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Dietary flavonoid intake in older adults: how many days of dietary assessment are required and what is the impact of seasonality?

Overview of attention for article published in Nutrition Journal, January 2018
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Title
Dietary flavonoid intake in older adults: how many days of dietary assessment are required and what is the impact of seasonality?
Published in
Nutrition Journal, January 2018
DOI 10.1186/s12937-017-0309-7
Pubmed ID
Authors

Katherine Kent, Karen E. Charlton, Simone Lee, Jonathon Mond, Joanna Russell, Paul Mitchell, Victoria M. Flood

Abstract

Within- and between-person variation in nutrient intake is well established, but little is known about variability in dietary flavonoid intake, including the effect of seasonality. Within- and between-individual variability of flavonoid intake, and intake of flavonoid subclasses was examined in older adults (n = 79; mean age 70.1 y (range: 60y-80y)), using three separate 4-day weighed food records (WFR) collected approximately 4 months apart. The effects of seasonality were also examined. Mixed-effects linear regression models were used to estimate within- and between-individual variance components for flavonoids and subclasses. The number of days of dietary assessment required for a high level of hypothetical accuracy was calculated from variance ratios. Within- and between-individual variability was high for flavonoid intake, and intake of flavonoid subclasses, with variance ratios > 1. It was calculated that six days of WFR data are required for total flavonoid intake, and between 6 and 10 days was required for flavonoid subclasses. There was no effect of seasonality for total flavonoid intake or intake of flavonoid subclasses, with the exception that flavan-3-ol and flavanone intakes which were relatively low in summer, and in summer and winter, respectively. While the effects of seasonality on total flavonoid intake may be small, within- and between-individual variation associated with flavonoid intake assessment appears to be substantial across 12 days of WFR data in older adults. It is recommended that a minimum of 6 days of weighed food records are collected to minimise the impact of within- and between-individual variability on total flavonoid intake assessments in this population.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Master 8 16%
Researcher 4 8%
Student > Bachelor 3 6%
Lecturer 2 4%
Other 5 10%
Unknown 18 36%
Readers by discipline Count As %
Medicine and Dentistry 6 12%
Nursing and Health Professions 5 10%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 4 8%
Unknown 27 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 March 2018.
All research outputs
#13,228,526
of 23,312,088 outputs
Outputs from Nutrition Journal
#989
of 1,443 outputs
Outputs of similar age
#209,739
of 444,628 outputs
Outputs of similar age from Nutrition Journal
#24
of 37 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one is in the 30th percentile – i.e., 30% 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 444,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.