Maternal Dietary Patterns Research Articles

Maternal dietary quality, inflammatory potential and childhood adiposity: an individual participant data pooled analysis of seven European cohorts in the ALPHABET consortium

BackgroundMounting evidence suggests that maternal diet influences pregnancy and birth outcomes, but its contribution to the global epidemic of childhood obesity has not as yet been definitively characterized. We investigated whether maternal whole diet quality and inflammatory potential influence childhood adiposity.MethodsWe harmonized and pooled individual participant data from 16,295 mother-child pairs in seven European birth cohorts. Maternal pre-, early-, late-, and whole-pregnancy (any time during pregnancy) dietary quality and inflammatory potential assessed with the Dietary Approaches to Stop Hypertension (DASH) score and the energy-adjusted Dietary Inflammatory Index (E-DII™) score, respectively. Primary outcome was childhood overweight and obesity (OWOB) (age-and-sex-specific BMI z-score > 85th percentile). Secondary outcomes were sum of skinfold thickness (SST), fat mass index (FMI) and fat-free mass index (FFMI). We used multivariable regression analyses (adjusting for maternal lifestyle and sociodemographic factors) to assess the associations of maternal DASH and E-DII scores with offspring adiposity outcomes in cohort-specific analyses, with subsequent random-effect meta-analyses.ResultsThe study mothers had a mean (SD) age of 30.2 (4.6) years and a mean BMI of 23.4 (4.2) kg/m2. Higher early-pregnancy E-DII scores (more pro-inflammatory diet) tended to be associated with a higher odds of late-childhood [10.6 (1.2) years] OWOB [OR (95% CI) 1.09 (1.00, 1.19) per 1-SD E-DII score increase], whereas an inverse association was observed for late-pregnancy E-DII score and early-childhood [2.8 (0.3) years] OWOB [0.91 (0.83, 1.00)]. Higher maternal whole pregnancy DASH score (higher dietary quality) was associated with a lower odds of late-childhood OWOB [OR (95% CI) 0.92 (0.87, 0.98) per 1-SD DASH score increase]; associations were of similar magnitude for early and late-pregnancy [0.86 (0.72, 1.04) and 0.91 (0.85, 0.98), respectively]. These associations were robust in several sensitivity analyses and further adjustment for birth weight and childhood diet did not meaningfully alter the associations and conclusions. In two cohorts with available data, a higher whole pregnancy E-DII and lower DASH scores were associated with a lower late-childhood FFMI in males and a higher mid-childhood FMI in females (P interactions < 0.10).ConclusionsA pro-inflammatory, low-quality maternal antenatal diet may adversely influence offspring body composition and OWOB risk, especially during late-childhood. Promoting an overall healthy and anti-inflammatory maternal dietary pattern may contribute to the prevention of childhood obesity, a complex health issue requiring multifaceted strategy.

Can we modulate the breastfed infant gut microbiota through maternal diet?

Initial colonisation of the infant gut is robustly influenced by regular ingestion of human milk, a substance that contains microbes, microbial metabolites, immune proteins and oligosaccharides. Numerous factors have been identified as potential determinants of the human milk and infant gut microbiota, including maternal diet; however, there is limited data on the influence of maternal diet during lactation on either of these. Here, we review the processes thought to contribute to human milk and infant gut bacterial colonisation and provide a basis for considering the role of maternal dietary patterns during lactation in shaping infant gut microbial composition and function. Although only one observational study has directly investigated the influence of maternal diet during lactation on the infant gut microbiome, data from animal studies suggests that modulation of the maternal gut microbiota, via diet or probiotics, may influence the mammary or milk microbiota. Additionally, evidence from human studies suggests that the maternal diet during pregnancy may affect the gut microbiota of the breastfed infant. Together, there is a plausible hypothesis that maternal diet during lactation may influence the infant gut microbiota. If substantiated in further studies, this may present a potential window of opportunity for modulating the infant gut microbiome in early life.

Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHABET consortium.

