Evidence map›Paper›PMID 28106791›Full record

ArticleNutrients2017

Dietary Patterns in Relation to Cardiovascular Disease Incidence and Risk Markers in a Middle-Aged British Male Population: Data from the Caerphilly Prospective Study.

Elly Mertens, Oonagh Markey, Johanna M Geleijnse, David Ian Givens, Julie A Lovegrove

Registry-linked trialAbstract 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. It is linked to trial NCT04510324 (Plant-Based Meat vs Animal "Red" Meat), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT04510324 nacompletednot on this mapstarted 2020, after this paper: background citation

Plant-Based Meat vs Animal "Red" Meat: a Randomized Cross-over Trial

TypeinterventionalSponsorMcGill University Health Centre/Research Institute of the McGill University Health CentreRan2020 to 2023Enrolled41ConditionsInflammatory ResponseArmsRed meat patties group, Plant-based patties group
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  5. How COVID-19 Pandemic Has Influenced Public Interest in Foods: A Google Trends Analysis of Italian Data.International journal of environmental research and public health · 2023
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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

5 authors.

Elly MertensDivision of Human Nutrition, Wageningen University, 6700AA Wageningen, The Netherlands. elly.mertens@wur.nl.
Oonagh MarkeyHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6AP, UK. o.markey@lboro.ac.uk.
Johanna M GeleijnseDivision of Human Nutrition, Wageningen University, 6700AA Wageningen, The Netherlands. marianne.geleijnse@wur.nl.
David Ian GivensCentre for Food, Nutrition and Health, Faculty of Life Sciences, University of Reading, Reading RG6 6AP, UK. d.i.givens@reading.ac.uk.
Julie A LovegroveHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6AP, UK. j.a.lovegrove@reading.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary behaviour is an important modifiable factor in cardiovascular disease (CVD) prevention. The study aimed to identify dietary patterns (DPs) and explore their association with CVD incidence and risk markers. A follow-up of 1838 middle-aged men, aged 47-67 years recruited into the Caerphilly Prospective Cohort Study at phase 2 (1984-1988) was undertaken. Principal component analysis identified three DPs at baseline, which explained 24.8% of the total variance of food intake. DP1, characterised by higher intakes of white bread, butter, lard, chips and sugar-sweetened beverages and lower intake of wholegrain bread, was associated with higher CVD (HR 1.35: 95% CI: 1.10, 1.67) and stroke (HR 1.77; 95% CI: 1.18, 2.63) incidence. DP3, characterised by higher intakes of sweet puddings and biscuits, wholegrain breakfast cereals and dairy (excluding cheese and butter) and lower alcohol intake, was associated with lower CVD (HR 0.76; 95% CI: 0.62, 0.93), coronary heart disease (HR: 0.68; 95% CI: 0.52, 0.90) and stroke (HR: 0.68; 95% CI: 0.47, 0.99) incidence and a beneficial CVD profile at baseline, while DP1 with an unfavourable profile, showed no clear associations after 12 years follow-up. Dietary pattern 2 (DP2), characterised by higher intake of pulses, fish, poultry, processed/red meat, rice, pasta and vegetables, was not associated with the aforementioned outcomes. These data may provide insight for development of public health initiatives focussing on feasible changes in dietary habits.

Indexed as

DietAgedBlood GlucoseBody Mass IndexCardiovascular DiseasesCholesterol, HDLCholesterol, LDLC-Reactive ProteinCross-Sectional StudiesEnergy IntakeFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleMiddle AgedBlood GlucoseCholesterol, HDLCholesterol, LDLC-Reactive ProteinTriglyceridesCaerphilly Prospective Study (CaPS)cardiovascular incidencecardiovascular risk markersdietary patternsprincipal component analysis

Identifiers

PMID28106791
PMCPMC5295119

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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.