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Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies

Overview of attention for article published in BMC Medicine, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

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8 tweeters
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2 Facebook pages

Citations

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34 Dimensions

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45 Mendeley
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Title
Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
Published in
BMC Medicine, May 2017
DOI 10.1186/s12916-017-0862-0
Pubmed ID
Authors

Tiange Wang, Tao Huang, Jae H. Kang, Yan Zheng, Majken K. Jensen, Janey L. Wiggs, Louis R. Pasquale, Charles S. Fuchs, Hannia Campos, Eric B. Rimm, Walter C. Willett, Frank B. Hu, Lu Qi

Abstract

Whether habitual coffee consumption interacts with the genetic predisposition to obesity in relation to body mass index (BMI) and obesity is unknown. We analyzed the interactions between genetic predisposition and habitual coffee consumption in relation to BMI and obesity risk in 5116 men from the Health Professionals Follow-up Study (HPFS), in 9841 women from the Nurses' Health Study (NHS), and in 5648 women from the Women's Health Initiative (WHI). The genetic risk score was calculated based on 77 BMI-associated loci. Coffee consumption was examined prospectively in relation to BMI. The genetic association with BMI was attenuated among participants with higher consumption of coffee than among those with lower consumption in the HPFS (P interaction  = 0.023) and NHS (P interaction  = 0.039); similar results were replicated in the WHI (P interaction  = 0.044). In the combined data of all cohorts, differences in BMI per increment of 10-risk allele were 1.38 (standard error (SE), 0.28), 1.02 (SE, 0.10), and 0.95 (SE, 0.12) kg/m(2) for coffee consumption of < 1, 1-3 and > 3 cup(s)/day, respectively (P interaction  < 0.001). Such interaction was partly due to slightly higher BMI with higher coffee consumption among participants at lower genetic risk and slightly lower BMI with higher coffee consumption among those at higher genetic risk. Each increment of 10-risk allele was associated with 78% (95% confidence interval (CI), 59-99%), 48% (95% CI, 36-62%), and 43% (95% CI, 28-59%) increased risk for obesity across these subgroups of coffee consumption (P interaction  = 0.008). From another perspective, differences in BMI per increment of 1 cup/day coffee consumption were 0.02 (SE, 0.09), -0.02 (SE, 0.04), and -0.14 (SE, 0.04) kg/m(2) across tertiles of the genetic risk score. Higher coffee consumption might attenuate the genetic associations with BMI and obesity risk, and individuals with greater genetic predisposition to obesity appeared to have lower BMI associated with higher coffee consumption.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 24%
Student > Ph. D. Student 9 20%
Student > Master 3 7%
Student > Doctoral Student 3 7%
Researcher 2 4%
Other 6 13%
Unknown 11 24%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Nursing and Health Professions 9 20%
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 3 7%
Economics, Econometrics and Finance 2 4%
Other 2 4%
Unknown 12 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 April 2020.
All research outputs
#4,163,713
of 17,351,915 outputs
Outputs from BMC Medicine
#1,790
of 2,703 outputs
Outputs of similar age
#74,454
of 273,236 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. 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 273,236 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 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them