BackgroundAdverse birth outcomes are major causes of morbidity and mortality during childhood and associate with a higher risk of noncommunicable diseases in adult life. Maternal periconception and antenatal nutrition, mostly focusing on single nutrients or foods, has been shown to influence infant birth outcomes. However, evidence on whole diet that considers complex nutrient and food interaction is rare and conflicting. We aim to elucidate the influence of whole-diet maternal dietary inflammatory potential and quality during periconceptional and antenatal periods on birth outcomes.Methods and findingsWe harmonized and pooled individual participant data (IPD) from up to 24,861 mother–child pairs in 7 European mother–offspring cohorts [cohort name, country (recruitment dates): ALSPAC, UK (1 April 1991 to 31 December 1992); EDEN, France (27 January 2003 to 6 March 2006); Generation R, the Netherlands (1 April 2002 to 31 January 2006); Lifeways, Ireland (2 October 2001 to 4 April 2003); REPRO_PL, Poland (18 September 2007 to 16 December 2011); ROLO, Ireland (1 January 2007 to 1 January 2011); SWS, United Kingdom (6 April 1998 to 17 December 2002)]. Maternal diets were assessed preconceptionally (n = 2 cohorts) and antenatally (n = 7 cohorts). Maternal dietary inflammatory potential and quality were ranked using the energy-adjusted Dietary Inflammatory Index (E-DII) and Dietary Approaches to Stop Hypertension (DASH) index, respectively. Primary outcomes were birth weight and gestational age at birth. Adverse birth outcomes, i.e., low birth weight (LBW), macrosomia, small-for-gestational-age (SGA), large-for-gestational-age (LGA), preterm and postterm births were defined according to standard clinical cutoffs. Associations of maternal E-DII and DASH scores with infant birth outcomes were assessed using cohort-specific multivariable regression analyses (adjusted for confounders including maternal education, ethnicity, prepregnancy body mass index (BMI), maternal height, parity, cigarettes smoking, and alcohol consumption), with subsequent random-effects meta-analyses.Overall, the study mothers had a mean ± SD age of 29.5 ± 4.9 y at delivery and a mean BMI of 23.3 ± 4.2 kg/m2. Higher pregnancy DASH score (higher dietary quality) was associated with higher birth weight [β(95% CI) = 18.5(5.7, 31.3) g per 1-SD higher DASH score; P value = 0.005] and head circumference [0.03(0.01, 0.06) cm; P value = 0.004], longer birth length [0.05(0.01, 0.10) cm; P value = 0.010], and lower risk of delivering LBW [odds ratio (OR) (95% CI) = 0.89(0.82, 0.95); P value = 0.001] and SGA [0.87(0.82, 0.94); P value < 0.001] infants. Higher maternal prepregnancy E-DII score (more pro-inflammatory diet) was associated with lower birth weight [β(95% CI) = −18.7(−34.8, −2.6) g per 1-SD higher E-DII score; P value = 0.023] and shorter birth length [−0.07(−0.14, −0.01) cm; P value = 0.031], whereas higher pregnancy E-DII score was associated with a shorter birth length [−0.06(−0.10, −0.01) cm; P value = 0.026] and higher risk of SGA [OR(95% CI) = 1.18(1.11, 1.26); P value < 0.001]. In male, but not female, infants higher maternal prepregnancy E-DII was associated with lower birth weight and head circumference, shorter birth length, and higher risk of SGA (P-for-sex-interaction = 0.029, 0.059, 0.104, and 0.075, respectively). No consistent associations were observed for maternal E-DII and DASH scores with gestational age, preterm and postterm birth, or macrosomia and LGA. Limitations of this study were that self-reported dietary data might have increased nondifferential measurement error and that causality cannot be claimed definitely with observational design.ConclusionsIn this cohort study, we observed that maternal diet that is of low quality and high inflammatory potential is associated with lower offspring birth size and higher risk of offspring being born SGA in this multicenter meta-analysis using harmonized IPD. Improving overall maternal dietary pattern based on predefined criteria may optimize fetal growth and avert substantial healthcare burden associated with adverse birth outcomes.

Prenatal Diet and Children's Trajectories of Anxiety and Depression Symptoms from 3 to 8 Years: The EDEN Mother-Child Cohort

