The association between diet quality and chrononutritional patterns in young adults.

PURPOSE: Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample. METHODS: Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status. RESULTS: No significant associations between chrononutritional patterns and diet quality were found for all participants (n = 95). However, differences in diet quality were found between university (n = 54) and community (n = 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3, p < 0.001) and discretionary scores (7.9±SE 0.9 vs. 1.6±SE 0.6, p < 0.001) than community participants. University participants consumed predominately healthful dinners and fruit ≥20:00h whereas community participants consumed predominately discretionary foods. CONCLUSION: For the general young adult population, meal timing needs to be considered. Food choices made by this cohort may be poorer during evenings when the desire for energy-dense nutrient-poor foods is stronger. However, meal timing may be less relevant for young adults who already engage in healthy dietary patterns.

Contribution of foods prepared away from home to intakes of energy and nutrients of public health concern in adults: a systematic review.

A 2011 review associated eating out with increased energy intake. Popular outlets, nutrient composition, and menus may have changed since 2011. This study aimed to investigate relative contributions of foods prepared outside of home to total energy, total and saturated fat, sugars, and sodium intakes. Studies were included if they were observational cohort or cross-sectional, investigated the contributions that foods prepared out of home made to energy, nutrient intakes and/or nutrient densities of adults aged 18-64 years, published between 2009 and 2019. Socio-demographic differences were explored. Data were extracted guided by the STROBE Statement for cohort and cross-sectional studies. A descriptive, qualitative synthesis was conducted. Study quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklists for Analytical Cross-sectional and Cohort Studies. Evidence strength was assessed using GRADE. Twenty-six studies were included. Higher consumption of foods purchased outside home increased intakes of energy and nutrients of public health concern, particularly in males and younger adults. Heterogeneity of definitions of foods prepared outside of home made comparison difficult. Studies frequently used self-reported consumption data, prone to misreporting. Foods prepared outside of home are associated with poorer diets. Policy and practice initiatives are required to address this.

The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study.

PURPOSE: This study examined the association of social contexts and food preparation location with the quality of meals and snacks (predominately from the five food groups (FFG) versus discretionary foods) in a sample of young Australian adults (18-30 years old) using wearable camera technology. METHODS: A sub-sample from the cross-sectional MYMeals study wore a wearable camera that captured images every 30 s for three consecutive days. Eating episodes from 133 participants (55% female) were classified across 4 domains: food quality (observed proportion of FFG and discretionary items), preparation location, social interaction, and screen use. Socio-economic status (SES) was assigned using residential postcode and gender self-reported. Associations of contexts and demographic factors with food quality stratified by meal type were determined using mixed binary logistic regression models. RESULTS: Of the 1840 eating episodes identified, 1775 were included in analysis (n = 8 preparation location and n = 57 food components that could not be identified were excluded). Food prepared at home was more likely to be from the FFG at lunch (OR = 4.8 95% CI 2.7-8.6), dinner (OR = 14.8 95% CI 7.6-28.6), and snacks (OR = 3.2 95% CI 2.2-4.8). Participants from higher SES areas were more likely to consume breakfasts (OR = 3.2 95% CI 1.4-7.4) and lunches (OR = 1.9 95% CI 1.0-3.7) predominately from the FFG. Females were more likely to consume lunches (OR = 2.0 95% CI 1.1-3.8) that was largely from the FFG. Social interaction and screen use were not associated with meal or snack quality. CONCLUSION: Wearable cameras have verified the importance of addressing meals and snacks prepared outside of home as an important contributor of discretionary food.

Changes in nutrition content and health claims post-implementation of regulation in Australia.

OBJECTIVE: To determine whether there were changes in the prevalence or healthiness of products carrying claims post-implementation of Standard 1.2.7: Nutrition, Health and Related Claims in the Australia New Zealand Food Standards Code. DESIGN: Observational survey of claims on food packages in three categories: non-alcoholic beverages, breakfast cereals and cereal bars. Nutrient profiling was applied to products to determine their eligibility to carry health claims under Standard 1.2.7. The Standard came into effect in 2013. The proportion of products carrying claims and the proportion of those not meeting the nutrient profiling criteria were calculated. A comparative analysis was conducted to determine changes between 2011 and 2016. SETTING: Three large metropolitan stores from the three major supermarket chains in Sydney, Australia were surveyed in 2011 and 2016. PARTICIPANTS: All claims on all available products in 2016 (n 1737). Nutrition composition and ingredients were collected from the packaging. RESULTS: Overall in 2016, 76 % of products carried claims and there were 7367 claims identified in the three food categories. Of products in 2016 with health claims, 34 % did not meet nutrient profiling criteria. These may breach Standard 1.2.7. Comparison of 2011-2016 showed a significant increase in the number of products carrying claims (66 v. 76 %, P < 0·001). CONCLUSIONS: The proportion of products carrying claims that do not meet nutrient profiling and consumers' tendency to infer health benefits from nutrition content claims warrants the regulation of all claims using the nutrient profiling. This will ensure consumers are not misled by claims on unhealthy food products.

