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Longitudinal study on the association between three dietary indices, anthropometric parameters and blood lipids

Overview of attention for article published in Nutrition & Metabolism, November 2015
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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 30%
Student > Ph. D. Student 6 14%
Researcher 4 9%
Student > Postgraduate 4 9%
Student > Bachelor 4 9%
Other 7 16%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Agricultural and Biological Sciences 5 12%
Sports and Recreations 5 12%
Nursing and Health Professions 4 9%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 9 21%
Unknown 6 14%

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
#6,197,789
of 8,160,820 outputs
Outputs from Nutrition & Metabolism
#447
of 521 outputs
Outputs of similar age
#213,564
of 310,356 outputs
Outputs of similar age from Nutrition & Metabolism
#27
of 32 outputs
Altmetric has tracked 8,160,820 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 8th percentile – i.e., 8% 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 310,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.