↓ Skip to main content

Can a dietary quality score derived from a short-form FFQ assess dietary quality in UK adult population surveys?

Overview of attention for article published in Public Health Nutrition, May 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
5 news outlets
twitter
1 X user
reddit
1 Redditor

Readers on

mendeley
186 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Can a dietary quality score derived from a short-form FFQ assess dietary quality in UK adult population surveys?
Published in
Public Health Nutrition, May 2016
DOI 10.1017/s1368980016001099
Pubmed ID
Authors
Abstract

To devise a measure of diet quality from a short-form FFQ (SFFFQ) for population surveys. To validate the SFFFQ against an extensive FFQ and a 24 h diet recall. Population-based cross-sectional survey. East Leeds and Bolton in Northern England. Adults (n 1999) were randomly selected from lists of those registered with a general practitioner in the study areas, contacted by mail and asked to complete the SFFFQ. Responders were sent a longer FFQ to complete and asked if they would take part in a telephone-based 24 h diet recall. Results from 826 people completing the SFFFQ, 705 completing the FFQ and forty-seven completing the diet recall were included in the analyses. The dietary quality score (DQS), based on fruit, vegetable, oily fish, non-milk extrinsic sugar and fat intakes, showed significant agreement between the SFFFQ and the FFQ (κ=0·38, P<0·001). The DQS for the SFFFQ and the diet recall did not show significant agreement (κ=0·04, P=0·312). A number of single items on the SFFFQ predicted a 'healthy' DQS when calculated from the FFQ. The odds of having a healthy diet were increased by 27 % (95 % CI 9, 49 %, P<0·001) for an increase in fruit of 1 portion/d and decreased by 67 % (95 % CI 47, 79 %, P<0·001) for an increase in crisps of 1 portion/d. The SFFFQ has been shown to be an effective method of assessing diet quality. It provides an important method for determining variations in diet quality within and across different populations.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 185 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 25 13%
Student > Ph. D. Student 24 13%
Student > Bachelor 23 12%
Researcher 19 10%
Lecturer 7 4%
Other 22 12%
Unknown 66 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 26 14%
Nursing and Health Professions 21 11%
Psychology 12 6%
Social Sciences 8 4%
Biochemistry, Genetics and Molecular Biology 7 4%
Other 35 19%
Unknown 77 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 01 May 2026.
All research outputs
#1,210,228
of 32,572,212 outputs
Outputs from Public Health Nutrition
#413
of 4,344 outputs
Outputs of similar age
#16,111
of 331,420 outputs
Outputs of similar age from Public Health Nutrition
#7
of 64 outputs
Altmetric has tracked 32,572,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.5. This one has done particularly well, scoring higher than 90% 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 331,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.