BackgroundMaternal diet quality during pregnancy has been linked to offspring's physical and mental health outcomes across the lifespan. However, few studies have examined its association with subsequent offspring's anxiety and depression issues. ObjectivesThe objective of the study was to examine the relationship between maternal prenatal dietary patterns and offspring's anxiety and depression symptoms from 3 to 8 years. MethodsWe used data from 1242 children enrolled in the French EDEN (Etude des déterminants pré- et postnatals précoces du développement et de la santé de l'enfant) birth cohort. Maternal third trimester dietary patterns—namely, “Healthy” (i.e., high intake in fruit, vegetables, fish, and whole-grain cereals) and “Western” (i.e., high intake in processed and snacking foods) patterns—were evaluated using a validated qualitative FFQ. Children's anxiety and depression symptoms (i.e., fears, worries, misery, nervousness, and somatic symptoms) were assessed by mothers using the Strengths and Difficulties Questionnaire at ages 3, 5, and 8 years, from which trajectories were derived using group-based trajectory modeling. We used logistic regressions to analyze the associations between maternal dietary patterns and children's anxiety and depression symptom trajectories. ResultsWe identified 2 trajectories of anxiety and depression symptoms from 3 to 8 years of age: low to moderate (n = 1058; reference group) and moderately high (n = 184). Maternal low adherence to the Healthy dietary pattern in the third trimester was significantly associated with moderately high children's anxiety and depression symptom trajectories from 3 to 8 years (OR, 1.87; 95% CI, 1.40–2.51), in crude and adjusted analyses. The maternal Western dietary pattern was not significantly associated with anxiety and depression symptom trajectories. ConclusionsHigh maternal prenatal adherence to a Healthy dietary pattern was negatively related to anxiety and depression symptoms in children. As maternal diet is a key lifestyle factor, further research should investigate its association with subsequent offspring anxiety and depression symptoms in aiming to later inform prevention strategies focusing on pregnancy.

Maternal dietary patterns and depressive symptoms during pregnancy: The Born in Guangzhou Cohort Study

Maternal depression has been reported to be harmful to maternal and child health, and nutrition-mental health interactions may play a key role, but evidence from longitudinal studies throughout pregnancy remains insufficient. This study aimed to investigate the association of maternal dietary patterns with depressive symptoms throughout pregnancy. This study was based in the Born in Guangzhou Cohort Study. Dietary patterns were defined by cluster analysis based on validated food frequency questionnaires in mid-pregnancy. A healthy diet score was also developed based on predefined criteria of existing dietary guidelines. Depressive symptoms were measured by Self-rating Depression Scale (SDS) in both early and late pregnancy, with SDS scores ≥53 defined as having depressive symptoms. Associations of dietary patterns with SDS scores were examined by linear-mixed models; associations of dietary patterns with the odds of having depressive symptoms were examined by mixed-effects logistic models. The associations of the healthy diet score with both dietary patterns and depressive symptoms were also explored. Six dietary patterns were identified in 17,430 pregnant women, namely 'Varied' (n=3902, 22.4%), 'Vegetables' (n=3269, 18.8%), 'Meats' (n=2951, 16.9%), 'Cereals' (n=2719, 15.6%), 'Milk' (n=2377, 13.6%), and 'Fruits' (n=2212, 12.7%). There were 19.3% and 15.7% of participants with depressive symptoms in early and late pregnancy, respectively. Compared with the 'Varied' pattern, all other patterns were associated with lower SDS scores during pregnancy except for 'Cereals' ('Vegetables': adjusted β [aβ]-0.78, 95% CI -1.16,-0.40; 'Meats': aβ-0.48, 95% CI -0.87,-0.09; 'Milk': aβ-0.52, 95% CI -0.94,-0.10; 'Fruits': aβ-0.85, 95% CI -1.27,-0.42). The 'Vegetables' (adjusted OR [aOR] 0.79, 95% CI 0.67, 0.93), 'Milk' (aOR 0.76, 95% CI 0.63, 0.91), and 'Fruits' (aOR 0.77, 95% CI 0.64, 0.93) patterns were associated with lower odds of having depressive symptoms during pregnancy than the 'Varied' pattern. Results for the healthy diet score revealed the healthiness of the 'Vegetables', 'Fruits', and 'Milk' patterns and supported an inverse association between healthy dietary patterns and depressive symptoms throughout pregnancy. Diets rich in vegetables, fruits, nuts, and dairy products had an inverse association with depressive symptoms throughout pregnancy. Our findings add support to the existing dietary guidelines that healthy diets might also have potential benefits to maternal mental health.

Pre-pregnancy dietary pattern is associated with newborn size: results from ProcriAr study.

