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Delayed Timing of Eating: Impact on Weight and Metabolism

Overview of attention for article published in Current Obesity Reports, December 2013
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Title
Delayed Timing of Eating: Impact on Weight and Metabolism
Published in
Current Obesity Reports, December 2013
DOI 10.1007/s13679-013-0084-5
Pubmed ID
Authors

Kelly C. Allison, Namni Goel, Rexford S. Ahima

Abstract

Animal studies of delayed eating have provided useful information regarding the potential relationship between nighttime eating and increased weight and metabolic dysregulation, which occur in the absence of increased locomotion or increased caloric intake. We first review recent studies detailing these relationships and possible mechanisms in rodents. We then examine human data showing that sleep restriction leads to increased energy intake and weight gain, followed by a review of the human phenotype of delayed eating, night eating syndrome, and its relation to weight and metabolism. Finally, we examine human experimental studies of delayed eating and discuss preliminary data that show slight weight gain, dysfunction in energy expenditure, and abnormalities in the circadian rhythms of appetitive, stress, and sleep hormones. Well-controlled, longer-term experimental studies in humans are warranted to test the effect of delayed eating without sleep restriction to clarify whether limiting or eliminating nighttime eating could lead to weight loss and significantly improve related disorders, such as diabetes and heart disease, over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Brazil 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 22%
Student > Ph. D. Student 12 16%
Researcher 7 9%
Student > Master 7 9%
Student > Postgraduate 6 8%
Other 15 20%
Unknown 11 15%
Readers by discipline Count As %
Medicine and Dentistry 16 22%
Agricultural and Biological Sciences 13 18%
Nursing and Health Professions 9 12%
Psychology 5 7%
Neuroscience 3 4%
Other 8 11%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2016.
All research outputs
#17,807,987
of 22,876,619 outputs
Outputs from Current Obesity Reports
#319
of 378 outputs
Outputs of similar age
#223,635
of 307,523 outputs
Outputs of similar age from Current Obesity Reports
#7
of 9 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 307,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.