Pregnant women who develop pre-eclampsia (PE) and/or intra-uterine growth restriction (IUGR) have reduced polyunsaturated fatty acid (PUFA) status compared to healthy pregnancy(1). It is unknown if pregnant women diagnosed with Gestational Diabetes Mellitus (GDM), and their offspring, also have compromised PUFA status. To determine if women with GDM, and their offspring, have altered PUFA status compared to healthy pregnancy. Pregnant women were recruited from Glasgow Scotland, and Brisbane, Australia from antenatal clinics for this cross sectional study. Third trimester maternal blood samples were collected after an overnight fast and cord blood samples were collected at delivery. Plasma fatty acids were analysed using gas chromatography from women with GDM (n = 37) and healthy pregnancies (n = 27) and their respective offspring (n = 31, from women with GDM, and n = 27 from healthy women). T-tests were used to determine significant differences between maternal with GDM and healthy pregnancy, as well as for their offspring and significance was set at p<0.05. Previously, erythrocyte fatty acids were analysed from women with PE (n = 21), IUGR (n = 13) and healthy pregnancies (n = 86)(1). All results were expressed as mol percent of total fatty acids. There were no differences in maternal plasma arachidonic acid (4.51 ± 1.23 vs. 4.72 ± 0.64, p = 0.39) and plasma EPA & DHA (2.33 ± 0.74 vs 2.69 ± 1.04, p = 0.14) in women with GDM and healthy pregnancies, respectively. There were no differences in fetal plasma arachidonic acid (11.58 ± 2.26 vs. 12.63 ± 1.69, p = 0.08) and plasma EPA & DHA (4.44 ± 1.17 vs. 4.44 ± 1.00, p = 0.89) in offspring from women with GDM and healthy pregnancies, respectively. Women with PE and IUGR had approximately 25% lower erythrocyte EPA & DHA and 35% lower erythrocyte arachidonic acid compared to healthy pregnant(1). Offspring from women with PE and IUGR had approximately 25% lower erythrocyte EPA & DHA and 22% lower erythrocyte arachidonic acid compared to healthy pregnancy(1).Women with PE and IUGR had lower PUFA status likely due to reduced PUFA synthesis(1) and offspring from women with PE and IUGR had reduced PUFA status likely due to ectopic fat in placenta tissue(2). Women with GDM do not have compromised PUFA status suggesting there is no reduced synthesis and transport of PUFA. Offspring from women with GDM do not have reduced PUFA status suggesting there is no problem with PUFA transport across the placenta, unlike offspring from women with PE and/or IUGR. Women with GDM, and their offspring, do not have compromised plasma PUFA status compared to healthy pregnancy.

The United Nations’ Agenda 2030 provides a framework of 17 Sustainable Development Goals (SDGs) to achieve peace and prosperity for people and planet, now and into the future(1). The United Nations Decade of Action on Nutrition emphasises that food and nutrition are key levers for optimising both human and planetary health and that individuals working in food, nutrition and health play an essential role in contributing to the SDGs(2,3). This project aimed to (i) map the work being done by staff and higher degree students at Monash University’s Department of Nutrition, Dietetics and Food and its alignment with the SDGs, and (ii) assess the impact of this process on workforce capacity to embed the SDGs in future work activities. Three mapping workshops; one pilot, one in-person and one online, were conducted (n = 28), beginning with a short expert-led seminar about the SDGs before participants engaged in an interactive activity to record their work activities (research, education or engagement) relating to the SDGs. Mapping data were analysed to determine which SDGs were being prioritised and in what type of activities. To determine the impact on workforce capacity, participants completed pre- and post-workshop surveys that assessed their knowledge of and confidence regarding the SDGs. From the three workshops, 129 work activities were described, each linked to one or more of the SDGs. Of those, 41% were education, 36% were research, and 23% were engagement activities. Work activities spanned all 17 of the SDGs, with the most commonly aligned being Goal 3 Good Health and Wellbeing (53% of work activities), Goal 10 Reduced Inequalities (37% of work activities), Goal 4 Quality Education (36% of work activities), Goal 12 Responsible Consumption and Production (34% of work activities), and Goal 17 Partnerships for the Goals (27% of work activities). The pre- and post-workshop surveys indicated increased staff knowledge and confidence related to the SDGs. The percentage of participants that could correctly identify the number of SDGs increased from 43% to 96%, and the percentage of participants that recognised the correct aim of the SDGs increased from 43% to 86%. Regarding confidence in talking about the SDGs, the percentage of staff who indicated that they ‘avoid talking about them’ or are ‘not confident’ decreased from 39% to 4%, and the number of staff who were confident talking about the SDGs ‘in general terms’ increased from 39% to 75%. Nutrition professionals are well-placed to support progress towards each of the SDGs. Workshops such as these provide an opportunity to increase workforce capacity to discuss, share and relate their work to the SDGs and provide a periodic pulse-check to identify opportunities for greater contribution to this urgent, global Agenda.

