Literature DB >> 33802324

Association between Chinese Dietary Guidelines Compliance Index for Pregnant Women and Risks of Pregnancy Complications in the Tongji Maternal and Child Health Cohort.

Ye Ding1, Fangping Xu1, Chunrong Zhong2, Lishu Tong1, Fang Li1, Qian Li2, Renjuan Chen2, Xuezhen Zhou2, Xiating Li2, Wenli Cui2, Yu Zhang2, Li Huang2, Shangzhi Xu2, Chaoqun Liu2, Jiangyue Wu2, Xi Chen2, Qin Gao2, Nianhong Yang2, Zhixu Wang1.   

Abstract

BACKGROUND: 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.
METHODS: 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).
RESULTS: 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).
CONCLUSIONS: 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.

Entities:  

Keywords:  Chinese dietary guidelines for pregnant women; dietary quality; gestational diabetes mellitus; gestational hypertension; maternal diet

Year:  2021        PMID: 33802324      PMCID: PMC7999266          DOI: 10.3390/nu13030829

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


  34 in total

1.  Development of a New Nordic Diet score and its association with gestational weight gain and fetal growth - a study performed in the Norwegian Mother and Child Cohort Study (MoBa).

Authors:  Elisabet R Hillesund; Elling Bere; Margaretha Haugen; Nina C Øverby
Journal:  Public Health Nutr       Date:  2014-03-31       Impact factor: 4.022

2.  Development of the Healthy Eating Index-2005.

Authors:  Patricia M Guenther; Jill Reedy; Susan M Krebs-Smith
Journal:  J Am Diet Assoc       Date:  2008-11

3.  Quality of periconceptional dietary intake and maternal and neonatal outcomes.

Authors:  Lynn M Yee; Robert M Silver; David M Haas; Samuel Parry; Brian M Mercer; Jay Iams; Deborah Wing; Corette B Parker; Uma M Reddy; Ronald J Wapner; William A Grobman
Journal:  Am J Obstet Gynecol       Date:  2020-01-23       Impact factor: 8.661

Review 4.  Lifestyle interventions for the treatment of women with gestational diabetes.

Authors:  Julie Brown; Nisreen A Alwan; Jane West; Stephen Brown; Christopher Jd McKinlay; Diane Farrar; Caroline A Crowther
Journal:  Cochrane Database Syst Rev       Date:  2017-05-04

5.  The Mediterranean diet and fetal size parameters: the Generation R Study.

Authors:  Sarah Timmermans; Régine P Steegers-Theunissen; Marijana Vujkovic; Hanneke den Breeijen; Henk Russcher; Jan Lindemans; Johan Mackenbach; Albert Hofman; Emmanuel E Lesaffre; Vincent V Jaddoe; Eric A Steegers
Journal:  Br J Nutr       Date:  2012-02-21       Impact factor: 3.718

6.  [Evaluation on the dietary quality of pregnant women with an adjusted dietary balance index].

Authors:  Yanping Han; Li Li; Li Shu; Ting Yu; Qingli Bo; Anla Hu
Journal:  Wei Sheng Yan Jiu       Date:  2011-07

7.  Maternal dietary patterns in pregnancy and fetal growth in Japan: the Osaka Maternal and Child Health Study.

Authors:  Hitomi Okubo; Yoshihiro Miyake; Satoshi Sasaki; Keiko Tanaka; Kentaro Murakami; Yoshio Hirota; Hideharu Kanzaki; Mitsuyoshi Kitada; Yorihiko Horikoshi; Osamu Ishiko; Yuichiro Nakai; Junko Nishio; Seiichi Yamamasu; Jinsuke Yasuda; Seigo Kawai; Kazumi Yanagihara; Koji Wakuda; Tokio Kawashima; Katsuhiko Narimoto; Yoshihiko Iwasa; Katsuhiko Orino; Itsuo Tsunetoh; Junichi Yoshida; Junichi Iito; Takuzi Kaneko; Takao Kamiya; Hiroyuki Kuribayashi; Takeshi Taniguchi; Hideo Takemura; Yasuhiko Morimoto; Ichiro Matsunaga; Hajime Oda; Yukihiro Ohya
Journal:  Br J Nutr       Date:  2011-09-20       Impact factor: 3.718

8.  Diet quality index: capturing a multidimensional behavior.

Authors:  R E Patterson; P S Haines; B M Popkin
Journal:  J Am Diet Assoc       Date:  1994-01

9.  Maternal dietary pattern characterised by high protein and low carbohydrate intake in pregnancy is associated with a higher risk of gestational diabetes mellitus in Chinese women: a prospective cohort study.

Authors:  Xuezhen Zhou; Renjuan Chen; Chunrong Zhong; Jiangyue Wu; Xiating Li; Qian Li; Wenli Cui; Nianhua Yi; Mei Xiao; Heng Yin; Guoping Xiong; Weizhen Han; Liping Hao; Xuefeng Yang; Nianhong Yang
Journal:  Br J Nutr       Date:  2018-11       Impact factor: 3.718

10.  Update of the Healthy Eating Index: HEI-2015.

Authors:  Susan M Krebs-Smith; TusaRebecca E Pannucci; Amy F Subar; Sharon I Kirkpatrick; Jennifer L Lerman; Janet A Tooze; Magdalena M Wilson; Jill Reedy
Journal:  J Acad Nutr Diet       Date:  2018-09       Impact factor: 4.910

View more
  1 in total

1.  Adherence to Dietary Guidelines among Women with and without Gestational Diabetes: Evidence from the Growing up in New Zealand Study.

Authors:  Robyn L Lawrence; Clare R Wall; Frank H Bloomfield
Journal:  Nutrients       Date:  2022-05-21       Impact factor: 6.706

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.