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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Longitudinal study on the association between three dietary indices, anthropometric parameters and blood lipids
|
|---|---|
| Published in |
Nutrition & Metabolism, November 2015
|
| DOI | 10.1186/s12986-015-0042-1 |
| Pubmed ID | |
| Authors |
Evelien Mertens, Benedicte Deforche, Patrick Mullie, Johan Lefevre, Ruben Charlier, Sara Knaeps, Inge Huybrechts, Peter Clarys |
| Abstract |
From a health promotion perspective, the use of dietary indices is preferred above single nutrients and foods to evaluate diet quality. Longitudinal research about the association between dietary indices and respectively anthropometric parameters and blood lipids is lacking. The aim of this study was to investigate the longitudinal association between three dietary indices (Healthy Eating Index-2010 (HEI), Mediterranean Diet Score (MDS) and Diet Quality Index (DQI)) and respectively anthropometric parameters and blood lipids. A three day diet record was completed by 373 men and 197 women in 2002-2004 and 2012-2014. HEI, MDS and DQI were calculated. Waist circumference (WC) and Body Mass Index (BMI) were used as anthropometric parameters. A linear regression analysis was performed to investigate associations between changes in dietary indices and changes in respectively anthropometric parameters and blood lipids, adjusted for potential confounders. Only in men an increase in all three dietary indices was associated with a decrease in WC and BMI in the non-adjusted analysis and for HEI and DQI also in the adjusted analysis. No longitudinal associations were found between dietary indices and blood lipids both in men and women. Only few associations were found between dietary indices and anthropometric parameters, whilst no associations were found with blood lipids. An increase in dietary indices was associated with an improvement in anthropometric parameters only in men. As this is the first study investigating associations between changes in dietary indices and changes in respectively anthropometric parameters and blood lipids, further research is needed to evaluate these possible associations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 22% |
| Researcher | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 17% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Agricultural and Biological Sciences | 5 | 9% |
| Sports and Recreations | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Social Sciences | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 15 | 28% |
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 03 August 2016.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from Nutrition & Metabolism
#775
of 949 outputs
Outputs of similar age
#278,445
of 386,493 outputs
Outputs of similar age from Nutrition & Metabolism
#22
of 26 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 10th percentile – i.e., 10% 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 386,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.