[Correlation between dietary patterns of pregnant women and weight changes in early pregnancy in Shenzhen from 2018 to 2021].

Xiao Wang, Jianming Zhang, Jing Du, Weichunbai Zhang, Yan Ma, Yi Yang, Shi Shen
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引用次数: 0

Abstract

Objective: To understand the dietary pattern characteristics of pregnant women in early pregnancy and analyze the association between these dietary patterns and weight changes in early pregnancy.

Methods: Using the birth cohort of the China Birth Cohort Study(CBCS), we analyzed the early pregnancy information and food frequency questionnaire data of 3, 540 subjects who met the inclusion and exclusion criteria at the Shenzhen sub-center from July 2018 to January 2021. Dietary patterns were extracted using factor analysis. Logistic regression models were used to analyze the associations between these dietary patterns and weight changes in early pregnancy. Finally, gestational age was divided into three groups using the tertile method, and stratified analyses were conducted for each group.

Results: The low weight change group comprised 914 individuals(25.82%), the moderate weight change group included 1442 individuals(40.73%), and the high weight change group consisted of 1184 individuals(33.45%). The result of the univariate analysis showed that there were statistically significant differences in the distribution of gestational age, age, ethnicity, educational level, occupation, pre-pregnancy body mass index(BMI), presence of early pregnancy reactions, and average annual household income over the past two years among the subjects with low, moderate, and high weight changes in early pregnancy. Factor analysis identified four major dietary patterns: the high-protein dietary pattern, the vegetarian dietary pattern, the legume-nut dietary pattern, and the snack-dairy dietary pattern, with a cumulative variance contribution rate of 42.45%. The result of the Logistic regression analysis showed that, after adjusting for gestational age, age, ethnicity, educational level, occupation, pre-pregnancy BMI, early pregnancy reactions(nausea, vomiting), and average annual household income over the past two years, the high-protein dietary pattern in T3 group(OR=0.635, 95%CI 0.427-0.946) and the legume-nut dietary pattern in T2 group(OR=0.675, 95%CI 0.467-0.975) were both significantly negatively correlated with the low weight change group. After stratification by gestational age, the high-protein dietary pattern in T3 group(OR=0.472, 95%CI 0.211-0.862) in the population at 11-13 weeks of gestation and the legume-nut dietary pattern in T2 group(OR=0.542, 95%CI 0.304-0.965) in the population at 9-11 weeks of gestation remained significantly negatively correlated with the low weight change group.

Conclusion: The high-protein dietary pattern and the legume-nut dietary pattern have a certain positive impact on the rational weight gain of pregnant women in early pregnancy.

[2018 - 2021年深圳孕妇饮食模式与妊娠早期体重变化的相关性]。
目的:了解妊娠早期孕妇的饮食模式特点,分析这些饮食模式与妊娠早期体重变化的关系。方法:采用中国出生队列研究(CBCS)的出生队列,分析2018年7月至2021年1月深圳分中心3540名符合纳入和排除标准的受试者的早期妊娠信息和饮食频率问卷数据。采用因子分析提取饮食模式。Logistic回归模型用于分析这些饮食模式与妊娠早期体重变化之间的关系。最后采用胎位数法将胎龄分为三组,对每组进行分层分析。结果:低体重变化组914人(25.82%),中等体重变化组1442人(40.73%),高体重变化组1184人(33.45%)。单因素分析结果显示,孕早期体重变化低、中、高受试者的胎龄、年龄、种族、受教育程度、职业、孕前体重指数(BMI)、是否存在早孕反应、近2年家庭平均年收入分布差异均有统计学意义。因子分析确定了4种主要的饮食模式:高蛋白饮食模式、素食饮食模式、豆类坚果饮食模式和零食乳制品饮食模式,累积方差贡献率为42.45%。Logistic回归分析结果显示,在调整胎龄、年龄、种族、文化程度、职业、孕前BMI、孕前反应(恶心、呕吐)、近2年家庭平均年收入等因素后,T3组高蛋白饮食模式(OR=0.635, 95%CI 0.427 ~ 0.946)和T2组豆类坚果饮食模式(OR=0.675, 95%CI 0.467 ~ 0.975)均与低体重变化组呈显著负相关。按胎龄分层后,11-13周妊娠期T3组高蛋白饮食模式(OR=0.472, 95%CI 0.211 ~ 0.862)和9-11周妊娠期T2组豆科坚果饮食模式(OR=0.542, 95%CI 0.304 ~ 0.965)与低体重变化组仍呈显著负相关。结论:高蛋白饮食模式和豆类坚果饮食模式对妊娠早期孕妇合理增重有一定的积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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