Australian Dietary Guidelines Research Articles

Extent of alignment between the Australian Dietary Guidelines and the NOVA classification system across the Australian packaged food supply.

The Australian Dietary Guidelines are currently being revised and ultra-processed foods have been identified as a high priority action area. To better understand how well the current Dietary Guidelines align with level of processing classifications, the aim of this study was to assess the alignment between the Australian Dietary Guidelines and the NOVA classification system for classifying the healthiness of packaged foods. Data were sourced from the Australian FoodSwitch dataset, which included 28 071 packaged food and beverage products available in major Australian supermarkets in 2022. Products were classified as (i) core or discretionary (Australian Dietary Guidelines) and (ii) non-ultra-processed or ultra-processed (NOVA). Agreement between the two systems (core vs. non-ultra-processed and discretionary vs. ultra-processed) was evaluated using the kappa statistic. There was 'moderate' agreement (κ = 0.41, 95% CI: 0.40-0.42) between the Australian Dietary Guidelines and the NOVA system, with 69.8% of products aligned across the two systems. Alignment was more common for discretionary foods (80.6% were ultra-processed) than core foods (59.9% aligned were not-ultra-processed). Food categories exhibiting the strongest levels of alignment included confectionary, foods for specific dietary use, and egg and egg products. Discordance was most common for convenience foods, sugars, honey and related products, and cereal and grain products. Despite moderate alignment between the Australian Dietary Guidelines and NOVA, the discordance observed for almost one-third of products highlights the opportunity to develop recommendations for ultra-processed foods within the guidelines to advise Australians how these foods should be considered as part of a healthy diet.

Adherence to dietary guidelines and associated factors among rural Australian cancer survivors: a cross-sectional study

PurposeThis study aimed to explore levels of adherence to dietary guidelines, and factors associated with dietary guideline adherence, among rural Australian cancer survivors.MethodsA cross-sectional study was undertaken. We recruited a convenience sample of adults with cancer who attended the chemotherapy day unit or allied health appointments at a rural hospital in Baw Baw Shire, Victoria, Australia, between August 2017 and December 2021. Dietary guideline adherence was assessed by cross-referencing participants’ responses to an adapted version of the Dietary Questionnaire for Epidemiological Studies with dietary recommendations in Australian dietary guidelines. Binary logistic regression was used to assess factors associated with dietary guideline adherence for fruits and whole red meats.ResultsThere were 107 rural cancer survivors (median age, 67 years). Dietary guideline adherence was highest for alcohol (88%) followed by whole red meats (63%), fruits (56%), processed red meats (24%), cereals/breads/grains (7%), and vegetables (4%). Relative to those aged < 65 years, 65–74-year-olds had 5.7-fold greater odds (adjusted odds ratio (aOR) = 5.74, 95% confidence interval (CI) = 1.91–17.17) of adhering to the dietary guideline for fruits. Relative to those who had completed/ceased treatment, participants who were currently receiving treatment had 78% lower odds (aOR = 0.22, 95% CI = 0.09–0.59) of adhering to the dietary guideline for fruits.ConclusionThis study contributes preliminary data on adherence to dietary guidelines and associated factors among rural Australian cancer survivors. Dietary guideline adherence varied across food groups and was mostly low, albeit not markedly worse than Australia’s national population for the fruits and vegetables groups. The mostly low adherence in our sample suggests a potential need to increase provision of dietary information, supportive care screening, and, wherever necessary, dietetics referrals, assessments, and interventions among rural cancer survivors. Larger, longitudinal studies of adherence to dietary guidelines and/or tailored, cancer-specific dietary recommendations should be undertaken in future.

Using the Australian Dietary Guidelines 2&5 education message in supermarket shopping trolleys to nudge shoppers to purchase more fruit and vegetables: A feasibility study using an intervention design.

Fruit and vegetable (F&V) consumption is associated with a reduced risk of developing chronic diseases; however, only one in 16 Australian adults consume F&Vs at the recommended two servings of fruit and five servings of vegetables per day. What and how much people eat is influenced by their social and physical environments. Supermarkets are a key setting influencing food purchases, and as such, they can shape consumption patterns of F&Vs. Implementing effective strategies to increase F&V intake is crucial. The objective of this research was to test the feasibility of modifying shopper purchasing behaviour to purchase more F&Vs using the Australian Dietary Guidelines 2&5 education message covering one-half of the base of shopping trolleys. Placards giving the message that eating 2 fruits and 5 vegetables every day for good health were placed at the base of shopping trolleys as an educational nudge. Applying an intervention research design, 30 out of ~100 trolleys were fitted with the placards and shopper purchases were measured by collecting paper sales receipts to measure the weight (kg), total spending and F&V-specific spending (Australian dollars) for intervention versus control trolleys for one Saturday. We also conducted a short intercept survey that was administered independently from the research study day on non-trial shoppers. Shoppers who selected trolleys with the 2&5 education nudge placards (n = 101) purchased 1.66 kg less weight of F&Vs (Intervention: mean = 3.89 kg, SD = 3.40 kg, 95% CI = 3.21 kg, 4.56 kg, vs. Control: mean 5.55 kg, SD = 4.16 kg, 95% CI = 4.73 kg, 6.37 kg, p = 0.002) and spent less on F&Vs compared to shoppers in the control group (n = 102; Intervention: mean = $26.00, SD = $21.60, 95% CI = $21.78, $30.32 vs. Control: mean $36.00, SD = $27.00, 95% CI = $30.72, $42.36, p = 0.004). Intervention group shoppers also spent less in total spending between groups (Intervention: mean = $115.40, SD = $68.30, 95% CI = $101.95, $128.95 vs. Control: mean $151.30, SD = $79.40, 95% CI = $135.73, $166.93, p = 0.001). The 2&5 education nudge placard had the opposite effect as intended on shoppers' purchases to buy more F&Vs, although there may have been other differences between the intervention and the control groups since they were not randomised. Larger studies are required to elucidate and confirm these findings over the longer term.

