Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment

The health effects of diet are long term and persistent. Few cohort studies have investigated the influence of maternal dietary patterns during different gestational periods on offspring’s health outcomes. This study investigated the associations between maternal dietary patterns in the mid- and lat...

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Main Authors: Siyuan Lv, Rui Qin, Yangqian Jiang, Hong Lv, Qun Lu, Shiyao Tao, Lei Huang, Cong Liu, Xin Xu, Qingru Wang, Mei Li, Zhi Li, Ye Ding, Ci Song, Tao Jiang, Hongxia Ma, Guangfu Jin, Yankai Xia, Zhixu Wang, Shanshan Geng, Jiangbo Du, Yuan Lin, Zhibin Hu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/14/4/730
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author Siyuan Lv
Rui Qin
Yangqian Jiang
Hong Lv
Qun Lu
Shiyao Tao
Lei Huang
Cong Liu
Xin Xu
Qingru Wang
Mei Li
Zhi Li
Ye Ding
Ci Song
Tao Jiang
Hongxia Ma
Guangfu Jin
Yankai Xia
Zhixu Wang
Shanshan Geng
Jiangbo Du
Yuan Lin
Zhibin Hu
author_facet Siyuan Lv
Rui Qin
Yangqian Jiang
Hong Lv
Qun Lu
Shiyao Tao
Lei Huang
Cong Liu
Xin Xu
Qingru Wang
Mei Li
Zhi Li
Ye Ding
Ci Song
Tao Jiang
Hongxia Ma
Guangfu Jin
Yankai Xia
Zhixu Wang
Shanshan Geng
Jiangbo Du
Yuan Lin
Zhibin Hu
author_sort Siyuan Lv
collection DOAJ
description The health effects of diet are long term and persistent. Few cohort studies have investigated the influence of maternal dietary patterns during different gestational periods on offspring’s health outcomes. This study investigated the associations between maternal dietary patterns in the mid- and late-gestation and infant’s neurodevelopment at 1 year of age in the Jiangsu Birth Cohort (JBC) Study. A total of 1178 mother–child pairs were available for analysis. A semiquantitative food frequency questionnaire (FFQ) was used to investigate dietary intake at 22–26 and 30–34 gestational weeks (GWs). Neurodevelopment of children aged 1 year old was assessed using Bayley-Ⅲ Screening Test. Principal component analysis (PCA) and Poisson regression were used to extract dietary patterns and to investigate the association between dietary patterns and infant neurodevelopment. After adjusting for potential confounders, the maternal ‘Aquatic products, Fresh vegetables and Homonemeae’ pattern in the second trimester was associated with a lower risk of being non-competent in cognitive and gross motor development, respectively (cognition: aRR = 0.84; 95% CI 0.74–0.94; gross motor: aRR = 0.80; 95% CI 0.71–0.91), and the similar pattern, ‘Aquatic products and Homonemeae’, in the third trimester also showed significant association with decreased risk of failing age-appreciate cognitive and receptive communication development (cognition: aRR = 0.89; 95% CI 0.80–0.98; receptive communication: aRR = 0.91; 95% CI 0.84–0.99). Notably, adherence to the dietary pattern with relatively high aquatic and homonemeae products in both trimesters demonstrated remarkable protective effects on child neurodevelopment with the risk of being non-competent in cognitive and gross motor development decreasing by 59% (95% CI 0.21–0.79) and 63% (95% CI 0.18–0.77), respectively. Our findings suggested that adherence to the ‘Aquatic products and Homonemeae’ dietary pattern during pregnancy may have optimal effects on offspring’s neurodevelopment.
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spelling doaj.art-1ff94be719c145e4b014489f1b23ddb32023-11-23T21:27:31ZengMDPI AGNutrients2072-66432022-02-0114473010.3390/nu14040730Association of Maternal Dietary Patterns during Gestation and Offspring NeurodevelopmentSiyuan Lv0Rui Qin1Yangqian Jiang2Hong Lv3Qun Lu4Shiyao Tao5Lei Huang6Cong Liu7Xin Xu8Qingru Wang9Mei Li10Zhi Li11Ye Ding12Ci Song13Tao Jiang14Hongxia Ma15Guangfu Jin16Yankai Xia17Zhixu Wang18Shanshan Geng19Jiangbo Du20Yuan Lin21Zhibin Hu22State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Toxicology and Nutritional Science, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, ChinaThe health effects of diet are long term and persistent. Few cohort studies have investigated the influence of maternal dietary patterns during different gestational periods on offspring’s health outcomes. This study investigated the associations between maternal dietary patterns in the mid- and late-gestation and infant’s neurodevelopment at 1 year of age in the Jiangsu Birth Cohort (JBC) Study. A total of 1178 mother–child pairs were available for analysis. A semiquantitative food frequency questionnaire (FFQ) was used to investigate dietary intake at 22–26 and 30–34 gestational weeks (GWs). Neurodevelopment of children aged 1 year old was assessed using Bayley-Ⅲ Screening Test. Principal component analysis (PCA) and Poisson regression were used to extract dietary patterns and to investigate the association between dietary patterns and infant neurodevelopment. After adjusting for potential confounders, the maternal ‘Aquatic products, Fresh vegetables and Homonemeae’ pattern in the second trimester was associated with a lower risk of being non-competent in cognitive and gross motor development, respectively (cognition: aRR = 0.84; 95% CI 0.74–0.94; gross motor: aRR = 0.80; 95% CI 0.71–0.91), and the similar pattern, ‘Aquatic products and Homonemeae’, in the third trimester also showed significant association with decreased risk of failing age-appreciate cognitive and receptive communication development (cognition: aRR = 0.89; 95% CI 0.80–0.98; receptive communication: aRR = 0.91; 95% CI 0.84–0.99). Notably, adherence to the dietary pattern with relatively high aquatic and homonemeae products in both trimesters demonstrated remarkable protective effects on child neurodevelopment with the risk of being non-competent in cognitive and gross motor development decreasing by 59% (95% CI 0.21–0.79) and 63% (95% CI 0.18–0.77), respectively. Our findings suggested that adherence to the ‘Aquatic products and Homonemeae’ dietary pattern during pregnancy may have optimal effects on offspring’s neurodevelopment.https://www.mdpi.com/2072-6643/14/4/730birth cohortprospective studymaternal dietary patternneurodevelopment
spellingShingle Siyuan Lv
Rui Qin
Yangqian Jiang
Hong Lv
Qun Lu
Shiyao Tao
Lei Huang
Cong Liu
Xin Xu
Qingru Wang
Mei Li
Zhi Li
Ye Ding
Ci Song
Tao Jiang
Hongxia Ma
Guangfu Jin
Yankai Xia
Zhixu Wang
Shanshan Geng
Jiangbo Du
Yuan Lin
Zhibin Hu
Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
Nutrients
birth cohort
prospective study
maternal dietary pattern
neurodevelopment
title Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
title_full Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
title_fullStr Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
title_full_unstemmed Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
title_short Association of Maternal Dietary Patterns during Gestation and Offspring Neurodevelopment
title_sort association of maternal dietary patterns during gestation and offspring neurodevelopment
topic birth cohort
prospective study
maternal dietary pattern
neurodevelopment
url https://www.mdpi.com/2072-6643/14/4/730
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