Evidence map›Paper›PMID 28818089›Full record

ArticleThe international journal of behavioral nutrition and physical activity2017

Frequency of eating home cooked meals and potential benefits for diet and health: cross-sectional analysis of a population-based cohort study.

Susanna Mills, Heather Brown, Wendy Wrieden, Martin White, Jean Adams

Registry-linked trialAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06687798 (Validation of a Questionnaire to Evaluate the Home Cooking Skills of Nutrition Professionals and the General Population), which is not on this map. Cited by 155 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing 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.

NCT06687798 unknown statusnot on this mapstarted 2025, after this paper: background citation

Validation of a Questionnaire to Evaluate the Home Cooking Skills of Nutrition Professionals and the General Population (HCSQ-ITA)

TypeobservationalSponsorUniversity of PaviaRan2025 to 2026Enrolled290ConditionsCooking
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  9. Culinary Medicine for CKD.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  10. Article
  11. Associations Between Perceived Tap Water Safety and Dietary Outcomes Among US Adults.Journal of the Academy of Nutrition and Dietetics · 2026
    Article
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95 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

5 authors.

Susanna MillsInstitute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK. susanna.mills@newcastle.ac.uk.
Heather BrownInstitute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
Wendy WriedenHuman Nutrition Research Centre, Institute of Health & Society, Newcastle University, M1.151 William Leech Building, Medical School, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK.
Martin WhiteInstitute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
Jean AdamsCentre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Box 285 Biomedical Campus, Cambridge, CB2 0QQ, UK.

Funding

British Heart FoundationDepartment of Health DRF-2014-07-020Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5Medical Research Council MR/K023187/1Medical Research Council MR/K02325X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundReported associations between preparing and eating home cooked food, and both diet and health, are inconsistent. Most previous research has focused on preparing, rather than eating, home cooked food; used small, non-population based samples; and studied markers of nutrient intake, rather than overall diet quality or health. We aimed to assess whether frequency of consuming home cooked meals was cross-sectionally associated with diet quality and cardio-metabolic health.

methodsWe used baseline data from a United Kingdom population-based cohort study of adults aged 29 to 64 years (n = 11,396). Participants self-reported frequency of consuming home cooked main meals. Diet quality was assessed using the Mediterranean Diet Score, Dietary Approaches to Stop Hypertension (DASH) score, fruit and vegetable intake calculated from a 130-item food frequency questionnaire, and plasma vitamin C. Markers of cardio-metabolic health were researcher-measured body mass index (BMI), percentage body fat, haemoglobin A

resultsEating home cooked meals more frequently was associated with greater adherence to DASH and Mediterranean diets, greater fruit and vegetable intakes and higher plasma vitamin C, in adjusted models. Those eating home cooked meals more than five times, compared with less than three times per week, consumed 62.3 g more fruit (99% CI 43.2 to 81.5) and 97.8 g more vegetables (99% CI 84.4 to 111.2) daily. More frequent consumption of home cooked meals was associated with greater likelihood of having normal range BMI and normal percentage body fat. Associations with HbA

conclusionsIn a large population-based cohort study, eating home cooked meals more frequently was associated with better dietary quality and lower adiposity. Further prospective research is required to identify whether consumption of home cooked meals has causal effects on diet and health.

Indexed as

CookingDietEatingMealsAdiposityAdultBody Mass IndexCohort StudiesCross-Sectional StudiesDiet, HealthyEnergy IntakeFemaleFruitHumansMaleMiddle AgedCardio-metabolic healthDietHome cooking

Identifiers

PMID28818089
PMCPMC5561571

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Registered trials

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.