The Nutritional Quality of Kids' Menus from Cafés and Restaurants: An Australian Cross-Sectional Study.

Australian families increasingly rely on eating foods from outside the home, which increases intake of energy-dense nutrient-poor foods. 'Kids' Menus' are designed to appeal to families and typically lack healthy options. However, the nutritional quality of Kids' Menus from cafes and full-service restaurants (as opposed to fast-food outlets) has not been investigated in Australia. The aim of this study was to evaluate the nutritional quality of Kids' Menus in restaurants and cafés in metropolitan Perth, Western Australia. All 787 cafes and restaurants located within the East Metropolitan Health Service area were contacted and 33% had a separate Kids' Menu. The validated Kids' Menu Healthy Score (KIMEHS) was used to assess the nutritional quality of the Kids' Menus. Almost all Kids' Menus (99%) were rated 'unhealthy' using KIMEHS. The mean KIMEHS score for all restaurants and cafés was -8.5 (range -14.5 to +3.5) which was lower (i.e., more unhealthy) than the mean KIMEHS score for the top 10 most frequented chain fast-food outlets (mean -3.5, range -6.5 to +3). The findings highlight the need for additional supports to make improvements in the nutritional quality of Kids' Menus. Local Government Public Health Plans provide an opportunity for policy interventions, using locally relevant tools to guide decision making.

Individual, Social, and Environmental Correlates of Energy Drink Use Among Adolescents.

OBJECTIVE: To investigate the correlates of adolescent energy drink (ED) use using a socioecological approach to inform future interventions. METHODS: In 2017-2018, 3,688 students attending 25 randomly selected Western Australian secondary schools completed a self-report survey. A backward stepwise logistic regression analysis was used to construct a model of the most significant individual (n = 12), social (n = 3), and environmental (n = 4) factors associated with being an ED user (ie, past month ED use). RESULTS: Overall, 18% of participants were ED users. The factors significantly associated with being an ED user included being male (P < 0.001), having a higher disposable income (P < 0.001), perceiving EDs as good for health (P = 0.009), perceiving EDs as safe for someone their age to drink (P < 0.001), having a sensation-seeking personality (P = 0.011), having friends who drink EDs (P < 0.001), having parents who would give them an ED if asked (P < 0.001), and having EDs available at home (P < 0.001). CONCLUSIONS AND IMPLICATIONS: Initiatives to reduce ED intake among adolescents need to be multifaceted, addressing individual, social, and environmental factors. It is also important that educational interventions target both parents and adolescents.

Association between food-outlet availability near secondary schools and junk-food purchasing among Australian adolescents.

OBJECTIVES: We sought to investigate the association between food-outlet availability near Australian secondary schools and frequency of Australian students' discretionary food purchases. METHODS: Secondary-school students in Perth (Western Australia) reported the frequency of their discretionary food purchases from food outlets near their school (17 schools, n = 2389 students grades 7-12, ages 12-17 y). Food-outlet availability was sourced from local governments, then geocoded. A mixed-effects model was used in analyses. RESULTS: Almost half of students (45%) purchased discretionary foods from food outlets near their secondary school at least weekly. Only the density of top-ranking fast-food chain outlets near secondary schools was associated with a significant increase in the frequency of discretionary food purchases. CONCLUSIONS: Availability of major fast-food chains near Australian secondary schools appears to be a key driver of Australian students' discretionary food purchasing. Restricting these outlets near schools may help reduce adolescents' discretionary food intake.

Energy drink intake is associated with insomnia and decreased daytime functioning in young adult females.

OBJECTIVE: To investigate the association between energy drink (ED) use and sleep-related disturbances in a population-based sample of young adults from the Raine Study. DESIGN: Analysis of cross-sectional data obtained from self-administered questionnaires to assess ED use and sleep disturbance (Epworth Sleepiness Scale, Functional Outcomes of Sleep Questionnaire (FOSQ-10) and the Pittsburgh Sleep Symptoms Questionnaire-Insomnia (PSSQ-I)). Regression modelling was used to estimate the effect of ED use on sleep disturbances. All models adjusted for various potential confounders. SETTING: Western Australia. PARTICIPANTS: Males and females, aged 22 years, from Raine Study Gen2-22 year follow-up. RESULTS: Of the 1115 participants, 66 % were never/rare users (i.e. once/month to

Energy drink intake and metabolic syndrome: A prospective investigation in young adults.

BACKGROUND AND AIMS: There are concerns that energy drinks (EDs) are contributing to upward trends in overweight, obesity, and cardiometabolic conditions in young people. We investigated cross-sectional and prospective associations between frequency of ED-intake in young-adults and (i) body mass index (BMI) and (ii) Metabolic Syndrome (MetS) and its components. METHODS AND RESULTS: Participants from the Raine Study at 20-years (n = 1236) and 22 years (n = 1117) self-reported ED-intake, dietary intake, and physical activity, and had blood and anthropometric measures taken. Regression modelling examined associations between ED-intake and BMI, MetS and its components. There was a positive, but not significant, cross-sectional association with BMI and likelihood of MetS with frequent ED use at 20-years (BMI: ß = 0.19; MetS: OR = 1.11) and 22-years (BMI: ß = 0.51; MetS: OR = 1.28). There were no associations in the prospective analysis. After adjustment, significant associations existed between occasional ED-intake and lower HDL-cholesterol (ß = -0.07) and higher fasting triglycerides (ß = 0.16) at 20-years, and lower fasting triglycerides at 22-years (ß = -0.10), but no significant associations in the prospective analyses. CONCLUSION: No significant associations existed between frequency of ED-intake, and BMI, MetS or its individual components over two years (ages 20-22 years). Future studies should include volume of EDs consumed and longer follow-up.

Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls.

BACKGROUND: Dietary assessment methods that can provide high quality data while limiting participant burden and resource requirements in epidemiological research are highly sought after and continue to evolve. The use of mobile phone technology in research has increased rapidly over the last decade and offers multiple advantages to the researcher over traditional data collection methods. This study tested the acceptability and relative validity of a commercial smart phone application (app) for use as an epidemiological dietary assessment tool, compared with a traditional dietary assessment method. METHODS: Study participants completed a 4-d food diary using a modified version of the Easy Diet Diary app and two 24-h dietary recalls during the same week, for comparison. At the end of data collection, participants completed a questionnaire on their experience with both methods. Average proportions of energy from macronutrients and fibre, iron, and calcium densities from the app and 24-h recalls were compared after log transformation, by calculating mean agreement, limits of agreement (LOA), and Pearson's correlations. The prevalence of dietary under-reporting was compared in each method using the Goldberg method. RESULTS: A total of 50 adults (82% women) provided data for analysis (mean age, 31 y; mean BMI, 22.4 kg/m2; 14% overweight or obese). Participant feedback showed high levels of acceptance of the app; 83% preferred using the app to completing 24-h dietary recalls. The average difference in energy intake (mean agreement) between methods was 268 kJ/d. For all intakes except alcohol, the average difference between methods was not significantly different from zero. Most limits of agreement were within an acceptable range. The prevalence of dietary misreporting was similar in both methods. CONCLUSIONS: These findings demonstrate good feasibility for applying this commercially-developed smartphone app in epidemiological research.