Evidence map›Paper›PMID 32699270›Full record

ArticleScientific reports2020

How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study.

Michael Thelwell, Chuang-Yuan Chiu, Alice Bullas, John Hart, Jon Wheat, Simon Choppin

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
    Article
  5. Torso Shape Improves the Prediction of Body Fat Magnitude and Distribution.International journal of environmental research and public health · 2022
    Article
  6. Article
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.

Michael ThelwellCentre for Sports Engineering Research, Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK. m.thelwell@shu.ac.uk.
Chuang-Yuan ChiuCentre for Sports Engineering Research, Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK.
Alice BullasCentre for Sports Engineering Research, Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK.
John HartCentre for Sports Engineering Research, Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK.
Jon WheatCollege of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, S10 2DN, UK.
Simon ChoppinCentre for Sports Engineering Research, Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, S9 3TU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manual anthropometrics are used extensively in medical practice and epidemiological studies to assess an individual's health. However, traditional techniques reduce the complicated shape of human bodies to a series of simple size measurements and derived health indices, such as the body mass index (BMI), the waist-hip-ratio (WHR) and waist-by-height

Identifiers

PMID32699270
PMCPMC7376175

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.