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...
Published in: | Nutrition, Metabolism and Cardiovascular Diseases |
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Language: | English |
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Online Access: | https://hdl.handle.net/10037/32446 https://doi.org/10.1016/j.numecd.2023.10.029 |
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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 |
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University of Tromsø: Munin Open Research Archive |
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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 |
_version_ |
1790608972014682112 |