Evidence map›Paper›PMID 30654805›Full record

ArticleThe international journal of behavioral nutrition and physical activity2019

Comparison of individuals with low versus high consumption of home-prepared food in a group with universally high dietary quality: a cross-sectional analysis of the UK National Diet & Nutrition Survey (2008-2016).

Chloe Clifford Astbury, Tarra L Penney, Jean Adams

Open access · goldAbstract readComparative Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. A Realist Scoping Review of Community Nutrition Interventions in the UK: Implications for the 'Nutrition Skills for Life' Programme.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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  15. Industrially processedPublic health nutrition · 2020
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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

3 authors at 1 institution in 1 country.

Chloe Clifford AstburyMRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. cc713@medschl.cam.ac.uk.ORCID 0000-0003-2955-7833
Tarra L PenneyMRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Jean AdamsMRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
University of Cambridge · GB

Funding

British Heart FoundationCancer Research UKMedical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

backgroundDespite inconclusive evidence, the idea that a lack of home food preparation and skills is a limiting factor in achieving a healthy diet is widespread. Cooking skills interventions proliferate, and several countries now mention cooking in their dietary guidelines. The aim of this study was to determine whether substantial consumption of home-prepared food is necessary for high dietary quality by exploring whether individuals can eat healthily while eating little home-prepared food. The diets of these individuals were characterised, and socio-demographic characteristics and prevalence of obesity were also explored.

methodsCross-sectional analysis of UK dietary survey data with objectively measured height and weight and a 4-day food diary for each participant was conducted. A subsample (N = 1063, aged ≥19 years) with a high dietary quality (determined using a score derived from the Dietary Approaches to Stopping Hypertension (DASH) diet) was analysed. Within this, participants were grouped as either high or low home preparation based on the proportion of energy derived from home-prepared food. Regression models were used to determine whether and how those in the high and low home preparation groups differed in terms of socio-demographic characteristics, DASH score, energy intake, prevalence of obesity, and dietary composition.

resultsThe low home preparation group included 442 participants, while 621 participants were in the high home preparation group. The low home preparation group were more likely to be older and white, and less likely to have a degree level education. After adjustment for socio-demographic characteristics, there were no differences in DASH score, energy intake or obesity prevalence between the groups. After adjustment, the low home preparation group consumed more fruit (30.8 additional g/day, 95% CI 5.5-56.1), more low-fat dairy foods (24.6 additional g/day, 95% CI 1.7-47.5) and less red meat (10.4 fewer g/day, 95% CI 4.3-16.6), but also more sugar (11.6 additional g/day, 95% CI 7.5-15.6) and sodium (107.8 additional mg/day, 95% CI 13.8-201.8).

conclusionHome food preparation should not be presented as a prerequisite to a high quality diet. The public health community should recognise the existence of a set of food practices which allows individuals to achieve a healthy diet with little contribution from home-prepared food, and make space for it in the design of their policies and interventions.

Indexed as

CookingFeeding BehaviorAdultBody WeightCross-Sectional StudiesDietDietary Approaches To Stop HypertensionDiet, HealthyDiet RecordsDiet SurveysEatingEnergy IntakeFemaleFruitHumansMaleCookingCooking skillsDASHDiet qualityFood practicesFood skillsHome-prepared food

Identifiers

PMID30654805
PMCPMC6337812
OpenAlexW2915300568

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.