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Determinants of Dietary Practices During Pregnancy: Results From a Qualitative Study
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Determinants of Dietary Practices During Pregnancy: Results From a Qualitative Study

J Windus, Judith Maher, Elizabeth Baillie and Roger Hughes
Nutrition & dietetics, Vol.65(Supplement 2), p.A47
Dietitians Association of Australia National Conference, 26th (Gold Coast, Australia, 29-May-2008–31-May-2008)
2008
DOI: https://doi.org/10.1261/j.1747-0080.2008.00284.x
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https://doi.org/10.1261/j.1747-0080.2008.00284.xView
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Abstract

Nutrition and Dietetics Public Health and Health Services Food Sciences
Pregnancy is recognised as a critical life-stage for optimal nutrition to promote maternal, infant and inter-generational health. Participation of the community in different stages of public health projects has been identified as a key capacity building strategy that facilitates community participation and sustainability of project effects. This study (part of the broader Growing Years Project) aimed to investigate the determinants of pregnant women eating well and being physically active, as a basis for informing intervention design. This process encouraged the target group to become involved in the decision making process with respect to problem identification and strategy development. A purposive sample of 35 women were recruited postnatally to participate in a semi-structured interview that retrospectively explored women's experiences relevant to their diet during pregnancy, information sources, services they used during this period, barriers and enablers to healthy eating and perceptions of needed strategies relevant to nutrition promotion. Thematic analysis of interviews indicates that there was widespread basic knowledge of the profile of a healthy diet and a range of common concerns about diet and health during pregnancy. A diverse range of information sources were accessed during this period. A range of physiological, social, cultural and environmental determinants were identifiable that have been used to focus intervention planning and logic modelling, consistent with good practice in intervention design.

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