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Validation of diet and urinary excretion derived estimates of sodium excretion against 24-h urine excretion in a worksite sample

Overview of attention for article published in Nutrition, Metabolism and Cardiovascular Diseases, August 2015
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3 tweeters

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67 Mendeley
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Title
Validation of diet and urinary excretion derived estimates of sodium excretion against 24-h urine excretion in a worksite sample
Published in
Nutrition, Metabolism and Cardiovascular Diseases, August 2015
DOI 10.1016/j.numecd.2015.04.010
Pubmed ID
Authors

C. Kelly, F. Geaney, A.P. Fitzgerald, G.M. Browne, I.J. Perry

Abstract

To validate diet and urinary excretion derived estimates of sodium intake against those derived from 24-h urine collections in an Irish manufacturing workplace sample. We have compared daily sodium (Na) excretion from PABA validated 24-h urine collections with estimated daily sodium excretion derived from the following methods: a standard Food Frequency Questionnaire (FFQ), a modified 24-h dietary recall method, arithmetic extrapolations from morning and evening spot urine samples, predicted sodium excretion from morning and evening spot urine samples using Tanaka's, Kawasaki's and the INTERSALT formula. All were assessed using mean differences (SD), Bland-Altman plots, correlation coefficients and ROC Area under the Curve (AUC) for a cut off of ≥100 mmol of Na/day. The Food Choice at Work study recruited 802 participants aged 18-64 years, 50 of whom formed the validation sample. The mean measured 24-h urinary sodium (gold standard) was 138 mmol/day (8.1 g salt). At the group level, mean differences were small for both dietary methods and for the arithmetic extrapolations from morning urine samples. The Tanaka, Kawasaki and INTERSALT methods provided biased estimates of 24-h urinary sodium. R(2) values for all methods ranged from 0.1 to 0.48 and AUC findings from 0.57 to 0.76. Neither dietary nor spot urine sample methods provide adequate validity in the estimation of 24-h urinary sodium at the individual level. However, group mean errors from dietary methods are small and random and compare favourably with those from spot urine samples in this population.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Bachelor 11 16%
Student > Ph. D. Student 9 13%
Researcher 8 12%
Student > Postgraduate 7 10%
Other 14 21%
Unknown 6 9%
Readers by discipline Count As %
Medicine and Dentistry 24 36%
Nursing and Health Professions 9 13%
Agricultural and Biological Sciences 7 10%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 2 3%
Other 9 13%
Unknown 11 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2018.
All research outputs
#8,076,681
of 13,417,854 outputs
Outputs from Nutrition, Metabolism and Cardiovascular Diseases
#562
of 907 outputs
Outputs of similar age
#176,947
of 345,952 outputs
Outputs of similar age from Nutrition, Metabolism and Cardiovascular Diseases
#12
of 23 outputs
Altmetric has tracked 13,417,854 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 907 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 35th percentile – i.e., 35% 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 345,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.