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Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach

Lipid-lowering therapy (LLT) should be accompanied by dietary guidance for cardiovascular risk reduction; however, current evidence suggests sub-optimal dietary behaviors in those on LLT. We examined the associations between the dietary intake of key food groups (vegetables, fruit, cereal, protein,...

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Autores principales: Gadowski, Adelle M., Nanayakkara, Natalie, Heritier, Stephane, Magliano, Dianna J., Shaw, Jonathan E., Curtis, Andrea J., Zoungas, Sophia, Owen, Alice J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724025/
https://www.ncbi.nlm.nih.gov/pubmed/31405073
http://dx.doi.org/10.3390/nu11081858
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author Gadowski, Adelle M.
Nanayakkara, Natalie
Heritier, Stephane
Magliano, Dianna J.
Shaw, Jonathan E.
Curtis, Andrea J.
Zoungas, Sophia
Owen, Alice J.
author_facet Gadowski, Adelle M.
Nanayakkara, Natalie
Heritier, Stephane
Magliano, Dianna J.
Shaw, Jonathan E.
Curtis, Andrea J.
Zoungas, Sophia
Owen, Alice J.
author_sort Gadowski, Adelle M.
collection PubMed
description Lipid-lowering therapy (LLT) should be accompanied by dietary guidance for cardiovascular risk reduction; however, current evidence suggests sub-optimal dietary behaviors in those on LLT. We examined the associations between the dietary intake of key food groups (vegetables, fruit, cereal, protein, and dairy) and LLT use in Australian adults using quantile regression. We used data from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a prospective population-based study of adults aged ≥25 years, conducted over 5 years (1999–2005). Measurements included a 121-item food frequency questionnaire and LLT use. LLT use was categorized as: LLT users (n = 446), commenced LLT (n = 565), ceased LLT (n = 71), and non-users (n = 4813). Less than 1% of the cohort met recommended intakes of all food groups at the baseline and follow up. The median daily dietary intake at the follow up among LLT users was 2.2 serves of vegetables, 1.4 serves of fruit, 2.8 serves of cereal, 2.0 serves of protein, and 1.4 serves of dairy. Adjusted analysis showed no differences across the quantiles of intake of key food groups in LLT users and commenced LLT compared to non-users. The LLT medication status is not associated with any difference in meeting recommended intakes of key foods.
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spelling pubmed-67240252019-09-10 Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach Gadowski, Adelle M. Nanayakkara, Natalie Heritier, Stephane Magliano, Dianna J. Shaw, Jonathan E. Curtis, Andrea J. Zoungas, Sophia Owen, Alice J. Nutrients Article Lipid-lowering therapy (LLT) should be accompanied by dietary guidance for cardiovascular risk reduction; however, current evidence suggests sub-optimal dietary behaviors in those on LLT. We examined the associations between the dietary intake of key food groups (vegetables, fruit, cereal, protein, and dairy) and LLT use in Australian adults using quantile regression. We used data from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a prospective population-based study of adults aged ≥25 years, conducted over 5 years (1999–2005). Measurements included a 121-item food frequency questionnaire and LLT use. LLT use was categorized as: LLT users (n = 446), commenced LLT (n = 565), ceased LLT (n = 71), and non-users (n = 4813). Less than 1% of the cohort met recommended intakes of all food groups at the baseline and follow up. The median daily dietary intake at the follow up among LLT users was 2.2 serves of vegetables, 1.4 serves of fruit, 2.8 serves of cereal, 2.0 serves of protein, and 1.4 serves of dairy. Adjusted analysis showed no differences across the quantiles of intake of key food groups in LLT users and commenced LLT compared to non-users. The LLT medication status is not associated with any difference in meeting recommended intakes of key foods. MDPI 2019-08-09 /pmc/articles/PMC6724025/ /pubmed/31405073 http://dx.doi.org/10.3390/nu11081858 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gadowski, Adelle M.
Nanayakkara, Natalie
Heritier, Stephane
Magliano, Dianna J.
Shaw, Jonathan E.
Curtis, Andrea J.
Zoungas, Sophia
Owen, Alice J.
Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title_full Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title_fullStr Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title_full_unstemmed Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title_short Association between Dietary Intake and Lipid-Lowering Therapy: Prospective Analysis of Data from Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) Using a Quantile Regression Approach
title_sort association between dietary intake and lipid-lowering therapy: prospective analysis of data from australian diabetes, obesity, and lifestyle study (ausdiab) using a quantile regression approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724025/
https://www.ncbi.nlm.nih.gov/pubmed/31405073
http://dx.doi.org/10.3390/nu11081858
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