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dc.contributor.authorMoe, Åse Mari
dc.contributor.authorYtterstad, Elinor
dc.contributor.authorHopstock, Laila Arnesdatter
dc.contributor.authorLøvsletten, Ola
dc.contributor.authorCarlsen, Monica Hauger
dc.contributor.authorSørbye, Sigrunn Holbek
dc.description.abstractBackground and aims: Metabolic syndrome (MetS) defines important risk factors in the development of cardiovascular diseases and other serious health conditions. This study aims to investigate the influence of different dietary patterns on MetS and its components, examining both associations and predictive performance.<p> <p>Methods and results: The study sample included 10,750 participants from the seventh survey of the cross-sectional, population-based Tromsø Study in Norway. Diet intake scores were used as covariates in logistic regression models, controlling for age, educational level and other lifestyle variables, with MetS and its components as response variables. A diet high in meat and sweets was positively associated with increased odds of MetS and elevated waist circumference, while a plant-based diet was associated with decreased odds of hypertension in women and elevated levels of triglycerides in men. The predictive power of dietary patterns derived by different dimensionality reduction techniques was investigated by randomly partitioning the study sample into training and test sets. On average, the diet score variables demonstrated the highest predictive power in predicting MetS and elevated waist circumference. The predictive power was robust to the dimensionality reduction technique used and comparable to using a data-driven prediction method on individual food variables. <p>Conclusions: The strongest associations and highest predictive power of dietary patterns were observed for MetS and its single component, elevated waist circumference.en_US
dc.identifier.citationMoe, Ytterstad, Hopstock, Løvsletten, Carlsen, Sørbye. Associations and predictive power of dietary patterns on metabolic syndrome and its components. NMCD. Nutrition Metabolism and Cardiovascular Diseases. 2023en_US
dc.identifier.cristinIDFRIDAID 2223701
dc.relation.journalNMCD. Nutrition Metabolism and Cardiovascular Diseases
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleAssociations and predictive power of dietary patterns on metabolic syndrome and its componentsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US

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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)