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Record W2779483873

Optimising dietary intake and nutrition related health outcomes in Aboriginal women and their children

2017· dissertation· en· W2779483873 on OpenAlexaboutno aff
Amy Ashman

Bibliographic record

VenueNOVA (University of Newcastle, Australia) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthMedicine
DOInot available

Abstract

fetched live from OpenAlex

Aboriginal Australians have high rates of many chronic diseases, the causes of which are multi-factorial. Optimal nutrition throughout life is protective against a number of adverse health outcomes, and can begin with setting the scene for lifelong health in utero and in the first years of life. However, little is currently known about the dietary intakes of Aboriginal Australian women in pregnancy and in the postpartum period, and their children, particularly in early infancy. This thesis by publication is presented as a series of published research articles. Specific research aims and the results of studies arising from this thesis are summarised below. Dietitians are well-placed to support and work alongside Aboriginal communities in developing and supporting strategies to optimise nutrition for Aboriginal woman and children. Dietitians must demonstrate cultural competency, however opportunities for practical experiences working with Aboriginal communities are limited during undergraduate nutrition degree programs. The aim of the first study was to evaluate the cultural awareness experiences of student and new-graduate dietitians working in an Aboriginal ArtsHealth setting. Six participants reported on their experiences through either written feedback (via email) or oral feedback (via semi-structured interview). A generic inductive approach was used for qualitative data analysis. Key themes emerged around ‘building rapport’ and ‘developing cultural understanding’. Some participants reported an increased understanding of the context around health disparity for Aboriginal Australians, and the experiences of the student and new-graduate dietitians were overwhelmingly positive. To optimise nutrition, current nutrition practices and dietary intakes need to be quantified. The second study of this thesis reports on the dietary intakes and anthropometric and body composition measures of a sample of women and their infants from the Gomeroi gaaynggal study, a prospective longitudinal cohort of Aboriginal women and their children in regional NSW from pregnancy to five years postpartum. A cross-sectional analysis of n=73 mother-child dyads from three months to five years postpartum found a breastfeeding initiation rate of 85.9%, with a median (interquartile range [IQR]) duration of 1.4 months (0.5 – 4.0). Introduction of infants to solid foods and cow’s milk were at 5.0 months (4.0–6.0) and 12.0 months (10.0–13.0) respectively. At one year postpartum 66.7% of women were overweight or obese, and 63.7% were overweight or obese at 2 years postpartum. Results from the Gomeroi gaaynggal cohort were preliminary, but suggest that women in this cohort may benefit from further support to optimise nutrition for themselves and their children. Providing women with tailored nutrition advice requires appropriate tools for dietary assessment. Image-based dietary records are emerging as a novel method for dietary assessment that limits some of the participant burden associated with traditional methods of dietary assessment. The Diet Bytes and Baby Bumps study used image-based dietary records captured via smartphones and a purpose-built brief tool (the Selected Nutrient and Diet Quality [SNaQ] tool) to assess nutrient and food group intakes of pregnant women and to inform the delivery of tailored nutrition advice to participants during their pregnancy. Twenty-five women (27 recruited, including 8 Aboriginal Australians, one withdrawn, one incomplete), had image-based records appropriate for analysis. Median intakes of core food groups of grains and cereals, vegetables, fruit, meat and dairy were reported as being below recommendations, but intakes of energy-dense, nutrient-poor foods exceeded recommendations. Cohen kappa showed moderate to substantial agreement between the SNaQ tool and the nutrient analysis software when assessing adequacy of micronutrient intakes. Relative validity was established by comparison of the image-based dietary records and 24-hour food recalls. There were significant correlations between the two methods of dietary assessment for energy, macronutrients and micronutrient intakes (r=.40–.94, all P<.05), with acceptable agreement between methods. Seventeen women reported changing their diets as a result of receiving personalised nutrition advice. The DietBytes method of image-based dietary assessment was well-received, with 88% of participants stating they would use the method again, including all Aboriginal participants. A systematic review was conducted to identify existing programs that have aimed to improve nutrition-related outcomes in Indigenous pregnant women worldwide, and to identify positive factors contributing to successful programs. This review consisted of 27 studies (20 programs) from Australia, Canada, and the United States of America; the most prevalent outcome measures were breastfeeding initiation/duration (n=11 programs) and birth weight (n=9 programs). Activities employed within programs that resulted in statistically significant improvements in health and/or nutrition outcomes included individual counselling and education, and involvement of peer counsellors or other Indigenous program staff. In successful programs, emphasis was placed on designing nutrition interventions in collaboration with Indigenous communities. This research thesis has highlighted key areas for improving dietary intake and nutrition-related health of Aboriginal Australian women and their children, including breastfeeding duration, appropriate timing of introduction to solid food and cow’s milk, nutrient and food group intake of pregnant and postpartum women, and improving rates of overweight and obesity in women postpartum. An image-based dietary record method of dietary assessment has demonstrated relative validity and acceptability for dietary assessment of Aboriginal pregnant women and acceptability to guide nutrition counselling. Dietitians can best support Aboriginal women and children by working in collaboration with communities to optimise nutrition, and support practice-based student experiences during university training where possible to assist in development of cultural competency skills.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.316
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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