Snacking is a common eating behaviour among adolescents accounting for more than a quarter of their total energy intake but the relationship between snacks and overall diet quality remains unclear(1). Hence, the aim of this study was to examine characteristics of snacks among Australian adolescents (12-18 years) according to their level of diet quality. This secondary analysis uses one day of 24-hour dietary recall data from the 2011 - 2012 National Nutrition and Physical Activity Survey (n = 935). Snacks were defined based on participant-identified eating occasions(2). The Dietary Guideline Index for Children and Adolescents (DGI-CA) was used to assessed adherence to the Australian Dietary Guidelines(3), with the highest tertile of the DGI-CA score indicating high adherence. The means (95% confidence intervals [CI]) for daily snack frequency and snack energy density (ED; kJ/g) were estimated for boys and girls, using linear regression, adjusted for age, area-level disadvantage, and energy misreporting. The differences in means and proportions across tertiles of DGI-CA scores were tested by using F- and Chi square-tests, respectively. The results show no significant differences in the mean frequency of snacks across tertiles of DGI-CA scores in either boys (lowest tertile mean = 2.2, 95% CI [2.0, 2.4] snacks/day, highest tertile = 2.1 [1.9, 2.3]) or girls (lowest tertile = 1.9 [1.7, 2.1] snacks/day, highest tertile = 2.2 [1.9, 2.4]). The mean ED of snacks decreased as DGI-CA scores increased in both boys (lowest tertile = 8.42, 95% CI [7.1, 10] kJ/g, highest tertile = 6.32 [5.4, 7.4] kJ/g) and girls (lowest tertile = 8.99 [7.8, 10.3] kJ/g, highest tertile = 5.92 [5.1, 6.9] kJ/g). As DGI-CA scores increased, the proportion of both boys and girls consuming discretionary foods at snacks (such as soft drinks) decreased, while foods from the five food groups (such as apples) increased (p-values < 0.05). In conclusion, snack ED, but not frequency, and the types of foods consumed by adolescents at snacks varied by a level of diet quality. Snack ED decreased with increasing diet quality and adolescents with higher diet quality had higher intakes of foods from the five food groups and lower intakes of discretionary foods at snacks. Encouraging the consumption of lower-ED foods from the five food groups at snacks presents an opportunity to enhance adolescent diet quality. Future studies should explore snack-specific strategies to improve overall diet quality of adolescents.

A ‘Blackout Rage Gallon’ (borg) is a dangerous new alcohol consumption trend popular with young people. It involves creating a customised, individual alcoholic beverage by replacing half the water in a four litre (gallon) jug with alcohol (usually spirits), flavourings, electrolytes and caffeinated energy drinks or caffeine supplements. The most prevalent ‘recipe’ calls for the addition of 750ml of alcohol. The ‘blackout’ part of the name refers to the intent of one person to consume the borg in one session, thereby encouraging risky alcohol use. Indeed, there have been reports in popular media of multiple hospitalisations attributed to consumption of borgs at college events in the United States. Part of the attraction of the trend is to label the borg with a clever name, usually incorporating the term ‘borg’. The trend has gained traction recently on TikTok, which has become an important, yet unregulated, source of information for the public including young people(1). We investigated TikTok videos associated with the hashtag #borg to better understand this dangerous new phenomenon. We identified and analysed highly viewed TikTok videos (n = 105) for engagement, techniques, characteristics of featured individuals, and the portrayal of alcohol and risky drinking behaviours. Alcohol was visible in three quarters of the videos analysed (n = 78), and consumed in one third (n = 34). The average amount of alcohol present was well in excess of safe drinking guidelines (865ml) One quarter of videos (n = 25) promoted alleged benefits such as control of volume of consumption, protection from drink spiking, and mitigation of side effects due to addition of electrolytes and water. Alarmingly, only 9 videos included a warning about potential harms of the borg or alcohol in general. Indeed, videos discussing potential harms and benefits tended to encourage the use of borg, for example ‘I’m on board with the borg’. Our study found the borg TikTok trend encourages risky drinking in a fun and entertaining way, supporting previous studies where the majority of content was positively portraying a product or behaviour(2). As there is an association between viewing alcohol-related content on social media and alcohol use(3), there is an urgent need for social media content restrictions to limit the visibility of risky alcohol consumption, particularly to underage users.

Establishing healthy lifelong eating habits in young people is important for short and long-term health(1). Schools are ideal setting to improve diet. However, research shows that many school food environments are unhealthy(2). In New Zealand (NZ), the canteen is a popular food provision, particularly in secondary schools. This research aimed to explore the barriers and enablers to providing healthy food and beverages in NZ secondary school canteens. In 2022, 6 secondary schools were purposively selected to participate in semi-structured interviews about foods and beverages sold in schools’ canteens and the factors that influenced this. In total, 11 stakeholders representing six schools and one staff member of an external catering company completed interviews. The interviews were transcribed and analysed using a reflexive thematic analysis approach(3). Four themes were developed. Theme 1 Action-oriented school policies that are based on healthy eating principles can facilitate healthier canteens highlighted the use and characteristics of policies. The subtheme highlighted that Mandatory policies are more enforceable. Theme 2 Multiple component opt-in programs or interventions facilitate a healthier school food provision shows that opt-in government interventions (e.g. Ka Ora, Ka Ako, the NZ free school lunch initiative) with funding, monitoring, and incentives can improve food provision. The subtheme Health-enhancing changes in the school environment has flow-on effect to canteens showed that these changes can affect the entire school food environment. Theme 3 Healthy canteens get lost in the “pecking order” of what’s important highlights that while schools and key stakeholders may believe healthy eating is important, other factors related to well-being and education were more important to prioritise within the school’s limited resources. Theme 4 People’s values, attitudes and beliefs may help and hinder the healthiness of canteens and explores the role champions have in influencing the healthiness of the canteen. Champions were those with a positive, proactive attitude, value healthy eating and are capable. Subtheme 1 Meet student preferences while providing healthy food was a common barrier many champions worked hard to overcome. The final subtheme identified how A collaborative approach within schools and their communities can overcome barriers to healthy canteens. Government mandates and interventions can positively impact the canteen and other food provisions. This research supports a recommendation for schools to create and implement school policies around food encompassing a whole-school approach.

