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Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

BACKGROUND: Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in diet...

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Autores principales: Schwedhelm, Carolina, Lipsky, Leah M., Shearrer, Grace E., Betts, Grace M., Liu, Aiyi, Iqbal, Khalid, Faith, Myles S., Nansel, Tonja R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306349/
https://www.ncbi.nlm.nih.gov/pubmed/34301273
http://dx.doi.org/10.1186/s12966-021-01172-1
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author Schwedhelm, Carolina
Lipsky, Leah M.
Shearrer, Grace E.
Betts, Grace M.
Liu, Aiyi
Iqbal, Khalid
Faith, Myles S.
Nansel, Tonja R.
author_facet Schwedhelm, Carolina
Lipsky, Leah M.
Shearrer, Grace E.
Betts, Grace M.
Liu, Aiyi
Iqbal, Khalid
Faith, Myles S.
Nansel, Tonja R.
author_sort Schwedhelm, Carolina
collection PubMed
description BACKGROUND: Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyzed at the meal level. This study investigated food networks across meals in pregnant women and explored differences by overall diet quality classification. METHODS: Women were asked to complete three 24-h dietary recalls throughout pregnancy (n = 365) within a prospective cohort study in the US. Pregnancy diet quality was evaluated using the Healthy Eating Index-2015 (HEI, range 0-100), calculated across pregnancy. Networks from 40 food groups were derived for women in the highest and lowest HEI tertiles at each participant-labeled meal (i.e., breakfast, lunch, dinner, snacks) using Gaussian graphical models. Network composition was qualitatively compared across meals and between HEI tertiles. RESULTS: In both HEI tertiles, breakfast food combinations comprised ready-to-eat cereals with milk, quick breads with sweets (e.g., pancakes with syrup), and bread with cheese and meat. Vegetables were consumed at breakfast among women in the high HEI tertile only. Combinations at lunch and dinner were more varied, including vegetables with oils (e.g., salads) in the high tertile and sugary foods with nuts, fruits, and milk in the low tertile at lunch; and cooked grains with fats (e.g., pasta with oil) in the high tertile and potatoes with vegetables and meat in the low tertile at dinner. Fried potatoes, sugar-sweetened beverages, and sandwiches were consumed together at all main meals in the low tertile only. Foods were consumed individually at snacks in both tertiles; the most commonly consumed food were fruits in the high HEI tertile and cakes & cookies in the low tertile. CONCLUSIONS: In this cohort of pregnant women, food network analysis indicated that food combinations differed by meal and between HEI tertiles. Meal-specific patterns that differed between diet quality tertiles suggest potential targets to improve food choices at meals; the impact of meal-based dietary modifications on intake of correlated foods and on overall diet quality should be investigated in simulations and intervention studies. TRIAL REGISTRATION: PEAS was registered with number NCT02217462 in Clinicaltrials.gov on August 13, 2014. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01172-1.
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spelling pubmed-83063492021-07-28 Using food network analysis to understand meal patterns in pregnant women with high and low diet quality Schwedhelm, Carolina Lipsky, Leah M. Shearrer, Grace E. Betts, Grace M. Liu, Aiyi Iqbal, Khalid Faith, Myles S. Nansel, Tonja R. Int J Behav Nutr Phys Act Research BACKGROUND: Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyzed at the meal level. This study investigated food networks across meals in pregnant women and explored differences by overall diet quality classification. METHODS: Women were asked to complete three 24-h dietary recalls throughout pregnancy (n = 365) within a prospective cohort study in the US. Pregnancy diet quality was evaluated using the Healthy Eating Index-2015 (HEI, range 0-100), calculated across pregnancy. Networks from 40 food groups were derived for women in the highest and lowest HEI tertiles at each participant-labeled meal (i.e., breakfast, lunch, dinner, snacks) using Gaussian graphical models. Network composition was qualitatively compared across meals and between HEI tertiles. RESULTS: In both HEI tertiles, breakfast food combinations comprised ready-to-eat cereals with milk, quick breads with sweets (e.g., pancakes with syrup), and bread with cheese and meat. Vegetables were consumed at breakfast among women in the high HEI tertile only. Combinations at lunch and dinner were more varied, including vegetables with oils (e.g., salads) in the high tertile and sugary foods with nuts, fruits, and milk in the low tertile at lunch; and cooked grains with fats (e.g., pasta with oil) in the high tertile and potatoes with vegetables and meat in the low tertile at dinner. Fried potatoes, sugar-sweetened beverages, and sandwiches were consumed together at all main meals in the low tertile only. Foods were consumed individually at snacks in both tertiles; the most commonly consumed food were fruits in the high HEI tertile and cakes & cookies in the low tertile. CONCLUSIONS: In this cohort of pregnant women, food network analysis indicated that food combinations differed by meal and between HEI tertiles. Meal-specific patterns that differed between diet quality tertiles suggest potential targets to improve food choices at meals; the impact of meal-based dietary modifications on intake of correlated foods and on overall diet quality should be investigated in simulations and intervention studies. TRIAL REGISTRATION: PEAS was registered with number NCT02217462 in Clinicaltrials.gov on August 13, 2014. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01172-1. BioMed Central 2021-07-23 /pmc/articles/PMC8306349/ /pubmed/34301273 http://dx.doi.org/10.1186/s12966-021-01172-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Schwedhelm, Carolina
Lipsky, Leah M.
Shearrer, Grace E.
Betts, Grace M.
Liu, Aiyi
Iqbal, Khalid
Faith, Myles S.
Nansel, Tonja R.
Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title_full Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title_fullStr Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title_full_unstemmed Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title_short Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
title_sort using food network analysis to understand meal patterns in pregnant women with high and low diet quality
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306349/
https://www.ncbi.nlm.nih.gov/pubmed/34301273
http://dx.doi.org/10.1186/s12966-021-01172-1
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