Nutrient composition of Australian fast-food and fast-casual children's meals available in 2016 and changes in fast-food meals between 2010 and 2016.

OBJECTIVE: A quarter of Australian children are overweight or obese. Research conducted in 2010 found that fast-food children's meals were energy-dense and nutrient-poor. Since then, menu labelling and self-regulation of marketing have been introduced in Australia. The present study aimed to: (i) investigate the nutrient composition of children's meals offered at fast-food chains; (ii) compare these with children's daily requirements and recommendations and the food industry's own criteria for healthier children's meals; and (iii) determine whether results have changed since last investigated in 2010. DESIGN: An audit of nutrition information for fast-food children's meals was conducted. Meals were compared with 30 % (recommended contribution for a meal) and 100 % of children's daily recommendations and requirements. A comparative analysis was conducted to determine if the proportion of meals that exceeded meal requirements and recommendations, and compliance with the food industry's own criteria, changed between 2010 and 2016. SETTING: Large Australian fast-food chains. PARTICIPANTS: All possible children's meal combinations. RESULTS: Overall, 289 children's meals were included. Most exceeded 30 % of daily recommendations and requirements for a 4-year-old's energy, saturated fat, sugars and Na. Results were also substantial for 8- and 13-year-olds, particularly for Na. When compared with mean energy and nutrient contents from 2010, there were minimal changes overall. CONCLUSIONS: Children's meals can provide excess energy, saturated fat, sugar and Na to children's diets. Systematic reformulation of energy, saturated fat, sugars and Na would improve the nutrient composition of the meals.

How effective is food industry self-substantiation of food-health relationships underpinning health claims on food labels in Australia?

OBJECTIVE: The Food Standards Code regulates health claims on Australian food labels. General-level health claims highlight food-health relationships, e.g. 'contains calcium for strong bones'. Food companies making claims must notify Food Standards Australia New Zealand (FSANZ) and certify that a systematic literature review (SLR) substantiating the food-health relationship has been conducted. There is no pre- or post-notification assessment of the SLR, potentially enabling the food industry to make claims based on poor-quality research. The present study assessed the rigour of self-substantiation. DESIGN: Food-health relationships notified to FSANZ were monitored monthly between 2013 and 2017. These relationships were assessed by scoping published literature. Where evidence was equivocal/insufficient, the relevant government food regulatory agency was asked to investigate. If not investigated, or the response was unsatisfactory, the project team conducted an independent SLR which was provided to the government agency. SETTING: Australia.ParticipantsSelf-substantiated food-health relationships. RESULTS: There were sixty-seven relationships notified by thirty-eight food companies. Of these, thirty-three relationships (52 %) from twenty companies were deemed to have sufficient published evidence. Four were excluded as they originated in New Zealand. Three relationships were removed before investigations were initiated. The project initiated twenty-seven food-health relationship investigations. Another six relationships were withdrawn, and three relationships were awaiting government assessment. CONCLUSIONS: To ensure that SLR underpinning food-health relationships are rigorous and reduce regulatory enforcement burden, pre-market approval of food-health relationships should be introduced. This will increase consumer and public health confidence in the regulatory process and prevent potentially misleading general-level health claims on food labels.

Monitoring the changes to the nutrient composition of fast foods following the introduction of menu labelling in New South Wales, Australia: an observational study.

