Maternal BMI, breastfeeding and perinatal factors that influence early childhood growth trajectories: a scoping review

Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment

Links between human milk (HM) and infant development are poorly understood and often focus on individual HM components. Here we apply multi-modal predictive machine learning to study HM and head circumference (a proxy for brain development) among 1022 mother-infant dyads of the CHILD Cohort. We integrated HM data (19 oligosaccharides, 28 fatty acids, 3 hormones, 28 chemokines) with maternal and infant demographic, health, dietary and home environment data. Head circumference was significantly predictable at 3 and 12 months. Two of the most associated features were HM n3-polyunsaturated fatty acid C22:6n3 (docosahexaenoic acid, DHA; p = 9.6e-05) and maternal intake of fish (p = 4.1e-03), a key dietary source of DHA with established relationships to brain function. Thus, using a systems biology approach, we identified meaningful relationships between HM and brain development, which validates our statistical approach, gives credence to the novel associations we observed, and sets the foundation for further research with additional cohorts and HM analytes.

Maternity care experiences and breastfeeding at discharge among Maryland WIC participants: A qualitative analysis

BACKGROUND

Breastfeeding imparts numerous health and social benefits for families. Barriers deter some individuals from breastfeeding. Rates are lower among certain populations, including participants of the federally funded Women, Infants, and Children's Program (WIC). Women, Infants, and Children's Program provides low-income pregnant and postpartum women and children under 5 with nutrition education, supplemental foods, breastfeeding education and support, and resource linkages. Investigation of WIC participants' hospital experiences and breastfeeding decisions is limited. We explore qualitative themes associated with breastfeeding-related hospital maternity care practices experienced by WIC participants.

METHODS

Thirty pregnant individuals intending to breastfeed were recruited at WIC clinics to complete in-depth interviews at 2 weeks, 3 months, and 6 months of postpartum. Using the Thematic Framework methodology, we analyzed data from the two-week interviews of 29 participants with respect to hospital breastfeeding experiences.

RESULTS

Fourteen participants were exclusively breastfeeding at discharge (EBFD). Fifteen were partially breastfeeding at discharge (PBFD). Differences between groups were found in hospital breastfeeding experiences, particularly in staff support. All participants EBFD reported positive breastfeeding-related staff experiences. Most participants PBFD reported limited and ineffective staff interaction, leading to formula introduction.

CONCLUSIONS

Individuals EBFD and those PBFD reported about the same rate of hospital breastfeeding difficulties, yet half introduced formula within the first few days postpartum. Results reiterate the importance of hospital staff support to breastfeeding exclusivity at 2-3 days postpartum. The challenges that these individuals faced may have been resolved through available, responsive, and effective intervention. Data-driven breastfeeding education programs for hospital health professionals are critical to affect patient breastfeeding outcomes.

Associations between Perinatal Sleepiness and Breastfeeding Intentions and Attitudes and Infant Feeding Behaviors and Beliefs

Breastfeeding rates fall short of public health goals, but barriers are poorly understood. We examined whether excessive sleepiness during pregnancy and the postpartum period was associated with breastfeeding intentions, attitudes, initiation, and continuation in a tobacco-exposed sample participating in a randomized controlled trial to reduce smoke exposure (n = 399). We used the Epworth Sleepiness Scale (ESS) to examine associations between excessive sleepiness in early (12-16 weeks gestation) and late (32 weeks gestation) pregnancy and at 6 months postpartum, with breastfeeding attitudes using the Mitra index, intentions, initiation, and continuation, as well as other infant feeding practices using the Infant Feeding Questionnaire. Logistic regression models adjusted for age, racial/ethnic identity, parity, marital status, and maternal education showed that excessive sleepiness in late pregnancy was associated with less favorable attitudes toward breastfeeding. In addition, in unadjusted models, excessive sleepiness at 6 months postpartum was associated with less of a tendency to use feeding to calm a fussy infant. Excessive sleepiness was not associated with intent, initiation, or continuation of breastfeeding. Assessing excessive sleepiness in late pregnancy may assist in identifying individuals with negative attitudes to breastfeeding and lead to novel approaches to promoting breastfeeding in populations with lower breastfeeding rates.

Maternal BMI in the preconception period, and association with child zBMI growth rates

BACKGROUND

Elevated body mass index (BMI) and rapid growth in early childhood are important predictors of obesity risk. The association between maternal preconception BMI and child growth rates is unclear.

OBJECTIVES

To assess the association between measured maternal preconception BMI and child age- and sex- standardized WHO BMI z-score (zBMI) growth rates and mean zBMI, in children aged 0-10 years old.

METHODS

A longitudinal cohort study was conducted with children (n = 499) enrolled in The Applied Research Group for Kids (TARGet Kids!) primary care practice-based research cohort. Maternal BMI was measured during the preconception period, defined as the 2 years prior to pregnancy. Repeated measures of child weight and height were obtained between 0 and 10 years of age. Linear mixed models were used to evaluate the association between maternal BMI and child zBMI growth rates and mean zBMI.

RESULTS

Maternal preconception BMI was associated with child zBMI growth rate during some growth periods, with the strongest association from age 0 to 4 months; a 5 kg/m2 higher maternal BMI was associated with 0.031 zBMI SD unit/mo higher growth rate (p = 0.004), and 0.186 SD unit higher mean child zBMI (p = 0.0002).

CONCLUSIONS

Maternal preconception BMI was associated with growth rate and mean zBMI in early childhood. The preconception period may be an important target for health interventions to promote healthy child growth rate and weight outcomes.

Childhood Obesity: Position Statement of Polish Society of Pediatrics, Polish Society for Pediatric Obesity, Polish Society of Pediatric Endocrinology and Diabetes, the College of Family Physicians in Poland and Polish Association for Study on Obesity

Childhood obesity is one of the most important problems of public health. Searching was conducted by using PubMed/MEDLINE, Cochrane Library, Science Direct, MEDLINE, and EBSCO databases, from January 2022 to June 2022, for English language meta-analyses, systematic reviews, randomized clinical trials, and observational studies from all over the world. Five main topics were defined in a consensus join statement of the Polish Society of Pediatrics, Polish Society for Pediatric Obesity, Polish Society of Pediatric Endocrinology and Diabetes and Polish Association for the Study on Obesity: (1) definition, causes, consequences of obesity; (2) treatment of obesity; (3) obesity prevention; (4) the role of primary care in the prevention of obesity; (5) Recommendations for general practitioners, parents, teachers, and regional authorities. The statement outlines the role of diet, physical activity in the prevention and treatment of overweight and obesity, and gives appropriate recommendations for interventions by schools, parents, and primary health care. A multisite approach to weight control in children is recommended, taking into account the age, the severity of obesity, and the presence of obesity-related diseases. Combined interventions consisting of dietary modification, physical activity, behavioral therapy, and education are effective in improving metabolic and anthropometric indices. More actions are needed to strengthen the role of primary care in the effective prevention and treatment of obesity because a comprehensive, multi-component intervention appears to yield the best results.