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BackgroundThere is substantial interest in the effects of nutrition labels on consumer food-purchasing behavior. However, conducting randomized controlled trials on the impact of nutrition labels in the real world presents a significant challenge. ObjectiveThe Food Label Trial (FLT) smartphone app was developed to enable conducting fully automated trials, delivering intervention remotely, and collecting individual-level data on food purchases for two nutrition-labeling randomized controlled trials (RCTs) in New Zealand and Australia. MethodsTwo versions of the smartphone app were developed: one for a 5-arm trial (Australian) and the other for a 3-arm trial (New Zealand). The RCT protocols guided requirements for app functionality, that is, obtaining informed consent, two-stage eligibility check, questionnaire administration, randomization, intervention delivery, and outcome assessment. Intervention delivery (nutrition labels) and outcome data collection (individual shopping data) used the smartphone camera technology, where a barcode scanner was used to identify a packaged food and link it with its corresponding match in a food composition database. Scanned products were either recorded in an electronic list (data collection mode) or allocated a nutrition label on screen if matched successfully with an existing product in the database (intervention delivery mode). All recorded data were transmitted to the RCT database hosted on a server. ResultsIn total approximately 4000 users have downloaded the FLT app to date; 606 (Australia) and 1470 (New Zealand) users met the eligibility criteria and were randomized. Individual shopping data collected by participants currently comprise more than 96,000 (Australia) and 229,000 (New Zealand) packaged food and beverage products. ConclusionsThe FLT app is one of the first smartphone apps to enable conducting fully automated RCTs. Preliminary app usage statistics demonstrate large potential of such technology, both for intervention delivery and data collection. Trial RegistrationAustralian New Zealand Clinical Trials Registry ACTRN12614000964617. New Zealand trial: Australian New Zealand Clinical Trials Registry ACTRN12614000644662.

Objective: To assess annual household purchases of sugar-sweetened beverages (SSBs), artificially sweetened beverages (AFSBs), and unsweetened beverages (USBs) by household composition and income, and over time. Design: Observational cohort study using beverage purchasing data linked to a supermarket database. ANOVA was used to compare total household purchase volumes (L) and the contribution of beverages purchased by category, household composition (size), household income (four categories from New Zealand (NZ) < $30 000 to > $90 000), and over time (trend from 2015 to 2019). Setting: Aotearoa NZ. Participants: ∼1800 households in the NielsenIQ Homescan® market research panel. Results: In 2019, the mean (sd) annual household purchase volume and relative contribution to total beverage volume of SSBs were 72·3 (93·0) L and 33 %, respectively. Corresponding values for AFSBs were 32·5 (79·3) L (15 %), and USBs were 112·5 (100·9) L (52 %). Larger households purchased more of all beverage types except AFSBs. Total purchases were similar by income, but households earning < $NZ 30 000 purchased fewer AFSBs and USBs (but not SSBs) than households earning > $NZ 90 000. Total and USB purchases were unchanged over time, but SSBs dropped by 5·9 L (P -trend = 0·04), and AFSBs increased by 5·3 L (P -trend = 0·00). Conclusions: USBs contributed the most to household beverage purchases. Total purchases were higher for larger households and similar by income, including for SSBs. The reduction over time was too small for health benefits. Findings support policies and interventions to reduce SSB consumption and highlight the importance of focusing on equitable outcomes. [ABSTRACT FROM AUTHOR]

Tailoring individualizes information to the receiver and provides a potential strategy for improving dietary intakes. The present systematic review summarizes evidence for the long-term ([greater than or equal to] 6 months) effectiveness of tailored nutrition education for adults and includes priority population groups. Key electronic databases and relevant bibliographies were searched for trials measuring the following outcomes: nutrition-related health behaviors (e.g., dietary intake and food purchases) and anthropometric measures. Data synthesis was comprised of meta-analysis (for 15 trials including all population groups) and narrative review (for five trials of priority population groups). Overall, the quality of the studies was moderate to good. Tailored nutrition education was found to be a promising strategy for improving the diets of adults (including those in priority population groups) over the long term. However, future studies should ensure adequate reporting of research design and methods and reduce the chances of false-positive findings by using more objective measures of diet, clearly identifying the primary study outcome, and concentrating on outcomes most relevant to nutrition-related disease.

Objective: To evaluate the impact of the 2017 update to the voluntary Advertising Standards Authority (ASA) code for advertising food on children and young people's exposure to unhealthy food advertisements on New Zealand television. Design: Audience ratings data were analysed for New Zealand children and young people's television viewing for eight random days prior to (June to August 2015) and following (October to December 2018) the code update, from 06.00 to midnight (864 h). Food advertisements were coded using three nutrient profiling models. The number of children and young people watching television each year was compared. Setting: Three free-to-air New Zealand television channels. Participants: New Zealand children aged 5–18 years. Results: Television viewer numbers decreased over the 3 years (P < 0·0001). The mean rate of unhealthy food advertising on weekdays was 10·4 advertisements/h (2015) and 9·5 advertisements/h (2018). Corresponding rates for weekend days were 8·1 and 7·3 advertisements/h, respectively. The percentage of food advertisements which were for unhealthy foods remained high (63·7 % on weekdays and 65·9 % on weekends) in 2018. The ASA definition of children's 'peak viewing time' (when 25 % of the audience are children) did not correspond to any broadcast times across weekdays and weekend days. Conclusions: Between 2015 and 2018, children and young people's television exposure to unhealthy food advertising decreased. However, almost two-thirds of all food advertisements were still unhealthy, and the updated ASA code excluded the times when the greatest number of children was watching television. Consequently, government regulation and regular monitoring should reflect the evolving food marketing environment. [ABSTRACT FROM AUTHOR]