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Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)

Nutritional data reduction methods are widely applied in nutrition epidemiology in order to classify individuals into meaningful groups with similar dietary patterns. To date, none of the existing studies have applied latent class analysis to examine dietary patterns which include meal types consume...

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Autores principales: Uzhova, Irina, Woolhead, Clara, Timon, Claire M., O’Sullivan, Aifric, Brennan, Lorraine, Peñalvo, José L., Gibney, Eileen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872728/
https://www.ncbi.nlm.nih.gov/pubmed/29509665
http://dx.doi.org/10.3390/nu10030310
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author Uzhova, Irina
Woolhead, Clara
Timon, Claire M.
O’Sullivan, Aifric
Brennan, Lorraine
Peñalvo, José L.
Gibney, Eileen R.
author_facet Uzhova, Irina
Woolhead, Clara
Timon, Claire M.
O’Sullivan, Aifric
Brennan, Lorraine
Peñalvo, José L.
Gibney, Eileen R.
author_sort Uzhova, Irina
collection PubMed
description Nutritional data reduction methods are widely applied in nutrition epidemiology in order to classify individuals into meaningful groups with similar dietary patterns. To date, none of the existing studies have applied latent class analysis to examine dietary patterns which include meal types consumed throughout a day. We investigated main meal patterns followed on weekend and weekdays, and evaluated their associations with cardio-metabolic biomarkers. The analyses were performed within the NANS (National Adult Nutrition Survey) a cross-sectional national food consumption survey of 1500 nationally representative Irish adults. A total number of seven dietary patterns were identified using latent class analysis. The typical meal pattern followed by the majority of the population was characterized by consumption of cereal or toast for breakfast, skipping or consuming a sandwich for light meal, and meat or fish with potatoes, pasta or vegetables for the main meal. Eating patterns differed on weekends, and those participants who consumed meat and eggs for breakfast instead of breakfast cereal and skipped light meal were more likely to have an unhealthier dietary pattern, a higher diastolic blood pressure, and increased serum ferritin. The application of data reduction techniques to simplify the multifaceted nature of dietary data is a useful approach to derive patterns, which might shed further light on the typical dietary patterns followed by populations.
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spelling pubmed-58727282018-03-30 Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey) Uzhova, Irina Woolhead, Clara Timon, Claire M. O’Sullivan, Aifric Brennan, Lorraine Peñalvo, José L. Gibney, Eileen R. Nutrients Article Nutritional data reduction methods are widely applied in nutrition epidemiology in order to classify individuals into meaningful groups with similar dietary patterns. To date, none of the existing studies have applied latent class analysis to examine dietary patterns which include meal types consumed throughout a day. We investigated main meal patterns followed on weekend and weekdays, and evaluated their associations with cardio-metabolic biomarkers. The analyses were performed within the NANS (National Adult Nutrition Survey) a cross-sectional national food consumption survey of 1500 nationally representative Irish adults. A total number of seven dietary patterns were identified using latent class analysis. The typical meal pattern followed by the majority of the population was characterized by consumption of cereal or toast for breakfast, skipping or consuming a sandwich for light meal, and meat or fish with potatoes, pasta or vegetables for the main meal. Eating patterns differed on weekends, and those participants who consumed meat and eggs for breakfast instead of breakfast cereal and skipped light meal were more likely to have an unhealthier dietary pattern, a higher diastolic blood pressure, and increased serum ferritin. The application of data reduction techniques to simplify the multifaceted nature of dietary data is a useful approach to derive patterns, which might shed further light on the typical dietary patterns followed by populations. MDPI 2018-03-06 /pmc/articles/PMC5872728/ /pubmed/29509665 http://dx.doi.org/10.3390/nu10030310 Text en © 2018 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
Uzhova, Irina
Woolhead, Clara
Timon, Claire M.
O’Sullivan, Aifric
Brennan, Lorraine
Peñalvo, José L.
Gibney, Eileen R.
Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title_full Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title_fullStr Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title_full_unstemmed Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title_short Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)
title_sort generic meal patterns identified by latent class analysis: insights from nans (national adult nutrition survey)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872728/
https://www.ncbi.nlm.nih.gov/pubmed/29509665
http://dx.doi.org/10.3390/nu10030310
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