Depression and eating disorder (ED) risk are heightened during adolescence(1) and both were exacerbated during COVID-19 lockdowns. This analysis reports changes in self-reported symptoms of depression and eating disorders throughout the Fast Track to Health trial. Fast Track to Health was a 52-week multi-site randomised-controlled trial, conducted 2018-2023, comparing intermittent (IER) and continuous energy restriction (CER) in adolescents with obesity and ≥1 associated comorbidity(2). The Centre for Epidemiologic Studies Depression Scale-revised 10-item version for adolescents (CESDR) was used to assess symptoms of depression (no symptoms, sub-threshold, or possible, probable, major depressive episode). Eating Disorder Examination Questionnaire (EDE-Q) was used to assess ED risk; defined as global score ≥2.7, ≥2 episodes of binge eating with/without loss of control, or ≥1 episode of purging within the last 28-days. The Binge Eating Scale (BES) assessed severity of binge eating (no binge eating, mild/moderate, severe). Adolescents were monitored for disordered eating during dietetic consults. Linear mixed models, retaining all data consistent with intention-to-treat analysis, were used to estimate the change in outcomes from baseline to week-52. Descriptive statistics were used to describe the number of participants meeting screening criteria at baseline and week-52. One hundred and forty one adolescents were enrolled and 97 completed the trial, with median (IQR) EDE-Q score 2.28 (1.43 to 3.14), CESDR 9.00 (4.0 to 14.5) and BES 11.0 (5.0 to 17.0) at baseline. EDE-Q (change in estimated marginal means [SE], IER −0.63 [0.18], CER −0.56 [0.17]) and CESDR (IER −2.70 [1.15], CER −3.87 [1.07]) scores reduced between baseline and week-52 in both groups (p<0.05) with no difference between groups. There was a between group difference (p = 0.019) in change in BES. The IER group had a reduction between baseline and week-52 (−3.72 [1.27]) and the CER group had no change. At baseline, 31 (22%) adolescents were classified as having a possible/probable/major depressive episode, 110 (78%) met ≥1 ED criteria and 28 (21%) as mild/moderate or severe binge eating, reducing to 8 (9%), 56 (61%) and 15 (16%) respectively at week-52. A small sub-group of adolescents required additional support for disordered eating. Overall, treatment-seeking adolescents with obesity have symptoms of depression and ED. Although symptoms reduce for most, some required additional support. Screening and monitoring for depression and ED are important to ensure early intervention.

Food choice is complex and is heavily influenced by the environment one lives in(1). Pacific Island food environments, including those in Tonga, have changed considerably in recent years, making healthier food choice more challenging(2). A widespread nutrition transition across the region has contributed to an increase in the availability of, and accessibility to, highly-processed foods, and high rates of diet-related non-communicable diseases(3). While system change is needed to support the availability, accessibility and affordability of healthy foods, nutrition education plays an important role in supporting individuals, communities, and populations to navigate their rapidly changing food environments, and to encourage healthy food choice and behaviour change. Approaches to nutrition education in the Pacific Islands region vary and do not always consider the socio-cultural aspects of the food environment, especially when focusing on fruit and vegetable consumption. This work was driven by an intent to develop contextually appropriate nutrition education plans using a structured process, Design Online(4). However, to develop a nutrition education plan a critical analysis of the current motivators and facilitators for the behaviour are required. When reviewing the scientific literature there is limited information on determinants of food choice within Tonga, and more broadly within the Pacific Islands context. Therefore, the aim of this cohort study was to qualitatively explore and document the motivating and facilitating determinants of fruit and vegetable consumption in Tonga. Data collection took place during August and September 2023 on the main island of Tongatapu. Semi-structured interviews (n = 5 men, 3 women) and a focus group (n = 4 women) based on the most appropriate method of engaging with participants, were conducted in Tongan. Guiding questions were derived from Design Online and proposed within the following categories: motivating determinants and facilitating determinants. Interview responses were qualitatively analysed using an inductive content analysis model. Key categories for motivating determinants included health and nutrition knowledge, normal consumption patterns, availability and access, production, financial considerations and preferences, perceptions and practices. Key categories for facilitating determinants included education, community engagement, environmental factors, food preference, finance, and accessibility. While this work has explored motivating and facilitating determinants for fruit and vegetable consumption in Tonga with a small sample, it makes an important contribution to the limited literature. The findings of this study can be used to underpin activities, such as the design of nutrition education plans. The findings also provide a foundation for further exploration of determinants of food choice. This study was undertaken on the main island of Tongatapu, but it is of interest to explore determinants with communities who live in the outer islands, and at different time points during the year to reflect seasonality.

