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Association between Chinese Dietary Guidelines Compliance Index for Pregnant Women and Risks of Pregnancy Complications in the Tongji Maternal and Child Health Cohort
Compliance with dietary guidelines among pregnant women can positively influence not only their own health but also the health of their babies. Measuring the compliance requires professional skills in nutrition and dietary counseling. In China, few simple and effective techniques assess dietary qual...
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Published in: | Nutrients 2021-03, Vol.13 (3), p.829 |
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creator | Ding, Ye Xu, Fangping Zhong, Chunrong Tong, Lishu Li, Fang Li, Qian Chen, Renjuan Zhou, Xuezhen Li, Xiating Cui, Wenli Zhang, Yu Huang, Li Xu, Shangzhi Liu, Chaoqun Wu, Jiangyue Chen, Xi Gao, Qin Yang, Nianhong Wang, Zhixu |
description | Compliance with dietary guidelines among pregnant women can positively influence not only their own health but also the health of their babies. Measuring the compliance requires professional skills in nutrition and dietary counseling. In China, few simple and effective techniques assess dietary quality among pregnant women, especially in rural areas. We aimed to establish a new simple and effective assessment technique, the "Chinese Dietary Guidelines Compliance Index for Pregnant Women (CDGCI-PW)" and assess the association between maternal dietary compliance and risks of pregnancy complications.
The CDGCI-PW consists of 13 main components which were based on the 2016 edition of the Chinese dietary guidelines for pregnant women. Each component was assigned a different score range, and the overall score ranged from 0 to 100 points. The Tongji Maternal and Child Health Cohort study (from September 2013 to May 2016) was a prospective cohort study designed to examine maternal dietary and lifestyle effects on the health of pregnant women and their offspring. The maternal diet during the second trimester was compared with the corresponding recommended intake of the Chinese balanced dietary pagoda for pregnant women to verify their compliance with dietary guidelines. The association between maternal dietary quality and risks of pregnancy complications was estimated by regression analysis. Receiver operating characteristic (ROC) curves were constructed to identify the optimal cut-off values of CDGCI-PW for gestational hypertension and gestational diabetes mellitus (GDM).
Among the 2708 pregnant women, 1489 were eventually followed up. The mean CDGCI-PW score was 74.1 (standard deviation (SD) 7.5) in the second trimester. The majority of foods showed the following trend: the higher the CDGCI-PW score, the higher the proportion of pregnant women who reported food intake within the recommended range. Moreover, a higher maternal CDGCI-PW score was significantly associated with lower risks of gestational hypertension [odds ratio (OR) (95% confidence interval [(CI): 0.30 (0.20, 0.37)] and GDM [OR (95% CI): 0.38 (0.31, 0.48)]. The optimal CDGCI-PW cut-off value for gestational hypertension was ≥68.5 (sensitivity 82%; specificity: 61%; area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%; specificity: 81%; area under the ROC curve, AUC = 0.714).
The CDGCI-PW is a simple and useful technique that assesses matern |
doi_str_mv | 10.3390/nu13030829 |
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The CDGCI-PW consists of 13 main components which were based on the 2016 edition of the Chinese dietary guidelines for pregnant women. Each component was assigned a different score range, and the overall score ranged from 0 to 100 points. The Tongji Maternal and Child Health Cohort study (from September 2013 to May 2016) was a prospective cohort study designed to examine maternal dietary and lifestyle effects on the health of pregnant women and their offspring. The maternal diet during the second trimester was compared with the corresponding recommended intake of the Chinese balanced dietary pagoda for pregnant women to verify their compliance with dietary guidelines. The association between maternal dietary quality and risks of pregnancy complications was estimated by regression analysis. Receiver operating characteristic (ROC) curves were constructed to identify the optimal cut-off values of CDGCI-PW for gestational hypertension and gestational diabetes mellitus (GDM).
Among the 2708 pregnant women, 1489 were eventually followed up. The mean CDGCI-PW score was 74.1 (standard deviation (SD) 7.5) in the second trimester. The majority of foods showed the following trend: the higher the CDGCI-PW score, the higher the proportion of pregnant women who reported food intake within the recommended range. Moreover, a higher maternal CDGCI-PW score was significantly associated with lower risks of gestational hypertension [odds ratio (OR) (95% confidence interval [(CI): 0.30 (0.20, 0.37)] and GDM [OR (95% CI): 0.38 (0.31, 0.48)]. The optimal CDGCI-PW cut-off value for gestational hypertension was ≥68.5 (sensitivity 82%; specificity: 61%; area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%; specificity: 81%; area under the ROC curve, AUC = 0.714).