Development of a Tool for Reporting Key Dietary Indicators from Sales Data in Remote Australian Aboriginal and Torres Strait Islander Community Stores.

Reporting key dietary indicators from sales data can help us guide store decision makers in developing effective store policy to support healthier customer purchases. We aimed to develop a web-based reporting tool of key dietary indicators from sales data to support health-promoting policy and practice in stores in geographically remote Aboriginal and Torres Strait Islander communities. Tool development included identifying key dietary indicators (informed by sales data from 31 stores), community consultation (19 Aboriginal and Torres Strait Islander store directors and two store managers) and a web-build. Tool evaluation involved feedback interviews with stakeholders (25 store managers and two nutritionists). Key dietary indicators aligned with Australian Dietary Guideline food groupings and recommendations. An online portal for accessing and customising reports was built. Stakeholder feedback indicated that the strengths of the reports were the visuals, ease of interpretation, providing information that was not currently available and potential to increase capacity to support healthy food retailing. Difficulties were defining healthiness classification with alignment to other nutrition guidelines used and ensuring reports reached relevant store decision makers. This tool may be valuable to support store decision makers in identifying and prioritising nutrition issues and optimising the health-enabling attributes of stores.

Perceived food intolerances and its impact on diet quality in patients with an ileoanal pouch

Restorative proctocolectomy with ileal pouch-anal anastomosis is the surgical treatment of choice for patients with medically-refractory ulcerative colitis (UC) and familial adenomatous polyposis (FAP). Whilst quality of life is generally good, as many as 83% of patients associate dietary factors with the onset of symptoms(1) and around two-thirds employ some form of dietary restriction post-pouch creation(2,3). There is growing interest to understand the role of diet (as a whole) on pouch function and how it can be used therapeutically. It is imperative that we know the dietary characteristics of pouch patients before attempting to introduce strategies altering their food choice. Since there is good rationale to assess overall diet quality to identify potential avenues for targeting dietary strategies, this study aimed to examine the frequency of perceived food intolerances and diet quality in patients with an ileoanal pouch and the relationship between these two indices. In this cross-sectional study, patients with an ileoanal pouch completed a food intolerance questionnaire and a validated 297-item semi-quantitative food frequency questionnaire (Monash Comprehensive Nutritional Assessment Questionnaire). Dietary data was used to score diet quality using the 2013 Dietary Guidelines Index (DGI), a scoring system which compares how closely an individual’s dietary intake aligns with the Australian Dietary Guidelines (ADG). The DGI also comprises of 11 subcomponents (scored out of 10 respectively) based on each of the ADG guidelines and provides a total score of 110, with higher scores reflecting greater compliance to the ADG. In order to determine if perceived dietary intolerances was negatively associated with the intake of specific dietary factors, univariable and multivariable linear regression analysis of the correlation of intolerance and diet quality was performed. Of the 58 (10 FAP and 48 UC) patients studied, 81% of UC and 80% of FAP patients reported dietary intolerances. Mean total DGI score was 78 (95% CI: 74-80) of 110 in the overall pouch cohort with no differences across pouch sub-groups. However, only 5% of patients achieved a full score for food variety. Both uni- [OR −0.94 (−1.7,-0.10); p = 0.02] and multivariable analysis (adjusting for age and sex) showed that only intolerances to dairy products were associated with reduced intake of lactose-containing dairy [OR −0.29 (−1.8,-0.08); p=0.03]. No other significant correlations were found for overall or subcomponents of DGI scores. High rates of perceived food intolerances were observed in patients with an ileoanal pouch. However, only those with perceived dairy intolerances restricted their intake of lactose-containing dairy products. Additionally, patients with ileoanal pouch scored highly for overall diet quality but specific gaps in achieving better diet quality, particularly for diet variety were observed. These results provide some starting points for targeted dietary counselling to optimise nutritional health and potentially to improve pouch function these patients.

