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Background: A healthy lifestyle program that appeals to, and supports, overweight and obese New Zealand (NZ) European, Māori (indigenous) and Pasifika men to achieve weight loss is urgently needed. A pilot program inspired by the successful Football Fans in Training program but delivered via professional rugby clubs in NZ (n = 96) was shown to be effective in weight loss, adherence to healthy lifestyle behaviors, and cardiorespiratory fitness in overweight and obese men. A full effectiveness trial is now needed. Aims: To determine the effectiveness and cost effectiveness of Rugby Fans In Training-NZ (RUFIT-NZ) on weight loss, fitness, blood pressure, lifestyle change, and health related quality of life (HRQoL) at 12- and 52-weeks. Methods: We conducted a pragmatic, two-arm, multi-center, randomized controlled trial in NZ with 378 (target 308) overweight and obese men aged 30–65 years, randomized to an intervention group or wait-list control group. The 12-week RUFIT-NZ program was a gender-sensitised, healthy lifestyle intervention delivered through professional rugby clubs. Each intervention session included: i) a 1-h workshop-based education component focused on nutrition, physical activity, sleep, sedentary behavior, and learning evidence-based behavior change strategies for sustaining a healthier lifestyle; and 2) a 1-h group-based, but individually tailored, exercise training session. The control group were offered RUFIT-NZ after 52-weeks. The primary outcome was change in body weight from baseline to 52-weeks. Secondary outcomes included change in body weight at 12-weeks, waist circumference, blood pressure, fitness (cardiorespiratory and musculoskeletal), lifestyle behaviors (leisure-time physical activity, sleep, smoking status, and alcohol and dietary quality), and health-related quality of life at 12- and 52-weeks. Results: Our final analysis included 200 participants (intervention n = 103; control n = 97) who were able to complete the RUFIT-NZ intervention prior to COVID-19 restrictions. At 52-weeks, the adjusted mean group difference in weight change (primary outcome) was -2.77 kg (95% CI -4.92 to -0.61), which favored the intervention group. The intervention also resulted in favorable significant differences in weight change and fruit and vegetable consumption at 12-weeks; and waist circumference, fitness outcomes, physical activity levels, and health-related quality of life at both 12 and 52 weeks. No significant intervention effects were observed for blood pressure, or sleep. Incremental cost-effective ratios estimated were $259 per kg lost, or $40,269 per quality adjusted life year (QALY) gained. Conclusion: RUFIT-NZ resulted in sustained positive changes in weight, waist circumference, physical fitness, self-reported physical activity, selected dietary outcomes, and health-related quality of life in overweight/obese men. As such, the program should be recommended for sustained delivery beyond this trial, involving other rugby clubs across NZ. Trial registration: Australia New Zealand Clinical Trials Registry, ACTRN12619000069156. Registered 18 January 2019, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376740 Universal Trial Number, U1111-1245–0645. [ABSTRACT FROM AUTHOR]

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]

Objective: To assess trends in relative availability, sugar content and serve size of ready-to-drink non-alcoholic beverages available for sale in supermarkets from 2013 to 2019. Design: Repeat cross-sectional surveys. Data on single-serve beverages to be consumed in one sitting were obtained from an updated brand-specific food composition database. Trends in beverages availability and proportions with serve size ≤ 250 ml were assessed by χ2 tests. Sugar content trends were examined using linear regressions. The proportion of beverages exceeding the sugar threshold of the United Kingdom Soft Drinks Industry Levy (SDIL) was assessed. Setting: New Zealand. Results: From 2013 to 2019, there was (i) an increase in the availability of sugar-free/low-sugar beverages (n 25 (8·4 %) to n 75 (19·1 %); P < 0·001) and craft sugar-sweetened soft drinks (n 11 (3·7 %) to n 36 (9·2 %); P < 0·001), and a decrease in availability of fruit/vegetable juices/drinks (n 94 (31·8 %) to n 75 (19·4 %); P < 0·001); (ii) small decreases in sugar content (mean g/100 ml) of sugar-sweetened soft drinks (3·03; 95 % CI 3·77, 2·29); fruit/vegetable juices/drinks (1·08; 95 % CI 2·14, 0·01) and energy drinks (0·98; 95 % CI 1·63, 0·32) and (iii) slight reduction in the proportion of beverages with serve size ≤ 250 ml (21·6 to 18·9 %; P < 0·001). In 2019, most beverages were sugar-sweetened or had naturally occurring sugars (79·1 %) and serve size > 250 ml (81·1 %) and most sugar-sweetened beverages exceeded the SDIL lower benchmark (72·9 %). Conclusions: Most single-serve beverages available for sale in 2019 were sugary drinks with high sugar content and large serve sizes; therefore, changes made across the years were not meaningful for population's health. [ABSTRACT FROM AUTHOR]

