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Exercise intensity and its impact on relationships between salivary immunoglobulin A, saliva flow rate and plasma cortisol concentration

Overview of attention for article published in European Journal of Applied Physiology, April 2018
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67 Mendeley
Title
Exercise intensity and its impact on relationships between salivary immunoglobulin A, saliva flow rate and plasma cortisol concentration
Published in
European Journal of Applied Physiology, April 2018
DOI 10.1007/s00421-018-3847-6
Pubmed ID
Authors

Christof A. Leicht, Victoria L. Goosey-Tolfrey, Nicolette C. Bishop

Abstract

Salivary secretory immunoglobulin A (sIgA), saliva flow rate and plasma cortisol concentrations have been shown to be influenced by exercise, particularly the intensity exercise is performed at, and circadian variation. The autonomic nervous system partly regulates salivary secretion, but it is not yet known whether cortisol also explains some variation in salivary parameters. Twelve moderately trained male individuals ([Formula: see text]peak legs: 46.2 ± 6.8 mL·kg-1·min-1) performed three 45-min constant load exercise trials in the morning: arm cranking exercise at 60%[Formula: see text]peak arms; moderate cycling at 60%[Formula: see text]peak legs; and easy cycling at 60%[Formula: see text]peak arms. Timed saliva samples and blood samples for plasma cortisol concentration determination were obtained before, post, 2 h post, and 4 h post-exercise. Saliva was collected in an additional resting trial at the same time points. At each time point for each exercise trial, negative correlations between cortisol and saliva flow rate (explaining 25 ± 17% of the variance, R2 = 0.002-0.46) and positive correlations between cortisol and sIgA concentration (explaining 8 ± 8% of the variance R2 = 0.002-0.24) were found. Saliva flow rate increased over time, whereas sIgA concentration and cortisol decreased over time for all trials (P < 0.05), there was no effect of time for sIgA secretion rate (P = 0.16). These results show a relationship between cortisol and saliva flow rate, which directly impacts on the concentration of salivary analytes. This study further confirms circadian variations in salivary parameters which must be acknowledged when standardising salivary data collection.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 13%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 10%
Researcher 6 9%
Lecturer 6 9%
Other 13 19%
Unknown 18 27%
Readers by discipline Count As %
Sports and Recreations 12 18%
Medicine and Dentistry 10 15%
Nursing and Health Professions 5 7%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 10 15%
Unknown 24 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2018.
All research outputs
#8,478,408
of 25,382,440 outputs
Outputs from European Journal of Applied Physiology
#2,144
of 4,345 outputs
Outputs of similar age
#137,934
of 343,332 outputs
Outputs of similar age from European Journal of Applied Physiology
#30
of 53 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 343,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.