OBJECTIVE: The present study examined the energy (kilojoule) content of Australian fast-food menu items over seven years, before and after introduction of menu board labelling, to determine the impact of the introduction of the legislation. DESIGN: Analysis of the median energy contents per serving and per 100g of fast-food menu items. Change in energy content of menu items across the years surveyed and differences in energy content of standard and limited-time only menu items were analysed. SETTING: Five of Australia's largest fast food chains: Hungry Jack's, KFC, McDonald's, Oporto and Red Rooster. SUBJECTS: All standard and limited-time only menu items available at each fast-food chain, collected annually for seven years, 2009-2015. RESULTS: Although some fast-food chains/menu item categories had significant increases in the energy contents of their menus at some time points during the 7-year period, overall there were no significant or systematic decreases in energy following the introduction of menu labelling (P=0·19 by +17 kJ/100 g, P=0·83 by +8 kJ/serving). Limited-time only items were significantly higher in median energy content per 100 g than standard menu items (+74 kJ/100 g, P=0·002). CONCLUSIONS: While reformulation across the entire Australian fast-food supply has the potential to positively influence population nutrient intake, the introduction of menu labelling legislation in New South Wales, Australia did not lead to reduced energy contents across the five fast-food chains. To encourage widespread reformulation by the fast-food industry and enhance the impact of labelling legislation, the government should work with industry to set targets for reformulation of nutrient content.

A comparison of the Health Star Rating system when used for restaurant fast foods and packaged foods.

BACKGROUND: In June 2014, the Australian government agreed to the voluntary implementation of an interpretive 'Health Star Rating' (HSR) front-of-pack labelling system for packaged foods. The aim of the system is to make it easier for consumers to compare the healthiness of products based on number of stars. With many Australians consuming fast food there is a strong rationale for extending the HSR system to include fast food items. OBJECTIVE: To examine the performance of the HSR system when applied to fast foods. DESIGN: Nutrient content data for fast food menu items were collected from the websites of 13 large Australian fast-food chains. The HSR was calculated for each menu item. Statistics describing HSR values for fast foods were calculated and compared to results for comparable packaged foods. RESULTS: Data for 1529 fast food products were compared to data for 3810 packaged food products across 16 of 17 fast food product categories. The mean HSR for the fast foods was 2.5 and ranged from 0.5 to 5.0 and corresponding values for the comparator packaged foods were 2.6 and 0.5 to 5.0. Visual inspection of the data showed broadly comparable distributions of HSR values across the fast food and the packaged food categories, although statistically significant differences were apparent for seven categories (all p < 0.04). In some cases these differences reflected the large sample size and the power to detect small variations across fast foods and packaged food, and in others it appeared to reflect primarily differences in the mix of product types within a category. CONCLUSIONS: These data support the idea that the HSR system could be extended to Australian fast foods. There are likely to be significant benefits to the community from the use of a single standardised signposting system for healthiness across all fresh, packaged and restaurant foods.

Falling through the cracks: How do policies for alcohol marketing apply to zero alcohol products in Australia?

ISSUES: There is a decline in youth drinking, but also a causal link between alcohol marketing and drinking among young people. Therefore, novel alcohol marketing strategies should be scrutinised, particularly where children are exposed. This includes marketing for zero-alcohol products (ZAP) (containing 0.00% to 1.15% alcohol by volume), which has expanded considerably in recent times. This review examines how the current industry-managed regulatory approach to alcohol marketing applies to ZAPs in Western Australia. APPROACH: The marketing mix (four Ps of marketing: product, promotion, place, price) was used as a framework to examine federal and state government policies and industry managed codes. Policies were included if they applied to marketing of alcohol products, for example, product labelling, promotion and advertising across various media, the place of purchase and pricing measures (taxation). KEY FINDINGS: ZAPs were inconsistently defined, meaning that products between 0.05% and 1.15% alcohol by volume were covered under some but not all alcohol policy measures, and application to products under 0.5% alcohol by volume was limited. IMPLICATIONS: Government policy should more clearly define alcohol marketing and whether ZAPs and other alcohol brand extensions should be treated in the same way as alcoholic products. CONCLUSION: In Western Australia, the ways in which alcohol policy measures apply to ZAPs are limited and close attention must be paid to how ZAPs may provide additional marketing opportunities for the alcohol industry.

Perceptions of adequacy of fruit and vegetable intake as a barrier to increasing consumption.

