Evidence map›Paper›PMID 36564547›Full record

ArticleScientific reports2022

Body surface scan anthropometrics are related to cardiorespiratory fitness in the general population.

Armin Köhler, Berit Filges, Henry Völzke, Stephan B Felix, Ralf Ewert, Beate Stubbe, Marcello R P Markus, Stefan Groß, Marcus Dörr, Till Ittermann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
4.3field-weighted citation impact, top 6% 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, 10 citations in OpenAlex.

  1. Article
  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

11 authors at 2 institutions in 1 country.

Armin KöhlerInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Berit FilgesInstitute for Community Medicine, Department SHIP - Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine, Department SHIP - Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Stephan B FelixInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Ralf EwertInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Beate StubbeInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Marcello R P MarkusInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Stefan GroßInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Marcus DörrInstitute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Till Ittermann *Institute for Community Medicine, Department SHIP - Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Martin Bahls *Institute for Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany. martin.bahls@uni-greifswald.de.
Universitätsmedizin Greifswald · DEGerman Centre for Cardiovascular Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of cardiorespiratory fitness (CRF) is an important tool for prognosis evaluation of cardiovascular events. The gold standard to measure CRF is cardiopulmonary exercise testing (CPET) to determine peak oxygen uptake (VO2peak). However, CPET is not only time consuming but also expensive and is therefore not widely applicable in daily practice. The aim of our study was to analyze, whether and which anthropometric markers derived from a 3D body scanner were related to VO2peak in a general population-based study. We analyzed data (SHIP-START-3) from 3D body scanner and CPET of 1035 subjects (529 women; 51.1%, age range 36-93). A total of 164 anthropometric markers were detected with the 3D body scanner VITUS Smart XXL using the software AnthroScan Professional. Anthropometric measurements were standardized and associated with CRF by sex-stratified linear regression models adjusted for age and height. Anthropometric markers were ranked according to the  - log- p values derived from these regression models. In men a greater left and right thigh-knee-ratio, a longer forearm-fingertip length, a greater left thigh circumference and greater left upper arm circumference were most strongly associated with a higher VO2peak. In women a greater left and right thigh circumference, left calf circumference, thigh thickness and right calf circumference were most strongly associated with a higher VO2peak. The detected VO2peak-related anthropometric markers could be helpful in assessing CRF in clinical routine. Commonly used anthropometric markers, e.g. waist and hip circumference, were not among the markers associated with VO2peak.

Indexed as

Cardiorespiratory FitnessAdultAgedAged, 80 and overAnthropometryExercise TestFemaleForearmHumansLinear ModelsMaleMiddle AgedOxygen Consumption

Identifiers

PMID36564547
PMCPMC9789061
OpenAlexW4312154902

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.