The CDGCI-PW is a simple and useful technique that assesses maternal diet quality during pregnancy, while adherence to the CDGCI-PW is associated with a lower risk of gestational hypertension and GDM.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu13030829</identifier><identifier>PMID: 33802324</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Cereals ; Childrens health ; Chinese dietary guidelines for pregnant women ; Compliance ; Complications ; Confidence intervals ; Diabetes mellitus ; Diet ; Dietary guidelines ; Dietary intake ; dietary quality ; Eating behavior ; Food ; Food intake ; gestational diabetes mellitus ; gestational hypertension ; Guidelines ; Hypertension ; Livestock ; Maternal & child health ; maternal diet ; Maternal mortality ; Milk ; Nutrition ; Nutrition research ; Offspring ; Population ; Poultry ; Pregnancy ; Pregnancy complications ; Prenatal care ; Quality assessment ; Questionnaires ; Regression analysis ; Rural areas ; Salt ; Sensitivity ; Shellfish ; Soybeans ; Statistical analysis ; Womens health</subject><ispartof>Nutrients, 2021-03, Vol.13 (3), p.829</ispartof><rights>2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-a77309a18cb7604e1a9bfcabae00af686fb3291184baf34eec6b0645ac845fd23</citedby><cites>FETCH-LOGICAL-c472t-a77309a18cb7604e1a9bfcabae00af686fb3291184baf34eec6b0645ac845fd23</cites><orcidid>0000-0002-7732-3073 ; 0000-0002-1633-6313</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2562157338/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2562157338?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33802324$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Ye</creatorcontrib><creatorcontrib>Xu, Fangping</creatorcontrib><creatorcontrib>Zhong, Chunrong</creatorcontrib><creatorcontrib>Tong, Lishu</creatorcontrib><creatorcontrib>Li, Fang</creatorcontrib><creatorcontrib>Li, Qian</creatorcontrib><creatorcontrib>Chen, Renjuan</creatorcontrib><creatorcontrib>Zhou, Xuezhen</creatorcontrib><creatorcontrib>Li, Xiating</creatorcontrib><creatorcontrib>Cui, Wenli</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Huang, Li</creatorcontrib><creatorcontrib>Xu, Shangzhi</creatorcontrib><creatorcontrib>Liu, Chaoqun</creatorcontrib><creatorcontrib>Wu, Jiangyue</creatorcontrib><creatorcontrib>Chen, Xi</creatorcontrib><creatorcontrib>Gao, Qin</creatorcontrib><creatorcontrib>Yang, Nianhong</creatorcontrib><creatorcontrib>Wang, Zhixu</creatorcontrib><title>Association between Chinese Dietary Guidelines Compliance Index for Pregnant Women and Risks of Pregnancy Complications in the Tongji Maternal and Child Health Cohort</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Compliance with dietary guidelines among pregnant women can positively influence not only their own health but also the health of their babies. Measuring the compliance requires professional skills in nutrition and dietary counseling. In China, few simple and effective techniques assess dietary quality among pregnant women, especially in rural areas. We aimed to establish a new simple and effective assessment technique, the "Chinese Dietary Guidelines Compliance Index for Pregnant Women (CDGCI-PW)" and assess the association between maternal dietary compliance and risks of pregnancy complications.
The CDGCI-PW consists of 13 main components which were based on the 2016 edition of the Chinese dietary guidelines for pregnant women. Each component was assigned a different score range, and the overall score ranged from 0 to 100 points. The Tongji Maternal and Child Health Cohort study (from September 2013 to May 2016) was a prospective cohort study designed to examine maternal dietary and lifestyle effects on the health of pregnant women and their offspring. The maternal diet during the second trimester was compared with the corresponding recommended intake of the Chinese balanced dietary pagoda for pregnant women to verify their compliance with dietary guidelines. The association between maternal dietary quality and risks of pregnancy complications was estimated by regression analysis. Receiver operating characteristic (ROC) curves were constructed to identify the optimal cut-off values of CDGCI-PW for gestational hypertension and gestational diabetes mellitus (GDM).
