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 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.

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.