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Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Overview of attention for article published in European Journal of Nutrition, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 blog
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8 X users
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4 Facebook pages

Citations

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15 Dimensions

Readers on

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118 Mendeley
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Title
Main nutrient patterns are associated with prospective weight change in adults from 10 European countries
Published in
European Journal of Nutrition, August 2015
DOI 10.1007/s00394-015-1023-x
Pubmed ID
Authors

Heinz Freisling, Pedro T. Pisa, Pietro Ferrari, Graham Byrnes, Aurelie Moskal, Christina C. Dahm, Anne-Claire Vergnaud, Marie-Christine Boutron-Ruault, Guy Fagherazzi, Claire Cadeau, Tilman Kühn, Jasmine Neamat-Allah, Brian Buijsse, Heiner Boeing, Jytte Halkjær, Anne Tjonneland, Camilla P. Hansen, J. Ramón Quirós, Noémie Travier, Esther Molina-Montes, Pilar Amiano, José M. Huerta, Aurelio Barricarte, Kay-Tee Khaw, Nicholas Wareham, Tim J. Key, Dora Romaguera, Yunxia Lu, Camille M. Lassale, Androniki Naska, Philippos Orfanos, Antonia Trichopoulou, Giovanna Masala, Valeria Pala, Franco Berrino, Rosario Tumino, Fulvio Ricceri, Maria Santucci de Magistris, H. Bas Bueno-de-Mesquita, Marga C. Ocké, Emily Sonestedt, Ulrika Ericson, Mattias Johansson, Guri Skeie, Elisabete Weiderpass, Tonje Braaten, Petra H. M. Peeters, Nadia Slimani

Abstract

Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. This study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 19%
Student > Ph. D. Student 15 13%
Student > Master 10 8%
Student > Doctoral Student 5 4%
Student > Bachelor 4 3%
Other 19 16%
Unknown 43 36%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Nursing and Health Professions 17 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Social Sciences 4 3%
Agricultural and Biological Sciences 4 3%
Other 10 8%
Unknown 50 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 11 April 2017.
All research outputs
#2,874,917
of 25,654,806 outputs
Outputs from European Journal of Nutrition
#711
of 2,708 outputs
Outputs of similar age
#36,526
of 279,971 outputs
Outputs of similar age from European Journal of Nutrition
#15
of 65 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one has gotten more attention than average, scoring higher than 73% 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 279,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.