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Objective: Food insecurity may reduce diet quality, but the relationship between food insecurity severity and diet quality is under-researched. This study aimed to examine the relationship between diet quality and severity of household food insecurity. Design: A cross-sectional, online survey used the United States Department of Agriculture Household Food Security Six-item Short Form to classify respondents as food secure or marginally, moderately or severely food insecure. The Australian Recommended Food Score (ARFS; scored 0¿73) determined diet quality (ARFS total and sub-scale scores). Survey-weighted linear regression (adjusted for age, sex, income, education, location and household composition) was conducted. Setting: Tasmania, Australia. Participants: Community-dwelling adults (aged 18 years and over). Results: The mean ARFS total for the sample (n 804, 53 % female, 29 % aged > 65 years) was 32·4 (SD = 9·8). As the severity of household food insecurity increased, ARFS total decreased. Marginally food-insecure respondents reported a mean ARFS score three points lower than food-secure adults (B = ¿2·7; 95 % CI (¿5·11, ¿0·34); P = 0·03) and reduced by six points for moderately (B = ¿5·6; 95 % CI (¿7·26, ¿3·90); P < 0·001) and twelve points for severely food-insecure respondents (B = ¿11·5; 95 % CI (¿13·21, ¿9·78); P < 0·001). Marginally food-insecure respondents had significantly lower vegetable sub-scale scores, moderately food-insecure respondents had significantly lower sub-scale scores for all food groups except dairy and severely food-insecure respondents had significantly lower scores for all sub-scale scores. Conclusions: Poorer diet quality is evident in marginally, moderately and severely food-insecure adults. Interventions to reduce food insecurity and increase diet quality are required to prevent poorer nutrition-related health outcomes in food-insecure populations in Australia.

Objectives This study sought first to empirically define dietary patterns and to apply the novel Dietary Inflammation Score (DIS) in data from rural and metropolitan populations in Australia, and second to investigate associations with cardiovascular disease (CVD) risk factors. Design Cross-sectional study. Setting Rural and metropolitan Australia. Participants Adults over the age of 18 years living in rural or metropolitan Australia who participated in the Australian Health survey. Primary outcomes A posteriori dietary patterns for participants separated into rural and metropolitan populations using principal component analysis. Secondary outcomes: association of each dietary pattern and DIS with CVD risk factors was explored using logistic regression. Results The sample included 713 rural and 1185 metropolitan participants. The rural sample was significantly older (mean age 52.7 compared with 48.6 years) and had a higher prevalence of CVD risk factors. Two primary dietary patterns were derived from each population (four in total), and dietary patterns were different between the rural and metropolitan areas. None of the identified patterns were associated with CVD risk factors in metropolitan or rural areas, aside diet pattern 2 being strongly associated with from self-reported ischaemic heart disease (OR 13.90 95% CI 2.29 to 84.3) in rural areas. There were no significant differences between the DIS and CVD risk factors across the two populations, except for a higher DIS being associated with overweight/obesity in rural areas. Conclusion Exploration of dietary patterns between rural and metropolitan Australia shows differences between the two populations, possibly reflective of distinct cultures, socioeconomic factors, geography, food access and/or food environments in the different areas. Our study provides evidence that action targeting healthier dietary intakes needs to be tailored to rurality in the Australian context.

Introduction: Primary care prevention strategies that support and provide tools for general practice have the potential to slow and reverse rates of overweight and obesity. Aim: To test the effectiveness of a novel 12-week, online, structured, evidence-based weight management and lifestyle modification programme in general practices. Methods: Between August 2018 and March 2020, participants with a body mass index (BMI) = 25 were recruited from general practices in the Hunter New England and Central Coast Primary Health Network region of Australia. Practices were randomly assigned to deliver a 'low-intensity' (LI) or 'high-intensity' (HI) variant of the programme. Practitioners were trained in programme delivery. The intervention involved weekly progress and accountability checks and scripted education sessions on evidenced-based nutrition, physical activity and lifestyle modification. The trial included follow-up evaluations at 6 and 12 months. Results: In total, 695 participants were recruited from 26 practices. At the end of the 12-week programme, participants in the HI treatment arm lost an average of 3.2 kg (s.d. 3.8) and 29% (50/172) achieved clinically significant weight loss (>5% of initial body weight). Positive results were maintained at evaluations by participants in the HI treatment arm who attended, but only 31% of participants at 6 months and 21% at 12 months were followed up. Discussion: Participant engagement and retention and practitioner workload burden are key factors in the design of weight management programmes in primary care. Many lessons can be obtained as a result of this trial, and programme adjustments have been identified to improve its delivery model.