Babies born small-for-gestational age (SGA) have an increased risk of mortality, morbidity and adverse functional consequences. Studies suggest that pre-pregnancy maternal diet may influence newborns' size. This study aimed to determine whether maternal pre-pregnancy dietary patterns (DP) are associated with delivering SGA newborns in the ProcriAr Cohort Study, Sao Paulo-Brazil. Pre-pregnancy DP of 299 women were investigated using factor analysis with principal component's estimation, based on intake reported on a validated 110-item FFQ. Newborns were classified as SGA if their weight and/or length, adjusted by gestational age and sex, were below the 10th percentile of the INTERGROWTH-21st standards. Multivariate Poisson regression modelling with robust error variance was performed to examine associations between the different DP (in quintiles) and SGA. In a model adjusted by maternal sociodemographic and health behaviours, women who scored in the highest quintile of the DP 'Snacks, sandwiches, sweets and soft drinks' (in relation to the women who scored in the lowest quintile) were significantly more likely to deliver SGA babies (relative risk 1·92; 95 % CI 1·08, 3·39). This study verified that women's pre-pregnancy dietary behaviour characterised by an energy-dense nutrient-poor food intake was a risk factor for delivering SGA newborns. Investments in education and improved access to healthful food and nutritional information before pregnancy should be prioritised due to their potential positive impact on child health. However, further studies are warranted to identify specific metabolic pathways that may be underlying these associations.

The relationship between maternal dietary patterns during pregnancy in women with gestational diabetes mellitus and infant appetitive feeding behaviour at 6\xa0months

Early dietary exposure may influence infant appetitive feeding behaviour, and therefore their later health. Maternal diabetes in pregnancy is associated with an increased risk of obesity in the offspring. We, therefore, examined third-trimester dietary patterns of women with gestational diabetes, their offspring’s appetitive feeding behaviour at 6 months of age, and relationships between these. We used data from a prospective cohort of women with gestational diabetes and assessed maternal dietary patterns at 36 weeks’ gestation using principal component analysis; infant appetitive feeding behaviour at 6 months of age using the Baby Eating Behaviour Questionnaire; and relationships between these using general linear modelling and chi-square tests. In 325 mother-infant dyads, we identified three distinct maternal dietary patterns: ‘Junk,’ ‘Mixed,’ and ‘Health-conscious.’ The maternal ‘Health-conscious’ pattern was inversely associated with ‘enjoyment of food’ in their sons (β − 0.24, 95% CI − 0.36 to − 0.11, p = 0.0003), but not daughters (β − 0.02, 95% CI − 0.12 to 0.08, p = 0.70), and was positively associated with ‘slowness in eating,’ (β 0.13, 95% CI 0.02 to 0.24, p = 0.01). Third-trimester dietary patterns in women with gestational diabetes may have sex-specific effects on infant appetitive feeding behaviour at 6 months of age.

Maternal dietary patterns are associated with susceptibility to a depressive-like phenotype in rat offspring

Environmental factors such as maternal diet, determine the pathologies that appear early in life and can persist in adulthood. Maternally modified diets provided through pregnancy and lactation increase the predisposition of offspring to the development of many diseases, including obesity, diabetes, and neurodevelopmental and mental disorders such as depression. Fetal and early postnatal development are sensitive periods in the offspring’s life in which maternal nutrition influences epigenetic modifications, which results in changes in gene expression and affects molecular phenotype. This study aimed to evaluate the impact of maternal modified types of diet, including a high-fat diet (HFD), high-carbohydrate diet (HCD) and mixed diet (MD) during pregnancy and lactation on phenotypic changes in rat offspring with respect to anhedonia, depressive- and anxiety-like behavior, memory impairment, and gene expression profile in the frontal cortex. Behavioral results indicate that maternal HFD provokes depressive-like behavior and molecular findings showed that HFD leads to persistent transcriptomics alterations. Moreover, a HFD significantly influences the expression of neuronal markers specific to excitatory and inhibitory cortical neurons. Collectively, these experiments highlight the complexity of the impact of maternal modified diet during fetal programming. Undoubtedly, maternal HFD affects brain development and our findings suggest that nutrition exerts significant changes in brain function that may be associated with depression.

Assessment Of The Relationship Between Maternal Dietary Patterns During Pregnancy And Its Outcomes In Infants

Assessment Of The Relationship Between Maternal Dietary Patterns During Pregnancy And Its Outcomes In Infants

Maternal Dietary Patterns during Pregnancy and Their Association with Gestational Weight Gain and Nutrient Adequacy.

