Dietary intake of plant- and animal-derived protein and incident cardiovascular diseases: the pan-European EPIC-CVD case-cohort study.

animal-derived protein cardiovascular disease ischemic heart disease plant-derived protein stroke

Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
11 Mar 2024
Historique:
received: 10 10 2023
revised: 15 02 2024
accepted: 07 03 2024
pubmed: 14 3 2024
medline: 14 3 2024
entrez: 13 3 2024
Statut: aheadofprint

Résumé

Epidemiological evidence suggests that a potential association between dietary protein intake and cardiovascular disease (CVD) may depend on the protein source, that is, plant- or animal-derived, but past research was limited and inconclusive. To evaluate the association of dietary plant- or animal-derived protein consumption with risk of CVD, and its components ischemic heart disease (IHD) and stroke. This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD case-cohort study included 16,244 incident CVD cases (10,784 IHD and 6423 stroke cases) and 15,141 subcohort members from 7 European countries. We investigated the association of estimated dietary protein intake with CVD, IHD, and stroke (total, fatal, and nonfatal) using multivariable-adjusted Prentice-weighted Cox regression. We estimated isocaloric substitutions of replacing fats and carbohydrates with plant- or animal-derived protein and replacing food-specific animal protein with plant protein. Multiplicative interactions between dietary protein and prespecified variables were tested. Neither plant- nor animal-derived protein intake was associated with incident CVD, IHD, or stroke in adjusted analyses without or with macronutrient-specified substitution analyses. Higher plant-derived protein intake was associated with 22% lower total stroke incidence among never smokers [HR 0.78, 95% confidence intervals (CI): 0.62, 0.99], but not among current smokers (HR 1.08, 95% CI: 0.83, 1.40, P-interaction = 0.004). Moreover, higher plant-derived protein (per 3% total energy) when replacing red meat protein (HR 0.52, 95% CI: 0.31, 0.88), processed meat protein (HR 0.39, 95% CI: 0.17, 0.90), and dairy protein (HR 0.54, 95% CI: 0.30, 0.98) was associated with lower incidence of fatal stroke. Plant- or animal-derived protein intake was not associated with overall CVD. However, the association of plant-derived protein consumption with lower total stroke incidence among nonsmokers, and with lower incidence of fatal stroke highlights the importance of investigating CVD subtypes and potential interactions. These observations warrant further investigation in diverse populations with varying macronutrient intakes and dietary patterns.

Sections du résumé

BACKGROUND BACKGROUND
Epidemiological evidence suggests that a potential association between dietary protein intake and cardiovascular disease (CVD) may depend on the protein source, that is, plant- or animal-derived, but past research was limited and inconclusive.
OBJECTIVES OBJECTIVE
To evaluate the association of dietary plant- or animal-derived protein consumption with risk of CVD, and its components ischemic heart disease (IHD) and stroke.
METHODS METHODS
This analysis in the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD case-cohort study included 16,244 incident CVD cases (10,784 IHD and 6423 stroke cases) and 15,141 subcohort members from 7 European countries. We investigated the association of estimated dietary protein intake with CVD, IHD, and stroke (total, fatal, and nonfatal) using multivariable-adjusted Prentice-weighted Cox regression. We estimated isocaloric substitutions of replacing fats and carbohydrates with plant- or animal-derived protein and replacing food-specific animal protein with plant protein. Multiplicative interactions between dietary protein and prespecified variables were tested.
RESULTS RESULTS
Neither plant- nor animal-derived protein intake was associated with incident CVD, IHD, or stroke in adjusted analyses without or with macronutrient-specified substitution analyses. Higher plant-derived protein intake was associated with 22% lower total stroke incidence among never smokers [HR 0.78, 95% confidence intervals (CI): 0.62, 0.99], but not among current smokers (HR 1.08, 95% CI: 0.83, 1.40, P-interaction = 0.004). Moreover, higher plant-derived protein (per 3% total energy) when replacing red meat protein (HR 0.52, 95% CI: 0.31, 0.88), processed meat protein (HR 0.39, 95% CI: 0.17, 0.90), and dairy protein (HR 0.54, 95% CI: 0.30, 0.98) was associated with lower incidence of fatal stroke.
CONCLUSION CONCLUSIONS
Plant- or animal-derived protein intake was not associated with overall CVD. However, the association of plant-derived protein consumption with lower total stroke incidence among nonsmokers, and with lower incidence of fatal stroke highlights the importance of investigating CVD subtypes and potential interactions. These observations warrant further investigation in diverse populations with varying macronutrient intakes and dietary patterns.

Identifiants

pubmed: 38479550
pii: S0002-9165(24)00341-1
doi: 10.1016/j.ajcnut.2024.03.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Ju-Sheng Zheng (JS)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; School of Life Sciences, Westlake University, Hangzhou, China. Electronic address: zhengjusheng@westlake.edu.cn.

Marinka Steur (M)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands.

Fumiaki Imamura (F)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.

Heinz Freisling (H)

International Agency for Research on Cancer (IARC-WHO), Lyon, France.

Laura Johnson (L)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Yvonne T van der Schouw (YT)

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Tammy Yn Tong (TY)

Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Elisabete Weiderpass (E)

International Agency for Research on Cancer (IARC-WHO), Lyon, France.

Rashmita Bajracharya (R)

Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Marta Crous-Bou (M)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain; Department of Epidemiology, Harvard T.H. Chan School of Public Health. Boston, MA, United States.

Christina C Dahm (CC)

Department of Public Health, Aarhus University, Aarhus, Denmark.

Alicia K Heath (AK)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Daniel B Ibsen (DB)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Public Health, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus, Denmark; Department of Nutrition, Sports and Exercise, University of Copenhagen, Copenhagen, Denmark.

Franziska Jannasch (F)

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.

Verena Katzke (V)

Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Giovanna Masala (G)

Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.

Conchi Moreno-Iribas (C)

Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.

Carlotta Sacerdote (C)

Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy.

Matthias B Schulze (MB)

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.

Sabina Sieri (S)

Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy.

Nicholas J Wareham (NJ)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.

John Danesh (J)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom; Department of Human Genetics, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.

Adam S Butterworth (AS)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom.

Nita G Forouhi (NG)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom. Electronic address: nita.forouhi@mrc-epid.cam.ac.uk.

Classifications MeSH