Evidence map›Paper›PMID 19736300›Full record

ReviewThe Journal of physiology2009

Genetic basis of inter-individual variability in the effects of exercise on the alleviation of lifestyle-related diseases.

Masayuki Mori, Keiichi Higuchi, Akihiro Sakurai, Yasuharu Tabara, Tetsuro Miki, Hiroshi Nose

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of physiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Genes to predict VOBMC genomics · 2017
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  5. Effect of exercise engagement and cardiovascular risk on neuronal injury.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Masayuki MoriDepartment of Aging Biology, Institute on Aging and Adaptation, Shinshu University Graduate School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan. masamori@shinshu-u.ac.jp
Keiichi Higuchi
Akihiro Sakurai
Yasuharu Tabara
Tetsuro Miki
Hiroshi Nose
Shinshu University · JPDivision of Undergraduate Education · USEhime University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitual exercise training, including a high-intensity interval walking programme, improves cardiorespiratory fitness and alleviates lifestyle-related diseases, such as obesity, hypertension and dyslipidaemia. However, the extent of improvement has been shown to differ substantially among individuals for various exercise regimens. A body of literature has demonstrated that gene polymorphisms could account for the inter-individual variability in the improvement of risk factors for lifestyle-related diseases following exercise training. However, the fractions of the variability explained by the polymorphisms are small (5%). Also, it is likely that the effects of gene polymorphisms differ with exercise regimens and subject characteristics. These observations suggest the necessity for further studies to exhaustively identify such gene polymorphisms. More importantly, the physiological and molecular genetic mechanisms by which gene polymorphisms interact with exercise to influence the improvements of risk factors for lifestyle-related diseases differentially remain to be clarified. A better understanding of these issues should lead to more effective integration of exercise to optimize the treatment and management of individuals with lifestyle-related diseases.

Indexed as

GeneticsLife StyleDyslipidemiasExerciseGenotypeHumansHypertensionObesityOxygen ConsumptionPhysical FitnessPolymorphism, GeneticWalking

Identifiers

PMID19736300
PMCPMC2805370
OpenAlexW2156551315

What OpenQuestion holds

Textmetadata
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.