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Effects of Diet Composition on Postprandial Energy Availability during Weight Loss Maintenance

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
31 X users
facebook
3 Facebook pages
reddit
1 Redditor

Citations

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35 Dimensions

Readers on

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166 Mendeley
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Title
Effects of Diet Composition on Postprandial Energy Availability during Weight Loss Maintenance
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058172
Pubmed ID
Authors

Carolyn O. Walsh, Cara B. Ebbeling, Janis F. Swain, Robert L. Markowitz, Henry A. Feldman, David S. Ludwig

Abstract

The major circulating metabolic fuels regulate hunger, and each is affected by dietary composition. An integrated measure of postprandial energy availability from circulating metabolic fuels may help inform dietary recommendations for weight maintenance after weight loss. We examined the effect of low-fat (LF, 60% of energy from carbohydrate, 20% fat, 20% protein), low-glycemic index (LGI, 40%-40%-20%), and very low-carbohydrate (VLC, 10%-60%-30%) diets on total postprandial metabolic fuel energy availability (EA) during weight loss maintenance. Eight obese young adults were fed a standard hypocaloric diet to produce 10-15% weight loss. They were then provided isocaloric LF, LGI, and VLC diets in a randomized crossover design, each for a 4-week period of weight loss maintenance. At the end of each dietary period, a test meal representing the respective diet was provided, and blood samples were obtained every 30 minutes for 5 hours. The primary outcome was EA, defined as the combined energy density (circulating level × relative energy content) of glucose, free fatty acids, and β-hydroxybutyrate. Secondary outcomes were individual metabolic fuels, metabolic rate, insulin, glucagon, cortisol, epinephrine, and hunger ratings. Respiratory quotient was a process measure. Data were analyzed by repeated-measures analysis of variance, with outcomes compared in the early (30 to 150 min) and late (180 to 300 min) postprandial periods. EA did not differ between the test meals during the early postprandial period (p = 0.99). However, EA in the late postprandial period was significantly lower after the LF test meal than the LGI (p<0.0001) and VLC (p<0.0001) test meals. Metabolic rate also differed in the late postprandial period (p = 0.0074), with higher values on the VLC than LF (p = 0.0064) and LGI (p = 0.0066) diets. These findings suggest that an LF diet may adversely affect postprandial EA and risk for weight regain during weight loss maintenance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Unknown 160 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 20%
Researcher 24 14%
Student > Bachelor 18 11%
Student > Ph. D. Student 11 7%
Student > Postgraduate 10 6%
Other 28 17%
Unknown 41 25%
Readers by discipline Count As %
Medicine and Dentistry 49 30%
Agricultural and Biological Sciences 15 9%
Nursing and Health Professions 14 8%
Biochemistry, Genetics and Molecular Biology 13 8%
Sports and Recreations 8 5%
Other 20 12%
Unknown 47 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 29 June 2022.
All research outputs
#1,071,610
of 25,874,560 outputs
Outputs from PLOS ONE
#13,653
of 225,659 outputs
Outputs of similar age
#7,520
of 208,823 outputs
Outputs of similar age from PLOS ONE
#290
of 5,412 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. 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 208,823 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 96% of its contemporaries.
We're also able to compare this research output to 5,412 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 94% of its contemporaries.