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Patterns of dairy food intake, body composition and markers of metabolic health in Ireland: results from the National Adult Nutrition Survey

Overview of attention for article published in Nutrition & Diabetes, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 472)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
22 news outlets
blogs
5 blogs
twitter
62 X users
facebook
9 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Patterns of dairy food intake, body composition and markers of metabolic health in Ireland: results from the National Adult Nutrition Survey
Published in
Nutrition & Diabetes, February 2017
DOI 10.1038/nutd.2016.54
Pubmed ID
Authors

E L Feeney, A O'Sullivan, A P Nugent, B McNulty, J Walton, A Flynn, E R Gibney

Abstract

Studies examining the association between dairy consumption and metabolic health have shown mixed results. This may be due, in part, to the use of different definitions of dairy, and to single types of dairy foods examined in isolation. The objective of the study was to examine associations between dairy food intake and metabolic health, identify patterns of dairy food consumption and determine whether dairy dietary patterns are associated with outcomes of metabolic health, in a cross-sectional survey. A 4-day food diary was used to assess food and beverage consumption, including dairy (defined as milk, cheese, yogurt, cream and butter) in free-living, healthy Irish adults aged 18-90 years (n=1500). Fasting blood samples (n=897) were collected, and anthropometric measurements taken. Differences in metabolic health markers across patterns and tertiles of dairy consumption were tested via analysis of covariance. Patterns of dairy food consumption, of different fat contents, were identified using cluster analysis. Higher (total) dairy was associated with lower body mass index, %body fat, waist circumference and waist-to-hip ratio (P<0.001), and lower systolic (P=0.02) and diastolic (P<0.001) blood pressure. Similar trends were observed when milk and yogurt intakes were considered separately. Higher cheese consumption was associated with higher C-peptide (P<0.001). Dietary pattern analysis identified three patterns (clusters) of dairy consumption; 'Whole milk', 'Reduced fat milks and yogurt' and 'Butter and cream'. The 'Reduced fat milks and yogurt' cluster had the highest scores on a Healthy Eating Index, and lower-fat and saturated fat intakes, but greater triglyceride levels (P=0.028) and total cholesterol (P=0.015). Overall, these results suggest that while milk and yogurt consumption is associated with a favourable body phenotype, the blood lipid profiles are less favourable when eaten as part of a low-fat high-carbohydrate dietary pattern. More research is needed to better understand this association. Overall, these results suggest that although milk and yogurt consumption is associated with a favourable body phenotype, the blood lipid profiles are less favourable when eaten as part of a low-fat high-carbohydrate dietary pattern. More research is needed to better understand this association.

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Researcher 14 14%
Student > Ph. D. Student 11 11%
Student > Bachelor 6 6%
Student > Postgraduate 5 5%
Other 10 10%
Unknown 39 38%
Readers by discipline Count As %
Medicine and Dentistry 17 17%
Nursing and Health Professions 11 11%
Agricultural and Biological Sciences 10 10%
Biochemistry, Genetics and Molecular Biology 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 12 12%
Unknown 41 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 238. 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 August 2022.
All research outputs
#158,686
of 25,394,081 outputs
Outputs from Nutrition & Diabetes
#21
of 472 outputs
Outputs of similar age
#3,480
of 323,277 outputs
Outputs of similar age from Nutrition & Diabetes
#2
of 16 outputs
Altmetric has tracked 25,394,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.5. This one has done particularly well, scoring higher than 95% 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 323,277 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 16 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 93% of its contemporaries.