Nutritional composition of plant-based meat and dairy alternatives: comparison of supermarket products to the Australian Food Composition Database

Consumer interest in plant-based diets has increased, alongside significant growth in the availability of plant-based meat and dairy alternatives in supermarkets(1). The nutritional profile of these products is likely to vary due to the broad range of ingredients used(2). Food composition databases, such as the Australian Food Composition Database (AFCD), are used extensively in research, practice, and policy, including by nutrition and dietetics researchers and health professionals to identify the nutrient content of foods. However, it is unclear if, and to what extent, the AFCD data on plant-based alternatives reflects the current food supply. This study aimed to examine the range and composition of plant-based meat and dairy alternatives available in Australian supermarkets and compare this with the AFCD. Data on core plant-based meat and dairy alternatives were collected from eight Melbourne supermarkets between June and October 2022 using the CSIRO FoodTrackTM database methodology(3). Products were included if they were i) meat or dairy substitutes outlined in the AFCD; or ii) plant-based alternatives for core meat and dairy included in the Australian Dietary Guidelines. Product images were taken, and data was transcribed. Products collected in supermarkets were then ‘matched’ to the most appropriate reference item in the AFCD. In total, 455 meat alternatives (n = 219 legumes/pulses; n = 178 meat substitutes; n = 38 tofu/tempeh; n = 20 sausages) and 249 dairy alternatives (n = 157 milk; n = 52 cheese; n = 40 yoghurt) were identified. Over half of the plant-based meat substitutes (n = 102; 57%) were made from a soy/wheat/pea base protein. Of the dairy alternatives, just over half of the cheese substitutes had coconut as their main ingredient (n = 28; 54%), and almost two-thirds of yoghurts were coconut-based (n = 28; 70%). The majority of the 157 milks were oat-based (n = 57; 37%), followed by almond (n = 45; 29%), and soy (n = 27; 17%). Many supermarket products were not reflected in the AFCD, including over two-thirds of dairy alternatives (n = 159; 67%), and one-third of meat alternatives (n = 150; 33%). This was due to more product options within categories, such as the variety of canned beans/legumes (n = 96) and flavoured milk substitutes (n = 34) available in supermarkets, and a greater variety of main ingredients used, most notably for cheese substitutes (n = 52). This study highlights that the range of plant-based meat and dairy alternatives available in Australian supermarkets is diverse, with many different base ingredients used, and a great range of products available in-store than in the AFCD. Findings highlight the challenges of food composition databases in keeping up to date with the fast-growing plant-based sector. Outcomes from this study have implications for the monitoring of the food supply and population level dietary data.

Nourished@Deakin – can an online cooking program inspire university students to cook and eat healthier?

University students are a unique population subgroup, who experience a life transition into adulthood, often marked by the establishment of unhealthy eating behaviours(1) which are associated with chronic disease risk factors, poor mental health and lower academic achievement(2). Data regarding the food skills/behaviours of university students is limited, but low cooking self- efficacy and food skills are potential barriers to healthy meal preparation(1). Nourished@Deakin is an online cooking program, co-designed by Deakin University students, that aims to inspire students to cook and eat healthier. It commenced in November 2021 and includes a series of blogs, recipes, and cooking videos, available to all Deakin students via a Deakin University blog site. To determine if accessing Nourished@Deakin improves food skill confidence, food intake, and nutrition knowledge, participants completed a short online survey before accessing Nourished@Deakin materials and then again four weeks after their first engagement. The survey included 31 questions regarding confidence related to a variety of food skills (eg. recipe following, reading food labels, meal planning); 2 questions regarding fruit/vegetable intake; 11 knowledge questions regarding the Australian Dietary Guidelines (ADGs); and 16 demographic questions. Pre/post surveys were compared using paired t tests (knowledge scores, fruit/veg serves) or McNemar extact test (proportions). A total of 108 students completed the pre-survey and 41 (mean (SD) age 27.0 (8.4) years; 63% female) also completed the post-survey. Of the 41 participants who completed both surveys, 42% were studying within the Faculty of Health and 16 (39%) were living in the family home with parents. Most (68%) were studying full time and 59% were employed part-time/casually. Three-quarters were domestic students, and 59% were undergraduate students. Following completion of Nourished@Deakin, there was a significant increase in the proportion of participants feeling confident in two of the 31 food skills (namely ‘meal planning’: 44% pre vs 63% post, P&lt;0.05; and ‘growing fruit and/or vegetables at home’: 22% pre vs 44% post, P&lt;0.05). Fruit intake increased from 1.6 serves/day pre-program to 1.9 serves/day post-program (P&lt;0.05), but vegetable intake remained stable (2.5 serves/day pre and 2.6 serves/day post, P = 0.287). Before participating in Nourished@Deakin, 56% of participants correctly reported the recommended daily serves of fruit and 66% correctly reported it for vegetables. The mean ADG knowledge score was 8.2/9 and 49% of participants got all nine questions correct. There were no significant changes in any of the knowledge markers post-program. Over a relatively short period, Nourished@Deakin produced modest improvements in the self-reported confidence in some food skills and self-reported fruit intake. A revised program (incorporating a greater variety of recipes, additional blogs, and new videos) may encourage greater engagement and result in increased confidence and knowledge in other targeted areas.