Within rural Australia, only 47% and 9% of adults meet recommendations for fruit and vegetable intake, respectively, which is a leading contributor to the increased risk of non-communicable disease. Previous literature has identified barriers and facilitators to increasing fruit and vegetable intake in rural Australian settings, such as having greater access to fresh produce(1). However, this literature is limited by observing fruit and vegetables as a single food group and small sample sizes. This study aimed to determine the barriers and facilitators to meeting fruit and vegetable recommendations (as separate food groups) in rural Australian adults. It was hypothesised that barriers and facilitators to consumption of fruits and vegetables would be identified at the individual, social-environmental and physical-environmental levels of a socio-ecological framework and these would differ between fruit and vegetables(2). Data from the 2019 Active Living Census were used, completed in the Loddon Campaspe region of north-west Victoria, Australia. Data were available at the level of the individual (socio-demographic characteristics, health behaviours, education level, financial stability), social-environment (household size), and physical-environment (use of community gardens). Information on fruit and vegetable consumption was collected using two open-ended questions asking how many serves were consumed each day. Survey weighting was used to account for the survey design. Descriptive statistics were reported for continuous (mean and standard errors [SE]) and categorical (frequencies) data. Multivariate logistic regression analyses were used to determine odds ratios (OR) and 95% confidence intervals (CI) for meeting fruit and vegetables recommendations according to barriers and facilitators at the individual, social-environmental and physical-environmental level. A total of 13,464 adults with complete data were included in the analysis (51% female; mean age 48 (0.17) years). Mean fruit intake was 2.85 (0.02) serves per day and mean vegetable intake was 1.56 (0.01) serves per day. A total of 48% of participants consumed the recommended two serves of fruit daily, while 19% consumed the recommended five serves for vegetables. Multivariate analyses determined distinct barriers and facilitators to consumption between fruit and vegetables. For example, a larger household size facilitated meeting vegetable recommendations (OR: 1.41; 95% CI: 1.22, 1.63), but not fruit, and greater alcohol consumption was a barrier to meeting fruit recommendations (OR: 1.47; 95% CI: 1.31, 1.64), but not vegetables. Common facilitators across both fruit and vegetables included higher age, lower BMI, being a non-smoker, and engaging in more vigorous activity. The results of this research will help inform future policies to increase both fruit and vegetable intake in rural communities, therefore contributing to efforts to improve the health of rural Australians.

The nutritional environment in early life is a key factor for brain development and function. It is important to understand the relationship between early life nutrition and academic achievement in adolescence. The Pacific Islands families (PIF) birth cohort(1) were born in the year 2000. When their child was 6 weeks old mothers were asked questions concerning food security over the last year. Two binary measures of food security were derived as previously used in PIF and also by the Ministry of Health (MOH). Records of academic achievement for 649 youth were obtained from the National Certificate of Educational Achievement database in 2019. Highest qualifications and a composite ranking score allowed achievement to be assessed at levels 1, 2 and 3 of NCEA and for University Entrance (UE, lowest to highest). More females (27%) than males (18%) achieved UE as their highest qualification and more males (40%) than females (31%) achieved level 1 or 2 as their highest qualification. UE was achieved by 25% of those born into food secure households and 17% from food insecure households. Logistic regression demonstrated that being female increased the odds of achieving UE 1.8 fold and food security a further 1.6 fold. The prevalence of food insecurity was not different by sex but high at 29% and 42% using the PIF and MOH measure of food insecurity respectively. This work emphasises the importance of maternal and early life food security for subsequent academic achievement and the well-being of future generations.

Nutrition intervention trials play a key role in informing clinical and dietary guidelines. Within these trials, we need participants to change their behaviours; however, researchers seldom systematically consider how to support participants with these changes, contributing to poor adherence. Here we evaluate how using a behaviour change framework to develop support within a dietary intervention impacts young adults’ adherence to required trial behaviours. In the Protein Diet Satisfaction (PREDITION) trial, 80 young adults were randomised to a flexitarian or vegetarian diet for 10-weeks to investigate the psychological and cardiometabolic effects of moderate lean red meat consumption as part of a balanced diet(1). To understand these outcomes, it was key that participants within the trial (i) ate a healthy, basal vegetarian diet (excluding meat, poultry, and fish not provided by research team) and (ii) reported their dietary intake daily on a smartphone application (required to evaluate intervention compliance). To enhance adherence to these behaviours the Nine Principles framework was used to develop behaviour change support (BCS)(2). Key components of the BCS included access to a dietitian-led Facebook group, text reminders, and food delivery. Effectiveness was measured using the following analyses of the 78 participants who completed the study: pre-post change in targeted dietary habits over time using a subscore of the Healthy Diet Habits Index, adherence score to reporting over 10-weeks, Facebook group engagement, and impact evaluation. Analysis included linear imputation modelling, t-tests, and chi-square analysis. The total Healthy Diet Habits Index subscore out of 16 significantly increased from baseline to week 10 (10.6 ± 2.6 to 11.2 ± 2.6, p = 0.011), demonstrating maintenance of a healthy diet. Overall adherence to reporting was high across the 10 weeks, with the total population mean reporting score 90.4 ± 14.6 out of a possible 100. This strengthens study validity, allowing us to confidently report if participants complied with study requirements of consuming the intervention protein (red meat or plant-based meat alternatives) on top of a basal vegetarian diet. Although relatively low active Facebook engagement was observed (on average <1 ‘react’ per post), most participants agreed the text messages and Facebook groups supported them to adhere to recording (63%) and eating healthily (60%), respectively. This is the first study to provide an example of how a framework can be used to systematically develop, implement, and assess BCS within a nutrition trial. This appears to be a promising way to enhance adherence to study-related behaviours, including the burdensome task of reporting dietary intake. We believe this has great potential to improve research validity and decrease resource waste, not only for the PREDITION trial but in future dietary intervention trials.