Among the 2708 pregnant women, 1489 were eventually followed up. The mean CDGCI-PW score was 74.1 (standard deviation (SD) 7.5) in the second trimester. The majority of foods showed the following trend: the higher the CDGCI-PW score, the higher the proportion of pregnant women who reported food intake within the recommended range. Moreover, a higher maternal CDGCI-PW score was significantly associated with lower risks of gestational hypertension [odds ratio (OR) (95% confidence interval [(CI): 0.30 (0.20, 0.37)] and GDM [OR (95% CI): 0.38 (0.31, 0.48)]. The optimal CDGCI-PW cut-off value for gestational hypertension was ≥68.5 (sensitivity 82%; specificity: 61%; area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%; specificity: 81%; area under the ROC curve, AUC = 0.714).
The CDGCI-PW is a simple and useful technique that assesses maternal diet quality during pregnancy, while adherence to the CDGCI-PW is associated with a lower risk of gestational hypertension and GDM.</description><subject>Cereals</subject><subject>Childrens health</subject><subject>Chinese dietary guidelines for pregnant women</subject><subject>Compliance</subject><subject>Complications</subject><subject>Confidence intervals</subject><subject>Diabetes mellitus</subject><subject>Diet</subject><subject>Dietary guidelines</subject><subject>Dietary intake</subject><subject>dietary quality</subject><subject>Eating behavior</subject><subject>Food</subject><subject>Food intake</subject><subject>gestational diabetes mellitus</subject><subject>gestational hypertension</subject><subject>Guidelines</subject><subject>Hypertension</subject><subject>Livestock</subject><subject>Maternal & child health</subject><subject>maternal diet</subject><subject>Maternal mortality</subject><subject>Milk</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Offspring</subject><subject>Population</subject><subject>Poultry</subject><subject>Pregnancy</subject><subject>Pregnancy complications</subject><subject>Prenatal care</subject><subject>Quality assessment</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Rural areas</subject><subject>Salt</subject><subject>Sensitivity</subject><subject>Shellfish</subject><subject>Soybeans</subject><subject>Statistical analysis</subject><subject>Womens 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Lishu</creator><creator>Li, Fang</creator><creator>Li, Qian</creator><creator>Chen, Renjuan</creator><creator>Zhou, Xuezhen</creator><creator>Li, Xiating</creator><creator>Cui, Wenli</creator><creator>Zhang, Yu</creator><creator>Huang, Li</creator><creator>Xu, Shangzhi</creator><creator>Liu, Chaoqun</creator><creator>Wu, Jiangyue</creator><creator>Chen, Xi</creator><creator>Gao, Qin</creator><creator>Yang, Nianhong</creator><creator>Wang, Zhixu</creator><general>MDPI 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Chunrong ; Tong, Lishu ; Li, Fang ; Li, Qian ; Chen, Renjuan ; Zhou, Xuezhen ; Li, Xiating ; Cui, Wenli ; Zhang, Yu ; Huang, Li ; Xu, Shangzhi ; Liu, Chaoqun ; Wu, Jiangyue ; Chen, Xi ; Gao, Qin ; Yang, Nianhong ; Wang, Zhixu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-a77309a18cb7604e1a9bfcabae00af686fb3291184baf34eec6b0645ac845fd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cereals</topic><topic>Childrens health</topic><topic>Chinese dietary guidelines for pregnant women</topic><topic>Compliance</topic><topic>Complications</topic><topic>Confidence intervals</topic><topic>Diabetes mellitus</topic><topic>Diet</topic><topic>Dietary guidelines</topic><topic>Dietary intake</topic><topic>dietary quality</topic><topic>Eating behavior</topic><topic>Food</topic><topic>Food intake</topic><topic>gestational diabetes mellitus</topic><topic>gestational hypertension</topic><topic>Guidelines</topic><topic>Hypertension</topic><topic>Livestock</topic><topic>Maternal & child health</topic><topic>maternal diet</topic><topic>Maternal mortality</topic><topic>Milk</topic><topic>Nutrition</topic><topic>Nutrition research</topic><topic>Offspring</topic><topic>Population</topic><topic>Poultry</topic><topic>Pregnancy</topic><topic>Pregnancy complications</topic><topic>Prenatal care</topic><topic>Quality assessment</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Rural areas</topic><topic>Salt</topic><topic>Sensitivity</topic><topic>Shellfish</topic><topic>Soybeans</topic><topic>Statistical analysis</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Ye</creatorcontrib><creatorcontrib>Xu, Fangping</creatorcontrib><creatorcontrib>Zhong, Chunrong</creatorcontrib><creatorcontrib>Tong, Lishu</creatorcontrib><creatorcontrib>Li, 