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A randomized cross-over study of the effects of macronutrient composition and meal frequency on GLP-1, ghrelin and energy expenditure in humans

Overview of attention for article published in Regulatory Peptides, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 3,221)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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3 news outlets
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4 X users
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2 Facebook pages

Citations

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8 Dimensions

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63 Mendeley
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Title
A randomized cross-over study of the effects of macronutrient composition and meal frequency on GLP-1, ghrelin and energy expenditure in humans
Published in
Regulatory Peptides, May 2017
DOI 10.1016/j.peptides.2017.04.011
Pubmed ID
Authors

Simon Ingves, Nathalie Vilhelmsson, Edvin Ström, Mats Fredrikson, Hans Guldbrand, Fredrik H. Nystrom

Abstract

Little is known about human postprandial increase of energy expenditure and satiety-associated hormones in relation to both meal frequency and macronutrient composition. Randomized cross-over study with four conditions for each participant. Seven men and seven women (mean age 23±1.5years) were randomly assigned to the order of intake of a 750kcal drink with the same protein content while having either 20 energy-percent (E%) or 55 E% from carbohydrates and the remaining energy from fat. Participants were also randomized to consume the drinks as one large beverage or as five 150kcal portions every 30minutes, starting in the fasting state in the morning. Energy expenditure (EE) was determined every 30minutes by indirect calorimetry. Hormonal responses and suppression of hunger (by visual-analogue scales) were also studied. A p<0.013 was considered statistically significant following Bonferroni-correction. The area under the curve (AUC) for EE was higher during the 2.5hours after the high-carbohydrate drinks (p=0.005 by Wilcoxon) and also after ingesting one drink compared with five (p=0.004). AUC for serum active GLP-1 was higher after single drinks compared with five beverages (p=0.002). Although GLP-1 levels remained particularly high at the end of the test during the low-carbohydrate meals, the AUC did not differ compared with the high-carbohydrate occasions (low-carbohydrate: 58.9±18pg/ml/h, high-carbohydrate: 45.2±16pg/ml/h, p=0.028). Hunger sensations were suppressed more after single beverages compared with five small drinks (p=0.009). We found higher EE during 2.5hours following one large drink compared with five smaller beverages. Since hunger was also suppressed more efficiently, and serum GLP-1 levels were higher after one compared with five smaller drinks, our findings do not support nibbling to avoid hunger or to keep up EE from morning to noon.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Ph. D. Student 8 13%
Other 6 10%
Student > Bachelor 5 8%
Researcher 4 6%
Other 14 22%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 19 30%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Nursing and Health Professions 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Other 9 14%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 18 March 2023.
All research outputs
#1,609,869
of 25,394,764 outputs
Outputs from Regulatory Peptides
#24
of 3,221 outputs
Outputs of similar age
#30,568
of 324,801 outputs
Outputs of similar age from Regulatory Peptides
#1
of 16 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 324,801 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 90% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.