Ontology highlight
ABSTRACT: Objective
The objective of this study was to examine the associations between ultra-processed food consumption and risk of obesity among UK adults.Methods
Participants aged 40-69 years at recruitment in the UK Biobank (2006-2019) with dietary intakes collected using 24-h recall and repeated measures of adiposity--body mass index (BMI), waist circumference (WC) and percentage of body fat (% BF)--were included (N = 22,659; median follow-up: 5 years). Ultra-processed foods were identified using the NOVA classification and their consumption was expressed as a percentage of total energy intake. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HR) of several indicators of obesity according to ultra-processed food consumption. Models we
SUBMITTER: Rauber F
PROVIDER: S-EPMC8137628 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature