Evidence map›Paper›PMID 23920151›Full record

ArticlePublic health nutrition2013

Patterns of sociodemographic and food practice characteristics in relation to fruit and vegetable consumption in children: results from the U.K. National Diet and Nutrition Survey Rolling Programme (2008-2010).

Tsz N Mak, Celia J Prynne, Darren Cole, Emily Fitt, Beverley Bates, Alison M Stephen

Abstract read
In one paragraph

Article in Public health nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Fruit and vegetable consumption revisited.Public health nutrition · 2013
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tsz N Mak1 MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK.
Celia J Prynne
Darren Cole
Emily Fitt
Beverley Bates
Alison M Stephen

Funding

Medical Research Council MC_U105960384Medical Research Council MC_US_A090_0039
6 · The paper itself

Abstract

objectiveFew studies have considered the combined effects of home-related determinants on children’s diet. The present study investigated independent associations between sociodemographic and food practice (SFP) characteristics and fruit and vegetable consumption in U.K. children and the combined effects of SFP on consumption using pattern analysis.

designDiet was assessed using 4 d food diaries, SFP were collected using computer-assisted personal interview. Linear regressions were used to test associations; principal component analysis was used to identify patterns of SFP characteristics. Regression of fruit (g/d) and vegetables (g/d) v. component scores of each pattern were performed.

settingU.K. National Diet and Nutrition Survey Rolling Programme (2008–2010). SUBJECTS: Children aged 1.5–10 years (n 642).

resultsSignificant associations were found between fruit and vegetable consumption and household socio-economic status. Pattern 1, which was positively correlated with household structure characteristics, was associated with increased fruit consumption (P < 0.001). Pattern 2, characterised by positive correlations for socio-economic status, fruit availability and organic food purchase, and negatively correlated with household size and the number of children per household, was associated with higher fruit and vegetable consumption (both P < 0.001). Pattern 3, characterised by high frequency of eating out and eating takeaway, was associated with a lower consumption of both fruit (P < 0.012) and vegetables (P < 0.023).

conclusionsPatterns of SFP determinants may be more informative than individual characteristics in relation to dietary outcomes. Results have public health implications on the healthfulness of meals eaten out of home and in takeaways, as well as the need to reduce diet inequality in larger households with lower socio-economic status.

Indexed as

Family CharacteristicsFeeding BehaviorFruitHealth BehaviorSocial ClassVegetablesChildChild, PreschoolDietDiet RecordsDiet SurveysFast FoodsFemaleFood, OrganicHumansInfant

Identifiers

PMID23920151
PMCPMC10271681

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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.