Ultra-processed food intake and incident venous thromboembolism risk: Prospective cohort study.

Cohort Deep vein thrombosis Pulmonary embolism Ultra-processed food Venous thromboembolism

Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
08 2023
Historique:
received: 02 03 2023
revised: 11 06 2023
accepted: 12 06 2023
medline: 23 10 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: ppublish

Résumé

Ultra-processed food (UPF) intake has been associated with multiple health outcomes, but data on the association between UPF intake and venous thromboembolism (VTE) risk are lacking. We conducted this study to examine the association between UPF intake and the risk of incident VTE. This prospective cohort study was based on 186,323 participants free of baseline VTE from the UK Biobank. UPF intake was assessed by 24-h recall questionnaires. Data on incident VTE came from the nationwide inpatient and primary care datasets and the death registry. Cox proportional hazards regression was used to estimate the association between UPF intake and incident VTE risk. Multiplicative interactions and stratified analyses by age, sex, and body mass index were performed. During a 10.5-year (median) follow-up, 4235 incident VTE cases were diagnosed. After adjusting for covariates, the hazard ratio of VTE among individuals with the highest quintile of UPF intake was 1.05 (95% confidence interval [CI] 0.94, 1.17) for UPF in servings, 1.12 (95% CI 1.01, 1.24) in grams, 1.10 (95% CI 1.00, 1.22) in grams %, 1.21 (95% CI 1.10, 1.33) in energy, and 1.15 (95% CI 1.05, 1.27) in energy % compared to those in the lowest quintile. Age, sex, and body mass index did not modify the associations (P Higher UPF intake was associated with a moderately increased risk of VTE.

Sections du résumé

BACKGROUND & AIMS
Ultra-processed food (UPF) intake has been associated with multiple health outcomes, but data on the association between UPF intake and venous thromboembolism (VTE) risk are lacking. We conducted this study to examine the association between UPF intake and the risk of incident VTE.
METHODS
This prospective cohort study was based on 186,323 participants free of baseline VTE from the UK Biobank. UPF intake was assessed by 24-h recall questionnaires. Data on incident VTE came from the nationwide inpatient and primary care datasets and the death registry. Cox proportional hazards regression was used to estimate the association between UPF intake and incident VTE risk. Multiplicative interactions and stratified analyses by age, sex, and body mass index were performed.
RESULTS
During a 10.5-year (median) follow-up, 4235 incident VTE cases were diagnosed. After adjusting for covariates, the hazard ratio of VTE among individuals with the highest quintile of UPF intake was 1.05 (95% confidence interval [CI] 0.94, 1.17) for UPF in servings, 1.12 (95% CI 1.01, 1.24) in grams, 1.10 (95% CI 1.00, 1.22) in grams %, 1.21 (95% CI 1.10, 1.33) in energy, and 1.15 (95% CI 1.05, 1.27) in energy % compared to those in the lowest quintile. Age, sex, and body mass index did not modify the associations (P
CONCLUSIONS
Higher UPF intake was associated with a moderately increased risk of VTE.

Identifiants

pubmed: 37348154
pii: S0261-5614(23)00201-7
doi: 10.1016/j.clnu.2023.06.016
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1268-1275

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest All authors declare no conflict of interest.

Auteurs

Shuai Yuan (S)

Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: shuai.yuan@ki.se.

Jie Chen (J)

Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Tian Fu (T)

Department of Gastroenterology, Central South University, Changsha, China.

Xue Li (X)

Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Maria Bruzelius (M)

Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Coagulation Unit, Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.

Agneta Åkesson (A)

Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Susanna C Larsson (SC)

Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. Electronic address: susanna.larsson@ki.se.

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