Flexitarian, vegetarian and vegan diets are increasingly popular, particularly amongst young adults. This is the first randomised dietary intervention to investigate the health, wellbeing, and behavioural implications of consuming a basal vegetarian diet that additionally includes low-to-moderate amounts of red meat compared to one containing plant-based meat alternatives (PBMAs) in young adults (NCT04869163)(1). The objective for the current analysis is to measure adherence to the intervention, nutrition behaviours, and participants’ experience with their allocated dietary group. Eighty healthy young adults participated in this 10-week dietary intervention as household pairs. Household pairs were randomised to receive approximately three serves of beef and lamb meat (average of 390 g total cooked weight per person per week, flexitarian group) or PBMAs (350–400 g, vegetarian group) on top of a basal vegetarian diet. Participants were supported to adopt healthy eating behaviours, and this intervention was developed and implemented using a behaviour change framework(2). Diet adherence (eating allocated meat or PBMA, abstaining from animal-based foods not provided by researchers) was monitored daily, with total scores calculated at the end of the 10-week intervention period. Eating experiences were measured by the Positive Eating Scale and a purpose-designed exit survey, and a food frequency questionnaire measured dietary intake. Analyses used mixed effects modelling taking household clustering into account. The average total adherence score was 91.5 (SD = 9.0) out of a possible 100, with participants in the flexitarian group scoring higher (96.1, SD = 4.6, compared to 86.7, SD = 10.0; p < 0.001). Those receiving meat were generally more satisfied with this allocation compared to those receiving the PBMAs, even though a leading motivation for participants joining the study was an opportunity to try plant-based eating (35% expressed that that interest). Participants in both intervention groups had increased vegetable intake (p < 0.001), and reported more positive eating experiences (p = 0.020) and satisfaction with eating (p = 0.021) at the end of the 10-week intervention relative to baseline values. Behavioural methods to encourage engagement with the trial were successful, as participants demonstrated excellent adherence to the intervention. The flexitarian and vegetarian diets elicited different responses in adherence and eating experience. This holds relevance for the inclusion of red meat and PBMAs in healthy, sustainable dietary patterns beyond this study alone.

The prevalence of food allergies in New Zealand infants is unknown; however, it is thought to be similar to Australia, where the prevalence is over 10% of 1-year-olds(1). Current New Zealand recommendations for reducing the risk of food allergies are to: offer all infants major food allergens (age appropriate texture) at the start of complementary feeding (around 6 months); ensure major allergens are given to all infants before 1 year; once a major allergen is tolerated, maintain tolerance by regularly (approximately twice a week) offering the allergen food; and continue breastfeeding while introducing complementary foods(2). To our knowledge, there is no research investigating whether parents follow these recommendations. Therefore, this study aimed to explore parental offering of major food allergens to infants during complementary feeding and parental-reported food allergies. The cross-sectional study included 625 parent-infant dyads from the multi-centred (Auckland and Dunedin) First Foods New Zealand study. Infants were 7-10 months of age and participants were recruited in 2020-2022. This secondary analysis included the use of a study questionnaire and 24-hour diet recall data. The questionnaire included determining whether the infant was currently breastfed, whether major food allergens were offered to the infant, whether parents intended to avoid any foods during the first year of life, whether the infant had any known food allergies, and if so, how they were diagnosed. For assessing consumers of major food allergens, 24-hour diet recall data was used (2 days per infant). The questionnaire was used to determine that all major food allergens were offered to 17% of infants aged 9-10 months. On the diet recall days, dairy (94.4%) and wheat (91.2%) were the most common major food allergens consumed. Breastfed infants (n = 414) were more likely to consume sesame than non-breastfed infants (n = 211) (48.8% vs 33.7%, p≤0.001). Overall, 12.6% of infants had a parental-reported food allergy, with egg allergy being the most common (45.6% of the parents who reported a food allergy). A symptomatic response after exposure was the most common diagnostic tool. In conclusion, only 17% of infants were offered all major food allergens by 9-10 months of age. More guidance may be required to ensure current recommendations are followed and that all major food allergens are introduced by 1 year of age. These results provide critical insight into parents’ current practices, which is essential in determining whether more targeted advice regarding allergy prevention and diagnosis is required.

Reliable dietary assessment is key to our understanding of diet-health interactions(1). Most current dietary assessment methods are self-reported, making them prone to a range of biases(2). Objective markers, such as certain metabolite concentrations in human tissue, may prove a more reliable method of dietary assessment in the future while reducing participant burden(2,3). An example of these metabolite markers are alkylresorcinols, a family of compounds found in the bran layer of common grains. High concentrations of alkylresorcinols reflect high wholegrain intakes, very low levels indicate only refined grain intake, while no alkylresorcinols would indicate a gluten-free diet. We conducted a randomised crossover feeding study of three interventions (one standardisation day followed by a feeding day where known amounts were consumed under observation). Each feeding day differed by which food groups were provided (e.g., chicken, legumes, and fruit) or entirely absent (e.g., grains, fish, and dairy). Participants provided 24-hour urine samples on all six days (standardisation days and feeding days), as well as a 24-recalls and fasted blood samples the morning after each day. Known metabolite markers of dietary intake (approximately 70) were identified in blood and urine with LC-MSqToF, and semi-quantified with a known standard. Twenty-four hour urine sodium content was also measured as the current best known objective marker of dietary intake(4). Twenty-four participants (74% female, age (SD) 24.8 (6.1), BMI 24.1 (4.0)) commenced the study, with 21 (88%) completing all three interventions. Mean energy intake on feeding days (11720 kJ (2943.01)) was higher than self-reported energy intake on standardisation days (9243.57 kJ (3582.92)). Meals were well tolerated, with mean (range) intakes of 9.8 (6.3 – 16.1) serves whole grains, 2.4 (1.6 – 4.8) serves fish, 3.1 (1.9 – 5.5) serves dairy, 5.6 (4.5 – 9.1) serves chicken, 8.2 (7.0 – 14.1) serves legumes, 3.1 (1.3 – 4.6) serves fruit, 3.9 (2.6 – 6.4) serves red meat, 1.7 (1.35 – 2.6) serves nuts and seeds, or 13.4 (9.4 – 19.5) serves vegetables on their respective feeding days. The three feeding days provided clearly identifiable clusters when assessing the overall metabolic profile, both in terms of what was measured on the feeding days, and the difference in metabolite concentrations between standardisation day and feeding day. The relative correlations between self-reported intakes and individual metabolite concentrations reflecting specific foods or food groups with the known dietary intakes from feeding days will be presented first at the conference.