Background: Changing people's behaviour by giving advice and instruction, as traditionally provided in healthcare consultations, is usually ineffective. Healthy Conversation Skills (HCS) training enhances health professionals' communication skills and ability to empower and motivate people in health behaviour change. Guided by the Theoretical Domains Framework (TDF), this¿study examined the impact of HCS training on health professional barriers to conducting behaviour change conversations in both clinical and non-clinical settings. Secondary aims were to i) identify health professionals' barriers to having behaviour change conversations, and explore the ii) effect of HCS training on health professionals' competence and attitudes to adopting HCS, iii) feasibility, acceptability and appropriateness of using HCS in their clinical and non-clinical roles, and iv) acceptability and quality of HCS training. Methods: HCS training was conducted in October-November 2019 and February 2020. Pre-training (T1), post-training (T2) and follow-up (T3; 6-10 weeks post-training) surveys collected data on demographics and changes in competence, confidence, importance and usefulness (10-point Likert scale, where 10 = highest score) of conducting behaviour change conversations. Validated items assessing barriers to having these conversations were based on eight TDF domains. Post-training acceptability and quality of training was assessed. Data were summarised using descriptive statistics, and differences between TDF domain scores at the specific time points were analysed using Wilcoxon matched-pairs signed-rank tests. Results: Sixty-four participants consented to complete surveys (97% women; 16% identified as Aboriginal), with 37 employed in clinical settings and 27 in non-clinical settings. The training improved scores for the TDF domains of skills (T1: median (interquartile range) = 4.7(3.3-5.3); T3 = 5.7(5.3-6.0), p < 0.01), belief about capabilities (T1 = 4.7(3.3-6.0); T3 = 5.7(5.0-6.0), p <¿0.01), and goals (T1 = 4.3(3.7-5.0); T3 = 4.7(4.3-5.3), p < 0.01) at follow-up. Competence in using 'open discovery questions' increased post-training (T1 = 25% of responses; T2 = 96% of responses; T3 = 87% of responses, p < 0.001), as did participants' confidence for having behaviour change conversations (T1 = 6.0(4.7-7.6); T2 = 8.1(7.1-8.8), p <¿0.001), including an increased confidence in having behaviour change conversations with Aboriginal clients (T1 = 5.0(2.7-6.3); T2 = 7.6(6.4-8.3), p <¿0.001). Conclusions: Provision of additional support strategies to address intentions; memory, attention and decision processes; and behavioural regulation may enhance adoption and maintenance of HCS in routine practice. Wider implementation of HCS training could be an effective strategy to building capacity and support health professionals to use a person-centred, opportunistic approach to health behaviour change.

Suboptimal nutrition during pregnancy is recognised as a significant modifiable determinant in the development of chronic disease in offspring in later life. The current study aimed: (i) to assess the dietary intakes of pregnant Indigenous Australian women against national recommendations and (ii) to investigate the associations between maternal nutrition during pregnancy and the growth of the offspring, including kidney development in late gestation in the Gomeroi gaaynggal cohort (n = 103). Maternal dietary intake in the third trimester was assessed using the Australian Eating Survey Food Frequency Questionnaire. Estimated fetal weight (EFW) and kidney size were obtained by ultrasound. Birth weight was retrieved from hospital birth records. 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 nutrient reference values (NRVs) were zinc (75.7%) and folate (57.3%), whereas iron was the lowest. Only four people achieved all NRVs (folate, iron, calcium, zinc and fibre) important in pregnancy. Sodium and saturated fat intake exceeded recommended levels and diet quality was low, with a median score of 28 out of 73 points. After adjusting for smoking and pre-pregnancy body mass index, only maternal intake of retinol equivalents and the proportion of energy from nutrient-dense or energy-dense, nutrient-poor (EDNP) foods were associated with fetal growth. EFW decreased by 0.13 g and birth weight decreased by 0.24 g for every µg increase in maternal dietary retinol intake. Interestingly, EFW, but not actual birth weight, was positively associated with percentage energy from nutrient dense foods and negatively associated with percentage energy from EDNP foods. Dietary supplement usage was associated with increased birthweight, most significantly iron and folate supplementation. Current dietary intakes of pregnant Australian women from this cohort do not align with national guidelines. Furthermore, current findings show that maternal retinol intake and diet composition during pregnancy can influence fetal growth, but not fetal kidney growth in late gestation. Strategies that aim to support and optimise nutrient intakes of Indigenous pregnant women are urgently needed. Future studies with long-term follow-up of the children in the current cohort to assess renal damage and blood pressure are imperative.