AIM: To investigate New South Wales adults' perceived adequacy of their fruit and vegetable consumption and to identify the barriers to consumption. METHOD: An online cross-sectional survey of a sample of adults in New South Wales (n = 1603) in February 2019 measured self-reported fruit and vegetable intakes, perception of consumption adequacy and barriers to consumption. Proportions of participants whose reported consumption met the daily recommended serves of fruit and vegetables per day were calculated. Chi-square and Fisher's exact tests were used to explore differences between demographic characteristics and meeting fruit and vegetable recommendations. For those not meeting recommendations, Chi-square and Fisher's exact tests were used to explore perceived adequacy of intake as a potential barrier to consumption. RESULTS: The sample included 52.7% women, 40.0% aged under 40 years and 28.6% over 59 years, 68.2% lived in a major city, and 32.6% were university educated. Overall, 64.8% of participants reported consuming adequate fruit and 12.4% reported consuming adequate vegetables. Of those consuming less than the guidelines, 21.3% perceived that they were eating enough fruit and 53.7% perceived they were eating enough vegetables. The most common barriers to eating more fruit were preference for other foods (29.6%), fruit spoiling too quickly (28.3%), and habit (27.0%). The most common barriers to eating more vegetables were the perception that they eat enough (26.8%), preference for other foods (21.9%), and habit (19.7%). CONCLUSIONS: Greater efforts are needed to support the public to eat adequate fruit and vegetables, consistent with dietary guidelines. Public education campaigns specifically targeting increasing vegetable consumption are required to address knowledge gaps, given a large proportion of our study population consumed inadequate levels of vegetables yet perceived their intake to be adequate.

Snacking Behaviours of Australian Young Adults: Secondary Analysis of the MYMeals Cross-Sectional Study.

Snacking outside main meals may contribute to the high intakes of discretionary foods (i.e., unhealthful foods) among young adults. This study assessed the snacking behaviours of Australian young adults including the contribution of snacking to energy and nutrient intakes, the main foods consumed, and portion sizes. A secondary analysis of the MYMeals study of adults aged 18-30 years who consumed at least one snack food during the recording period (n = 889) was conducted. All food consumed over 3 consecutive days was recorded using a purpose-designed smartphone app. Snack foods contributed 13.2% of energy, 23.4% of total sugars, and 16.2% of saturated fat. Females consumed more energy (13.8% vs. 12.2%, p = 0.007) and total sugars (25.8% vs. 20.8%, p = 0.009), from snacking than males. Fruit (20.2%), chocolate (9.9%), cake-type desserts (8.4%), sweet biscuits (6.1%), and ice-cream-type desserts (5.6%) were the most frequently consumed snacks by young adults. The median portion sizes for the top five snack foods consumed were fruit-106 g (IQR: 73), chocolate-26 g (IQR: 36), cake-95 g (IQR: 88), sweet biscuits-26 g (IQR: 29), and ice cream-75 g (IQR: 42). The current findings may inform population-wide strategies to encourage healthful snacks such as fruit, inform portion control by individuals, and persuade the food industry to reduce the serving size of discretionary snack foods such as cake.

The energy density of meals and snacks consumed by young Australian adults (18-30 years old) are influenced by preparation location but not screen use nor social interactions: findings from the MYMeals wearable camera study.

The present study examined the association of contextual factors (social and food preparation location) with the energy density of meals and snacks consumed in a sample of young Australian adults (18-30 years old) identified using wearable camera technology. Over three consecutive days, a subsample of young adults wore a wearable camera that captured images in 30 s intervals. Eating episodes from 133 participants were annotated for preparation location and social context (covering social interaction and screen use). Over the same period, participants completed daily 24 h recalls. The nutritional composition of meals and snacks was calculated by matching the items identified in the camera to the 24 h recall using time and date stamps. Self-reported data (weight and height) was used to calculate body mass index and (residential postcode) to assign socio-economic status. The association of context and demographic factors with energy density was determined using a mixed linear regression model employing the bootstrap method with bias-corrected and accelerated. In total, 1817 eating episodes were included in the analysis (n 8 preparation unclear and n 15 food components could not be identified excluded). Food prepared within the home was 1⋅1 kJ/g less energy-dense than other preparation locations. Lunches (CI -1⋅7 to -0⋅3) and dinners (CI -1⋅6 to -0⋅5) were both 1⋅0 kJ/g lower in energy density than breakfasts. Snacks were 3⋅5 kJ/g (CI 2⋅8-4⋅1) more energy-dense than breakfasts. Food prepared outside the home and food consumption during snacking appear to be adversely contributing to energy-dense food intake.

Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults.

Studies have shown that young adults follow less structured eating patterns compared with older cohorts. This may have implications for dietary assessment methods which rely on memory and structured meal patterns. Our aim was to describe the intra-individual variation of eating times in young adults aged 18−30 years. Participants (n = 41) wore an Autographer camera that captured first-person perspective images every 30 s for three consecutive days. All images were timestamped and those showing food consumption were used to extract data such as the timing of the first and last eating occasions (EOs), number of EOs per day, and length of eating window. Intra-individual variability was calculated from these data using composite phase deviation (CPD) and coefficient of variation (CV). The number of individuals with high or very high variability was 28 and 18 for timing of first and last EOs, respectively (CPD > 1.70), and 27 and 17 for number of EOs and eating window, respectively (CV > 20%). In this sample of young adults, the lack of regularity in eating patterns should be considered when selecting a dietary assessment method.

