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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intakes and sources of dietary sugars and their association with metabolic and inflammatory markers
|
|---|---|
| Published in |
Clinical Nutrition, June 2017
|
| DOI | 10.1016/j.clnu.2017.05.030 |
| Pubmed ID | |
| Authors |
Laura O'Connor, Fumiaki Imamura, Soren Brage, Simon J. Griffin, Nicholas J. Wareham, Nita G. Forouhi |
| Abstract |
Associations of dietary sugars with metabolic and inflammatory markers may vary according to the source of the sugars. The aim of this study was to examine the association of dietary sugars from different sources [beverages (liquids), foods (solids), extrinsic (free) or intrinsic (non-free)] with metabolic and inflammatory markers. Population-based cross-sectional study of adults in the East of England (n = 9678). Sugar intakes were estimated using food frequency questionnaires. Fasting glycated haemoglobin, glucose, insulin, and C-Reactive Protein (CRP) were measured and indices of metabolic risk were derived (homeostatic model of insulin resistance, HOMA-IR and metabolic risk z-score). In multiple linear regression analyses adjusted for potential confounders including BMI and TEI, sugars from liquids were positively associated with ln-CRP [b-coefficient (95%CI), 0.14 (0.05,0.22) per 10%TEI] and metabolic risk z-score [0.13 (0.07,0.18)]. Free sugars were positively associated with ln-HOMA-IR [0.05 (0.03,0.08)] and metabolic risk z-score [0.09 (0.06,0.12)]. Sugars from solids were not associated with any outcome. Among major dietary contributors to intakes (g/d), sugars in fruit, vegetables, dairy products/egg dishes, cakes/biscuits/confectionary and squash/juice drinks were not associated, but sugar added to tea, coffee, cereal was significantly positively associated with all outcomes. Sugars in 100% juice [0.16 (0.06,0.25) per 10%TEI] and other non-alcoholic beverages [0.13 (0.03,0.23)] were positively associated with metabolic risk z-score. Higher intakes of sugars from non-alcoholic beverages and sugar added to tea, coffee, cereal were associated with glycaemia and inflammatory markers. Sugars from solids were not associated, irrespective of whether they were intrinsic or extrinsic. Positive associations of free sugars were largely explained by contribution of beverages to intake. |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 24% |
| Canada | 2 | 5% |
| United States | 2 | 5% |
| Colombia | 1 | 3% |
| Spain | 1 | 3% |
| Mexico | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 51% |
| Scientists | 10 | 27% |
| Practitioners (doctors, other healthcare professionals) | 7 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 177 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 19% |
| Student > Bachelor | 27 | 15% |
| Researcher | 14 | 8% |
| Student > Ph. D. Student | 13 | 7% |
| Other | 9 | 5% |
| Other | 32 | 18% |
| Unknown | 48 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 24% |
| Nursing and Health Professions | 36 | 20% |
| Agricultural and Biological Sciences | 13 | 7% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Neuroscience | 4 | 2% |
| Other | 12 | 7% |
| Unknown | 60 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 18 November 2023.
All research outputs
#521,476
of 25,382,440 outputs
Outputs from Clinical Nutrition
#175
of 3,673 outputs
Outputs of similar age
#11,098
of 330,422 outputs
Outputs of similar age from Clinical Nutrition
#4
of 64 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. 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 330,422 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 96% of its contemporaries.
We're also able to compare this research output to 64 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.