Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/128214
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMuhlhausler, Beverly-
dc.contributor.advisorNetting, Meryn-
dc.contributor.advisorWlodek, Mary-
dc.contributor.advisorGeddes, Donna-
dc.contributor.authorEsteves Leghi Voyer, Gabriela-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/2440/128214-
dc.description.abstractHuman milk (HM) is uniquely designed for the infant, containing the nutrients and bioactive components that are required to support growth and development, and is known for its important role in infant health. However, it is becoming increasingly clear that the composition of HM varies considerably between mothers, and that these differences may affect the short and longer-term health of the child. The composition of HM varies across lactation and even within a single feed, and as a result the method of HM sample collection can have a significant impact on the results of compositional analyses and complicate comparisons between studies. Therefore, the first part of this thesis details the design and outcomes of a systematic review describing the different collection methodologies applied in studies assessing HM composition and comparing the results obtained for HM macronutrient composition. The results of this systematic review were used to inform development of recommendations for a robust, consistent and practical sampling approach as an alternative to pooled 24-h collections – which has been referred to as the ‘gold standard method’, but which carries a relatively high participant burden and is impractical for large population studies. In addition to the method of collection (pre-feed, post-feed or pooled samples collection), it was also unclear to what extent HM macronutrient concentrations changed over periods of days to weeks and according to collection breast, and thus what frequency of sampling would be required to obtain representative results for HM composition of an individual. The next chapter aimed to complement the previous study by systematically evaluating the impact of day of collection during the week, time of day of collection and collection breast on HM macronutrient concentrations. The results of this study suggested that the pragmatic approach of collecting pre-feed samples at the same time point during the day, and at one time point over a 3-week period, provided a reliable estimate of mature HM composition for an individual, irrespective of the breast of collection. Previous studies had provided evidence that maternal overweight and obesity were potentially associated with alterations in HM composition, and that these may have a role in the intergenerational cycle of obesity. However, the extent of these differences across the full complement of nutritional factors and metabolic hormones in HM was unclear. The second part of this thesis reports the results of a systematic review and meta-analysis describing the effects of maternal obesity on the levels of macronutrients and metabolic hormones in HM. These studies suggest that maternal overweight and obesity are associated with altered concentrations of fat, lactose and key metabolic hormones in HM. While these findings suggest that maternal obesity can impact HM composition, the mechanisms underlying these changes, in particular whether they were driven by metabolic or dietary factors was unclear. Further, the impact of changes to specific components of the maternal diet while breastfeeding on HM composition was unclear. To address this knowledge gap, we undertook a proof of concept clinical trial to assess the effect of improving dietary quality during breastfeeding on the concentrations of macronutrients and metabolic hormones in HM. The study indicated that significant reductions in maternal energy, carbohydrate, fat and sugar intake over a 2-week period were effective in reducing maternal weight and body fat mass and were associated with reduced concentrations of leptin, insulin and adiponectin in HM, but did not affect HM macronutrient composition, milk production or infant growth. In conclusion, this thesis has made a significant contribution to the field of HM research. The research has provided evidence-based recommendations as to a HM sampling protocol for improving replicability and consistency between studies, a contemporary synthesis of information on the impact of maternal obesity on HM composition and novel direct evidence of the impact of improved maternal diet quality on HM composition and production. These data are critical given the established importance of nutritional exposures in early infancy for an individual’s life-long health outcomes, and therefore the potential impact of altered HM composition on long-term health of the child.en
dc.language.isoenen
dc.subjectHuman milken
dc.subjectlactationen
dc.subjectmacronutrientsen
dc.subjectfaten
dc.subjectproteinen
dc.subjectlactoseen
dc.subjecthormonesen
dc.subjectleptinen
dc.subjectadiponectinen
dc.subjectinsulinen
dc.subjectmethodologyen
dc.subjectsamplingen
dc.subjectmaternal obesityen
dc.subjectmaternal dieten
dc.subjectdietary interventionen
dc.titleDeterminants of human milk composition: impact of methodology, maternal obesity and dietary intakeen
dc.typeThesisen
dc.contributor.schoolSchool of Agriculture, Food and Wineen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legalsen
dc.description.dissertationThesis (Ph.D.) -- University of Adelaide, School of Agriculture, Food and Wine, 2020en
Appears in Collections:Research Theses

Files in This Item:
File Description SizeFormat 
Esteves Leghi Voyer2020_PhD.pdf10.23 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.