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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
- Source :
- Nutrients, Volume 13, Issue 3, Nutrients, Vol 13, Iss 829, p 829 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
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%<br />specificity: 61%<br />area under the ROC curve, AUC = 0.743), and the optimal CDGCI-PW cut-off score for GDM was ≥75.5 (sensitivity 43%<br />specificity: 81%<br />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.
- Subjects :
- 0301 basic medicine
Gestational hypertension
Nutrition Policy
Cohort Studies
Eating
0302 clinical medicine
dietary quality
Pregnancy
Reference Values
maternal diet
Prospective Studies
030212 general & internal medicine
Prospective cohort study
Nutrition and Dietetics
Obstetrics
Chinese dietary guidelines for pregnant women
gestational diabetes mellitus
Gestational diabetes
Pregnancy Trimester, Second
Cohort
Regression Analysis
Female
Guideline Adherence
Diet, Healthy
lcsh:Nutrition. Foods and food supply
Cohort study
Adult
China
medicine.medical_specialty
lcsh:TX341-641
Lower risk
Diet Surveys
Risk Assessment
Sensitivity and Specificity
Article
03 medical and health sciences
medicine
gestational hypertension
Humans
030109 nutrition & dietetics
business.industry
Reproducibility of Results
Hypertension, Pregnancy-Induced
Maternal Nutritional Physiological Phenomena
Odds ratio
medicine.disease
Pregnancy Complications
Diabetes, Gestational
ROC Curve
business
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 20726643
- Database :
- OpenAIRE
- Journal :
- Nutrients
- Accession number :
- edsair.doi.dedup.....a728acdcf2e728f428111ab4f0687c8b
- Full Text :
- https://doi.org/10.3390/nu13030829