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Influence of habitual physical activity on gastric emptying in healthy males and relationships with body composition and energy expenditure

Overview of attention for article published in British Journal of Nutrition, July 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Influence of habitual physical activity on gastric emptying in healthy males and relationships with body composition and energy expenditure
Published in
British Journal of Nutrition, July 2015
DOI 10.1017/s0007114515002044
Pubmed ID
Authors

Katy M. Horner, Nuala M. Byrne, Geoffrey J. Cleghorn, Neil A. King

Abstract

Although a number of studies have examined the role of gastric emptying (GE) in obesity, the influences of habitual physical activity level, body composition and energy expenditure (EE) on GE have received very little consideration. In the present study, we compared GE in active and inactive males, and characterised relationships with body composition (fat mass and fat-free mass) and EE. A total of forty-four males (active n 22, inactive n 22; BMI 21-36 kg/m2; percentage of fat mass 9-42 %) were studied, with GE of a standardised (1676 kJ) pancake meal being assessed by the [13C]octanoic acid breath test, body composition by air displacement plethysmography, RMR by indirect calorimetry, and activity EE (AEE) by accelerometry. The results showed that GE was faster in active compared with inactive males (mean half-time (t 1/2): active 157 (sd 18) and inactive 179 (sd 21) min, P< 0·001). When data from both groups were pooled, GE t 1/2 was associated with percentage of fat mass (r 0·39, P< 0·01) and AEE (r - 0·46, P< 0·01). After controlling for habitual physical activity status, the association between AEE and GE remained, but not that for percentage of fat mass and GE. BMI and RMR were not associated with GE. In summary, faster GE is considered to be a marker of a habitually active lifestyle in males, and is associated with a higher AEE level and a lower percentage of fat mass. The possibility that GE contributes to a gross physiological regulation (or dysregulation) of food intake with physical activity level deserves further investigation.

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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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 8 14%
Researcher 5 9%
Unspecified 3 5%
Student > Bachelor 3 5%
Other 10 18%
Unknown 15 27%
Readers by discipline Count As %
Medicine and Dentistry 11 20%
Sports and Recreations 7 13%
Nursing and Health Professions 5 9%
Unspecified 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 8 14%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2015.
All research outputs
#14,535,626
of 25,371,288 outputs
Outputs from British Journal of Nutrition
#4,300
of 6,274 outputs
Outputs of similar age
#125,489
of 276,407 outputs
Outputs of similar age from British Journal of Nutrition
#68
of 111 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one is in the 31st percentile – i.e., 31% 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 276,407 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 54% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.