The EAT-Lancet diet, genetic susceptibility and risk of atrial fibrillation in a population-based cohort.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
28 07 2023
Historique:
received: 12 01 2023
accepted: 19 07 2023
medline: 31 7 2023
pubmed: 29 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

The EAT-Lancet Commission proposed a global reference diet with both human health benefits and environmental sustainability in 2019. However, evidence regarding the association of such a diet with the risk of atrial fibrillation (AF) is lacking. In addition, whether the genetic risk of AF can modify the effect of diet on AF remains unclear. This study aimed to assess the association of the EAT-Lancet diet with the risk of incident AF and examine the interaction between the EAT-Lancet diet and genetic susceptibility of AF. This prospective study included 24,713 Swedish adults who were free of AF, coronary events, and stroke at baseline. Dietary habits were estimated with a modified diet history method, and an EAT-Lancet diet index was constructed to measure the EAT-Lancet reference diet. A weighted genetic risk score was constructed using 134 variants associated with AF. Cox proportional hazards regression models were applied to estimate the hazard ratio (HR) and 95% confidence interval (CI). During a median follow-up of 22.9 years, 4617 (18.7%) participants were diagnosed with AF. The multivariable HR (95% CI) of AF for the highest versus the lowest group for the EAT-Lancet diet index was 0.84 (0.73, 0.98) (P for trend < 0.01). The HR (95% CI) of AF per one SD increment of the EAT-Lancet diet index for high genetic risk was 0.92 (0.87, 0.98) (P for interaction = 0.15). Greater adherence to the EAT-Lancet diet index was significantly associated with a lower risk of incident AF. Such association tended to be stronger in participants with higher genetic risk, though gene-diet interaction was not significant.

Sections du résumé

BACKGROUND
The EAT-Lancet Commission proposed a global reference diet with both human health benefits and environmental sustainability in 2019. However, evidence regarding the association of such a diet with the risk of atrial fibrillation (AF) is lacking. In addition, whether the genetic risk of AF can modify the effect of diet on AF remains unclear. This study aimed to assess the association of the EAT-Lancet diet with the risk of incident AF and examine the interaction between the EAT-Lancet diet and genetic susceptibility of AF.
METHODS
This prospective study included 24,713 Swedish adults who were free of AF, coronary events, and stroke at baseline. Dietary habits were estimated with a modified diet history method, and an EAT-Lancet diet index was constructed to measure the EAT-Lancet reference diet. A weighted genetic risk score was constructed using 134 variants associated with AF. Cox proportional hazards regression models were applied to estimate the hazard ratio (HR) and 95% confidence interval (CI).
RESULTS
During a median follow-up of 22.9 years, 4617 (18.7%) participants were diagnosed with AF. The multivariable HR (95% CI) of AF for the highest versus the lowest group for the EAT-Lancet diet index was 0.84 (0.73, 0.98) (P for trend < 0.01). The HR (95% CI) of AF per one SD increment of the EAT-Lancet diet index for high genetic risk was 0.92 (0.87, 0.98) (P for interaction = 0.15).
CONCLUSIONS
Greater adherence to the EAT-Lancet diet index was significantly associated with a lower risk of incident AF. Such association tended to be stronger in participants with higher genetic risk, though gene-diet interaction was not significant.

Identifiants

pubmed: 37507726
doi: 10.1186/s12916-023-02985-6
pii: 10.1186/s12916-023-02985-6
pmc: PMC10386230
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

280

Informations de copyright

© 2023. The Author(s).

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Auteurs

Shunming Zhang (S)

School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China. shunming.zhang@med.lu.se.
Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden. shunming.zhang@med.lu.se.

Anna Stubbendorff (A)

Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.

Ulrika Ericson (U)

Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.

Per Wändell (P)

Department of Neurobiology Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.

Kaijun Niu (K)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Lu Qi (L)

Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Yan Borné (Y)

Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.

Emily Sonestedt (E)

Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden. emily.sonestedt@med.lu.se.

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