Aim: The nutritional quality of foods consumed by infants and young children to complement breastfeeding or formula feeding influences growth and development. The aim of this study was to identify the dietary intake of Indigenous infants and young children in the Gomeroi gaaynggal cohort, and evaluate the nutritional adequacy of their intake compared with Australian recommendations. Methods: Dietary intake was assessed using diet recalls at approximately 9-, 12- and 24-month visits. Nutrient values of foods were obtained from AUSNUT 2011-13 and nutrient intake compared to the Australian Nutrient Reference Values. Foods were categorised into food groups and intakes compared to the Australian Guide to Healthy Eating. Results: A total of 206 infants and young children were included in the study. Of these, 95 individual children had dietary data collected between 7.6 and 24.7¿months. Infant formula and breastfeeding rates were highest among infants (70% and 20%, respectively). Cow's milk intake was highest among young children (75%). Infants and young children in the cohort met most macro- and micronutrient intake recommendations. Few young children met recommendation for iron (42%), no infant met recommendation for omega-3 fatty acids and almost all exceeded recommendation for sodium. Most young children met daily dairy and fruit recommendations although intake of discretionary foods was high. Conclusions: This study found that diets of Indigenous infants and young children met most key nutrient reference targets. Potential target areas that require dietary optimisation have been identified and will be the focus of community-led strategies in adequate infant nutrition promotion.

Background: Dietary intake is an important modifiable risk factor for cardiovascular disease. However, to our knowledge, there are no systematic reviews of nutrition interventions in the context of cardiovascular disease prevention and management within rural communities. This is important to investigate, given the unique geographic, social, and contextual factors associated with rurality. Objective: Our primary objective was to systematically assess evidence on the effectiveness of randomized controlled trials to improve dietary intake in the context of cardiovascular disease prevention and management in rural communities. Methods: Nine electronic databases were searched from inception to June 2020, including MEDLINE, The Cochrane Library, Embase, Emcare, PsycINFO, Scopus, Rural and Remote Health, CINAHL, and AMED. Randomized controlled trials that reported results of interventions with adult, rural populations and measured change in dietary intake compared to usual care, alternative intervention, or no intervention controls were included. Included randomized controlled trials were also assessed according to the TIDieR (Template for Intervention Description and Reporting) checklist and RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework. Results: Thirteen articles reporting results of randomized controlled trials were identified. Included articles reported a range of nutrition interventions and measured 18 dietary intake outcomes. Most studies (n = 10) demonstrated effectiveness in altering at least 1 dietary intake outcome, including fruit and/or vegetable (n = 9), fiber (n = 2), Dietary Risk Assessment score (n = 2), energy, dairy, carotene, vitamin C and sodium (all n = 1). However, there was wide variation in the reporting of intervention components (according to the TIDieR checklist) and impact (according to RE-AIM framework), resulting in difficulty interpreting the "real-world" implications of these results. Conclusions: Through this systematic review, we found limited evidence of improvement in dietary intakes due to nutrition interventions in the context of cardiovascular disease prevention and management in rural communities. Fruit and/or vegetable intakes were the most frequently reported dietary intake outcomes, and most likely to be improved across the included studies. Included studies were generally not well reported, which may hinder replication by clinicians and consolidation of the evidence base by other researchers. Given the substantial burden of cardiovascular disease experienced by those living in rural areas of developed countries, additional high-quality nutrition research that acknowledges the complexities of rural health is required.

Aim: To investigate associations between changes in vegetable and fruit (V&F) intakes and anthropometric indices (weight, BMI, % body fat, waist circumference), including differences by sex, during a dietary weight-loss intervention. Methods: Adults (18-45 years) with overweight/obesity (BMI 25-35 kg/m2) entered a 10-week pre-post study, receiving individualised consults with an Accredited Practising Dietitian targeting increased V&F intakes. Dietary intake was assessed using 24-hour recalls and food frequency questionnaires. Linear mixed models were used to examine how much of the changes in anthropometric indices were explained by changes in V&F intakes. Sex differences were assessed by Wilcoxon rank sum tests. Results: Of the 43 participants enrolled, 34 completed the study (53% female). Significant differences in energy intake and anthropometric indices were observed between males and females at baseline. After 10 weeks, females significantly reduced their weight (-2.9%, P <.01), BMI (-0.82 kg/m2, P <.01), waist circumference (-1.70 cm, P <.01), energy intake (-824 kJ/day, P =.01) and improved diet quality (-14.0% energy-dense, nutrient-poor foods, P <.01). Males significantly reduced weight (-2.5%, P =.04), BMI (-0.76 kg/m2, P =.03), waist circumference (-2.40 cm, P =.02), energy intake (-2875 kJ/day, P <.01), increased fruit intake (+0.89 serves/day, P =.02) and improved diet quality (-6% energy-dense, nutrient-poor foods, P <.01). Compared to the other sex, greater reductions were observed in energy intake in males and energy-dense, nutrient-poor foods in females. Linear mixed models identified that changes in V&F intakes did not explain the variation in anthropometric measures. Conclusion: Future interventions may benefit from trialling sex tailored messages to enhance effects on anthropometric changes.

