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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolic and hormonal responses to isoenergetic high-intensity interval exercise and continuous moderate-intensity exercise
|
|---|---|
| Published in |
American Journal of Physiology: Endocrinology & Metabolism, August 2014
|
| DOI | 10.1152/ajpendo.00276.2014 |
| Pubmed ID | |
| Authors |
Jonathan M Peake, Sok Joo Tan, James F Markworth, James A Broadbent, Tina L Skinner, David Cameron-Smith |
| Abstract |
This study investigated the effects of high-intensity interval training (HIIT) versus work-matched moderate-intensity continuous exercise (MOD) on metabolism and counter-regulatory stress hormones. In a randomized and counter-balanced order, 10 well-trained male cyclists and triathletes completed a HIIT session (81.6±3.7% VO2max; 72.0±3.2% peak power output; 792±95 kJ) and a MOD session (66.7±3.5% VO2max; 48.5±3.1% peak power output; 797±95 kJ). Blood samples were collected before, immediately after, as well as 1 h and 2 h post-exercise. Carbohydrate oxidation was higher (P=0.037; 20%), whereas fat oxidation was lower (P=0.037; -47%) during HIIT vs MOD. Immediately after exercise, plasma glucose (P=0.024; 20%) and lactate (P<0.01; 5.4x) were higher in HIIT vs MOD, whereas total serum free fatty acid concentration was not significantly different (P=0.33). Metabolomics analysis identified and quantified 49 metabolites in plasma, among which, 11 changed after both HIIT and MOD, 13 changed only after HIIT and five changed only after MOD. Notable changes included substantial increases in tricarboxylic acid intermediates and monounsaturated fatty acids after HIIT, and marked decreases in amino acids during recovery from both trials. Plasma adrenocorticotrophic hormone (P=0.019), cortisol (P<0.01) and growth hormone (P<0.01) were all higher immediately after HIIT. Plasma noradrenaline (P=0.11) and interleukin-6 (P=0.20) immediately after exercise were not significantly different between trails. Plasma insulin decreased during recovery from both HIIT and MOD (P<0.01). These data indicate distinct differences in specific metabolites and counter-regulatory hormones following HIIT vs MOD, and highlight the value of targeted metabolomic analysis to provide more detailed insights into the metabolic demands of exercise. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 29% |
| United States | 4 | 19% |
| Australia | 1 | 5% |
| Ireland | 1 | 5% |
| Spain | 1 | 5% |
| South Africa | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 43% |
| Scientists | 6 | 29% |
| Practitioners (doctors, other healthcare professionals) | 6 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Japan | 2 | <1% |
| Brazil | 2 | <1% |
| Chile | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 371 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 62 | 16% |
| Student > Ph. D. Student | 50 | 13% |
| Unspecified | 43 | 11% |
| Student > Bachelor | 43 | 11% |
| Researcher | 24 | 6% |
| Other | 93 | 24% |
| Unknown | 69 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 102 | 27% |
| Medicine and Dentistry | 52 | 14% |
| Unspecified | 43 | 11% |
| Agricultural and Biological Sciences | 23 | 6% |
| Biochemistry, Genetics and Molecular Biology | 21 | 5% |
| Other | 55 | 14% |
| Unknown | 88 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 20 June 2023.
All research outputs
#1,286,088
of 25,661,882 outputs
Outputs from American Journal of Physiology: Endocrinology & Metabolism
#184
of 2,774 outputs
Outputs of similar age
#12,556
of 242,059 outputs
Outputs of similar age from American Journal of Physiology: Endocrinology & Metabolism
#1
of 29 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done particularly well, scoring higher than 93% 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 242,059 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.