The adoption of dietary patterns emphasising higher intakes of plant foods and lower intakes of animal foods (plant-based diets, PBDs), continue to rise worldwide. PBDs have been associated with a lower risk of cardiovascular morbidity and mortality as well as major risk factors such as overweight/obesity and type 2 diabetes. Evidence regarding the dietary profile and disease risk associated with various PBDs in comparison to traditional meat-eating diets are scarce within the Australian population. The aim of this study is to investigate the 5-year and 10-year risk of developing cardiovascular disease (CVD) among Australians habitually following various PBDs compared to a regular meat diet (RMD). The Plant-based Diet (PBD) Study is a cross-sectional study consisting of healthy adults between aged 30-75 years from the Hunter Region (NSW) between 2021-2023. A validated FFQ was used to assess eligibility and categorise individuals who were habitually consuming one of five dietary patterns for at least 6 months into the following groups: vegan (nil animal products), lacto-vegetarian (LOV, including eggs and dairy), pesco-vegetarian (PV, including seafood with/without dairy and eggs), semi-vegetarian (SV, minimal consumption of animal products) or RMDs (including animal meat daily or multiple times/day)(1). 5-year and 10-year CVD risk was quantified using the Framingham Risk Equation(2) and the Australian Absolute CVD risk calculator, respectively. CVD risk and other quantitative measures was compared using One-way ANOVA or Kruskal Wallis, and Chi-square or Fisher’s Exact for qualitative data. Directed acyclic graphs displayed confounding variables and mediators and a regression model was used to adjust for these. A total of 240 participants (median age 55(16), 77.5% female) with 48 participants in each group showed a significant difference in predicted 5-year risk of CVD (P<0.05), however 10-year risk did not significantly differ across groups. 5-year CVD risk was significantly lower in the vegan group (1%) compared to the RMD, SV, PV, and LOV diet groups (all 2%). In comparison to a vegan diet, crude association showed those consuming a RMD had a 2.4% (95% CI 0.7, 4.1) higher 5-year risk of developing CVD, followed by 1.7% in LOV (95% CI 0.6, 2.9), 1.8% in PV (95% CI 0.5, 3), and 1.1% in SV (95% CI 0.2, 2.1). Significance was lost after adjusting for confounders such as age, gender, smoking status, alcohol intake, physical activity levels and BMI. This is the first study to purposefully sample Australians habitually following PBD, presenting novel population-based evidence for CVD risk. These findings suggest more restrictive PBDs such as vegan diets when compared to RMD may lead to lower CVD risk, however population-based longitudinal studies primary investigating the development of CVDs in the context of PBDs are warranted.

Primary school aged children (aged 4-12 years) in Australia consume approximately 40% of daily energy from energy-dense, nutrient poor foods and fewer than 5% meet the recommended guidelines for vegetables and fruit (ABS 2018). Poor eating habits in children can track into adulthood increasing the risk of non-communicable diseases later in life (Nicklaus 2013). Children spend a large amount of time at school where they are provided with social contexts which influence behaviour development (FAO, 2022) and thus are ideal settings for teaching children about food and nutrition (FAO, 2022; WHO 2017). This pilot study was designed in response to a call to action from a local primary school in southeast Melbourne facing disadvantage. Anecdotally, the school reported poor food literacy with many students bringing unhealthy lunches. The school asked us to design, pilot, and evaluate a student education program enabling healthier lunches among these children. The aim of the study was to explore the effectiveness of a 4-week food and nutrition education program delivered to grade 4 students within a disadvantaged area targeting, children’s food-related knowledge, behaviours and self-efficacy (confidence) to pack a healthy lunch. The program delivered weekly 1-hour interactive sessions over four weeks (October-November 2022). Topics included healthy eating, designing healthy lunches and food safety and were delivered using interactive games, activities, quizzes and food tasting. Students completed an online survey measuring their knowledge, self-efficacy and behaviour (e.g. foods packed in their lunchbox) pre- and post- program. A comparative analysis of the pre- and post-survey responses was performed using McNemar Tests in SPSS version 29.0. Sixty students completed both the pre- and post-surveys. A significant increase (p<0.001) in knowledge of recommended daily serves of fruit (pre 43%, post 80%) and vegetables (pre 17%, post 54%) was observed. There was also a significant (p<0.001) increase in student’s ability to identify ‘sometimes food’. No changes were observed in identification of ‘everyday food’, sources of protein and sources of dairy food or safety knowledge. Children’s confidence to make healthy food swaps significantly increased from pre- to post- program (27%45%, p = 0.035). We observed significant increases in children’s food and nutrition related knowledge for some topics and confidence to make healthy food swaps following completion of the program. A program of longer duration may be beneficial to observe additional improvements in knowledge as well as behaviour change, including foods packed in school lunches.

