Associations and predictive power of dietary patterns on metabolic syndrome and its components

Background 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 pred...

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Published in:Nutrition, Metabolism and Cardiovascular Diseases
Main Authors: Moe, Åse Mari, Ytterstad, Elinor, Hopstock, Laila Arnesdatter, Løvsletten, Ola, Carlsen, Monica Hauger, Sørbye, Sigrunn Holbek
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
Subjects:
Online Access:https://hdl.handle.net/10037/32446
https://doi.org/10.1016/j.numecd.2023.10.029
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/32446 2024-02-11T10:09:12+01:00 Associations and predictive power of dietary patterns on metabolic syndrome and its components Moe, Åse Mari Ytterstad, Elinor Hopstock, Laila Arnesdatter Løvsletten, Ola Carlsen, Monica Hauger Sørbye, Sigrunn Holbek 2023-10-31 https://hdl.handle.net/10037/32446 https://doi.org/10.1016/j.numecd.2023.10.029 eng eng Elsevier NMCD. Nutrition Metabolism and Cardiovascular Diseases Moe, Ytterstad, Hopstock, Løvsletten, Carlsen, Sørbye. Associations and predictive power of dietary patterns on metabolic syndrome and its components. NMCD. Nutrition Metabolism and Cardiovascular Diseases. 2023 FRIDAID 2223701 doi:10.1016/j.numecd.2023.10.029 0939-4753 1590-3729 https://hdl.handle.net/10037/32446 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2023 ftunivtroemsoe https://doi.org/10.1016/j.numecd.2023.10.029 2024-01-18T00:08:05Z Background 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. 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. Conclusions: The strongest associations and highest predictive power of dietary patterns were observed for MetS and its single component, elevated waist circumference. Article in Journal/Newspaper Tromsø University of Tromsø: Munin Open Research Archive Norway Tromsø Nutrition, Metabolism and Cardiovascular Diseases
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
description Background 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. 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. Conclusions: The strongest associations and highest predictive power of dietary patterns were observed for MetS and its single component, elevated waist circumference.
format Article in Journal/Newspaper
author Moe, Åse Mari
Ytterstad, Elinor
Hopstock, Laila Arnesdatter
Løvsletten, Ola
Carlsen, Monica Hauger
Sørbye, Sigrunn Holbek
spellingShingle Moe, Åse Mari
Ytterstad, Elinor
Hopstock, Laila Arnesdatter
Løvsletten, Ola
Carlsen, Monica Hauger
Sørbye, Sigrunn Holbek
Associations and predictive power of dietary patterns on metabolic syndrome and its components
author_facet Moe, Åse Mari
Ytterstad, Elinor
Hopstock, Laila Arnesdatter
Løvsletten, Ola
Carlsen, Monica Hauger
Sørbye, Sigrunn Holbek
author_sort Moe, Åse Mari
title Associations and predictive power of dietary patterns on metabolic syndrome and its components
title_short Associations and predictive power of dietary patterns on metabolic syndrome and its components
title_full Associations and predictive power of dietary patterns on metabolic syndrome and its components
title_fullStr Associations and predictive power of dietary patterns on metabolic syndrome and its components
title_full_unstemmed Associations and predictive power of dietary patterns on metabolic syndrome and its components
title_sort associations and predictive power of dietary patterns on metabolic syndrome and its components
publisher Elsevier
publishDate 2023
url https://hdl.handle.net/10037/32446
https://doi.org/10.1016/j.numecd.2023.10.029
geographic Norway
Tromsø
geographic_facet Norway
Tromsø
genre Tromsø
genre_facet Tromsø
op_relation NMCD. Nutrition Metabolism and Cardiovascular Diseases
Moe, Ytterstad, Hopstock, Løvsletten, Carlsen, Sørbye. Associations and predictive power of dietary patterns on metabolic syndrome and its components. NMCD. Nutrition Metabolism and Cardiovascular Diseases. 2023
FRIDAID 2223701
doi:10.1016/j.numecd.2023.10.029
0939-4753
1590-3729
https://hdl.handle.net/10037/32446
op_rights Attribution 4.0 International (CC BY 4.0)
openAccess
Copyright 2023 The Author(s)
https://creativecommons.org/licenses/by/4.0
op_doi https://doi.org/10.1016/j.numecd.2023.10.029
container_title Nutrition, Metabolism and Cardiovascular Diseases
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