Evidence map›Paper›PMID 26316511›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2015

Explained variance in the thermoregulatory responses to exercise: the independent roles of biophysical and fitness/fatness-related factors.

Matthew N Cramer, Ollie Jay

Abstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  14. To the extreme! How biological anthropology can inform exercise physiology in extreme environments.Comparative biochemistry and physiology. Part A, Molecular & integrative physiology · 2023
    Review
  15. Beating the heat: military training and operations in the era of global warming.Journal of applied physiology (Bethesda, Md. : 1985) · 2023
    Review
  16. Combining hypoxia with thermal stimuli in humans: physiological responses and potential sex differences.American journal of physiology. Regulatory, integrative and comparative physiology · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. Classic and exertional heatstroke.Nature reviews. Disease primers · 2022
    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

2 authors.

Matthew N CramerSchool of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada; and.
Ollie JaySchool of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada; and Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, Australia ollie.jay@sydney.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual variation in the thermoregulatory responses to exercise is notoriously large. Although aerobic fitness (V̇o2 max) and body fatness are traditionally considered important predictors of individual core temperature and sweating responses, recent evidence indicates potentially important and independent roles for biophysical factors. Using stepwise regression, we examined the proportion of individual variability in rectal temperature changes (ΔTre), whole body sweat loss (WBSL), and steady-state local sweat rate (LSRss) independently described by 1) biophysical factors associated with metabolic heat production (Hprod) and evaporative heat balance requirements (Ereq) relative to body size and 2) factors independently related to V̇o2 max and body fatness. In a total of 69 trials, 28 males of wide-ranging morphological traits and V̇o2 max values cycled at workloads corresponding to a range of absolute Hprod (410-898 W) and relative intensities (32.2-82.0% V̇o2 max) for 60 min in 24.8 ± 0.7°C and 33.4 ± 12.2% relative humidity. Hprod (in W/kg total body mass) alone described ∼50% of the variability in ΔTre (adjusted to r(2) = 0.496; P < 0.001), whereas surface area-to-mass ratio and body fat percentage (BF%) explained an additional 4.3 and 2.3% of variability, respectively. For WBSL, Ereq (in W) alone explained ∼71% of variance (adjusted to r(2) = 0.713, P < 0.001), and the inclusion of BF% explained an additional 1.3%. Similarly, Ereq (in W/m(2)) correlated significantly with LSRss (adjusted to r(2) = 0.603, P < 0.001), whereas %V̇o2 max described an additional ∼4% of total variance. In conclusion, biophysical parameters related to Hprod, Ereq, and body size explain 54-71% of the individual variability in ΔTre, WBSL, and LSRss, and only 1-4% of additional variance is explained by factors related to fitness or fatness.

Indexed as

AdiposityPhysical FitnessSweatingAdultBody Temperature RegulationExerciseHealthy VolunteersHumansMaleRegression AnalysisYoung Adultbody morphologycore temperatureevaporationheat balancesweating

Identifiers

PMID26316511
PMCPMC4628991

What OpenQuestion holds

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Registered trials

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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.