients?

Authors:  Eric S Leifer; Clinton A Brawner; Jerome L Fleg; William E Kraus; David J Whellan; Ileana L Piña; Steven J Keteyian
Journal:  Med Sci Sports Exerc       Date:  2014-02       Impact factor: 5.411

7.  Inter-Individual Variability in the Adaptive Responses to Endurance and Sprint Interval Training: A Randomized Crossover Study.

Authors:  Jacob T Bonafiglia; Mario P Rotundo; Jonathan P Whittall; Trisha D Scribbans; Ryan B Graham; Brendon J Gurd
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

8.  Effects of intensity and amount of exercise on measures of insulin and glucose: Analysis of inter-individual variability.

Authors:  Louise de Lannoy; John Clarke; Paula J Stotz; Robert Ross
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

9.  Improvements in fitness are not obligatory for exercise training-induced improvements in CV risk factors.

Authors:  Yvonne A W Hartman; Maria T E Hopman; Tim H Schreuder; Rebecca J H M Verheggen; Ralph R Scholten; Madelijn H Oudegeest-Sander; Fleur Poelkens; Andrew J Maiorana; Louise H Naylor; Peter H Willems; Cees J Tack; Dick H J Thijssen; Daniel J Green
Journal:  Physiol Rep       Date:  2018-02

Review 10.  A Statistical Framework to Interpret Individual Response to Intervention: Paving the Way for Personalized Nutrition and Exercise Prescription.

Authors:  Paul A Swinton; Ben Stephens Hemingway; Bryan Saunders; Bruno Gualano; Eimear Dolan
Journal:  Front Nutr       Date:  2018-05-28
View more
  3 in total

Review 1.  The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers.

Authors:  Mark A Sarzynski; Treva K Rice; Jean-Pierre Després; Louis Pérusse; Angelo Tremblay; Philip R Stanforth; André Tchernof; Jacob L Barber; Francesco Falciani; Clary Clish; Jeremy M Robbins; Sujoy Ghosh; Robert E Gerszten; Arthur S Leon; James S Skinner; D C Rao; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2022-05-01

Review 2.  Stubborn Exercise Responders-Where to Next?

Authors:  Leo R Bell; Tim J Gabbett; Gregory M Davis; Matthew P Wallen; Brendan J O'Brien
Journal:  Sports (Basel)       Date:  2022-06-10

Review 3.  Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities.

Authors:  David C Nieman
Journal:  Front Nutr       Date:  2021-12-14
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.