Improvement of national food supplies are an opportunity to improve a country's health. Our aim was to identify the major food companies manufacturing packaged foods and non-alcoholic beverages available in New Zealand supermarkets in 2018; to assess the healthiness of products using (1) the Health Star Rating (HSR) system, (2) Australian Dietary Guidelines classification (core/discretionary), and (3) by level of processing; to compare the healthiness of products displaying and not displaying the HSR and; to assess potential for food reformulation within selected food sub-categories. Information on packaged foods was obtained from the Nutritrack supermarket database. Companies that manufactured each food and brand were identified using company websites and the New Zealand companies register. In total, 13,506 packaged products were mapped to 1,767 brands and 1,214 companies. Based on market share of products available for sale (Euromonitor data), there were 22 dominating companies producing 31% of products and 17% of brands. Fifty-nine percent of products were classified as unhealthy (HSR <3.5/5 stars), 53% as discretionary, and 69% as ultra-processed. Products displaying the HSR on the package had a higher mean HSR ±SD than if the HSR was not displayed (3.2±1.3 versus 2.5±1.4, p = 0.000). Efforts to improve the healthiness of products should be directed to the 22 food companies dominating this market share, particularly in the core foods groups which are currently less likely to meet Heart Foundation reformulation targets (bread, breakfast cereals, cheese, canned baked beans, yoghurt). The New Zealand supermarket packaged food supply included in the Nutritrack database is dominated by a small number of companies and is mostly unhealthy. Government leadership is required to improve the healthiness of the packaged food supply and provide adequate information to consumers. This includes interventions setting reformulation targets for core food groups, setting population nutrient intake targets and mandating that the HSR is displayed on all products. [ABSTRACT FROM AUTHOR]

Objective: Emerging evidence suggests that free sugars intake in many countries exceeds that recommended by the WHO. However, information regarding real-world dietary patterns associated with meeting the WHO free sugars guidelines is lacking. The current study aimed to determine dietary patterns associated with meeting the guidelines to inform effective free sugars reduction interventions in New Zealand (NZ) and similar high-income countries.Design: Dietary patterns were derived using principal component analysis on repeat 24-h NZ Adult Nutrition Survey dietary recall data. Associations between dietary patterns and the WHO guidelines (<5 and <10 % total energy intake) were determined using logistic regression analyses.Setting: New Zealand.Participants: NZ adults (n 4721) over 15 years old.Results: Eight dietary patterns were identified: 'takeaway foods and alcohol' was associated with meeting both WHO guidelines; 'contemporary' was associated with meeting the <10 % guideline (males only); 'fast foods, sugar-sweetened beverages and dessert', 'traditional' and 'breakfast foods' were negatively associated with meeting both guidelines; 'sandwich' and 'snack foods' were negatively associated with the <5 % guideline; and 'saturated fats and sugar' was negatively associated with the <10 % guideline.Conclusions: The majority of NZ dietary patterns were not consistent with WHO free sugars guidelines. It is possible to meet the WHO guidelines while consuming a healthier ('contemporary') or energy-dense, nutrient-poor ('takeaway foods and alcohol') diet. However, the majority of energy-dense patterns were not associated with meeting the guidelines. Future nutrition interventions would benefit from focusing on establishing healthier overall diets and reducing consumption and free sugars content of key foods. [ABSTRACT FROM AUTHOR]

