Evidence mapPaperPMID 33172413Full record

SynthesisBMC endocrine disorders2020

High intensity interval training exercise-induced physiological changes and their potential influence on metabolic syndrome clinical biomarkers: a meta-analysis.

I Serrablo-Torrejon, A Lopez-Valenciano, M Ayuso, E Horton, X Mayo, G Medina-Gomez, G Liguori, A Jimenez

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 pooled it
3.0field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  15. Summary of the best evidence of diet and physical activity management in patients with metabolic syndrome.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2022
    Review
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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

8 authors at 4 institutions in 3 countries.

I Serrablo-TorrejonFaculty Research Centre for Sport, Exercise & Life Sciences, School of Health and Life Sciences, Coventry University, Coventry, UK. serrabli@uni.coventry.ac.uk.
A Lopez-ValencianoGO fit LAB, Av. Islas de Filipinas, 7, 28003, Madrid, Spain.
M AyusoGO fit LAB, Av. Islas de Filipinas, 7, 28003, Madrid, Spain.
E HortonFaculty Research Centre for Sport, Exercise & Life Sciences, School of Health and Life Sciences, Coventry University, Coventry, UK.
X MayoGO fit LAB, Av. Islas de Filipinas, 7, 28003, Madrid, Spain.
G Medina-GomezObservatory of Healthy & Active Living, Spain Active Foundation, Centre for Sport Studies, King Juan Carlos University, Madrid, Spain.
G LiguoriUniversity of Rhode Island, Kingston, RI, USA.
A JimenezGO fit LAB, Av. Islas de Filipinas, 7, 28003, Madrid, Spain.
Universidad Rey Juan Carlos · ESCoventry University · GBSheffield Hallam University · GBUniversity of Rhode Island · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the current debate about the effects of high intensity interval training (HIIT), HIIT elicits big morpho-physiological benefit on Metabolic Syndrome (MetS) treatment. However, no review or meta-analysis has compared the effects of HIIT to non-exercising controls in MetS variables. The aim of this study was to determine through a systematic review, the effectiveness of HIIT on MetS clinical variables in adults.

methodsStudies had to be randomised controlled trials, lasting at least 3 weeks, and compare the effects of HIIT on at least one of the MetS clinical variables [fasting blood glucose (BG), high-density lipoprotein (HDL-C) triglyceride (TG), systolic (SBP) or diastolic blood pressure (DBP) and waist circumference (WC)] compared to a control group. The methodological quality of the studies selected was evaluated using the PEDro scale.

resultsTen articles fulfilled the selection criteria, with a mean quality score on the PEDro scale of 6.7. Compared with controls, HIIT groups showed significant and relevant reductions in BG (- 0.11 mmol/L), SBP (- 4.44 mmHg), DBP (- 3.60 mmHg), and WC (- 2.26 cm). Otherwise, a slight increase was observed in HDL-C (+ 0.02 mmol/L). HIIT did not produce any significant changes in TG (- 1.29 mmol/L).

conclusionsHIIT improves certain clinical aspects in people with MetS (BG, SBP, DBP and WC) compared to people with MetS who do not perform physical exercise. Plausible physiological changes of HIIT interventions might be related with large skeletal muscle mass implication, improvements in the vasomotor control, better baroreflex control, reduction of the total peripheral resistance, increases in excess post-exercise oxygen consumption, and changes in appetite and satiety mechanisms.

Indexed as

High-Intensity Interval TrainingBiomarkersBody CompositionCardiac RehabilitationCase-Control StudiesHumansMetabolic SyndromeRandomized Controlled Trials as TopicBiomarkersHigh intensity interval trainingMeta-analysisMetabolic syndrome

Identifiers

PMID33172413
PMCPMC7653723
OpenAlexW3103429430

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.