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Comparison in dietary patterns derived for the Canadian Newfoundland and Labrador population through two time-separated studies

Overview of attention for article published in Nutrition Journal, August 2015
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  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Comparison in dietary patterns derived for the Canadian Newfoundland and Labrador population through two time-separated studies
Published in
Nutrition Journal, August 2015
DOI 10.1186/s12937-015-0064-6
Pubmed ID
Authors

Zhi Chen, Peizhong Peter Wang, Lian Shi, Yun Zhu, Lin Liu, Zhiwei Gao, Janine Woodrow, Barbara Roebothan

Abstract

While a dietary pattern is often believed to be stable in a population, there is limited research assessing its stability over time. The objective of this study is to explore and compare major dietary patterns derived for the Canadian subpopulation residing in Newfoundland and Labrador (NL), through two time-separated studies using an identical method. In this study, we derived and compared the major dietary patterns derived from two independent studies in the NL adult population. The first study was based on the healthy controls from a large population-based case-control study (CCS) in 2005. The second was from a food-frequency questionnaire validation project (FFQVP) conducted in 2012. In both studies, participants were recruited in the same manner and dietary information was collected by an identical self-administered food-frequency questionnaire (FFQ). Exploratory common factor analysis was conducted to identify major dietary patterns. A comparison was conducted between the two study populations. Four major dietary patterns were identified: Meat, Vegetables/fruits, Fish, and Grains explaining 22 %, 20 %, 12 % and 9 % variance respectively, with a total variance of 63 %. Three major dietary patterns were derived for the controls of the CCS: Meat, Plant-based diet, and Fish explaining 24 %, 20 %, and 10 % variance respectively, with a total variance of 54 %. As the Plant-based diet pattern derived for the CCS was a combination of the Vegetables/fruits and Grains patterns derived for the FFQVP, no considerable difference in dietary patterns was found between the two studies. A comparison between two time-separated studies suggests that dietary patterns of the NL adult population have remained reasonably stable over almost a decade.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Student > Ph. D. Student 4 18%
Student > Master 3 14%
Other 2 9%
Researcher 2 9%
Other 1 5%
Unknown 5 23%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Nursing and Health Professions 2 9%
Agricultural and Biological Sciences 2 9%
Social Sciences 2 9%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 August 2015.
All research outputs
#3,787,857
of 22,818,766 outputs
Outputs from Nutrition Journal
#674
of 1,428 outputs
Outputs of similar age
#48,549
of 264,249 outputs
Outputs of similar age from Nutrition Journal
#23
of 36 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 52% 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 264,249 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 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.