Background Reducing sugar in packaged foods and beverages could help protect children's future health. Clear methods for the development of feasible yet impactful sugar reduction program targets are needed. Objectives To outline methods for the development of program targets that would reduce, by 20%, the total sugar content of packaged foods and beverages commonly consumed by children. New Zealand (NZ) is used as a case study. Methods Sugar content and pack size targets were developed using a 6-step process informed by the UK sugar and salt reduction programs. Food groups contributing ≥2% to children's total sugar intake were identified using national dietary survey data. Consumption volume, sugar content, and pack size were obtained from household panel data linked with a packaged food composition database. Category-specific targets were set as 20% reductions in sales-weighted means adjusted for feasibility, i.e., ∼1/3 of products already meeting the target, and alignment with existing, relevant targets. Results Twenty-two food groups were identified as major contributors to NZ children's total sugar intake. Mean reductions required in sugar content and pack size to meet the targets were 5.2 g  per 100 g/mL (26%) and 61.2 g/mL/pack (23%), respectively. The percentage of products already meeting the sugar targets ranged from 14% for electrolyte drinks and flavored dairy milk to 50% for cereal bars, and for pack size targets compliance ranged from 32% for chocolate confectionary to 62% for fruit juices and drinks. Estimated reductions in annual household sugar purchases if the sugar and pack size targets were met were 1459 g (23%) and 286 g (6%), respectively. Conclusions Methods for the development of sugar and pack size reduction targets are presented, providing a robust, step-by-step process for countries to follow. The results of the case study provide a suggested benchmark for a potential national sugar reduction program in NZ. [ABSTRACT FROM AUTHOR]

Background: A healthy lifestyle program that appeals to, and supports, obese New Zealand (NZ) European, Māori (indigenous) and Pasifika men to achieve weight loss is urgently needed. In Scotland, Football Fans in Training (FFIT), a weight management and healthy lifestyle program for overweight and obese men aged 35-65 years , delivered by community coaching staff at professional football clubs, has been shown to be beneficial and cost-effective. A pilot program inspired by FFIT but delivered by professional rugby clubs in NZ (n = 96) was shown to be effective in weight loss, improved physiological outcomes, and adherence to healthy lifestyle behaviors in overweight and obese men. The objective of this trial is to determine the effectiveness and cost-effectiveness of the Rugby Fans in Training New Zealand (RUFIT-NZ) program.Methods: A pragmatic, two-arm, multi-center, randomized controlled trial involving 308 overweight and obese men aged 30-65 years, randomized to either an intervention group (n = 154) or a wait-list control group (n = 154). The intervention-group participated in the 12-week RUFIT-NZ program, a gender-sensitized, healthy lifestyle intervention adapted to the environment and cultural diversity of NZ and delivered through professional rugby clubs. Participants in the intervention group undergo physical training sessions, in addition to workshop-based sessions to learn about nutrition, physical activity, sleep, sedentary behavior, and a range of behavior-change strategies for sustaining a healthier lifestyle. The control group receives the program after 52 weeks. The primary outcome is change in body weight from baseline to 52 weeks. Secondary outcomes include change in body weight at 12 weeks; waist circumference, blood pressure, fitness, and lifestyle behaviors at 12 and 52 weeks; and cost-effectiveness. A process evaluation informed by the RE-AIM framework will evaluate potential implementation of RUFIT-NZ as an ongoing program in NZ after the trial.Discussion: This trial will investigate the effectiveness and cost-effectiveness of the RUFIT-NZ program in overweight and obese NZ men.Trial Registration: Australia New Zealand Clinical Trials Registry, ACTRN12619000069156. Registered on 18 January 2019, according to the World Health Organization Trial Registration Data Set. Universal Trial Number, U1111-1245-0645. [ABSTRACT FROM AUTHOR]

