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Alcohol consumption and its interaction with adiposity-associated genetic variants in relation to subsequent changes in waist circumference and body weight

Overview of attention for article published in Nutrition Journal, August 2017
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Title
Alcohol consumption and its interaction with adiposity-associated genetic variants in relation to subsequent changes in waist circumference and body weight
Published in
Nutrition Journal, August 2017
DOI 10.1186/s12937-017-0274-1
Pubmed ID
Authors

Jeanett F Rohde, Lars Ängquist, Sofus C. Larsen, Janne S. Tolstrup, Lise Lotte N. Husemoen, Allan Linneberg, Ulla Toft, Kim Overvad, Jytte Halkjær, Anne Tjønneland, Torben Hansen, Oluf Pedersen, Thorkild I. A. Sørensen, Berit L Heitmann

Abstract

Studies have suggested a link between alcohol intake and adiposity. However, results from longitudinal studies have been inconsistent, and a possible interaction with genetic predisposition to adiposity measures has often not been taken into account. To examine the association between alcohol intake recorded at baseline and subsequent annual changes in body weight (∆BW), waist circumference (ΔWC) and WC adjusted for BMI (ΔWCBMI), and to test for interaction with genetic predisposition scores based on single nucleotide polymorphisms (SNPs) associated with various forms of adiposity. This study included a total of 7028 adult men and women from MONICA, the Diet, Cancer and Health cohort (DCH), and the Inter99 studies. We combined 50 adiposity-associated SNPs into four scores indicating genetic predisposition to BMI, WC, WHRBMI and all three traits combined. Linear regression was used to examine the association of alcohol intake (drinks of 12 g (g) alcohol/day) with ΔBW, ΔWC, and ΔWCBMI, and to examine possible interactions with SNP-scores. Results from the analyses of the individual cohorts were combined in meta-analyses. Each additional drink/day was associated with a ΔBW/year of -18.0 g (95% confidence interval (CI): -33.4, -2.6, P = 0.02) and a ΔWC of -0.3 mm/year (-0.5, -0.0, P = 0.03). In analyses of women only, alcohol intake was associated with a higher ΔWCBMI of 0.5 mm/year (0.2, 0.9, P = 0.002) per drink/day. Overall, we found no statistically significant interactions between the four SNP-scores and alcohol intake in relation to changes in adiposity measures. However in analyses of women separately, we found interaction between the complete score of all 50 SNPs and alcohol intake in relation to ΔBW (P for interaction = 0.03). No significant interaction was observed among the men. Alcohol intake was associated with a decrease in BW and WC among men and women, and an increase in WCBMI among women only. We found no strong indication that these associations depend on a genetic predisposition to adiposity. Registry: ClinicalTrials.gov Trial number: CT00289237 , Registered: 19 September 2005 retrospectively registered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Researcher 11 16%
Student > Ph. D. Student 8 12%
Student > Bachelor 7 10%
Student > Doctoral Student 6 9%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 15 22%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Social Sciences 2 3%
Other 7 10%
Unknown 21 31%
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 08 September 2017.
All research outputs
#14,079,280
of 22,999,744 outputs
Outputs from Nutrition Journal
#1,062
of 1,438 outputs
Outputs of similar age
#169,281
of 316,647 outputs
Outputs of similar age from Nutrition Journal
#17
of 25 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one is in the 24th percentile – i.e., 24% 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 316,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.