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Vitamin D metabolism-related genetic variants, dietary protein intake and improvement of insulin resistance in a 2 year weight-loss trial: POUNDS Lost

Overview of attention for article published in Diabetologia, September 2015
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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16 news outlets
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7 X users
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1 Facebook page

Citations

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19 Dimensions

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154 Mendeley
Title
Vitamin D metabolism-related genetic variants, dietary protein intake and improvement of insulin resistance in a 2 year weight-loss trial: POUNDS Lost
Published in
Diabetologia, September 2015
DOI 10.1007/s00125-015-3750-1
Pubmed ID
Authors

Qibin Qi, Yan Zheng, Tao Huang, Jennifer Rood, George A. Bray, Frank M. Sacks, Lu Qi

Abstract

Vitamin D and related genetic variants are associated with obesity and insulin resistance. We aimed to examine whether vitamin D metabolism-related variants affect changes in body weight and insulin resistance in response to weight-loss diets varying in macronutrient content. Three vitamin D metabolism-related variants, DHCR7 rs12785878, CYP2R1 rs10741657 and GC rs2282679, were genotyped in 732 overweight/obese participants from a 2 year weight-loss trial (POUNDS Lost). We assessed genotype effects on changes in body weight, fasting levels of glucose and insulin, and HOMA-IR at 6 months (up to 656 participants) and 2 years (up to 596 participants) in response to low-protein vs high-protein diets, and low-fat vs high-fat diets. We found significant interactions between DHCR7 rs12785878 and diets varying in protein, but not in fat, on changes in insulin and HOMA-IR at both 6 months (p for interaction <0.001) and 2 years (p for interaction ≤0.03). The T allele (vitamin-D-increasing allele) of DHCR7 rs12785878 was associated with greater decreases in insulin and HOMA-IR (p < 0.002) in response to high-protein diets, while there was no significant genotype effect on changes in these traits in the low-protein diet group. Generalised estimating equation analyses indicated significant genotype effects on trajectory of changes in insulin resistance over the 2 year intervention in response to high-protein diets (p < 0.001). We did not observe significant interaction between the other two variants and dietary protein or fat on changes in these traits. Our data suggest that individuals carrying the T allele of DHCR7 rs12785878 might benefit more in improvement of insulin resistance than noncarriers by consuming high-protein weight-loss diets. ClinicalTrials.gov NCT00072995.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 153 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 15%
Student > Master 20 13%
Student > Ph. D. Student 14 9%
Researcher 13 8%
Student > Postgraduate 7 5%
Other 24 16%
Unknown 53 34%
Readers by discipline Count As %
Medicine and Dentistry 31 20%
Biochemistry, Genetics and Molecular Biology 18 12%
Nursing and Health Professions 16 10%
Agricultural and Biological Sciences 16 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 12 8%
Unknown 58 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 119. 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 08 December 2015.
All research outputs
#295,022
of 22,829,683 outputs
Outputs from Diabetologia
#178
of 5,035 outputs
Outputs of similar age
#4,399
of 274,379 outputs
Outputs of similar age from Diabetologia
#6
of 72 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done particularly well, scoring higher than 96% 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 274,379 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 98% of its contemporaries.
We're also able to compare this research output to 72 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 91% of its contemporaries.