There is increasing discussion globally of the value of health-related food taxes and subsidies to address obesity and noncommunicable diseases. In order for such policies to be successful it is important to understand the positions of key stakeholders. This research investigated New Zealand (NZ) stakeholders' views on the feasibility and acceptability of selected health-related food taxes and subsidies over the next 5 to 10 years. Twenty semi-structured interviews were undertaken by telephone from November 2014 to May 2015. The purposive sample of key stakeholders included politicians, bureaucrats, public health experts, food industry leaders and consumer representatives. Prior to interviews participants were sent summary information on the estimated impacts of a range of health-related food taxes and subsidies on dietary intake and mortality. According to key stakeholders there appears to be little appetite for taxes on foods high in saturated fat or salt in NZ. Stakeholders largely agreed that a tax on sugar-sweetened beverages (SSBs) and a subsidy on fruit and vegetables were both feasible and likely acceptable. There was strong support for starting with a SSBs tax, possibly framed around protecting children and dental health. Addressing obesity and noncommunicable diseases is a multidimensional challenge. A tax on SSBs and a subsidy on fruit and vegetables, possibly in tandem, could be part of the solution in NZ. There is growing interest in, and evidence for, health-related taxes and subsidies internationally. Given the critical role of stakeholder support for such policies similar research on stakeholders' views may assist the implementation of health-related food taxes and subsidies in other jurisdictions. [ABSTRACT FROM AUTHOR]

Background: Nutrition labeling is a prominent policy to promote healthy eating. Objective: We aimed to evaluate the effects of 2 interpretive nutrition labels compared with a noninterpretive label on consumer food purchases. Design: In this parallel-group randomized controlled trial, we enrolled household shoppers across New Zealand who owned smartphones and were aged ≥18 y. Eligible participants were randomly assigned (1:1:1) to receive either traffic light labels (TLLs), Health Star Rating labels (HSRs), or a control [nutrition information panel (NIP)]. Smartphone technology allowed participants to scan barcodes of packaged foods and to receive allocated labels on their smartphone screens. The primary outcome was the mean healthiness of all packaged food purchases over the 4-wk intervention period, which was measured by using the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC). Results: Between October 2014 and November 2015, 1357 eligible shoppers were randomly assigned to TLL (n = 459), HSR (n = 443), or NIP (n = 455) labels. Overall difference in the mean transformed NPSC score for the TLL group compared with the NIP group was 20.20 (95% CI: 20.94, 0.54; P = 0.60). The corresponding difference for HSR compared with NIP was 20.60 (95% CI: 21.35, 0.15; P = 0.12). In an exploratory per-protocol analysis of participants who used the labeling intervention more often than average (n = 423, 31%), those who were assigned to TLL and HSR had significantly better NPSC scores [TLL compared with NIP: 21.33 (95% CI: 22.63, 20.04; P = 0.04); HSR compared with NIP: 21.70 (95% CI: 22.97, 20.43; P = 0.01)]. Shoppers who were randomly assigned to HSR and TLL also found the labels significantly more useful and easy to understand than the NIP (all P values <0.001). Conclusions: At the relatively low level of use observed in this trial, interpretive nutrition labels had no significant effect on food purchases. However, shoppers who used interpretive labels found them to be significantly more useful and easy to understand, and compared with frequent NIP users, frequent TLL and HSR users had significantly healthier food purchases. This trial was registered at the Australian New Zealand Clinical Trials Registry (https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id= 366446&isReview=true) as ACTRN12614000644662. [ABSTRACT FROM AUTHOR]

Nutrition and health claims are displayed to influence consumers’ food choices. This study assessed the extent and nature of nutrition and health claims on the front-of-pack of ‘healthy’ and ‘less-healthy’ packaged foods in New Zealand. Foods from eight categories, for which consumption may affect the risk of obesity and diet-related chronic diseases, were selected from the 2014 Nutritrack database. The internationally standardised International Network for Food and Obesity/Non-Communicable Diseases Research, Monitoring and Action Support (INFORMAS) taxonomy was used to classify claims on packages. The Nutrient Profiling Scoring Criterion (NPSC) was used to classify products as ‘healthy’ or ‘less healthy’. In total, 7526 products were included, with 47 % (n 3557) classified as ‘healthy’. More than one-third of products displayed at least one nutrition claim and 15 % featured at least one health claim on the front-of-pack. Claims were found on one-third of ‘less-healthy’ products; 26 % of those products displayed nutrition claims and 7 % featured health claims. About 45 % of ‘healthy’ products displayed nutrition claims and 23 % featured health claims. Out of 7058 individual claims, the majority (69 %) were found on ‘healthy’ products. Cereals displayed the greatest proportion of nutrition and health claims (1503 claims on 564 products), of which one-third were displayed on ‘less-healthy’ cereals. Such claims could be misleading consumers’ perceptions of nutritional quality of foods. It needs to be explored how current regulations on nutrition and health claims in New Zealand could be further strengthened (e.g. using the NPSC for nutrition claims, including general health claims as per the INFORMAS taxonomy) to ensure consumers are protected and not misled. [ABSTRACT FROM PUBLISHER]