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study.

Young adults are frequent consumers of food prepared outside the home (FOH). In a cross-sectional survey, the MYMeals study, we showed FOH provided one-third of meals and snacks for young Australian adults, yet it contributed higher proportions of energy and nutrients of concern, such as saturated fat and sodium. This study aimed to determine the detailed proportional contribution of nutrients of concern from the nine food outlet types captured in the MYMeals study. Young adults residing in New South Wales (NSW), Australia, (n = 1001) used a validated smartphone app to report all types and amounts of food and beverages consumed for three consecutive days, as well as their preparation location. The proportions of daily energy, macronutrients, sodium, total sugars, and saturated fat were calculated for each of the nine following outlet types: bakeries or patisseries, coffee chains, cold-drink chains, fast-food chains, ice creamery or frozen yoghurt outlets, independent cafes or restaurants, pubs (hotels) and clubs, service stations or convenience stores, and others not fitting the above categories. Of all FOH outlet types, independent cafes or restaurants contributed the most energy (17.5%), sodium (20.0%) and saturated fat (17.8%) to the total diet, followed by fast-food chains (12.0% energy, 15.8% sodium, and 12.0% saturated fat) and other outlets, with smaller proportions. For males, the proportion of energy and nutrients contributed by fast-food outlets was higher than for females (14.8% versus 9.8% energy). Menu labelling at independent cafes and restaurants is recommended, comprising, in addition to the energy labels already in use in fast-food restaurants, the labelling of nutrients of concern. The feasibility of this recommendation warrants further exploration.

Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App.

Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18-30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired t-test were conducted. Discretionary snacks were frequently omitted by both methods (p < 0.001). Water was omitted more frequently in the app than in the camera images (p < 0.001) and 24 h recall (p < 0.001). Dairy and alternatives (p = 0.001), sugar-based products (p = 0.007), savoury sauces and condiments (p < 0.001), fats and oils (p < 0.001) and alcohol (p = 0.002) were more frequently omitted in the app than in the 24 h recall. The use of traditional self-report methods of assessing diet remains problematic even with the addition of technology and finding new objective methods that are not intrusive and are of low burden to participants remains a challenge.

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study.

Young adults are the highest consumers of food prepared outside home (FOH) and gain most weight among Australian adults. One strategy to address the obesogenic food environment is menu labelling legislation whereby outlets with >20 stores in one state and >50 Australia-wide must display energy content in kJ. The aim of this study was to assess the contribution of FOH to the energy and macronutrients, saturated fat, total sugars and sodium intakes of young Australians. One thousand and one 18 to 30-year-olds (57% female) residing in Australia's most populous state recorded all foods and beverages consumed and the location of preparation for three consecutive days using a purpose-designed smartphone application. Group means for the daily consumption of energy, percentage energy (%E) for protein, carbohydrate, total sugars, total and saturated fats, and sodium density (mg/1000 kJ) and proportions of nutrients from FOH from menu labelling and independent outlets were compared. Overall, participants consumed 42.4% of their energy intake from FOH with other nutrients ranging from 39.8% (sugars) to 47.3% (sodium). Independent outlets not required to label menus, contributed a greater percentage of energy (23.6%) than menu labelling outlets (18.7%, p < 0.001). Public health policy responses such as public education campaigns, extended menu labelling, more detailed nutrition information and reformulation targets are suggested to facilitate healthier choices.

Validity of self-reported weight and height for BMI classification: A cross-sectional study among young adults.