Osteoporosis is a degenerative disease of the bone. The rate of bone loss is accelerated during the first postmenopausal years in women which results in their disproportionate prevalence of osteoporosis(2). Some of the factors contributing to the development and maintenance of bone mineral density (BMD) relate to diet, particularly the intake of protein, calcium and other micronutrients that play a crucial role in bone composition(3). The most common method of measuring BMD is dual-energy X-ray absorptiometry (DXA) which generates a two-dimensional image of the scan site (typically spine, hip and/or forearm) to determine areal BMD (aBMD). However, new methods have recently emerged, including High Resolution peripheral Quantitative Computed Tomography (HRpQCT), that offer more accurate three-dimensional measurements of volumetric BMD (vBMD) and microstructure of distal tibia and radius(4). The aim of this study was to examine the differences in the dietary intake of nutrients that represent organic or inorganic components of the bone, in early postmenopausal women with different spine aBMD and tibia and radius vBMD levels. One hundred and fourteen healthy early postmenopausal women with a lumbar spine or total hip BMD T score > −2.5 (measured by DXA) were recruited as part of a larger interventional study. Dietary intake was recorded using a 297-point self-reported validated food frequency questionnaire(5) for assessing the intake of energy, macro and micronutrients. Physical activity was self-reported using the validated Active Australia Questionnaire. Years since menopause were self-reported. DXA and HRpQCT scans measured L1-L4 spine, proximal femur aBMD, and distal tibia and radius vBMD respectively. Non-parametric statistical tests examined differences in dietary intake and physical activity levels between women at different levels of aBMD and vBMD. Data reported as median and interquartile ranges. There were no significant differences observed in the total sample between tertiles of aBMD and vBMD, regarding nutrient intake. However, for women with less than 3 years since menopause (i.e., the time-period of accelerated bone loss), lower dietary intakes of energy [8,658(3,324) vs 10,068(3,688) kJ/day; p = 0.047], protein [94(29) vs 103(32) g/day; (p = 0.044)], sodium [1,927(992) vs 2,625(2,185) mg/d; (p = 0.044)], potassium [4,064(1,373) vs 5,121(2,377) mg/d; (p = 0.041)], calcium [969(325) vs 1,214(652) mg/d; (p = 0.028)] and zinc [10(3) vs 12(4) mg/d; (p = 0.005)] were observed for women with osteopenia (−1< L1-L4 aBMD T-score <2.5) compared to those with normal L1-L4 aBMD (i.e., T-score > −1). No significant differences were observed for women with more than 3 years since menopause, with the only exception of alcohol intake (p = 0.033), which was found to be lower in women with osteopenia compared to those with normal aBMD. These findings highlight the importance of targeting osteopenic women within the first 3 years following menopause as candidates for tailored dietary intervention programs for preventing osteoporosis.

People with polycystic ovary syndrome (PCOS) have higher weight gain and psychological distress compared to those without PCOS(1). While COVID-19 restrictions led to population level adverse changes in lifestyle, weight gain and psychological distress(2), their impact on people with PCOS is unclear. The aim of this study was to investigate the impact the 2020 COVID-19 restrictions had on weight, physical activity, diet and psychological distress for Australians with PCOS. Australian reproductive-aged women participated in an online survey with assessment of weight, physical activity, diet and psychological distress. Multivariable logistic and linear regression were used to examine associations between PCOS and residential location with health outcomes. On adjusted analysis, those with PCOS gained more weight (2.9%; 95% CI; 0.027–3.020; p = 0.046), were less likely to meet physical activity recommendations (OR 0.50; 95% CI; 0.32–0.79; p = 0.003) and had higher sugar-sweetened beverage intake (OR 1.74; 95% CI 1.10–2.75; p = 0.019) but no differences in psychological distress compared to women without PCOS. People with PCOS were more adversely affected by COVID-19 restrictions, which may worsen their clinical features and disease burden. Additional health care support may be necessary to assist people with PCOS to meet dietary and physical activity recommendations.

Folic acid (FA) and iodine supplements are recommended by the Ministry of Health (MOH) for pregnant and/or lactating women in New Zealand (NZ)(1). Evidence suggests that many NZ women are not just taking FA and iodine in the form of a single-nutrient supplement (SNS) but are taking FA and iodine as part of a multivitamin supplement (MVS) which may or may not contain the recommended doses, and some are using a combination of both(2). No NZ study has examined the daily dose taken from both SNS and MVS for both FA and iodine across all time periods (2, 3). The aim of this study was to investigate what nutritional supplements containing FA and iodine were taken by postpartum NZ women, preconception, during the three trimesters of pregnancy and post-partum, and examine how well the women’s supplement use aligned with the NZ MOH recommendations. This cross-sectional observational study utilised data gathered on FA and iodine supplement use from an anonymous survey between February and August 2022. Descriptive statistics including frequency and percentages were reported. Folic acid and iodine weekly intakes from SNS and MVS were calculated by multiplying the amount of nutrient in each supplement, with the number of times per day taken, and the average number of days taken per week reported. A total of 584 women were included in the analysis. In addition to the SNS for FA (0.8mg and 5mg) and iodine (150 ug), women took 28 different MVS. Fifty-eight percent (preconception; 30% from SNS, 18% from MVS, and 10% from both) and 96% (1st trimester pregnancy; 61% from SNS, 17% from MVS, and 19% from both) of women took FA containing supplements. More than 75% of women reported taking iodine containing supplements during pregnancy (1st and 2nd trimesters: 93%, 3rd trimester: 89%) and postpartum (76%).Approximately 60% took SNS, 18% took only MVS and 14% took both. Based on the MOH recommendations, only 30% (preconception) and 62% (1st trimester) achieved sufficiency of FA supplementation at 0.8mg/day; 35% (preconception) and 69% (1st trimester) achieved sufficiency of FA at 5mg/day; around 50% women achieved sufficiency of iodine supplementation at 150 µg/day during pregnancy while only 37% during postpartum. The balance either took none, an insufficient dose or a dose that exceeded the recommended dose and many took them during non-recommended periods (FA after the 1st trimester; iodine preconception). Most women reported taking FA and/or iodine containing supplements at some point before, during and after their pregnancy. However, it is concerning that a large number of women do not seem to be adhering to the MOH recommendations for FA and iodine supplementation.

