Milk Expression, Breast

This study is about preparing women with excessive weight to have better breastfeeding outcomes. By doing this study, the investigators hope to learn more about how hand expression of breast milk or colostrum during pregnancy can help prepare a mother to breastfeed after she has her baby and about how her diet affects the composition of her breast milk and her baby's growth and development.

Background In neonatal intensive care units (NICUs), mothers are encouraged to express their milk using an electric breast pump. This practice is promoted by nurses and neonatologists due to its beneficial outcomes for newborns. Compared to newborns exclusively fed commercial infant formula, preterm newborns fed breast milk (BM) are less likely to suffer from necrotizing enterocolitis and late-onset sepsis. However, the discomfort associated with using an electrical pump may discourage its use, and almost all mothers start expressing their BM after a premature birth but many stop after a few weeks due to fatigue and stress. Therefore, virtual reality (VR), an immersive experience, seems to be an interesting option as it would provide a relaxing environment and distract mothers of newborns in NICU from the stress and discomfort experienced in order to promote breast milk expression. Aim The aim of this within-subject, pilot clinical trial is to assess the feasibility, acceptability, and preliminary effects of VR on stress, discomfort, and volume of expressed milk in mothers of preterm newborns. Methods Design: Within-subject, randomized pilot clinical trial in which participants are their own control. Setting and sample: Level 3 neonatal intensive care unit (NICU) at a Montreal pediatric teaching university center. Newborns under 29 weeks of age were chose to ensure that newborns would be admitted and remain in the NICU. The objective is to recruit 20 mothers of premature newborns. This will correspond to a total sample of 40 participants as they will be their own control. There will be 50% more mothers recruited (10) to compensate for the usually high attrition or rejection rate for this population, thus a total sample of 30 mothers. Healthcare professionals (nurses and doctors) providing care to participating mothers will be asked to fill a questionnaire on the feasibility of the VR intervention. Randomization and exposure to the interventions: The sequence of exposure to VR will be randomized, not the participants: sequence of 2 days with VR and 2 days without VR. The study will take place over the course of one week. Participating mothers will either be exposed to VR for a minimum of 2 sessions of 30 minutes/day for two days and the following two days to the control intervention or the opposite.

Background: Intestinal microbiota composition is fundamental to human health and undergoes critical changes within the first two years of life. Factors probably influencing the microbiota are the maternal microbiota and the general environment in Switzerland. However, the development of the intestinal microbiota is incompletely understood. Gaining knowledge of the trajectory of microbiota maturation is likely key to the understanding of the pathogenesis of many pathologies in childhood. Aims: The investigators aim for a deep understanding of the maturation of the healthy infant intestinal microbiota regarding composition, diversity and metabolic activities. The investigators aim for identifying parameters affecting microbiota maturation and effects of the microbiota on infant outcome. Methods: The investigators will recruit 250 pregnant mothers who will be followed as mother-baby pairs until 10 years of age. Infants will be followed clinically to determine adequate growth and development as well as pathology including abdominal pain. Epidemiological parameter and infant nutrition will be assessed. The investigators will collect biological samples such as stool, maternal milk, vaginal swaps and skin swaps. Species composition and diversity will be assessed by 16S sequencing. Metagenomic shotgun sequencing and bacterial messenger ribonucleic acid (mRNA) analysis will inform about metabolic potential and metabolic activity of the microbiota. Mass spectrometry will assess the small molecule content of stool and maternal milk samples. Network analysis will be used to assess the complex relationships between bacteria metabolic activities and small molecular content. Expected results: The investigators expect an increase in complexity and metabolic potential and activity with age. Microbiota parameters will differ according to nutrition and might predict infant outcomes such as growth and abdominal pain. Systematic analysis of sequential maternal and infant bacteria samples from stool, skin and maternal milk will help characterizing bacterial transfer from mother to infant Conclusion: The investigators propose an observational study of healthy Bern mother baby pairs with clinical characterisation and biological sampling. Advanced analysis tools will be used to characterise the microbiota and address mechanistic questions.