Objectives: To describe the current contraception usage patterns from a cohort of Australian Indigenous women, including their ideal family size and spacing between children. Design: Cross-sectional analysis of data (2012-2019). Setting: Data are from a longitudinal study, the Gomeroi gaaynggal (babies from Gomeroi lands) program, based in rural and remote Gomeroi lands in New South Wales. Participants: Women carrying an Indigenous baby who enrolled during pregnancy were eligible for the study. The mother and child are then followed for up to 10¿years. Main outcome measures: Contraception usage in the postnatal period was recorded, as well as whether they were sexually active, whether they wanted more children and their preferred spacing between children. Medical, social and demographic information was also collected. These measures were self-reported via an online tool (Survey Monkey®) at their first visit to the study following the birth of their child. Results: Ninety-nine women were included in the analysis. Most women reported that they were sexually active at the time they were questioned about their contraceptive usage. The most popular contraception choices were condoms, the oral contraceptive pill and implant rods. Those answering that they did not want more children had a median of three children already. Those who wanted more children had a median of one child. The majority of the women stated that 2-3¿years between babies was ideal. Conclusion: The sampled women had clear beliefs about their ideal family size, in which contraceptive usage played an important part.

Introduction: A lack of core food accessibility negatively affects diet quality, potentially increasing the prevalence of health risk factors such as obesity. The purpose of this study was to investigate core food access in an Australian regional center through the use of data visualization techniques. Methods: Supermarkets were used as a proxy for core food accessibility and were identified and mapped by town region with a combination of Google Maps and Stata/IC 15.1 software. A statistical analysis comparing the demographics of each town region was also completed using Stata. Results: The maps generated suggest that there may be a disparity in core food accessibility between town regions. The analysis of demographics demonstrated that one town region had a greater proportion of disadvantaged residents, with statistically significant variation between regions. Conclusion: Data visualization and analysis may be a useful tool for clinicians to communicate accessibility information experienced by local residents. This need not be limited to food accessibility and extended to health services.

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.

Background & aims: A brief assessment tool on frequency and variety of fruit and vegetable intake could provide a cost-effective and sustainable approach to improving diet. The primary aim was to evaluate the comparative validity of a brief index of Fruit And Vegetable VAriety (FAVVA) relative to food and nutrient intakes derived from a comprehensive food frequency questionnaire (FFQ). The secondary aim was to evaluate the FAVVA index in relation to fasting plasma carotenoid concentrations. Methods: Dietary intakes and fasting plasma carotenoid concentrations of 99 overweight and obese adults (49.5% female; 44.6 ± 9.9 years) were assessed at baseline and 3-months. Food and nutrient intakes were assessed using the Australian Eating Survey (AES) FFQ. The FAVVA index was derived from a sub-set of 35 AES questions related to fruit and vegetable intake frequency and variety. Associations were assessed using Spearman's correlation coefficients and linear regression analysis, and agreement using weighted kappa (K w ). Results: Total FAVVA score demonstrated moderate to strong, significant (all p < 0.01) correlations with total daily intakes of vegetables (r = 0.75), vitamin C (r = 0.71), fruit (r = 0.66), vitamin A (r = 0.49), fibre (r = 0.49), potassium (r = 0.46), magnesium (r = 0.39), iron (r = 0.26), riboflavin (r = 0.24), calcium (r = 0.23), zinc (r = 0.20) and niacin equivalent (r = 0.20). These associations remained significant in the adjusted regression analyses and agreement testing. Total FAVVA was significantly correlated with plasma carotenoid concentrations (µg/dL) of a¿carotene (r = 0.22, p < 0.01), ß¿carotene (r = 0.26, p < 0.001), ß¿cryptoxanthin (r = 0.22, p < 0.01) and total carotenoids (r = 0.18, p < 0.05). The associations with a¿carotene (ß = 0.09, p < 0.001), ß¿carotene (ß = 0.42, p < 0.05) and total plasma carotenoids (ß = 0.85, p < 0.05) remained significant in the adjusted regression analyses and for agreement testing. Conclusions: FAVVA is suitable as a brief tool to rank frequency and variety of fruit and vegetable intake.

