Evidence map›Paper›PMID 27774458›Full record

Trial reportJournal of diabetes research2016

Short-Term High-Intensity Interval Training on Body Composition and Blood Glucose in Overweight and Obese Young Women.

Zhaowei Kong, Shengyan Sun, Min Liu, Qingde Shi

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03119350 (Mitochondrial Energy Metabolism in Obese Women Undergoing Concurrent Physical Training), which is not on this map. Cited by 50 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 9 pooled it
20.0field-weighted citation impact, top 1% 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.

NCT03119350 nacompletednot on this map

Mitochondrial Energy Metabolism in Obese Women Undergoing Concurrent Physical Training

TypeinterventionalSponsorUniversity of Sao PauloRan2016 to 2016Enrolled14ConditionsMetabolism Disorder, Mitochondrial Alteration, Physical Activity, ObesityArmsPhysical Training
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 9 syntheses or guidelines pooled it, 121 citations in OpenAlex.

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  7. Effect of different types of regular exercise on physical fitness in adults with overweight or obesity: Systematic review and meta-analyses.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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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

4 authors at 2 institutions in 2 countries.

Zhaowei KongFaculty of Education, University of Macau, Macau.
Shengyan SunFaculty of Education, University of Macau, Macau; Institute of Physical Education, Huzhou University, Huzhou, Zhejiang, China.
Min LiuFaculty of Education, University of Macau, Macau.
Qingde ShiSchool of Physical Education and Sports, Macau Polytechnic Institute, Macau.ORCID 0000-0002-3959-4526
University of Macau · MOMacao Polytechnic University · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was to determine the effects of five-week high-intensity interval training (HIIT) on cardiorespiratory fitness, body composition, blood glucose, and relevant systemic hormones when compared to moderate-intensity continuous training (MICT) in overweight and obese young women.

Indexed as

Body CompositionCardiorespiratory FitnessAdolescentAdultBlood GlucoseDietEnergy IntakeEnergy MetabolismExerciseFemaleFibroblast Growth FactorsHigh-Intensity Interval TrainingHuman Growth HormoneHumansHydrocortisoneLeptinBlood Glucosefibroblast growth factor 21Fibroblast Growth FactorsHuman Growth HormoneHydrocortisoneLeptinTestosterone

Identifiers

PMID27774458
PMCPMC5059579
OpenAlexW2525554113

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.