Patients with inflammatory bowel disease (IBD) have higher risk of developing cardiometabolic diseases due to chronic gut and systemic inflammation which promotes atherogenesis. Adopting healthy lifestyle habits can prevent development of cardiometabolic diseases, but can be challenging for people with IBD. The IBD exercise and diet (IBDeat) habits study describes the lifestyle habits and cardiometabolic disease risk factors of adults with IBD in Aotearoa, New Zealand (NZ).

This is a cross-sectional study including adult NZ IBD patients recruited online via Crohn’s and Colitis NZ and Dunedin hospital from 2021 to 2022. An online questionnaire collected demographics, smoking status, comorbidities, medications, disease severity scores, quality of life, physical activity, and dietary intake. The Dunedin cohort had physical measurements taken including anthropometrics, handgrip strength, blood pressure, body composition (bioelectrical impedance), blood nutritional markers, and faecal calprotectin. Data were compared to established reference values and linear regression analysis investigated associations between lifestyle habits and cardiometabolic risk factors. The study received University of Otago ethical approval (reference: H21/135). A total of 213 adults with IBD (54% Crohn’s disease; 46% ulcerative colitis) completed the online questionnaire and a subset of 102 from Dunedin provided physical measurements. Participants characteristics were: median age 37 (IQR 25, 51) years, 71% female, 82% NZ European, 4% smokers, and 1.4% had active IBD. Thirty-five percent of participants had at least one comorbidity and 34% of participants had poor quality of life. Known dietary risk factors associated with cardiometabolic diseases were common: low intakes of vegetables (77%), fruit (51%), fibre (35%) and high intakes of total fat (84%) and saturated fat (98%). Physical activity recommendations were met by 61% of participants and 63% reported barriers to being more active from fatigue (63%) and joint pain (54%). Other cardiometabolic risk factors were common in the Dunedin cohort: high LDL (79%) and total cholesterol (76%), central adiposity (64%), high body fat percentage (44%), high blood pressure (26%), and low handgrip strength (25%). Regression analysis showed that vegetable (per serve) and carbohydrate (per 5% of total daily energy intake (TE)) were associated with 0.22 mmol/L (95%CI 0.43, 0.013) and 0.20 mmol/L (95%CI 0.34, 0.057) lower LDL cholesterol. Discretionary food items were associated with higher LDL cholesterol, 0.11 mmol/L per daily serve (95%CI 0.028, 0.19). A 5% difference in TE intake from carbohydrate was associated with 1.11% (95%CI 2.22%, 0.0038%) lower body fat percentage while protein was associated with 3.1% (95%CI 0.81%, 5.39%) higher body fat percentage. Physical activity had weak associations with cardiometabolic disease risk factors. Adults with IBD have multiple modifiable risk factors for cardiometabolic diseases. Vegetable and carbohydrate intake were associated with lower LDL cholesterol concentration while discretionary food items showed otherwise. Protein intake was associated with higher body fat percentage.

Food environments surrounding secondary schools are a known influence on the purchasing and consumption habits of adolescents(1). Understanding their obesogenic potential is important for informing strategies to create more healthful food environments for adolescents, particularly for those living in regional areas, and is a key component of Australia’s National Obesity Strategy(2). This repeated cross-sectional study examined the food environment surrounding secondary schools in regional and metropolitan New South Wales from 2007-2023. Google Street View was used to collect data regarding food outlets within a walkable distance (1.6 km) of all secondary schools in Wagga Wagga and Blacktown, our regional and metropolitan case study areas respectively, over 17 years. A Food Environment Score(3) tool was used to characterise the healthfulness of food environments by categorising food outlets into Food Outlet Type categories (e.g. Cafés, Fast-Food Franchises, Restaurants etc.) and Healthfulness categories (“Healthful”, “Less Healthful”, “Unhealthful”). Descriptive statistics were used to characterise changes in the food environments by Food Outlet Type and Healthfulness categories from 2007-2023. Chi-Squared tests were used to determine any significant differences in the proportion of healthful, less healthful and unhealthful food outlets between the regional and metropolitan study areas and between 2007 and 2023 in both areas. In both Wagga Wagga and Blacktown, the most common food outlet types surrounding secondary schools from 2007-2023 were classified as less healthful or unhealthful. As of 2023, less healthful food outlets [restaurants (19.4%), cafes (16.8%)] and unhealthful food outlets [fast-food franchises (15.1%), independent takeaway (14.1%)] were the most common food outlet types in Wagga Wagga, making up 52% and 36% of all identified food outlets respectively. These outlet types have remained the most prevalent over the 17-year period, though restaurants and cafes have since surpassed fast-food franchises and independent takeaway stores, by proportion, which were the most common in 2007. Similarly in Blacktown, 2023, less healthful [restaurants (21.1%), cafés (11.1%)] and unhealthful [fast-food franchises (17.4%)] were the most common food outlets, making up 41% and 37% of all identified food outlets. Restaurants, cafés and fast-food franchise outlets were consistently observed to be the most prevalent in Blacktown food environments over the 17-year study period. No significant difference was found when comparing the healthfulness profiles of regional and metropolitan food environments nor were significant changes observed between 2007 and 2023 in Wagga Wagga and Blacktown (p > 0.05 for all). The prevailing high proportion of less healthful and unhealthful food outlets near secondary schools in regional and metropolitan areas upholds the need for public health policies and planning strategies to address the obesogenic potential of school food environments.