Parents’ perceptions of the Tasmanian School Lunch Project - interim findings

Most Australian school students take a packed lunch to school(1). However, parents have reported many barriers to packing a healthy lunch(2). Subsequently, foods eaten during school hours are not consistent with the Australian Dietary Guidelines, with discretionary foods providing about 44% of energy consumed during this time(3). In addition, some children go to school without any food for lunch or money to buy lunch. The Tasmanian School Lunch Project provides free nutritious cooked lunches for Kinder to Year 10 students attending 30 government schools (15 commenced 2022, 15 commenced 2023) in areas of high socioeconomic disadvantage. The lunches were provided 1-3 days/week. The menu and recipes were designed by dietitians. This analysis aimed to describe parents’ perceptions of the School Lunch Project during the first year. Six of the 15 schools that commenced in term 2 2022 were invited, and agreed, to participate in the evaluation. During term 3 or 4 2022, parents completed online or written surveys (n = 159) and/or participated in discussion groups (n = 26) to share their thoughts on the menu, their concerns, likes, and willingness to pay. Survey data were analysed descriptively and open-ended survey responses and discussion group data thematically. During 2022, 78,832 nutritious cooked lunches were provided to 1,678 students. Most parents felt there was enough variety on the menu (66%) and the right amount of food was served (69%). Most students (79%) ate the lunches every day they were provided yet 52% of parents continued to provide a packed lunch. Parents enjoyed that their child was having a healthy lunch (66%) and trying new foods (74%). Some parents in the discussion groups indicated positive flow on effects at home with students trying new foods and sitting down together as a family to eat the evening meal. Half the parents (50%) had no concerns about the school providing lunches. The most commonly reported concerns were their child might not like the food (36%) or their child does not try new foods (8.6%). These concerns were also raised in the discussion groups. Most parents (93%) were prepared to pay for the lunches in future (median $3, range $1-$12) and 85% thought there should be a family discount. Parents acknowledged some payment was necessary for the sustainability of the program but some expressed concern for those who may struggle to pay. More direct communication with families about the meals offered, the availability of bread (from term 4 2022) for students who choose not to eat the cooked lunch or want more to eat, and allowing families time to adjust to the new lunch system, may address some of the concerns raised. Further data on parents’ perceptions of the school lunches will be collected during term 3 2023.

Monitoring Australian Foods and Diets

Monitoring the food supply including composition and what people are eating is an important aspect of maintaining public health and safety. The Food Composition Program at Food Standards Australia New Zealand (FSANZ) is responsible for generating, compiling and publishing data on the nutrient content of Australian foods to support FSANZ standards development work and monitoring activities. This work also supports broader Government public health policies and initiatives such as National Nutrition Surveys, Front of Pack labelling and reformulation. Having robust up to date food composition and dietary intake data that represents the current food supply and consumption patterns provides the strong evidence base needed to support FSANZ activities(1). FSANZ has been working with the Australian Bureau of Statistics since 2019 to support their work on the 2023 National Nutrition and Physical Activity Survey (NNPAS)(2). Our role has been to assist in customising the survey instrument Intake24 used to collect the 24-hour recall data from the NNPAS and to generate the datasets required to allow food, dietary supplement and nutrient intakes to be estimated from the survey and enable reporting against the Australian Dietary Guidelines. This presentation will discuss FSANZ role in monitoring foods and healthy diets in Australia, with a particular focus on the methods and tools for generating and reporting data for the 2023 NNPAS.

Short-term impact of a healthy and typical Australian dietary pattern on cardiometabolic outcomes: insights from a randomised, cross-over feeding study

Immune Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, 2305 Australia.Cardiovascular disease (CVD) remains a major cause of global mortality. Poor diet quality, characterised by excessive consumption of energy-dense, nutrient-poor foods and insufficient intake of fruits, vegetables, and whole grains, is associated with an increased risk of CVD(1). This study compares the impact of two short-term dietary interventions, a Healthy Australian Diet adhering to national guidelines and a Typical Australian Diet representing current national consumption patterns, on several cardiometabolic outcomes. These outcomes include body weight, waist circumference (WC), body fat percentage (BFP), blood pressure (BP), fasting blood lipids and glucose concentrations. Data from an eight-week randomised, cross-over feeding study involving 34 adults (53% female, age 38.4 ± 18.1 years) were analysed, with participants randomly assigned to consume each diet for two weeks, separated by a two-week washout period. During each feeding phase, all food items were provided to ensure compliance. The Healthy Australian Diet adhered to the Australian Dietary Guidelines(2), including a balanced intake of the five food groups and meeting Acceptable Macronutrient Distribution Range targets(3), with saturated fat limited to ≤10% of energy. The Typical Australian Diet was formulated based on apparent consumption patterns in Australia(4), setting total fat intake at 40% of energy and total saturated fat at 15% of energy. Comprehensive data collection occurred at four key visits: week 0 (end of run-in; baseline 1), week 2 (post-feeding phase 1), week 4 (end of washout, baseline 2), and week 8 (post-feeding phase 2). Trained personnel measured WC using a tensible tape, while body weight and BFP measurements were obtained using bioimpedance analysis (Inbody 270; Biospace Co, Seoul, Korea). Blood pressure was recorded using the Uscom BP+ supra-systolic oscillometric central blood pressure device. Blood glucose and lipid (triglycerides, total-, low-density lipoprotein- [LDL] and high-density lipoprotein- [HDL] cholesterol) concentrations were measured after a 12-hour fast by an accredited pathology service. Differential changes in cardiometabolic variables between intervention groups were evaluated using linear mixed-effect models, adjusting for diet sequence, feeding phase, and subject ID as a random variable to account for potential autocorrelation. Post-hoc pairwise comparisons were conducted to assess the impact effects of each diet. There were no significant differences between the Healthy Australian Diet and the Typical Australian Diet with respect to weight, BFP, WC, blood triglycerides, systolic and diastolic BP. However, the Healthy Australian Diet led to a significantly greater decrease in total-, LDL-, HDL- and non-HDL cholesterol, and fasting blood glucose relative to the Typical Australian Diet (p&lt;0.001). The results underscore the importance of promoting dietary intakes that align with Australian Dietary Guidelines for optimising the risk of CVD and impaired glucose tolerance. Conversely, the Typical Australian Dietary pattern demonstrated detrimental cardiometabolic effects over a short period of just two weeks.

