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Lookup NU author(s): Dr Katherine Livingstone, Dr Carlos Celis Morales, Professor John Mathers
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© 2022 Elsevier Inc. Few studies have derived dietary patterns based on intake of discretionary foods and beverages and examined associations with genetic risk and obesity. We examined associations between dietary patterns based on discretionary foods, saturated fatty acids (SFA), and fiber, with a polygenetic risk score (PRS) for obesity and risk of overall obesity, central obesity and high body fat (BF) up to 9.7 years later. Data from 11,735 adults from the UK Biobank cohort study were used. Dietary patterns were derived from 24-h dietary assessments using reduced rank regression (response variables: discretionary foods and beverages [%E]; SFA [%E]; fiber density [g/MJ]). Cox proportional hazard models were used to investigate associations between dietary patterns and incident overall obesity, central obesity and high BF, with interactions by PRS. Three dietary patterns (DP) were identified. DP1, correlated positively with discretionary foods and SFA, inversely with fiber, was associated with higher risk of central obesity (hazard ratio: 1.08; 95% confidence interval: 1.02, 1.14). DP2, correlated positively with discretionary foods and fiber, inversely with SFA, was not associated with obesity incidence. DP3, correlated positively with SFA and fiber, inversely with discretionary foods, was associated with lower risk of central obesity (hazard ratio: 0.92; 95% confidence interval: 0.87, 0.98). There was limited evidence of interactions with PRS. A dietary pattern high in high-SFA and low-fiber discretionary foods and beverages was associated with higher risk of obesity, independent of genetic predisposition.
Author(s): Livingstone KM, Brayner B, Celis-Morales C, Ward J, Mathers JC, Bowe SJ
Publication type: Article
Publication status: Published
Journal: Preventive Medicine
Year: 2022
Volume: 158
Print publication date: 01/05/2022
Online publication date: 26/03/2022
Acceptance date: 21/03/2022
ISSN (print): 0091-7435
ISSN (electronic): 1096-0260
Publisher: Academic Press Inc.
URL: https://doi.org/10.1016/j.ypmed.2022.107035
DOI: 10.1016/j.ypmed.2022.107035
PubMed id: 35346749
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