Protein intake and the incidence of pre-diabetes and diabetes in 4 population-based studies: the PREVIEW project.


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:
01 05 2019
Historique:
received: 08 05 2018
accepted: 20 12 2018
entrez: 4 5 2019
pubmed: 6 5 2019
medline: 24 12 2019
Statut: ppublish

Résumé

Data on the relationship between protein intake and the risk of type 2 diabetes are conflicting. We studied prospective associations between the intake of total, plant-based, and animal protein and the risk of pre-diabetes and diabetes in 4 population-based studies included in the PREVIEW project. Analyses were conducted with the use of data from 3 European cohorts and 1 Canadian cohort, including 78,851 participants. Protein intake was assessed through the use of harmonized data from food-frequency questionnaires or 3-d dietary records. Cohort-specific incidence ratios (IRs) were estimated for pre-diabetes and diabetes, adjusting for general characteristics, lifestyle and dietary factors, disease history, and body mass index (BMI) and waist circumference; results were pooled based on a random-effects meta-analysis. Higher total protein intake (g · kg-1 · d-1) was associated with lower incidences of pre-diabetes and diabetes (pooled IRs: 0.84; 95% CI: 0.82, 0.87 and 0.49; 95% CI: 0.28, 0.83, respectively); plant-based protein intake was the main determinant (pooled IRs: 0.83; 95% CI: 0.81, 0.86 and 0.53; 95% CI: 0.36, 0.76, respectively). Substituting 2 energy percentage (E%) protein at the expense of carbohydrates revealed increased risks of pre-diabetes and diabetes (pooled IRs: 1.04; 95% CI: 1.01, 1.07 and 1.09; 95% CI: 1.01, 1.18, respectively). Except for the associations between intakes of total protein and plant-based protein (g · kg-1 · d-1) and diabetes, all other associations became nonsignificant after adjustment for BMI and waist circumference. Higher protein intake (g · kg-1 · d-1) was associated with a lower risk of pre-diabetes and diabetes. Associations were substantially attenuated after adjustments for BMI and waist circumference, which demonstrates a crucial role for adiposity and may account for previous conflicting findings. This study was registered at ISRCTN as ISRCTN31174892.

Sections du résumé

BACKGROUND
Data on the relationship between protein intake and the risk of type 2 diabetes are conflicting.
OBJECTIVE
We studied prospective associations between the intake of total, plant-based, and animal protein and the risk of pre-diabetes and diabetes in 4 population-based studies included in the PREVIEW project.
METHODS
Analyses were conducted with the use of data from 3 European cohorts and 1 Canadian cohort, including 78,851 participants. Protein intake was assessed through the use of harmonized data from food-frequency questionnaires or 3-d dietary records. Cohort-specific incidence ratios (IRs) were estimated for pre-diabetes and diabetes, adjusting for general characteristics, lifestyle and dietary factors, disease history, and body mass index (BMI) and waist circumference; results were pooled based on a random-effects meta-analysis.
RESULTS
Higher total protein intake (g · kg-1 · d-1) was associated with lower incidences of pre-diabetes and diabetes (pooled IRs: 0.84; 95% CI: 0.82, 0.87 and 0.49; 95% CI: 0.28, 0.83, respectively); plant-based protein intake was the main determinant (pooled IRs: 0.83; 95% CI: 0.81, 0.86 and 0.53; 95% CI: 0.36, 0.76, respectively). Substituting 2 energy percentage (E%) protein at the expense of carbohydrates revealed increased risks of pre-diabetes and diabetes (pooled IRs: 1.04; 95% CI: 1.01, 1.07 and 1.09; 95% CI: 1.01, 1.18, respectively). Except for the associations between intakes of total protein and plant-based protein (g · kg-1 · d-1) and diabetes, all other associations became nonsignificant after adjustment for BMI and waist circumference.
CONCLUSIONS
Higher protein intake (g · kg-1 · d-1) was associated with a lower risk of pre-diabetes and diabetes. Associations were substantially attenuated after adjustments for BMI and waist circumference, which demonstrates a crucial role for adiposity and may account for previous conflicting findings. This study was registered at ISRCTN as ISRCTN31174892.

Identifiants

pubmed: 31051510
pii: S0002-9165(22)03190-2
doi: 10.1093/ajcn/nqy388
pmc: PMC6499506
doi:

Substances chimiques

Dietary Proteins 0
Plant Proteins, Dietary 0

Banques de données

ISRCTN
['ISRCTN31174892']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1310-1318

Subventions

Organisme : CIHR
ID : MOP-77652
Pays : Canada
Organisme : CIHR
ID : OHN-63276
Pays : Canada

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © American Society for Nutrition 2019.

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Auteurs

Diewertje Sluik (D)

Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.

Elske M Brouwer-Brolsma (EM)

Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.

Agnes A M Berendsen (AAM)

Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.

Vera Mikkilä (V)

Division of Nutrition, Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.

Sally D Poppitt (SD)

Human Nutrition Unit, Department of Medicine and School of Biological Sciences, University of Auckland, Auckland, New Zealand.

Marta P Silvestre (MP)

Human Nutrition Unit, Department of Medicine and School of Biological Sciences, University of Auckland, Auckland, New Zealand.

Louis Pérusse (L)

Department of Kinesiology, Université Laval, Québec City, Canada.
Institute of Nutrition and Functional Foods, Université Laval, Québec City, Canada.

Claude Bouchard (C)

Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA.

Anne Raben (A)

Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark.

Edith J M Feskens (EJM)

Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.

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Classifications MeSH