Several epidemiologic studies have shown an association between Gestational Weight Gain (GWG) and offspring complications. The GWG is directly linked to maternal dietary intake and women’s nutritional status during pregnancy. The aim of this study was (1) to assess, in a sample of Spanish pregnant women, the association between maternal dietary patterns and GWG and (2) to assess maternal dietary patterns and nutrient adequate intake according to GWG. A retrospective study was conducted in a sample of 503 adult pregnant women in five hospitals in Eastern Andalusia (Spain). Data on demographic characteristics, anthropometric values, and dietary intake were collected from clinical records by trained midwives. Usual food intake was gathered through a validated Food Frequency Questionnaire (FFQ), and dietary patterns were obtained by principal component analysis. Nutrient adequacy was defined according to European dietary intake recommendations for pregnant women. Regression models adjusted by confounding factors were constructed to study the association between maternal dietary pattern and GWG, and maternal dietary patterns and nutritional adequacy. A negative association was found between GWG and the Mediterranean dietary pattern (crude β = −0.06, 95% CI: −0.11, −0.04). Independent of maternal dietary pattern, nutrient adequacy of dietary fiber, vitamin B9, D, E, and iodine was related to a Mediterranean dietary pattern (p < 0.05). A Mediterranean dietary pattern is related to lower GWG and better nutrient adequacy. The promotion of healthy dietary behavior consistent with the general advice promoted by the Mediterranean Diet (based on legumes, vegetables, nuts, olive oil, and whole cereals) will offer healthful, sustainable, and practical strategies to control GWG and ensure adequate nutrient intake during pregnancy.

Maternal Diet in Pregnancy and Child Blood Pressure: Results from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study

Background: The intrauterine environment may influence offspring blood pressure, with effects possibly extending into adulthood. The associations of maternal dietary patterns and micronutrient status during pregnancy with offspring blood pressure, alone or in combination with other sociodemographic or behavioral factors, are unclear. Methods: The CANDLE study includes a racially and socioeconomically diverse birth cohort in the Mid-South of the U.S.. Mother-child dyads (N=846, 67% Black, 27% White) who completed an age 4-6 visit were included. Child systolic (SBP) and diastolic blood pressure (DBP) percentile incorporating sex, age and height were calculated, and further categorized as high blood pressure (HBP) (&gt;=90th SBP or DBP) or normal. Maternal dietary patterns were assessed by the Healthy Eating Index (HEI) based on a second trimester Food Frequency, and plasma folate levels were determined during mid to late pregnancy. We fit linear and Poisson (relative risk) regression models adjusted for sociodemographic characteristics, anthropometry, behavioral factors, maternal stress and child diet. Interactions between nutrient indices and child sex, maternal race, maternal smoking, breastfeeding and maternal weight status were explored. Results: Mean (standard deviation) HEI and folate were 60.1 (11.3) and 23.2 (11.1) nmol/L respectively. 29% of the children were defined as HBP based on measurements at the age 4-6 visit. Maternal HEI and plasma folate were not associated with child BP percentiles and HBP in the full cohort. Among mothers self-identified as White, each 1-unit increase of HEI was associated with 0.47 lower SBP percentile in the child (95%CI: -0.84, -0.09; Pinteraction: 0.07). We found no evidence of effect modification by child sex, maternal smoking, breastfeeding or maternal weight status. Conclusion: Using two measures of prenatal diet, we found little evidence for effects of maternal diet on childhood BP. Optimal maternal dietary patterns were associated with lower child SBP only in mothers self-identified as White.

The impact of maternal stress on offspring birth weight and the mediating effect of dietary patterns: the Shanghai Maternal-Child Pairs Cohort study

BackgroundMaternal stress and nutrition during pregnancy are two of the most commonly studied factors in the context of fetal development. However, few investigators have considered the combined effects of stress and diet in pregnant women and their offspring. AimsTo determine the impact of maternal stress on offspring birth weight, and the potential mediating role of maternal dietary patterns. MethodsA total of 3542 pregnant women and their singleton live births were recruited from Shanghai Maternal-Child Pairs Cohort (Shanghai MCPC). Maternal stress was assessed using the Life Event Scale for Pregnant Women (LESPW) in early and late pregnancy. Food frequency questionnaire (FFQ) was performed to evaluate maternal diet in late pregnancy. Multiple linear regression was conducted to estimate the associations between maternal stress and child birth weight. Logistic regression was performed to calculate the association between maternal stress and small for gestational age (SGA)/large for gestational age (LGA). The bootstrap method was used to investigate the mediating effects of maternal dietary patterns. ResultsMaternal subjective events stress (β = 0.367) and total stress (β = 0.079) in early pregnancy, and positive objective life events stress (β = 0.275) in late pregnancy, were positively associated with birth weight. Maternal dietary pattern of “high-fat and sugar” mediated the associations between subjective events stress and total stress during early pregnancy and birth weight. An increased risk for LGA was observed among women exposed to relatively higher stress during early pregnancy (OR, 1.416; 95% CI, 1.035-1.937). No statistically significant associations were found between maternal stress during late pregnancy and child birth weight or SGA/LGA. ConclusionsMaternal life events stress during early pregnancy significantly increases neonatal birth weight and risk for LGA, which may mediate by a “high-fat and sugar” dietary pattern. LimitationsThe lack of biological markers limits the explanation of the mechanism. The assessment of diet used food intake frequency to evaluate dietary characteristics, which may miss information of energy intake.

