Evidence map›Paper›PMID 36012011›Full record

Trial reportInternational journal of environmental research and public health2022

The Effects of 10-Week Strength Training in the Winter on Brown-like Adipose Tissue Vascular Density.

Riki Tanaka, Sayuri Fuse-Hamaoka, Miyuki Kuroiwa, Yuko Kurosawa, Tasuki Endo, Ryotaro Kime, Takeshi Yoneshiro, Takafumi Hamaoka

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. 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

8 authors at 3 institutions in 1 country.

Riki TanakaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.
Sayuri Fuse-HamaokaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.
Miyuki KuroiwaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.
Yuko KurosawaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.
Tasuki EndoFaculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan.ORCID 0000-0003-0650-1378
Ryotaro KimeDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.
Takeshi YoneshiroResearch Center for Advanced Science and Technology, University of Tokyo, Tokyo 153-8904, Japan.ORCID 0000-0001-5298-5831
Takafumi HamaokaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo 160-8402, Japan.ORCID 0000-0002-7470-5711
Tokyo Medical University · JPMeijo University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no evidence of the effect of exercise training on human brown-like adipose tissue vascular density (BAT-d). Here, we report whether whole-body strength training (ST) in a cold environment increased BAT-d. The participants were 18 men aged 20-31 years. They were randomly assigned to two groups: one that performed ST twice a week at 75% intensity of one-repetition maximum for 10 weeks during winter (EX;

Indexed as

Adipose Tissue, BrownResistance TrainingCold TemperatureHumansMaleMicrovascular DensityPositron-Emission Tomographybrown adipose tissueexercisenear-infrared spectroscopyresistance training

Identifiers

PMID36012011
PMCPMC9408462
OpenAlexW4293030257

What OpenQuestion 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 OpenQuestion graph.