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University of Newcastle, Australia

Increasing the protein quantity in a meal results in dose‐dependent effects on postprandial glucose levels in individuals with Type 1 diabetes mellitus

Overview of attention for article published in Diabetic Medicine, March 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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8 X users
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1 Facebook page

Citations

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55 Dimensions

Readers on

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85 Mendeley
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1 CiteULike
Title
Increasing the protein quantity in a meal results in dose‐dependent effects on postprandial glucose levels in individuals with Type 1 diabetes mellitus
Published in
Diabetic Medicine, March 2017
DOI 10.1111/dme.13347
Pubmed ID
Authors

M. A. Paterson, C. E. M. Smart, P. E. Lopez, P. Howley, P. McElduff, J. Attia, C. Morbey, B. R. King

Abstract

To determine the glycaemic impact of increasing protein quantities when consumed with consistent amounts of carbohydrate in individuals with Type 1 diabetes on intensive insulin therapy. Participants with Type 1 diabetes [aged 10-40 years, HbA1c ≤ 64 mmol/mol (8%), BMI ≤ 91(st) percentile] received a 30-g carbohydrate (negligible fat) test drink daily over 5 days in randomized order. Protein (whey isolate 0 g/kg carbohydrate, 0 g/kg lipid) was added in amounts of 0 (control), 12.5, 25, 50 and 75 g. A standardized dose of insulin was given for the carbohydrate. Postprandial glycaemia was assessed by 5 h of continuous glucose monitoring. Data were collected from 27 participants (15 male). A dose-response relationship was found with increasing amount of protein. A significant negative relationship between protein dose and mean excursion was seen at the 30- and 60-min time points (P=0.007 and P=0.002, respectively). No significant relationship was seen at the 90- and 120-min time points. Thereafter, the dose-response relationship inverted, such that there was a significant positive relationship for each of the 150-300-min time points (P<0.004). Mean glycaemic excursions were significantly greater for all protein-added test drinks from 150 to 300 min (P<0.005) with the 75-g protein load, resulting in a mean excursion that was 5 mmol/l higher when compared with the control test drink (P<0.001). Increasing protein quantity in a low-fat meal containing consistent amounts of carbohydrate decreases glucose excursions in the early (0-60-min) postprandial period and then increases in the later postprandial period in a dose-dependent manner. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 13%
Student > Bachelor 8 9%
Student > Master 7 8%
Student > Ph. D. Student 6 7%
Student > Postgraduate 5 6%
Other 12 14%
Unknown 36 42%
Readers by discipline Count As %
Medicine and Dentistry 24 28%
Nursing and Health Professions 8 9%
Sports and Recreations 3 4%
Agricultural and Biological Sciences 2 2%
Business, Management and Accounting 2 2%
Other 8 9%
Unknown 38 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 June 2018.
All research outputs
#6,282,286
of 24,561,012 outputs
Outputs from Diabetic Medicine
#1,376
of 3,765 outputs
Outputs of similar age
#94,762
of 313,998 outputs
Outputs of similar age from Diabetic Medicine
#16
of 35 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,765 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 63% 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 313,998 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 69% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.