The Impact of Mothers' Dietary Patterns on Children's Nutritional Status in China.

Objective: We studied the effect of mothers' dietary patterns on their children's nutritional status. Methods: Based on the China Health and Nutrition Survey (CHNS) packages in 2004, 2006, 2009, and 2011, mothers' dietary quality scores were calculated using the Dietary Balance Index-07. We further explored the influence of maternal dietary patterns on children's nutritional status using a series of regression analyses with time and province fixed effects in longitudinal study, simultaneouly considering the differential impact of child's age, multigenerational co-residence, and categories of maternal food consumption. Results: Maternal food consumption was slightly higher than what is required, and each food group positively correlated between mothers and their children. Furthermore, the maternal dietary quality score on the children's energy intake was significant. The influence of maternal dietary patterns on children's nutritional intake increases gradually with the child's age, but multigenerational co-residence has the opposite effect. Furthermore, maternal food intake of cereals, vegetables, beans, and meat has a positive impact on children's nutritional intake. Conclusions: Maternal dietary patterns have a significant impact on children's nutritional status. The consumption of meat and multigenerational co-residence should be given high priority.

Maternal dietary pattern in early pregnancy is associated with gestational weight gain and hyperglycemia: A cohort study in South West of Iran

Background and aimsMaternal dietary pattern could influence on fetal health outcome. Thus, this study was conducted to evaluate the relationship between maternal dietary pattern and Gestational Weight Gain (GWG) in each trimester and hyperglycemia amongst Arab pregnant women in south-west of Iran. MethodsThis longitudinally study was performed in urban healthcare centers of south-west of Iran. Among 610 candidates, 488 pregnant women were included in the final analysis. Consequently, two diet patterns were determined by principal component analysis and the association between GWG and blood glucose level was determined using quartile regression. Using generalized linear model, a model was adjusted for pre-pregnancy BMI, maternal age, income, and education levels. ResultsTwo dietary patterns were identified as follows: “high fat –fast food” and “vegetable-fruits & protein” pattern. High adherence to “high fat –fast food” pattern was associated with higher GWG and hyperglycemia in 3rd trimester (adjusted β: 0.029 95%CI 0.012; 0.049 P = 0.001) (adjusted β: 0.029 95%CI 0.012; 0.049 P = 0.001) respectively. High tendency to “vegetable-fruits & protein” pattern was inversely associated with development of hyperglycemia in 3rd trimester. Higher SES level was associated with low adherence to “high fat-fast food” pattern. ConclusionFindings of the study revealed that, higher adherence to high -fat diet is related to excessive GWG and hyperglycemia in late pregnancy.

Dietary patterns of Chinese women of childbearing age during pregnancy and their relationship to the neonatal birth weight

