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The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort

The reported associations of maternal dietary patterns during pregnancy with gestational weight gain are inconsistent, especially among the less studied Asian Chinese populations. In a prospective pre-birth cohort study conducted in northern China, we determined the associations between maternal die...

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Autores principales: Hu, Jiajin, Gao, Ming, Ma, Yanan, Wan, Ningyu, Liu, Yilin, Liu, Borui, Li, Lin, Yu, Yang, Liu, Yang, Liu, Bohan, Wen, Deliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229543/
https://www.ncbi.nlm.nih.gov/pubmed/35745281
http://dx.doi.org/10.3390/nu14122551
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author Hu, Jiajin
Gao, Ming
Ma, Yanan
Wan, Ningyu
Liu, Yilin
Liu, Borui
Li, Lin
Yu, Yang
Liu, Yang
Liu, Bohan
Wen, Deliang
author_facet Hu, Jiajin
Gao, Ming
Ma, Yanan
Wan, Ningyu
Liu, Yilin
Liu, Borui
Li, Lin
Yu, Yang
Liu, Yang
Liu, Bohan
Wen, Deliang
author_sort Hu, Jiajin
collection PubMed
description The reported associations of maternal dietary patterns during pregnancy with gestational weight gain are inconsistent, especially among the less studied Asian Chinese populations. In a prospective pre-birth cohort study conducted in northern China, we determined the associations between maternal dietary patterns and the probability of excess gestational weight gain (EGWG) among 1026 pregnant women. We used 3-day food diaries to assess maternal diet and performed principal component analysis to identify dietary patterns. Maternal adherence to a traditional pattern, which was characterized by a higher intake of tubers, vegetables, fruits, red meat, and rice, was associated with a higher probability of EGWG (quartile 3 vs. quartile 1, odds ratio [OR] = 1.62, 95% confidence interval [CI] = 1.10−2.38). This risk association was more pronounced among women who were overweight/obese before pregnancy (quartile 4 vs. quartile 1, OR = 5.17, 95% CI = 1.45–18.46; p for interaction < 0.01). Maternal adherence to a high protein pattern, which was characterized by a higher intake of fried foods, beans and bean products, dairy products, and fruits, was associated with a lower risk of EGWG (quartile 3 vs. quartile 1, OR = 0.56, 95% CI, 0.39−0.81). The protective association was more pronounced among non-overweight/obese women (p for interaction < 0.01). These findings may help to develop interventions and better define target populations for EGWG prevention.
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spelling pubmed-92295432022-06-25 The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort Hu, Jiajin Gao, Ming Ma, Yanan Wan, Ningyu Liu, Yilin Liu, Borui Li, Lin Yu, Yang Liu, Yang Liu, Bohan Wen, Deliang Nutrients Article The reported associations of maternal dietary patterns during pregnancy with gestational weight gain are inconsistent, especially among the less studied Asian Chinese populations. In a prospective pre-birth cohort study conducted in northern China, we determined the associations between maternal dietary patterns and the probability of excess gestational weight gain (EGWG) among 1026 pregnant women. We used 3-day food diaries to assess maternal diet and performed principal component analysis to identify dietary patterns. Maternal adherence to a traditional pattern, which was characterized by a higher intake of tubers, vegetables, fruits, red meat, and rice, was associated with a higher probability of EGWG (quartile 3 vs. quartile 1, odds ratio [OR] = 1.62, 95% confidence interval [CI] = 1.10−2.38). This risk association was more pronounced among women who were overweight/obese before pregnancy (quartile 4 vs. quartile 1, OR = 5.17, 95% CI = 1.45–18.46; p for interaction < 0.01). Maternal adherence to a high protein pattern, which was characterized by a higher intake of fried foods, beans and bean products, dairy products, and fruits, was associated with a lower risk of EGWG (quartile 3 vs. quartile 1, OR = 0.56, 95% CI, 0.39−0.81). The protective association was more pronounced among non-overweight/obese women (p for interaction < 0.01). These findings may help to develop interventions and better define target populations for EGWG prevention. MDPI 2022-06-20 /pmc/articles/PMC9229543/ /pubmed/35745281 http://dx.doi.org/10.3390/nu14122551 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Jiajin
Gao, Ming
Ma, Yanan
Wan, Ningyu
Liu, Yilin
Liu, Borui
Li, Lin
Yu, Yang
Liu, Yang
Liu, Bohan
Wen, Deliang
The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title_full The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title_fullStr The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title_full_unstemmed The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title_short The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The “Born in Shenyang” Cohort
title_sort association between dietary patterns and pre-pregnancy bmi with gestational weight gain: the “born in shenyang” cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229543/
https://www.ncbi.nlm.nih.gov/pubmed/35745281
http://dx.doi.org/10.3390/nu14122551
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