Evidence map›Paper›PMID 30862704›Full record

ArticleBritish journal of sports medicine2019

Precision exercise medicine: understanding exercise response variability.

Robert Ross, Bret H Goodpaster, Lauren G Koch, Mark A Sarzynski, Wendy M Kohrt, Neil M Johannsen, James S Skinner, Alex Castro, Brian A Irving, Robert C Noland and 6 more

Abstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of sports medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

164 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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104 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Robert RossSchool of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.
Bret H GoodpasterTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, USA.
Lauren G KochDepartment of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Mark A SarzynskiDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina, USA.
Wendy M KohrtDivision of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Neil M JohannsenInterventional Resources, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
James S SkinnerDepartment of Kinesiology, Indiana University, Bloomington, Indiana, USA.
Alex CastroDepartment of Physical Education, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Brian A IrvingSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, USA.
Robert C NolandJohn S Mcilhenny Skeletal Muscle Physiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Lauren M SparksTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, USA.
Guillaume SpielmannSchool of Kinesiology, Louisiana State University, Baton Rouge, Louisiana, USA.
Andrew G DayKingston General Health Research Institute, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Werner PitschEconomics and Sociology of Sport, Saarland University, Saarbrücken, Saarland, Germany.
William G HopkinsCollege of Sport and Exercise Science, Victoria University, Melbourne, Victoria, Australia.
Claude BouchardHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.ORCID http://orcid.org/0000-0002-0048-491X

Funding

Resource for Rat Genetic Models of Aerobic CapacityP40OD021331 · OD · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KOCH, LAUREN GERARD · 2015 to 2019
$1.9M
NIH HHS P40 OD021331
6 · The paper itself

Abstract

There is evidence from human twin and family studies as well as mouse and rat selection experiments that there are considerable interindividual differences in the response of cardiorespiratory fitness (CRF) and other cardiometabolic traits to a given exercise programme dose. We developed this consensus statement on exercise response variability following a symposium dedicated to this topic. There is strong evidence from both animal and human studies that exercise training doses lead to variable responses. A genetic component contributes to exercise training response variability.In this consensus statement, we (1) briefly review the literature on exercise response variability and the various sources of variations in CRF response to an exercise programme, (2) introduce the key research designs and corresponding statistical models with an emphasis on randomised controlled designs with or without multiple pretests and post-tests, crossover designs and repeated measures designs, (3) discuss advantages and disadvantages of multiple methods of categorising exercise response levels-a topic that is of particular interest for personalised exercise medicine and (4) outline approaches that may identify determinants and modifiers of CRF exercise response. We also summarise gaps in knowledge and recommend future research to better understand exercise response variability.

Indexed as

Precision MedicineAnimalsCardiorespiratory FitnessEnergy MetabolismExerciseHumansModels, StatisticalPhysical Conditioning, AnimalPhysical Conditioning, HumanResearch Designexercise testing

Identifiers

PMID30862704
PMCPMC6818669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.