ObjectiveTo examine the type of maternal dietary patterns during pregnancy and the distribution characteristics of children’s birth weight and the association between dietary patterns and neonatal birth weight in China.MethodsData were derived from a cross-sectional program named “The prevalence and risk factors of birth defects in Shaanxi Province” in July to November in 2013. A stratified multistage random sampling method was used to select women and their children. The mother’s diet during pregnancy was investigated using semi-quantitative food frequency questionnaire (FFQ) to collect the frequency and amount of food consumption, and the newborn birth weight as well as related social demographic information was collected at the same time. In our study, 0–1 year old children and their mothers with complete dietary survey data were selected as research objects. The main dietary patterns were identified according to factor analysis, and latent class analysis (LCA) was used to investigate the social demographic factors affecting dietary patterns. The logistic regression model was used to assess the association between birth weight and maternal dietary patterns during pregnancy by establishing three adjusting models and the data were stratified for further analysis by urban-rural and regions.ResultsA total of 15,980 participants were involved in this study. Four dietary patterns were identified: “vegetarian pattern”, “balance pattern”, “traditional pattern” and “processing pattern”. Compared with moderate tertile, women in the highest tertile of adherence to vegetarian pattern increased the risk of low birth weight in offspring in rural areas (OR = 1.61, 95%CI:1.06–2.93) and middle region (OR = 1.75, 95%CI:1.18–2.62), and the traditional pattern had greater odds of lower birth weight in the middle region (OR = 1.55, 95%CI:1.05–3.75). The processing pattern was found a protective factor for the occurrence of low birth weight in rural areas (OR = 0.98, 95%CI:0.43–0.99) but was a risk factor for low birth weight in the southern region (OR = 8.83, 95%CI:1.22–15.16). The balance pattern was a protective factor for the occurrence of low birth weight in the northern region(OR = 0.35, 95%CI:0.14–0.83).ConclusionThe vegetarian and traditional pattern may be positively related to a higher risk of low birth weight while the balanced pattern may keep birth weight of offspring within the appropriate range. Health education of balanced diet and individual nutrition guidance during pregnancy should be strengthened, to make the dietary structure during pregnancy are more reasonable, reduce the occurrence of adverse birth weight of newborns.

Diet in pregnant women that delivered prematurely and preterm newborn’s bone status

Objectives Inadequate maternal dietary pattern has been associated to negative pregnancy and fetal outcomes. With this study, we aimed to evaluate the adequacy of diet in pregnant women that delivered prematurely and its possible correlations with bone status of preterm newborns. Study design We prospectively enrolled women who delivered prematurely (≤than 34 gestational weeks) and their newborns (Neonatal Intensive Care, University Hospital of Padova) from January 2017 to May 2018. Maternal nutritional status and diet supplementations were assessed using a validated questionnaire. The preterm newborns were evaluated with anthropometric measurements and bone status by Quantitative Ultrasound of the second metacarpal bone within 72 h from birth. Results One hundred and eighty mothers and 202 preterm newborns were evaluated. The mothers assumed more calories, proteins, total lipids and simple sugars compared to the revised National Guidelines. The intake of calcium, phosphorus and Vitamin D was inadequate despite the use of multivitamin supplements. The mothers assumption of vitamin D and zinc positively correlated with bone status and mothers with very low intake of vitamin D during gestation (<7 µg/die) had preterm newborns with a worst bone status at birth compared to those with a better intake (>7 µg/die). Conclusions Nutrition of pregnant women could be improved and maternal intakes of Vitamin D and zinc positively correlated with preterm newborn’s bone status.

The Infant Gut Microbiota and Risk of Asthma: The Effect of Maternal Nutrition during Pregnancy and Lactation.

Research has amply demonstrated that early life dysbiosis of the gut microbiota influences the propensity to develop asthma. The influence of maternal nutrition on infant gut microbiota is therefore of growing interest. However, a handful of prospective studies have examined the role of maternal dietary patterns during pregnancy in influencing the infant gut microbiota but did not assess whether this resulted in an increased risk of asthma later in life. The mechanisms involved in the process are also, thus far, poorly documented. There have also been few studies examining the effect of maternal dietary nutrient intake during lactation on the milk microbiota, the effect on the infant gut microbiota and, furthermore, the consequences for asthma development remain largely unknown. Therefore, the specific aim of this mini review is summarizing the current knowledge regarding the effect of maternal nutrition during pregnancy and lactation on the infant gut microbiota composition, and whether it has implications for asthma development.

Dietary patterns of Chinese puerperal women and their association with postpartum weight retention: Results from the mother-infant cohort study.