Comparison of snack characteristics by diet quality: findings from a nationally representative sample of Australian adolescents

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 &lt; 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.

Short-term skin carotenoid changes following consumption of a typical Australian diet versus a healthy Australian diet: findings from a randomised crossover feeding trial

Carotenoids, a group of phytochemicals found in plant-based foods with yellow, red, or orange pigments, have been shown to be stored in the skin upon consumption of carotenoid-rich foods(1). Skin carotenoid levels can be measured using skin reflectance spectroscopy, which assesses skin lightness (L*), redness (a*), and yellowness (b*)(2). Previous research has demonstrated significant increases in skin yellowness (b*) after a 4-week high-carotenoid diet(2). The aim was to examine shorter-term changes (two weeks) in skin yellowness following the consumption of a Healthy Australian Diet rich in carotenoids compared to a Typical Australian Diet with low carotenoid content. The study analysed data from an eight-week randomised, cross-over feeding trial involving 34 adults (53% female, aged 38.44 ± 18.05 years). Participants were randomly assigned to each diet for two weeks, separated by a two-week washout period. The Healthy Australian Diet adhered to the Australian Dietary Guidelines(3), emphasising the consumption of carotenoid-rich fruits and vegetables such as carrots, pumpkin, tomatoes, red capsicum, and sweet potatoes. In contrast, the Typical Australian Diet was formulated based on apparent consumption patterns in Australia(4) and emphasised the intake of fruits and vegetables low in beta-carotene, such as white potatoes, onions, cauliflower, and pears. Skin carotenoids were measured using skin reflectance spectroscopy at three sites (palm, inner and outer arm), and each measurement was taken thrice. Overall skin yellowness (b*) was calculated as the average of all three measurements at all three sites. Measurements were conducted at four key visits: week 0 (end of run-in; baseline 1), week 2 (post-feeding phase 1), week 4 (end of washout; baseline 2), and week 8 (post-feeding phase 2). Differential changes in skin carotenoid levels between intervention groups were assessed using linear mixed-effect models, adjusting for diet sequence, feeding phase, body fat percentage, total fat intake, and subject ID as a random variable to account for potential autocorrelation. Post-hoc pairwise comparisons were conducted to evaluate the relative effects of each diet. Although there was a trend towards higher skin yellowness (0.215 ± 0.517; p = 0.41) following consumption of the Healthy Australian diet relative to baseline, and an inverse trend following the Typical Australian Diet (−0.118 ± 0.539, p = 0.56), the difference in change between the two diets was not statistically significant (p = 0.32). Notably, baseline values within this participant cohort were higher than previously reported at b* = 16.7(1) (baseline 1 b*: 17.57 ± 2.23, baseline 2 b*: 17.71 ± 2.26), which may influence the magnitude of observable change. The findings suggest that the two-week intervention duration may be insufficient to achieve statistically significant changes in skin carotenoid levels. Future investigations into whether plasma carotenoids increase first, with skin changes occurring later, could offer valuable insights into the potential utility of this as a biomarker validation of change in fruit and vegetable intake.

