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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doaj-23bba5f805084c6bb505d88157248a8b2020-11-25T00:59:56ZengMDPI AGNutrients2072-66432018-03-0110331010.3390/nu10030310nu10030310Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey)Irina Uzhova0Clara Woolhead1Claire M. Timon2Aifric O’Sullivan3Lorraine Brennan4José L. Peñalvo5Eileen R. Gibney6Fundación Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, SpainUCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Belfield, IrelandUCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Belfield, IrelandUCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Belfield, IrelandUCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Belfield, IrelandFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USAUCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, D04 V1W8 Belfield, IrelandNutritional 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.http://www.mdpi.com/2072-6643/10/3/310latent class analysisdietary patternsgeneric mealsbreakfastlight mealmain meal |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Irina Uzhova Clara Woolhead Claire M. Timon Aifric O’Sullivan Lorraine Brennan José L. Peñalvo Eileen R. Gibney |
spellingShingle |
Irina Uzhova Clara Woolhead Claire M. Timon Aifric O’Sullivan Lorraine Brennan José L. Peñalvo Eileen R. Gibney Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey) Nutrients latent class analysis dietary patterns generic meals breakfast light meal main meal |
author_facet |
Irina Uzhova Clara Woolhead Claire M. Timon Aifric O’Sullivan Lorraine Brennan José L. Peñalvo Eileen R. Gibney |
author_sort |
Irina Uzhova |
title |
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_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_sort |
generic meal patterns identified by latent class analysis: insights from nans (national adult nutrition survey) |
publisher |
MDPI AG |
series |
Nutrients |
issn |
2072-6643 |
publishDate |
2018-03-01 |
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. |
topic |
latent class analysis dietary patterns generic meals breakfast light meal main meal |
url |
http://www.mdpi.com/2072-6643/10/3/310 |
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