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UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Ye</au><au>Xu, Fangping</au><au>Zhong, Chunrong</au><au>Tong, Lishu</au><au>Li, Fang</au><au>Li, Qian</au><au>Chen, Renjuan</au><au>Zhou, Xuezhen</au><au>Li, Xiating</au><au>Cui, Wenli</au><au>Zhang, Yu</au><au>Huang, Li</au><au>Xu, Shangzhi</au><au>Liu, Chaoqun</au><au>Wu, Jiangyue</au><au>Chen, Xi</au><au>Gao, Qin</au><au>Yang, Nianhong</au><au>Wang, Zhixu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between Chinese Dietary Guidelines Compliance Index for Pregnant Women and Risks of Pregnancy Complications in the Tongji Maternal and Child Health Cohort</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2021-03-03</date><risdate>2021</risdate><volume>13</volume><issue>3</issue><spage>829</spage><pages>829-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Compliance with dietary guidelines among pregnant women can positively influence not only their own health but also the health of their babies. Measuring the compliance requires professional skills in nutrition and dietary counseling. In China, few simple and effective techniques assess dietary quality among pregnant women, especially in rural areas. We aimed to establish a new simple and effective assessment technique, the "Chinese Dietary Guidelines Compliance Index for Pregnant Women (CDGCI-PW)" and assess the association between maternal dietary compliance and risks of pregnancy complications.
The CDGCI-PW consists of 13 main components which were based on the 2016 edition of the Chinese dietary guidelines for pregnant women. Each component was assigned a different score range, and the overall score ranged from 0 to 100 points. The Tongji Maternal and Child Health Cohort study (from September 2013 to May 2016) was a prospective cohort study designed to examine maternal dietary and lifestyle effects on the health of pregnant women and their offspring. The maternal diet during the second trimester was compared with the corresponding recommended intake of the Chinese balanced dietary pagoda for pregnant women to verify their compliance with dietary guidelines. The association between maternal dietary quality and risks of pregnancy complications was estimated by regression analysis. Receiver operating characteristic (ROC) curves were constructed to identify the optimal cut-off values of CDGCI-PW for gestational hypertension and gestational diabetes mellitus (GDM).
Among the 2708 pregnant women, 1489 were eventually followed up. The mean CDGCI-PW score was 74.1 (standard deviation (SD) 7.5) in the second trimester. The majority of foods showed the following trend: the higher the CDGCI-PW score, the higher the proportion of pregnant women who reported food intake within the recommended range. Moreover, a higher maternal CDGCI-PW score was significantly associated with lower risks of gestational hypertension [odds ratio (OR) (95% confidence interval [(CI): 0.30 (0.20, 0.37)] and GDM [OR (95% CI): 0.38 (0.31, 0.48)]. The optimal CDGCI-PW cut-off value for gestational hypertension was ≥68.5 (sensitivity 82%; specificity: 61%; area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%; specificity: 81%; area under the ROC curve, AUC = 0.714).
The CDGCI-PW is a simple and useful technique that assesses maternal diet quality during pregnancy, while adherence to the CDGCI-PW is associated with a lower risk of gestational hypertension and GDM.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33802324</pmid><doi>10.3390/nu13030829</doi><orcidid>https://orcid.org/0000-0002-7732-3073</orcidid><orcidid>https://orcid.org/0000-0002-1633-6313</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Cereals Childrens health Chinese dietary guidelines for pregnant women Compliance Complications Confidence intervals Diabetes mellitus Diet Dietary guidelines Dietary intake dietary quality Eating behavior Food Food intake gestational diabetes mellitus gestational hypertension Guidelines Hypertension Livestock Maternal & child health maternal diet Maternal mortality Milk Nutrition Nutrition research Offspring Population Poultry Pregnancy Pregnancy complications Prenatal care Quality assessment Questionnaires Regression analysis Rural areas Salt Sensitivity Shellfish Soybeans Statistical analysis Womens health |
title | Association between Chinese Dietary Guidelines Compliance Index for Pregnant Women and Risks of Pregnancy Complications in the Tongji Maternal and Child Health Cohort |
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