Evidence map›Paper›PMID 38608753›Full record

ArticleThe American journal of clinical nutrition2024

Replacement of Saturated Fatty Acids from Meat by Dairy Sources in Relation to Incident Cardiovascular Disease: The European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk Study.

Yakima D Vogtschmidt, Sabita S Soedamah-Muthu, Fumiaki Imamura, David I Givens, Julie A Lovegrove

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Yakima D VogtschmidtHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom.
Sabita S Soedamah-MuthuInstitute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom; Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands.
Fumiaki ImamuraMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
David I GivensInstitute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom.
Julie A LovegroveHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom. Electronic address: j.a.lovegrove@reading.ac.uk.
University of Reading · GBTilburg University · NLUniversity of Cambridge · GB

Funding

Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5
6 · The paper itself

Abstract

backgroundProspective observational data revealed lower cardiovascular disease (CVD) incidence with modeled replacement of saturated fatty acids (SFA) from total meat by total dairy, but it is unknown what the associations are of replacing SFA from types of meat by types of dairy with CVD incidence.

objectivesThis study aimed to investigate the associations of replacing SFA from total, red, processed, and poultry meat by SFA from total dairy, milk, cheese, and yogurt with the incidence of CVD.

methodsWe analyzed longitudinal data from 21,841 participants of the European Prospective Investigation into Cancer and Nutrition-Norfolk study (56.4% female; age, 40-79 years). Dietary data were collected by food frequency questionnaires at baseline (1993-1997). Incident fatal or nonfatal CVD (n = 5902), coronary artery disease (CAD; n = 4215), stroke (total: n = 2544; ischemic: n = 1113; hemorrhagic: n = 449) were identified up to 2018. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression for the risk associated with replacement of 2.5% of energy from SFA from meat by dairy, adjusted for sociodemographic, lifestyle, energy, dietary, and cardiometabolic factors.

resultsReplacing SFA from total meat by total dairy was associated with a lower CVD incidence (HR: 0.89; 95% CI: 0.82, 0.96) and CAD (HR: 0.88; 95% CI: 0.80, 0.96). Replacing SFA from processed meat by cheese was associated with lower CVD (HR: 0.77; 95% CI: 0.68, 0.88); CAD (HR: 0.77; 95% CI: 0.66, 0.90), and stroke (HR: 0.81; 95% CI: 0.67, 0.99). Similarly, replacing SFA from red meat by cheese was associated with lower CVD (HR: 0.86; 95% CI: 0.76, 0.97). Higher incidence of stroke was found with replacement of SFA from poultry by milk (HR: 2.06; 95% CI: 1.09, 3.89), yogurt (HR: 2.55; 95% CI: 1.27, 5.13), or cheese (HR: 1.96; 95% CI: 1.04, 3.70), but the CI were relatively large, owing to low, narrow range of poultry SFA intake.

conclusionsFindings indicate that different SFA-rich foods at baseline have differential associations with CVD risk. If confirmed by further studies, these findings could be used to inform specific food-based dietary guidance.

Indexed as

Cardiovascular DiseasesDairy ProductsFatty AcidsMeatAdultAgedDietEuropeFemaleHumansIncidenceMaleMiddle AgedProspective StudiesFatty Acidsadultscardiovascular diseasecheesedairymeatmilkprospective studyreplacementsaturated fatty acidsyogurt

Identifiers

PMID38608753
PMCPMC11196860
OpenAlexW4394688524

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LicenceCC BY
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Registered trials

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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.