OBJECTIVE: The aim of this study was to validate self-reported anthropometric measurements and body mass index (BMI) classifications in a young adult population. METHODS: Both self-reported and directly measured weight and height of 100 young adults 18 to 30 y of age were collected. Participants were measured at one of two university clinics by two research dietitians and within 2 wk self-reported their body weight and height via a questionnaire as part of a larger study. BMI was calculated and categorized according to the World Health Organization's cut-points for underweight, healthy weight, and overweight or obesity. The validity of measured against self-reported weight and height was examined using Pearson's correlation, Bland-Altman plots, and Cohen's kappa statistic. RESULTS: Strong correlation was observed between measured and self-reported weight (r = 0.99; P < 0.001), height (r = 0.95; P < 0.001), and BMI (r = 0.94; P < 0.001). Bland-Altman plots indicated that the mean difference between self-reported and direct BMI measurements were small in the total sample (0.1 kg/m2). The majority of values fell within the limits of agreement (2 SD), with random scatter plots and no systemic bias detected. The classification of BMI from self-reported and direct measurements showed that 88% were placed in the equivalent weight category with very good agreement Cohen's kappa (0.76; 95% confidence interval, 0.63-0.89; P < 0.001). CONCLUSIONS: Good agreement was detected between self-reported and direct anthropometric measurements. The criticism of self-reported anthropometric measurements is unwarranted. The findings provide support for using self-reported height and weight data for research in Australian young adults when direct measurements are not feasible.

Comparison between serving sizes of cakes and muffins sold in Australian supermarkets and coffee shop chains.

AIM: Cakes and muffins are commonly consumed discretionary foods that have increased significantly in portion size over the past decades. The present study aimed to (i) investigate serving sizes and energy per serving of cakes and muffins sold in supermarkets and coffee chains, (ii) compare to standard discretionary serves and (iii) propose feasible and appropriate serving size recommendations. METHODS: Serving sizes and energy content of cakes and muffins were collected from four major Australian supermarkets (n = 219) and eight coffee chains (n = 248) between March and April 2017 and classified into eight categories and compared using Mann-Whitney tests. Median energy per serving of cakes and muffins from supermarkets and coffee chains were compared to the Australian Dietary Guidelines standard serve of 600 kJ for discretionary food. RESULTS: The median serving size of cakes and muffins from supermarkets, 58 g (interquartile range, IQR: 47-83) and their energy content, 915 kJ (IQR: 745-1243) were significantly smaller compared with coffee chain equivalents, 148 g (IQR: 115-171, P < 0.001) and 1805 kJ (IQR: 1436-2004, P < 0.001), respectively. The majority of cakes and muffins exceeded the Australian Dietary Guidelines standard serve (78% from supermarkets and 99% from coffee chains). CONCLUSIONS: The larger servings of cakes and muffins sold in coffee chains contain nearly double the energy content of smaller servings sold in supermarkets. We recommend reference serving sizes for industry and food retail are set for this category, in combination with consumer education to guide consumers to select appropriate portion sizes.

The Role of Supportive Food Environments to Enable Healthier Choices When Eating Meals Prepared Outside the Home: Findings from Focus Groups of 18 to 30-Year-Olds.

Young adults are the highest consumers of food prepared outside home, which has been linked to weight gain. The aim of this qualitative research was to gather opinions from young adults about what influences their food choice when eating out and if they so desired, what might enable healthy choices. Thirty-one adults aged 18 to 30 years participated in four focus groups (females = 24). Predetermined questions were used to guide discussions which were audiotaped then transcribed. The content was organized into themes and sub-themes using NVivo software. Two broad groupings arose-personal behaviors and changes to physical and social food environments. For many, eating out was viewed as a special occasion so that healthy food was not a priority and despite understanding health consequences of poor diets this was not an immediate concern. Price discounts and menu-labelling were suggested and trust in credible organizations and peers' endorsement of meals and venues expressed. The role of smartphones in the modern food environment emerged as a tool to enable immediate access to many restaurants to order food and access reviews and social media as a source of persuasive food imagery. Current menu-labelling initiatives should continue, food pricing be explored and influence of smartphones on diet further researched. However, these findings may be limited by the high proportion of women and higher socioeconomic status and urban residence of many participants.

Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds.

(1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or t-tests, correlation coefficients and Bland⁻Altman plots assessed agreement between the two methods for energy and percentage energy from nutrients (%E). (3) Results: One hundred and eighty nine of 216 participants (54% females, 60% resided in higher socioeconomic areas, 49% university-educated) completed the study. There were significant differences in median energy intake between methods (p < 0.001), but the EaT app had acceptable agreement for most nutrient densities at the group level. Correlation coefficients ranged from r = 0.56 (%E fat) to 0.82 (%E sugars), and between 85% and 94% of participants were cross-classified into the same or adjacent quartiles. Bland⁻Altman plots showed wide limits of agreement but no obvious biases for nutrient densities except carbohydrate in males. (4) Conclusions: The EaT app can be used to assess group nutrient densities in a general population of 18-to-30-year olds.