#Fail: the quality and accuracy of nutrition-related information by influential Australian Instagram accounts

BackgroundSocial media is a popular source of information about food and nutrition. There is a high degree of inaccurate and poor-quality nutrition-related information present online. The aim of this study was to evaluate the quality and accuracy of nutrition-related information posted by popular Australian Instagram accounts and examine trends in quality and accuracy based on author, topic, post engagement, account verification and number of followers.MethodsA sample of posts by Australian Instagram accounts with ≥ 100,000 followers who primarily posted about nutrition was collected between September 2020 and September 2021. Posts containing nutrition-related information were evaluated to determine the quality and accuracy of the information. Quality was assessed using the Principles for Health-Related Information on Social Media tool and accuracy was assessed against information contained in the Australian Dietary Guidelines, Practice-based Evidence in Nutrition database, Nutrient Reference Values and Metafact.ResultsA total of 676 posts were evaluated for quality and 510 posts for accuracy, originating from 47 Instagram accounts. Overall, 34.8% of posts were classified as being of poor quality, 59.2% mediocre, 6.1% good and no posts were of excellent quality. A total of 44.7% of posts contained inaccuracies. Posts authored by nutritionists or dietitians were associated with higher quality scores (β, 17.8, CI 13.94–21.65; P < 0.001) and higher accuracy scores (OR 4.69, CI 1.81–12.14, P = 0.001) compared to brands and other accounts. Information about supplements was of lower accuracy (OR 0.23, CI 0.10–0.51, P < 0.001) compared to information about weight loss and other nutrition topics. Engagement tended to be higher for posts of lower quality (β -0.59, P = 0.012), as did engagement rate (β -0.57, P = 0.016). There was no relationship between followers or account verification and information quality or accuracy and no relationship between engagement and accuracy.ConclusionsNutrition-related information published by influential Australian Instagram accounts is often inaccurate and of suboptimal quality. Information about supplements and posts by brand accounts is of the lowest quality and accuracy and information posted by nutritionists and dietitians is of a higher standard. Instagram users are at risk of being misinformed when engaging with Australian Instagram content for information about nutrition.

Practical application of the Crohn's disease exclusion diet as therapy in an adult Australian population.

There is demand from patients and clinicians to use the Crohn's disease exclusion diet (CDED) with or without partial enteral nutrition (PEN). However, the therapeutic efficacy and nutritional adequacy of this therapy are rudimentary in an adult population. This review examines the evidence for the CDED in adults with active luminal Crohn's disease and aims to provide practical guidance on the use of the CDED in Australian adults. A working group of nine inflammatory bowel disease (IBD) dietitians of DECCAN (Dietitians Crohn's and Colitis Australian Network) and an IBD gastroenterologist was established. A literature review was undertaken to examine (1) clinical indications, (2) monitoring, (3) dietary adequacy, (4) guidance for remission phase, and (5) diet reintroduction after therapy. Each diet phase was compared with Australian reference ranges for food groups and micronutrients. CDED with PEN is nutritionally adequate for adults containing sufficient energy and protein and meeting >80% of the recommended daily intake of key micronutrients. An optimal care pathway for the clinical use of the CDED in an adult population was developed with accompanying consensus statements, clinician toolkit, and patient education brochure. Recommendations for weaning from the CDED to the Australian dietary guidelines were developed. The CDED+PEN provides an alternate partial food-based therapy for remission induction of active luminal Crohn's disease in an adult population. The CDED+PEN should be prioritized over CDED alone and prescribed by a specialist IBD dietitian. DECCAN cautions against using the maintenance diet beyond 12weeks until further evidence becomes available.

Achieving high diet quality at eating occasions: findings from a nationally representative study of Australian adults.

This study examined differences in food groups consumed at eating occasions by the level of adherence to dietary guidelines in Australian adults (≤19 years) and whether consumption differed with respect to age, sex and education levels. Secondary analysis of the 2011-2012 National Nutrition and Physical Activity Survey (n 9054) was performed, using one 24-h dietary recall with self-reported eating occasions. Dietary Guideline Index scores were used to assess adherence to the 2013 Australian Dietary Guidelines. Mean differences (95 % CI) in servings of the five food groups and discretionary foods at eating occasions were estimated for adults with higher and lower diet quality, stratified by sex, age group and education. Using survey-based t-tests, differences of at least half a serving with P values <0·05 were considered meaningful. Compared with adults with lower diet quality, women and men aged 19-50 years with higher diet quality consumed more serves of vegetables at dinner (mean difference (95 % CI), women; 1·0; 95 % CI (0·7, 1·2); men: 0·9; 95 % CI (0·6, 1·3)) and fewer serves of discretionary foods at snacks (women: -0·7; 95 % CI (-0·9, -0·5); men: -1·0; 95 % CI (-1·4, -0·7). Other food groups, such as grains, dairy products and alternatives, meats and alternatives, were not significantly different between adults with lower and higher diet quality, across any eating occasions and age groups. Discretionary food intake at lunch, dinner and snacks was consistently greater among adults with lower diet quality, regardless of education level. Our findings identify dinner and snacks as opportunities to increase vegetable intake and reduce discretionary food intake, respectively.

