Evidence map›Paper›PMID 30919096›Full record

ArticleInternational journal of biometeorology2019

The use of infrared thermal imaging to measure spatial and temporal sweat retention in clothing.

Margherita Raccuglia, Christian Heyde, Alex Lloyd, Simon Hodder, George Havenith

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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Margherita RaccugliaEnvironmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
Christian HeydeAdidas FUTURE Sport Science, Herzogenaurach, Germany.
Alex LloydEnvironmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
Simon HodderEnvironmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
George HavenithEnvironmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK. G.Havenith@lboro.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous laboratory study a 'destructive' gravimetric method was developed to quantify local garment sweat absorption. While this currently is the only methodology that permits direct and analytical measurements of garment regional sweat absorption, the latter approach is time-consuming and expensive, therefore, of limited applicability. As such, in this study, we wanted to assess whether infrared thermography could be used as an indirect method to estimate garment regional sweat absorption, right after exercise, in a 'non-destructive' fashion. Spatial and temporal sweat absorption data, obtained in our previous study, were correlated with spatial and temporal temperature data obtained in the same experiment with an infrared thermal camera. The data suggest that infrared thermography is a good tool to qualitatively predict regional sweat absorption in garments at separate individual time points; however, temporal changes are not predicted well, due to a moisture content threshold above which variations in sweat content cannot be discriminated by further temperature changes.

Indexed as

ClothingSweatHot TemperatureSkin TemperatureSweatingClothing evaporative coolingClothing sweat absorptionClothing sweat mappingInfrared thermography

Identifiers

What OpenQuestion holds

Textmetadata
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.