Evidence map›Paper›PMID 29207469›Full record

ArticleNutrients2017

Eating at Food Outlets and "On the Go" Is Associated with Less Healthy Food Choices in Adults: Cross-Sectional Data from the UK National Diet and Nutrition Survey Rolling Programme (2008-2014).

Nida Ziauddeen, Eva Almiron-Roig, Tarra L Penney, Sonja Nicholson, Sara F L Kirk, Polly Page

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 37 citations in OpenAlex.

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  5. Using food network analysis to understand meal patterns in pregnant women with high and low diet quality.The international journal of behavioral nutrition and physical activity · 2021
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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 at 3 institutions in 3 countries.

Nida ZiauddeenMRC Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK. N.Ziauddeen@soton.ac.uk.
Eva Almiron-RoigMRC Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK. ealmiron@unav.es.ORCID 0000-0002-1630-8849
Tarra L PenneyUKCRC Centre for Diet and Activity Reseacrh (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Tarra.Penney@mrc-epid.cam.ac.uk.
Sonja NicholsonMRC Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK. Sonja.Nicholson@mrc-ewl.cam.ac.uk.
Sara F L KirkHealthy Populations Institute, Dalhousie University, P. O. Box 15000, Halifax, NS B3H4R2, Canada. sara.kirk@dal.ca.ORCID 0000-0003-2146-4448
Polly PageMRC Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK. Polly.Page@mrc-ewl.cam.ac.uk.
MRC Human Nutrition Research · GBDalhousie University · CAUniversity of Cambridge · GB

Funding

Medical Research Council MC_U105960384
6 · The paper itself

Abstract

Eating location has been linked with variations in diet quality including the consumption of low-nutrient energy-dense food, which is a recognised risk factor for obesity. Cross-sectional data from 4736 adults aged 19 years and over from Years 1-6 of the UK National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) (2008-2014) were used to explore food consumption patterns by eating location. Eating location was categorized as home, work, leisure places, food outlets and "on the go". Foods were classified into two groups: core (included in the principal food groups and considered important/acceptable within a healthy diet) and non-core (all other foods). Out of 97,748 eating occasions reported, the most common was home (67-90% of eating occasions). Leisure places, food outlets and "on the go" combined contributed more energy from non-core (30%) than from core food (18%). Analyses of modulating factors revealed that sex, income, frequency of eating out and frequency of drinking were significant factors affecting consumption patterns (

Indexed as

Nutrition SurveysRestaurantsAdultAgedCross-Sectional StudiesDietFemaleFoodFood PreferencesHumansMaleMiddle AgedUnited Kingdomcore foodeating locationnon-core food

Identifiers

PMID29207469
PMCPMC5748765
OpenAlexW2774572552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.