Maternal diet quality and associations with plasma lipid profiles and pregnancy-related cardiometabolic health

PurposeTo assess the relationship of early pregnancy maternal diet quality (DQ) with maternal plasma lipids and indicators of cardiometabolic health, including blood pressure (BP), gestational diabetes mellitus (GDM) and gestational weight gain (GWG).MethodsWomen (n = 215) aged 18–40 years with singleton pregnancies were recruited at 10–20 weeks gestation. Diet quality was assessed by the Dietary Guideline Index, calculated at early ([mean ± SD]) (15 ± 3 weeks) and late (35 ± 2 weeks) pregnancy. Lipidomic analysis was performed, and 698 species across 37 lipid classes were measured from plasma blood samples collected at early (15 ± 3 weeks) and mid (27 ± 3 weeks)-pregnancy. Clinical measures (BP, GDM diagnosis, weight) and blood samples were collected across pregnancy. Multiple linear and logistic regression models assessed associations of early pregnancy DQ with plasma lipids at early and mid-pregnancy, BP at three antenatal visits, GDM diagnosis and total GWG.ResultsMaternal DQ scores ([mean ± SD]) decreased significantly from early (70.7 ± 11.4) to late pregnancy (66.5 ± 12.6) (p < 0.0005). At a false discovery rate of 0.2, early pregnancy DQ was significantly associated with 13 plasma lipids at mid-pregnancy, including negative associations with six triglycerides (TGs); TG(54:0)[NL-18:0] (neutral loss), TG(50:1)[NL-14:0], TG(48:0)[NL-18:0], TG(52:1)[NL-18:0], TG(54:1)[NL-18:1], TG(50:0)[NL-18:0]. No statistically significant associations were found between early pregnancy DQ and BP, GDM or GWG.ConclusionMaternal diet did not adhere to Australian Dietary Guidelines. Diet quality was inversely associated with multiple plasma TGs. This study provides novel insights into the relationship between DQ, lipid biomarkers and cardiometabolic health during pregnancy.

Associations between protein to non-protein ratio and intakes of other dietary components in a cohort aged 65-75 years: the Nutrition for Healthy Living Study.

Diets with a low proportion of energy from protein have shown to cause overconsumption of non-protein energy, known as Protein Leverage. Older adults are susceptible to nutritional inadequacy. The aim was to investigate associations between protein to non-protein ratio (P:NP) and intakes of dietary components and assess the nutritional adequacy of individuals aged 65-75 years from the Nutrition for Healthy Living (NHL) Study. Cross-sectional. Nutritional intakes from seven-day weighed food records were compared with the Nutrient Reference Values for Australia and New Zealand, Australian Guide to Healthy Eating, Australian Dietary Guidelines and World Health Organisation Free Sugar Guidelines. Associations between P:NP and intakes of dietary components were assessed through linear regression analyses. NHL Study. 113 participants. Eighty-eight (59 female and 29 male) with plausible dietary data had a median (interquartile range) age of 69 years (67-71), high education level (86 %) and sources of income apart from the age pension (81 %). Substantial proportions had intakes below recommendations for dairy and alternatives (89 %), wholegrain (89 %) and simultaneously exceeded recommendations for discretionary foods (100 %) and saturated fat (92 %). In adjusted analyses, P:NP (per 1 % increment) was associated with lower intakes of energy, saturated fat, free sugar and discretionary foods and higher intakes of vitamin B12, Zn, meat and alternatives, red meat, poultry and wholegrain % (all P < 0·05). Higher P:NP was associated with lower intakes of energy, saturated fat, free sugar and discretionary. Our study revealed substantial nutritional inadequacy in this group of higher socio-economic individuals aged 65-75 years.

A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.

The Australian Dietary Guidelines (ADG) translate the best available evidence in nutrition into food choice recommendations. However, adherence to the ADG is poor in Australia. Given that following a healthy diet can be a potentially cost-effective strategy for lowering the risk of chronic diseases, there is an urgent need to develop novel technologies for individuals to improve their adherence to the ADG. This study describes the development process and design of a prototype mobile app for personalized dietary advice based on the ADG for adults in Australia, with the aim of exploring the usability of the prototype. The goal of the prototype was to provide personalized, evidence-based support for self-managing food choices in real time. The guidelines of the design science paradigm were applied to guide the design, development, and evaluation of a progressive web app using Amazon Web Services Elastic Compute Cloud services via iterations. The food layer of the Nutrition Care Process, the strategies of cognitive behavioral theory, and the ADG were translated into prototype features guided by the Persuasive Systems Design model. A gain-framed approach was adopted to promote positive behavior changes. A cross-modal image-to-recipe retrieval model under an Apache 2.0 license was deployed for dietary assessment. A survey using the Mobile Application Rating Scale and semistructured in-depth interviews were conducted to explore the usability of the prototype through convenience sampling (N=15). The prominent features of the prototype included the use of image-based dietary assessment, food choice tracking with immediate feedback leveraging gamification principles, personal goal setting for food choices, and the provision of recipe ideas and information on the ADG. The overall prototype quality score was "acceptable," with a median of 3.46 (IQR 2.78-3.81) out of 5 points. The median score of the perceived impact of the prototype on healthy eating based on the ADG was 3.83 (IQR 2.75-4.08) out of 5 points. In-depth interviews identified the use of gamification for tracking food choices and innovation in the image-based dietary assessment as the main drivers of the positive user experience of using the prototype. A novel evidence-based prototype mobile app was successfully developed by leveraging a cross-disciplinary collaboration. A detailed description of the development process and design of the prototype enhances its transparency and provides detailed insights into its creation. This study provides a valuable example of the development of a novel, evidence-based app for personalized dietary advice on food choices using recent advancements in computer vision. A revised version of this prototype is currently under development.

