Evidence map›Paper›PMID 27181696›Full record

ArticlePublic health nutrition2016

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

Christine L Cleghorn, Roger A Harrison, Joan K Ransley, Shan Wilkinson, James Thomas, Janet E Cade

Abstract readValidation Study
In one paragraph

Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christine L Cleghorn1Burden of Disease Epidemiology,Equity and Cost-Effectiveness Programme (BODE),Department of Public Health,University of Otago,23A Mein Street,Newtown,Wellington,New Zealand.
Roger A Harrison2Centre for Epidemiology,Institute for Population Health,University of Manchester,Manchester,UK.
Joan K Ransley3Nutritional Epidemiology Group,School of Food Science and Nutrition,University of Leeds,Leeds,UK.
Shan Wilkinson4Public Health,Bolton Council,Bolton,UK.
James Thomas3Nutritional Epidemiology Group,School of Food Science and Nutrition,University of Leeds,Leeds,UK.
Janet E Cade3Nutritional Epidemiology Group,School of Food Science and Nutrition,University of Leeds,Leeds,UK.ORCID 0000-0003-3421-0121

Funding

Department of Health
6 · The paper itself

Abstract

objectiveTo 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.

designPopulation-based cross-sectional survey.

settingEast Leeds and Bolton in Northern England. SUBJECTS: 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.

resultsResults 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.

conclusionsThe 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.

Indexed as

DietDiet SurveysFood QualityAdultAgedAnimalsCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedVegetablesDiet qualityDiet screenerPublic healthShort dietary questionnaires

Identifiers

PMID27181696
PMCPMC10271203

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.