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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between dietary patterns and metabolic syndrome in individuals with normal weight: a cross-sectional study
|
|---|---|
| Published in |
Nutrition Journal, May 2015
|
| DOI | 10.1186/s12937-015-0045-9 |
| Pubmed ID | |
| Authors |
Edyta Suliga, Dorota Kozieł, Elżbieta Cieśla, Stanisław Głuszek |
| Abstract |
The results of several papers have confirmed the existence of correlations between an unhealthy diet and the presence of metabolic syndrome. However, relationships between eating habits and metabolic obesity with normal weight have not yet been sufficiently studied. The aim of the study is to determine which dietary patterns are present in individuals with a normal BMI and to find out whether those patterns were connected with the risk of metabolic syndrome and its features. A cross-sectional study was carried out in a group of 2479 subjects with a normal weight (BMI = 18.5-24.9 kg/m(2)), aged between 37-66. The study included the evaluation of eating habits, anthropometric measurements, blood pressure tests and the analysis of the collected fasting-blood samples, on the basis of which cholesterol, triglycerides and glucose levels were determined. Dietary patterns were determined by means of factor analysis. In the group of individuals with a normal BMI, four dietary patterns were distinguished: "healthy", "fat, meat and alcohol", "prudent" and "coca cola, hard cheese and French fries". After controlling for potential confounders, subjects in the highest tertile of prudent dietary pattern scores had a lower odds ratio for the metabolic obesity normal weight) (odds ratio: 0.69; 95 % CI: 0.53-0.89; p < 0.01) and low HDL cholesterol (odds ratio: 0.77; 95 % CI: 0.59-0.99; p < 0.05), in comparison to those from the lowest tertile, whereas the individuals in the second tertile had a higher odds ratio for the increased blood glucose concentration than those in the lowest tertile (odds ratio: 0.74; 95 % CI: 0.57-0.96; p < 0.05). A dietary pattern characterized by a high consumption of fish and whole grains, and a low consumption of refined grains, sugar, sweets and cold cured meat, is connected with lower risk of metabolic obesity normal weight as well as with the lower risk of low HDL cholesterol concentration and increased glucose concentration. |
X Demographics
The data shown below were collected from the profiles of 35 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 States | 18 | 51% |
| United Kingdom | 2 | 6% |
| Australia | 1 | 3% |
| Costa Rica | 1 | 3% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 80% |
| Practitioners (doctors, other healthcare professionals) | 5 | 14% |
| Scientists | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 29 | 18% |
| Student > Master | 25 | 16% |
| Student > Ph. D. Student | 14 | 9% |
| Student > Postgraduate | 11 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 27 | 17% |
| Unknown | 43 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 29% |
| Nursing and Health Professions | 27 | 17% |
| Agricultural and Biological Sciences | 15 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Engineering | 4 | 3% |
| Other | 15 | 9% |
| Unknown | 46 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 June 2015.
All research outputs
#981,510
of 22,807,037 outputs
Outputs from Nutrition Journal
#285
of 1,428 outputs
Outputs of similar age
#13,198
of 267,111 outputs
Outputs of similar age from Nutrition Journal
#9
of 29 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one has done well, scoring higher than 80% 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 267,111 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 95% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.