Macronutrient Intake in Pregnancy and Child Cognitive and Behavioural Outcomes

Maternal macronutrient and energy intake during pregnancy: a systematic review and meta-analysis

BACKGROUND

Nutritional status during pregnancy can have a significant impact on infant and maternal health outcomes. To maintain maternal homeostasis and support fetal growth, adequate macronutrient and energy intake during pregnancy is essential. Therefore, this study sought to systematically review and meta-analyze macronutrient and energy intakes during pregnancy.

METHODS

A systematic review and meta-analysis was carried out based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The required data were collected from four databases including: Web of Sciences, ProQuest, Scopus, and PubMed, from 1 January 1980 to 30 May 2023, by using a combination of search terms (dietary pattern" OR "diet quality" OR "food habits" OR "nutrition surveys" OR "diet surveys" OR "food-frequency questionnaire" OR "diet record" OR "dietary recall") AND ( "pregnancy" OR "reproduction" OR "maternal health" OR "neonatal outcomes") among interventional and observational studies. Excel and STATA version 11 were used for data analysis.

RESULTS

Among 7081 published articles, 54 studies were included in the review. Most of the 33 (61%) studies were cohort studies and a total of 135,566 pregnant women were included. The overall average of energy, carbohydrate, fat, and protein intake was 2036.10 kcal/day, 262.17 gr/day, 74.17 gr/day, and 78.21 gr/day, respectively. Also, energy intake during pregnancy was higher in American (2228.31 kcal/day, CI95%: 2135.06-2325.63) and Eastern Mediterranean regions (2226.70 kcal/day, CI95%: 2077.23-2386.92) than other regions (P < 0.001). Energy intake was higher in the third trimester than others (2115.64 kcal/day, CI95%: 1974.15-2267.27). Furthermore, based on the findings, there was a significant difference between energy intake in different World Health Organization (WHO) regions (P < 0.05).

CONCLUSIONS

According to the results of meta-analysis, the average total energy was below than average total energy required during pregnancy. More efforts are needed to encourage women to adopt healthy eating habits during pregnancy to support healthy fetal and infant development.

Maternal Diet Quality during Pregnancy Is Associated with Neonatal Brain White Matter Development

Maternal diet and nutrient intake are important for fetal growth and development. In this study, we aim to evaluate whether there are associations between maternal diet quality and the offspring's brain white matter development. Healthy pregnant women's (N = 44) nutrition intake was assessed by the Healthy Eating Index-2015 (HEI-2015) during the first, second, and third trimesters, respectively. Correlations between MRI diffusion tensor imaging measured fractional anisotropy (FA) of the neonatal brain and the HEI-2015 scores were evaluated using voxel-wise analysis with appropriate multiple comparisons correction and post hoc analysis based on regions of interest. Significant correlations were found between sodium scores at the first trimester of pregnancy and mean neonatal FA values in parietal white matter (R = 0.39, p = 0.01), anterior corona radiata (R = 0.43, p = 0.006), posterior limb of internal capsule (R = 0.53, p < 0.001), external capsule (R = 0.44, p = 0.004), and temporal white matter (R = 0.50, p = 0.001) of the left hemisphere. No other correlations were identified. In conclusion, the relationships between the maternal sodium intake score and the neonatal white matter microstructural development indicate sodium intake patterns better aligned with the Dietary Guidelines for Americans during early pregnancy are associated with greater white matter development in the offspring's brain.

Ecosystems Determinants of Nutritional Adequacy Among the Indian Preschool Children

Given the specified importance of dietary diversity in reducing the burden of malnutrition, our study explores the reasons for the high rate of malnutrition in India through assessment of a comprehensive range of ecosystem factors leading to poor nutrients intake. The study uses the Dietary Diversity Score (DDS) to investigate preschoolers, through differences in wealth, gender, and health. Demographic and Health Survey (2015-16) data of 1,40,470 preschool children between the ages of 2-5 years, is investigated using the Bronfenbrenner's Ecological Systems Theory. Multiple linear regression models developed to investigate the association between variables, depict the importance of vaccination (p-value < 0.01, 95% CI 0.02-0.06) as positively impacting the outcome measures. Interestingly, overall wealth index does not impact the dietary diversity of the child. The lower wealth index, however, significantly impacts the DDS of the female child as compared to the male child (p-value < 0.1, 95% CI - 0.03 to 0.02), indicating that the lower wealth index plays a role in developing the non-egalitarian gender attitudes for female children. Policy implications involve adapting biofortified foods with higher density of nutrients with major focus on female children to minimize the gender gap and leveraging the digital technology such as telemedicine, and advanced techniques such as artificial intelligence, machine learning, and big data to offer real-time surveillance to address the healthcare needs in the ongoing immunization programs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41745-022-00339-4.