Dietary intake may affect maternal health, but it remains unclear about puerperal dietary intake and its association with maternal health. This study investigated the dietary patterns and their related factors and association with postpartum weight retention (PPWR) in Chinese puerperal women. Participants were from the mother–infant cohort study, in which both mothers and infants were followed up from childbirth to the next 2 years, in seven cities around China. Maternal puerperal dietary patterns were derived by a food frequency questionnaire and principal component analysis (PCA) within 1 month postpartum. PPWR was assessed by the difference of weight at 42 days and 6 months postpartum minus the pre‐pregnancy weight. Of 503 postpartum women, four dietary patterns were identified, including ‘plant food’ pattern (rice and vegetables as dominant foods), ‘diverse’ pattern (starchy roots, fruit, livestock meat and aquatic products), ‘traditional northern’ pattern (poultry, eggs and soup) and ‘marine‐flour’ pattern (flour, coarse food grains and marine fish). The diverse pattern was associated with professional puerperal family care and counselling service (p < .05). PPWRs at 42 days and 6 months postpartum were 6.37 and 4.70 kg averagely. The plant food dietary pattern tended to be associated with higher 42‐day PPWR (β = .105, p < .05), and diverse pattern was associated with lower 6‐months PPWR (β = −.137, p < .05). Conclusively, this study presented four dominant dietary patterns in Chinese postpartum women and showed a lower PPWR in adherence to diverse dietary pattern. The results would provide evidence to furtherly guide dietary practice and improve maternal health.

Maternal Nutritional Status and Preterm Birth

An optimal diet before and during pregnancy cannot guarantee a successful outcome of pregnancy; it can improve the chance of a healthy newborn baby, a healthy mom, and a healthy future for both. A woman who is well nourished and within her healthy weight range prior to conception provides an environment conducive to normal fetal growth and development during the critical first trimester of pregnancy. Study design and population. This study used data from the mothers and child care unit in health centers, a prospective cohort study in central Al.Hillah designed to investigate the maternal dietary patterns during the second trimester and risk factors for preterm birth. second trimester of pregnant women were recruited at 24–29 wk of gestation from prenatal clinics at the MCH Services Department. Stratified and randomly selected out-patient clinics between Jan 2016 and April 2017. All participants gave written informed consent at the time of recruitment. Data were collected via interviews and self-administered questionnaires, including an MNA to collect dietary information. Socio-demographic information and health behaviors were collected via interviews. during the first 6 mo of pregnancy was collected from self administered questionnaires. pregnancy BMI was based on height measured at the first prenatal clinic visit and self-reported pregnancy weight. Missing pregnancy weight was imputed on the basis of the first prenatal care visit (19). Total of (50) pregnant women were enrolled into the PIN study. Only pregnancies with complete dietary information were included in this study (n = 50). Data analyses the related data by using SPSS 23.0 software program. A level of P &lt; 0.05 was considered statistically signifificant. Characteristics of the intervention group and comparison group were compared using t-tests for continuous variables and ?2-tests for categorical variables. Most of the sample (44.9%) had (21-26) years aged,(36.7%) with (56-66 kg ) body weight and (42.9% ) had 140-150 cm ) body height

The differential effect of maternal dietary patterns on quantiles of Birthweight

BackgroundMaternal dietary habits during pregnancy are considered essential for development and growth of the fetus as well as maternal health. It has an effect on the birthweight of infants. However, little is known about the effect of dietary patterns on birthweight in urban South Africa. This study aimed to investigate differential effect of dietary patterns of pregnant women on quantiles of birthweight.MethodsData for the study were obtained from a Mother and Child in the Environment birth cohort study in Durban South Africa. Quantile regression was used to investigate the effect of maternal dietary patterns on quantiles of birthweight. Data collection was conducted during the period of 2013 to 2017 in Durban South Africa. Using factor analysis, eight dietary groups were identified from 687 pregnant women in the cohort. Quantile regression analysis was employed to identify the differential effects of the seven dietary groups and demographic factors on the birthweight.ResultsThe quantile regression estimates at the 50th quantile and the ordinary regression estimates painted the same picture about the conditional mean effect of covariates on the birthweight. But unlike the quantile regression the ordinary regression fails to give insights about the covariates effect disparities at the low and/or upper birthweight quantiles. All the dietary groups show a significant differential effect at different birthweight quantiles. For instance, increased frequency of protein rich foods intake was associated with reduction in birthweight at lower and upper quantiles; increased frequency of junk foods intake has a slight increase in birthweight at the lower quantiles but significantly higher increase at the 95th quantile (p < 0.001); increase in consuming vegetable rich foods, reduced birthweight at 95th quantile (p < 0.001). The results further showed that employment (p = 0.006) and family size (p = 0.002) had differential effects across different birthweight quantiles.ConclusionsBoth maternal undernutrition and overnutrition of protein rich foods, junk foods, snack and energy foods and vegetable rich foods have shown a substantial varying effects on those infants with birthweights in the lower and upper birthweight quantiles.