Adverse pregnancy outcomes including prematurity and low birth weight (LBW) have been associated with life-long chronic disease risk for the infant. Stress during pregnancy increases the risk of adverse pregnancy outcomes. Many studies have reported the incidence of adverse pregnancy outcomes in Indigenous populations and a smaller number of studies have measured rates of stress and depression in these populations. This study sought to examine the potential association between stress during pregnancy and the rate of adverse pregnancy outcomes in Australian Indigenous women residing in rural and remote communities in New South Wales. This study found a higher rate of post-traumatic stress disorder, depression and anxiety symptoms during pregnancy than the general population. There was also a higher incidence of prematurity and LBW deliveries. Unfortunately, missing post-traumatic stress disorder and depressive symptomatology data impeded the examination of associations of interest. This was largely due to the highly sensitive nature of the issues under investigation, and the need to ensure adequate levels of trust between Indigenous women and research staff before disclosure and recording of sensitive research data. We were unable to demonstrate a significant association between the level of stress and the incidence of adverse pregnancy outcomes at this stage. We recommend this longitudinal study continue until complete data sets are available. Future research in this area should ensure prioritization of building trust in participants and overestimating sample size to ensure no undue pressure is placed upon an already stressed participant.

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.

Objective: CVD is a leading cause of mortality and morbidity, and nutrition is an important lifestyle factor. The aim of the present systematic review was to synthesise the literature relating to knowledge translation (KT) of dietary evidence for the prevention and treatment of CVD into practice in populations with or at high risk of CVD. Design: A systematic search of six electronic databases (CINAHL, Cochrane, EMBASE, MEDLINE, PsycINFO and Scopus) was performed. Studies were included if a nutrition or dietary KT was demonstrated to occur with a relevant separate measureable outcome. Quality was assessed using a tool adapted from two quality checklists. Subjects: Population with or at high risk of CVD or clinicians likely to treat this population. Results: A total of 4420 titles and abstracts were screened for inclusion, with 354 full texts retrieved to assess inclusion. Forty-three articles were included in the review, relating to thirty-five separate studies. No studies specifically stated their aim to be KT. Thirty-one studies were in patient or high-risk populations and four targeted health professionals. Few studies stated a theory on which the intervention was based (n 10) and provision of instruction was the most common behaviour change strategy used (n 26). Conclusions: KT in nutrition and dietary studies has been inferred, not stated, with few details provided regarding how dietary knowledge is translated to the end user. This presents challenges for implementation by clinicians and policy and decision makers. Consequently a need exists to improve the quality of publications in this area.

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.

Aim: Overweight and obesity prevalence is high among adolescent girls of low socioeconomic position and this increases their risk of cardiovascular disease and metabolic disorders in adulthood. The aim of this present study was to describe the dietary patterns of adolescent girls in terms of the relative contribution of core food groups to overall diet and by weight status category. Methods: Year 8 female students were recruited from schools in low-income communities. Weight status (i.e. underweight, healthy weight, overweight, obese) was determined using age- and sex-adjusted body mass index (BMI; z score). Dietary intakes were assessed using a validated semi-quantitative food frequency questionnaire. Individual foods were collated into core food group or energy-dense, nutrient-poor categories in line with the Australian Guide to Healthy Eating (AGHE) and the percentage contribution to total energy intake calculated. Results: Participants (n = 332) were (mean ± SD) 13.7 ± 0.4 years old with BMI z score 0.63 ± 1.22. Few girls met AGHE core food group recommendations for daily serves; meat and substitutes 69.3%, vegetables 28.6%, fruit 23.8%, dairy 15.7% and breads/cereals 5.7%. Total percentage energy derived from energy-dense, nutrient-poor foods was 46.6% (37.2-54.6%) (median (interquartile range)), with takeaways 9.8% (7.0-13.6%), confectionery 7.0% (4.1-10.9%) and packaged snacks 6.8% (4.0-10.7%), with no significant differences by weight status. Conclusions: Core food intakes are poor with excessive consumption of energy-dense, nutrient-poor foods in these adolescent girls. Nutrition education programs targeting this population are needed to address this imbalance. Strategies could include substitution of unhealthy snacks for core food items and greater inclusion of core foods within main meals. © 2013 Dietitians Association of Australia.