Evidence map›Paper›PMID 25924711›Full record

Trial reportInternational journal of obesity (2005)2015

High genetic risk individuals benefit less from resistance exercise intervention.

Y C Klimentidis, J W Bea, T Lohman, P-S Hsieh, S Going, Z Chen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. An intron variant of the GLI family zinc finger 3 (GLI3) gene differentiates resistance training-induced muscle fiber hypertrophy in younger men.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  7. Article
  8. Association of ACE2 genetic polymorphisms with hypertension-related target organ damages in south Xinjiang.Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Article
  9. Article
  10. Article
  11. Review
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

6 authors.

Y C KlimentidisMel and Enid Zuckerman College of Public Health, Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
J W BeaUniversity of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA.
T LohmanDepartment of Physiology, University of Arizona, Tucson, AZ, USA.
P-S HsiehMel and Enid Zuckerman College of Public Health, Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
S GoingDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ, USA.
Z ChenMel and Enid Zuckerman College of Public Health, Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.

Funding

Biomarkers and Genetic Factors Related to Sarcopenia in WomenR01AG027373 · NIA · UNIVERSITY OF ARIZONA · PI CHEN, ZHAO · 2007 to 2011
$3.0M
EXERCISE, BONE MINERAL AND BLOOD LIPIDS IN WOMENR01AR039559 · NIAMS · UNIVERSITY OF ARIZONA · PI LOHMAN, TIMOTHY G · 1989 to 2000
$580k
Whole-Genome Prediction of Type-2 Diabetes Susceptibility in Various PopulationsK01DK095032 · NIDDK · UNIVERSITY OF ARIZONA · PI KLIMENTIDIS, YANN CHARLES · 2012 to 2014
$440k
EUBACTERIAL INFECTION IN IDIOPATHIC HUMAN DISEASER01AR039939 · NIAMS · SUNY DOWNSTATE MEDICAL CENTER · PI STEINMAN, CHARLES R · 1989 to 1993
–
NIAMS NIH HHS AR39939NIAMS NIH HHS R01 AR039559NIA NIH HHS R01AG027373NIDDK NIH HHS K01 DK095032NIDDK NIH HHS K01DK095032
6 · The paper itself

Abstract

objectivesGenetic factors have an important role in body mass index (BMI) variation, and also likely have a role in the weight loss and body composition response to physical activity/exercise. With the recent identification of BMI-associated genetic variants, it is possible to investigate the interaction of these genetic factors with exercise on body composition outcomes.

methodsIn a block-randomized clinical trial of resistance exercise among women (n=148), we examined whether the putative effect of exercise on weight and dual-energy x-ray absorptiometry-derived body composition measurements differs according to genetic risk for obesity. Approximately one-half of the sample was randomized to an intervention consisting of a supervised, intensive, resistance exercise program, lasting 1 year. Genetic risk for obesity was defined as a genetic risk score (GRS) comprised of 21 single-nucleotide polymorphisms (SNPs) known to be associated with BMI variation. We examined the interaction of exercise intervention and the GRS on anthropometric and body composition measurements after 1 year of the exercise intervention.

resultsWe found statistically significant interactions for body weight (P=0.01), body fat (P=0.01), body fat % (P=0.02) and abdominal fat (P=0.02), whereby the putative effect of exercise is greater among those with a lower level of genetic risk for obesity. No single SNP appears to be a major driver of these interactions.

conclusionsThe weight-loss response to resistance exercise, including changes in body composition, differs according to an individual's genetic risk for obesity.

Indexed as

Body CompositionBody Mass IndexExerciseResistance TrainingAbdominal FatAbsorptiometry, PhotonAdaptation, PhysiologicalAdultEnergy IntakeEnergy MetabolismFemaleGenetic Predisposition to DiseaseHumansMiddle AgedObesityRisk Factors

Identifiers

PMID25924711
PMCPMC4564316

What OpenQuestion holds

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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.