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...
Published in: | Nutrition, Metabolism and Cardiovascular Diseases |
---|---|
Main Authors: | , , , , , |
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 |
id |
ftoslouniv:oai:www.duo.uio.no:10852/107084 |
---|---|
record_format |
openpolar |
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 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 |
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 |
_version_ |
1790608972590350336 |