The role of socio-economic status and energy-density in Australian women of child-bearing age.

INTRODUCTION: An optimal diet is imperative in preparing women for pregnancy and this may be influenced by socio-economic status (SES). This research aims to investigate the role of SES on the dietary energy density (ED) in Australian women of preconception age. METHODS: A secondary analysis of the Australian National Nutrition and Physical Activity Survey 2011-12 for females aged 18-39 years (n = 1617) was conducted. Dietary intake was assessed by 24-hr recalls and dietary ED by dietary energy per weight (kJ.g-1 ). ED was further categorised as ED of foods and beverages separately. SES was assessed by three variables: Socio-Economic Indexes for Areas (SEIFA), developed by the Australian Bureau of Statistics; income decile; and level of education. Linear mixed model regressions were used to identify associations between ED and SES. RESULTS: The median ED for food, beverages and combined food and beverages was 9.38 kJ g-1 , 1.02 kJ g-1 and 7.11 kJ g-1 , respectively. No significant variation was explained by SES variables when analysing combined ED in the adjusted model or ED from foods. Income decile reduced ED of beverages, although with little effect (coefficient: -0.04, P = 0.002). Significant confounders included inactivity, which increased ED in both combined ED and ED foods (coefficient: 0.51, P = 0.001 and coefficient: 0.78, P < 0.001). CONCLUSIONS: SES explained little variation in dietary ED in women of childbearing age. A large proportion of women had high energy-dense diets regardless of their SES. These findings suggest that a large proportion of women, who may become pregnant, have diets that exceed the international recommendations for dietary energy density.

Disparities exist between the dietary intake of Indigenous Australian women during pregnancy and the Australian dietary guidelines: the Gomeroi gaaynggal study.

BACKGROUND: Little is known about the adequacy of nutrient intakes and the overall diet quality of Indigenous Australian pregnant women. The aim of this cross-sectional study was to assess nutrient sufficiency and diet quality, as measured using the Australian Recommended Food Score (ARFS), in pregnant women from the Gomeroi gaaynggal cohort (n = 58). METHODS: Maternal dietary intake during pregnancy was assessed using the Australian Eating Survey Food Frequency Questionnaire, which was self-administered in the third trimester. Diet quality was determined using the ARFS. Food group servings and nutrient intakes were compared to the Australian Guide to Health Eating (AGHE) and Australian Nutrient Reference Values (NRVs). The current analysis examined the adequacy of usual intakes from food sources only, excluding supplements. RESULTS: None of the women met all AGHE daily food group serving recommendations. The highest alignment rates were for dairy (33%), meat/alternatives (31%) and vegetables (29.3%). Almost 93% of participants exceeded the recommended intake of energy-dense, nutrient-poor foods and percentage energy from saturated fat was high (15%). Of the five key nutrients for optimal reproductive health (folate, iron, calcium, zinc and fibre), the nutrients with the highest percentage of pregnant women achieving the NRVs were zinc (77.6%) and folate (68.9%), whereas iron was the lowest. Only one person achieved all NRVs (folate, iron, calcium, zinc and fibre) important in pregnancy. The median ARFS was 28 points (maximum of 73). CONCLUSIONS: Although the small cohort limits the generalisability of the findings of the present study, the data obtained indicate that the diets of these Indigenous pregnant women are inadequate. Therefore, strategies aiming to optimise nutrient intakes of Indigenous pregnant women are needed urgently.

Comparison of fatty acid intakes assessed by a cardiovascular-specific food frequency questionnaire with red blood cell membrane fatty acids in hyperlipidaemic Australian adults: a validation study.

BACKGROUND/OBJECTIVES: Limited dietary intake tools have been validated specifically for hyperlipidaemic adults. The Australian Eating Survey (AES) Food Frequency Questionnaire (FFQ) was adapted to include foods with cardio-protective properties (CVD-AES). The aims were to estimate dietary fatty acid (FA) intakes derived from the CVD-AES and AES and compare them with red blood cell (RBC) membrane FA content. SUBJECTS/METHODS: Dietary intake was measured using the semi-quantitative 120-item AES and 177-item CVD-AES. Nutrient intakes were calculated using AUSNUT 2011-2013. Fasting RBC membrane FAs were assessed using gas chromatography. Extent of agreement between intakes estimated by AES or CVD-AES and RBC membrane composition (% of total FAs) for linoleic acid (LA), alpha-linolenic acid (ALA), eicosapentanoic acid (EPA), docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA) were assessed using Spearman's correlation coefficients, adjusted linear regressions and Kappa statistics. RESULTS: Data from 39 participants (72% female, 59.3±11.1 years) indicate stronger positive correlations between RBC membrane FAs and CVD-AES dietary estimates compared with the AES. Significant (P<0.05) moderate-strong correlations were found between CVD-AES FAs and FA proportions in RBC membranes for EPA (r=0.62), DHA (r=0.53) and DPA (r=0.42), with a moderate correlation for LA (r=0.39) and no correlation with ALA. Significant moderate correlations were found with the AES for DHA (r=0.39), but not for LA, ALA, EPA or DPA. CONCLUSIONS: The CVD-AES provides a more accurate estimate of long chain FA intakes in hyperlipidaemic adults, compared with AES estimates. This indicates that a CVD-specific FFQ should be used when evaluating FA intakes in this population.