Do food-related capabilities, opportunities and motivations of adolescents mediate the association between socioeconomic position in adolescence and diet quality in early adulthood?

BackgroundSocio-economic position (SEP) in adolescence may influence diet quality over the life course. However, knowledge of whether individual and environmental determinants of diet quality mediate the longitudinal association between SEP and diet quality is limited. This study examined whether and to what extent food-related capabilities, opportunities and motivations of adolescents mediated the longitudinal association between SEP in adolescence and diet quality in early adulthood overall and by sex.MethodsLongitudinal data (annual surveys) from 774 adolescents (16.9 years at baseline; 76% female) from ProjectADAPT (T1 (baseline), T2, T3) were used. SEP in adolescence (T1) was operationalized as highest level of parental education and area-level disadvantage (based on postcode). The Capabilities, Opportunities and Motivations for Behaviour (COM-B) model was used as a framework to inform the analysis. Determinants in adolescence (T2) included food-related activities and skills (Capability), home availability of fruit and vegetables (Opportunity) and self-efficacy (Motivation). Diet quality in early adulthood (T3) was calculated using a modified version of the Australian Dietary Guidelines Index based on brief dietary questions on intake of foods from eight food groups. Structural equation modelling was used to estimate the mediating effects of adolescents’ COM-B in associations between adolescent SEP and diet quality in early adulthood overall and by sex. Standardized beta coefficients (β) and robust 95% confidence intervals (CI) were generated, adjusted for confounders (T1 age, sex, diet quality, whether still at school, and living at home) and clustering by school.ResultsThere was evidence of an indirect effect of area-level disadvantage on diet quality via Opportunity (β: 0.021; 95% CI: 0.003 to 0.038), but limited evidence for parental education (β: 0.018; 95% CI: -0.003 to 0.039). Opportunity mediated 60.9% of the association between area-level disadvantage and diet quality. There was no evidence of an indirect effect via Capability or Motivation for either area-level disadvantage or parental education, or in males and females separately.ConclusionsUsing the COM-B model, the home availability of fruit and vegetables (Opportunity) of adolescents explained a large proportion of the association between area-level disadvantage in adolescence and diet quality in early adulthood. Interventions to address poor diet quality among adolescents with a lower SEP should prioritize environmental determinants of diet quality.

Protocol development to study launch: The Australian‐multidomain approach to reduce dementia risk by protecting brain health With lifestyle intervention (AU‐ARROW) study

AbstractBackgroundThe Finnish Geriatric Intervention Study (FINGER) reported that a multidomain lifestyle intervention could provide an effective and accessible means of protecting against age‐related cognitive decline and dementia. This led to the global dementia risk reduction initiative: World‐Wide FINGERS (WW‐FINGERS). As part of WW‐FINGERS, the AU‐ARROW study mirrors aspects of FINGER, as well as the U.S. study (US‐POINTER, also part of WW‐FINGERS), while allowing for Australian cultural and dietary adaptations.MethodAU‐ARROW is a randomised, single‐blind, 2‐year clinical trial, recruiting 600 participants aged 60‐79, who satisfy study‐specific eligibility inclusion/exclusion criteria. Participants will be recruited at (a) Macquarie University, Sydney, NSW and (b) Sarich Neuroscience Research Institute, Edith Cowan University, Perth, WA, and randomised into either the multimodal lifestyle intervention (ML) group or the Health Education and Coaching (HC) group. The ML group will engage in a) aerobic exercise, resistance training and stretching facilitated by local gym memberships, b) monthly telehealth diet monitoring and advice, to encourage MIND diet adherence whilst aligning with Australian Dietary Guidelines, c) online BrainHQ cognitive training sessions, and d) medical monitoring and health education sessions. The HC group will receive occasional health education sessions. All participants receive heart rate trackers, 6‐monthly blood tests, regular health monitoring and clinician advice.ResultAU‐ARROW’s primary outcome measure involves assessment of changes in a global composite cognitive score, measured using neurocognitive tests as in US‐POINTER. Further neurocognitive tests, lifestyle questionnaires, physical function tests, diet and sleep monitoring will determine specific contributions of the various lifestyle changes. Extra value will emanate from Alzheimer’s disease (AD) biomarker analysis of blood and urine samples collected yearly, as well as AD Aβ amyloid‐specific ligand‐PET imaging, brain MRI and retinal biomarker tests at 0 and 24 months. The final AU‐ARROW protocol design and methods will be presented. Initial recruitment data may also be presented.ConclusionThe finalised AU‐ARROW protocol is expected to facilitate study completion and maximise data sources, and allow a) development of an evidence‐based innovative treatment plan to reduce cognitive decline and dementia risk, b) effective transfer of research outcomes into Australian health policy, and c) validation of emerging blood and retinal diagnostic biomarkers in preclinical screening.