Evidence map›Paper›PMID 33184687›Full record

ArticleInternational archives of occupational and environmental health2021

Monitoring heat strain: the effect of sensor type and location on single-site and mean skin temperature during work in the heat.

Benjamin L MacLean, Kendal MacLean, Ian B Stewart, Andrew P Hunt

Abstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2021. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Benjamin L MacLeanSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Victoria Park Road, Brisbane, QLD, 4059, Australia.
Kendal MacLeanSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Victoria Park Road, Brisbane, QLD, 4059, Australia.
Ian B StewartSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Victoria Park Road, Brisbane, QLD, 4059, Australia.
Andrew P HuntSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Victoria Park Road, Brisbane, QLD, 4059, Australia. ap.hunt@qut.edu.au.ORCID http://orcid.org/0000-0002-2753-7567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeElevations in skin temperature and heat strain reduce tolerance to work in the heat. This study assessed agreement between mean (eight sites) and single-site skin temperature, measured by a conductive or infrared sensor, during exercise in the heat.

methodsTwelve males (age: 24.2 ± 3.7 years; height: 180 ± 6.5 cm; body mass: 82.9 ± 9.5 kg; body fat: 16.0 ± 6.5%) volunteered to participate in two trials. Thirty minutes of seated rest was followed by 60 min of treadmill walking (4.5 km·h

resultsSkin temperature on the chest, scapula, and thigh showed acceptable agreement with [Formula: see text] (mean difference < 0.5 °C and limits of agreement ± 1.0 °C) in both ATH and CPE. Skin temperature on the axilla overestimated [Formula: see text] in ATH (T

conclusionThe overestimate of mean skin temperature had a significant influence on the aPSI, which has important implications for real-time monitoring and risk management of personnel working in hot environments.

Indexed as

Skin TemperatureAdultExerciseHeat Stress DisordersHot TemperatureHumansMaleOccupational DiseasesPhysical ExertionRestWorkYoung AdultHeat stressMonitoringPhysiological strain indexProtective clothingThermal physiologyWearable sensors

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.