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 predi...

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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: 2024
Subjects:
Online Access:http://hdl.handle.net/10852/107084
https://doi.org/10.1016/j.numecd.2023.10.029
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spelling ftoslouniv:oai:www.duo.uio.no:10852/107084 2024-02-11T10:09:12+01:00 Associations and predictive power of dietary patterns on metabolic syndrome and its components ENEngelskEnglishAssociations 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 2024-01-10T10:18:02Z http://hdl.handle.net/10852/107084 https://doi.org/10.1016/j.numecd.2023.10.029 EN eng 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. NMCD. Nutrition Metabolism and Cardiovascular Diseases. 2023 http://hdl.handle.net/10852/107084 2223701 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=NMCD. Nutrition Metabolism and Cardiovascular Diseases&rft.volume=&rft.spage=&rft.date=2023 NMCD. Nutrition Metabolism and Cardiovascular Diseases https://doi.org/10.1016/j.numecd.2023.10.029 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ 0939-4753 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2024 ftoslouniv https://doi.org/10.1016/j.numecd.2023.10.029 2024-01-24T23:39:44Z 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 Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Norway Tromsø Nutrition, Metabolism and Cardiovascular Diseases
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
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
publishDate 2024
url http://hdl.handle.net/10852/107084
https://doi.org/10.1016/j.numecd.2023.10.029
geographic Norway
Tromsø
geographic_facet Norway
Tromsø
genre Tromsø
genre_facet Tromsø
op_source 0939-4753
op_relation 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. NMCD. Nutrition Metabolism and Cardiovascular Diseases. 2023
http://hdl.handle.net/10852/107084
2223701
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NMCD. Nutrition Metabolism and Cardiovascular Diseases
https://doi.org/10.1016/j.numecd.2023.10.029
op_rights Attribution 4.0 International
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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