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Associations of fruit intake with adiposity and cardiometabolic biomarkers in UK Biobank

Title: Associations of fruit intake with adiposity and cardiometabolic biomarkers in UK Biobank
Authors: Trichia, E; MacLean, F; Perez-Cornago, A; Tong, TYN; Emberson, JR; Key, TJ; Lewington, S; Carter, JL
Publisher Information: BioMed Central
Publication Year: 2024
Collection: Oxford University Research Archive (ORA)
Description: Background: Fruit consumption has been associated with a lower cardiovascular disease (CVD) risk but the underlying mechanisms are unclear. We investigated the cross-sectional and prospective associations of fruit consumption with markers of adiposity, blood pressure, lipids, low-grade inflammation, glycaemia, and oxidative stress. Methods: The main analyses included 365 534 middle-aged adults from the UK Biobank at baseline, of whom 11 510, and 38 988 were included in the first and second follow-up respectively, free from CVD and cancer at baseline. Fruit consumption frequency at baseline was assessed using a questionnaire. We assessed the cross-sectional and prospective associations of fruit with adiposity (body mass index, waist circumference and %body fat), systolic and diastolic blood pressure, lipids (low-density and high-density lipoproteins, triglycerides and apolipoprotein B), glycaemia (haemoglobin A1c), low-grade inflammation (C-reactive protein) and oxidative stress (gamma-glutamyl-transferase) using linear regression models adjusted for socioeconomic and lifestyle factors. Analyses were repeated in a subset with two to five complete 24-h dietary assessments (n = 26 596) allowing for adjustment for total energy intake. Results: Fruit consumption at baseline generally showed weak inverse associations with adiposity and biomarkers at baseline. Most of these relationships did not persist through follow-up, except for inverse associations with diastolic blood pressure, C-reactive protein, gamma-glutamyl transferase and adiposity. However, for most mechanisms, mean levels varied by less than 0.1 standard deviations (SD) between high and low fruit consumption (> 3 vs < 1 servings/day) in further adjusted models (while the difference was < 0.2 SD for all of them). For example, waist circumference and diastolic blood pressure were 1 cm and 1 mmHg lower in high compared to low fruit intake at the first follow-up (95% confidence interval: -1.8, -0.1 and -1.8, -0.3, respectively). Analyses in the 24-h ...
Document Type: article in journal/newspaper
Language: English
DOI: 10.1186/s12889-024-19505-7
Availability: https://doi.org/10.1186/s12889-024-19505-7; https://ora.ox.ac.uk/objects/uuid:fc5d3b45-f655-4dfe-bb24-f0ed7ac2fc87
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.CDA32293
Database: BASE