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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence
|
|---|---|
| Published in |
Nutrition, Metabolism and Cardiovascular Diseases, April 2015
|
| DOI | 10.1016/j.numecd.2015.04.007 |
| Pubmed ID | |
| Authors |
G. Appannah, G.K. Pot, R.C. Huang, W.H. Oddy, L.J. Beilin, T.A. Mori, S.A. Jebb, G.L. Ambrosini |
| Abstract |
Energy dense, high fat, low fibre diets may contribute to obesity in young people, however their relationships with other cardiometabolic risk factors are unclear. We examined associations between an 'energy-dense, high-fat and low-fibre' dietary pattern (DP) and cardiometabolic risk factors, and the tracking of this DP in adolescence. Data was sourced from participants in the Western Australian Pregnancy (Raine) Cohort Study. At 14 and 17 y, dietary intake, anthropometric and biochemical data were measured and z-scores for an 'energy dense, high fat and low fibre' DP were estimated using reduced rank regression (RRR). Associations between DP z-scores and cardiometabolic risk factors were examined using regression models. Tracking of DP z-scores was assessed using Pearson's correlation coefficient. A 1 SD unit increase in DP z-score between 14 and 17 y was associated with a 20% greater odds of high metabolic risk (95% CI: 1.01, 1.41) and a 0.04 mmol/L higher fasting glucose in boys (95% CI: 0.01, 0.08); a 28% greater odds of a high-waist circumference (95% CI: 1.00, 1.63) in girls. An increase of 3% and 4% was observed for insulin and HOMA (95% CI: 1%, 7%), respectively, in boys and girls, for every 1 SD increase in DP z-score and independently of BMI. The DP showed moderate tracking between 14 and 17 y of age (r = 0.51 for boys, r = 0.45 for girls). An 'energy dense, high fat, low fibre' DP is positively associated with cardiometabolic risk factors and tends to persist throughout adolescence. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Indonesia | 1 | <1% |
| Unknown | 174 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 34 | 19% |
| Student > Master | 22 | 12% |
| Student > Ph. D. Student | 17 | 10% |
| Student > Postgraduate | 16 | 9% |
| Researcher | 14 | 8% |
| Other | 24 | 13% |
| Unknown | 51 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 20% |
| Nursing and Health Professions | 30 | 17% |
| Agricultural and Biological Sciences | 18 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Sports and Recreations | 5 | 3% |
| Other | 26 | 15% |
| Unknown | 57 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2016.
All research outputs
#17,313,103
of 25,411,814 outputs
Outputs from Nutrition, Metabolism and Cardiovascular Diseases
#1,218
of 1,958 outputs
Outputs of similar age
#168,754
of 278,583 outputs
Outputs of similar age from Nutrition, Metabolism and Cardiovascular Diseases
#18
of 24 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 27th percentile – i.e., 27% 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 278,583 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.