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Impact of preloading either dairy or soy milk on postprandial glycemia, insulinemia and gastric emptying in healthy adults

Overview of attention for article published in European Journal of Nutrition, October 2015
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3 X users
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2 Facebook pages
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1 YouTube creator

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132 Mendeley
Title
Impact of preloading either dairy or soy milk on postprandial glycemia, insulinemia and gastric emptying in healthy adults
Published in
European Journal of Nutrition, October 2015
DOI 10.1007/s00394-015-1059-y
Pubmed ID
Authors

Lijuan Sun, Kevin Wei Jie Tan, Cathy Mok Sook Han, Melvin Khee-Shing Leow, Christiani Jeyakumar Henry

Abstract

Milk protein ingestion reduces post-meal glycemia when consumed either before or together with carbohydrate foods. The aim of this study was to compare the effects of dairy and soy milk consumed either before (preload) or together with (co-ingestion) a carbohydrate (bread), on postprandial blood glucose, insulin and gastric emptying in healthy participants. Twelve healthy Chinese male participants were studied on five separate occasions using a randomized crossover design. White wheat bread consumed with water was used as a reference meal. Capillary and venous bloods were sampled pretest and 3.5 h post-test meal for glucose and insulin measurement. Gastric emptying was measured using real-time ultrasonography. Co-ingestion of dairy milk or soy milk with bread lowered postprandial blood glucose response and glycemic index. Co-ingesting soy milk with bread increased insulin response and insulinemic index significantly compared to co-ingestion of dairy milk and preload treatments. Preloads (30 min prior to bread) significantly lowered postprandial glycemia and insulinemia compared to co-ingestion. Gastric emptying was slower after co-ingesting dairy milk with bread than after reference meal. Preloading either soy milk or dairy milk results in greater reduction in glycemic response compared to co-ingestion alone. This dietary practice may have therapeutic advantage in communities consuming high GI diets. Optimal glucose control may have the potential for increasing the time of transition from prediabetes to type 2 diabetes in Asian communities. This trial was registered at clinicaltrials.gov as NCT 02151188.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Sweden 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 15%
Student > Master 15 11%
Researcher 13 10%
Student > Postgraduate 9 7%
Student > Ph. D. Student 9 7%
Other 22 17%
Unknown 44 33%
Readers by discipline Count As %
Medicine and Dentistry 24 18%
Nursing and Health Professions 21 16%
Agricultural and Biological Sciences 13 10%
Biochemistry, Genetics and Molecular Biology 9 7%
Psychology 5 4%
Other 11 8%
Unknown 49 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2021.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from European Journal of Nutrition
#1,747
of 2,695 outputs
Outputs of similar age
#141,903
of 289,753 outputs
Outputs of similar age from European Journal of Nutrition
#39
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one is in the 33rd percentile – i.e., 33% 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 289,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.