Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort ...

• Main Authors: Winkvist, Anna, Johansson, Ingegerd, Ellegård, Lars, Lindqvist, Helen M
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2024
• Subjects: Biochemistry; Biotechnology; Chemical Sciences not elsewhere classified; Ecology; FOS Biological sciences; Sociology; FOS Sociology; Biological Sciences not elsewhere classified; Inorganic Chemistry; FOS Chemical sciences; Plant Biology; Northern Sweden
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.7101367; https://springernature.figshare.com/collections/Towards_objective_measurements_of_habitual_dietary_intake_patterns_comparing_NMR_metabolomics_and_food_frequency_questionnaire_data_in_a_population-based_cohort/7101367

Abstract Background Low-quality, non-diverse diet is a main risk factor for premature death. Accurate measurement of habitual diet is challenging and there is a need for validated objective methods. Blood metabolite patterns reflect direct or enzymatically diet-induced metabolites. Here, we aimed to evaluate associations between blood metabolite patterns and a priori and data-driven food intake patterns. Methods 1, 895 participants in the Northern Sweden Health and Disease Study, a population-based prospective cohort study, were included. Fasting plasma samples were analyzed with 1H Nuclear Magnetic Resonance. Food intake data from a 64-item validated food frequency questionnaire were summarized into a priori Healthy Diet Score (HDS), relative Mediterranean Diet Score (rMDS) and a set of plant-based diet indices (PDI) as well as data driven clusters from latent class analyses (LCA). Orthogonal projections to latent structures (OPLS) were used to explore clustering patterns of metabolites and their relation ...