Background: There is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price) to better inform policy on health-related food taxes and subsidies.Methods/design: The Price Experiment and Modelling (Price ExaM) study aims to: I) derive accurate and precise food PE values; II) quantify the impact of price changes on quantity and quality of discrete food group purchases and; III) model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs]) using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts) are used as inputs to econometric models (using Bayesian methods) to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions.Discussion: The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential health and disease impacts of various food pricing policy options. Findings will inform policy on health-related food taxes and subsidies.Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12616000122459 (registered 3 February 2016). [ABSTRACT FROM AUTHOR]

Population exposure to food and nutrients can be estimated from household food purchases, but store surveys of foods and their composition are more available, less costly and might provide similar information. Our aim was to compare estimates of nutrient exposure from a store survey of packaged food with those from household panel food purchases. A cross-sectional store survey of all packaged foods for sale in two major supermarkets was undertaken in Auckland, New Zealand, between February and May 2012. Longitudinal household food purchase data (November 2011 to October 2012) were obtained from the nationally representative, population-weighted New Zealand Nielsen HomeScan® panel. Data on 8440 packaged food and non-alcoholic beverage products were collected in the store survey. Food purchase data were available for 1229 households and 16 812 products. Store survey data alone produced higher estimates of exposure to Na and sugar compared with estimates from household panel food purchases. The estimated mean difference in exposure to Na was 94 (95 % CI 72, 115) mg/100 g (20 % relative difference; P<0·01), to sugar 1·6 (95 % CI 0·8, 2·5) g/100 g (11 %; P<0·01), to SFA −0·3 (95 % CI −0·8, 0·3) g/100 g (6 %; P=0·3) and to energy −18 (−71, 35) kJ/100 g (2 %; P=0·51). Compared with household panel food purchases, store survey data provided a reasonable estimate of average population exposure to key nutrients from packaged foods. However, caution should be exercised in using such data to estimate population exposure to Na and sugar and in generalising these findings to other countries, as well as over time. [ABSTRACT FROM AUTHOR]

Background: Dietary salt reduction is included in the top five priority actions for non-communicable disease control internationally. We therefore aimed to identify health gain and cost impacts of achieving a national target for sodium reduction, along with component targets in different food groups.Methods: We used an established dietary sodium intervention model to study 10 interventions to achieve sodium reduction targets. The 2011 New Zealand (NZ) adult population (2.3 million aged 35+ years) was simulated over the remainder of their lifetime in a Markov model with a 3 % discount rate.Results: Achieving an overall 35 % reduction in dietary salt intake via implementation of mandatory maximum levels of sodium in packaged foods along with reduced sodium from fast foods/restaurant food and discretionary intake (the "full target"), was estimated to gain 235,000 QALYs over the lifetime of the cohort (95 % uncertainty interval [UI]: 176,000 to 298,000). For specific target components the range was from 122,000 QALYs gained (for the packaged foods target) down to the snack foods target (6100 QALYs; and representing a 34-48 % sodium reduction in such products). All ten target interventions studied were cost-saving, with the greatest costs saved for the mandatory "full target" at NZ$1260 million (US$820 million). There were relatively greater health gains per adult for men and for Māori (indigenous population).Conclusions: This work provides modeling-level evidence that achieving dietary sodium reduction targets (including specific food category targets) could generate large health gains and cost savings for a national health sector. Demographic groups with the highest cardiovascular disease rates stand to gain most, assisting in reducing health inequalities between sex and ethnic groups. [ABSTRACT FROM AUTHOR]

Objective: To assess the mean package size and manufacturer-recommended serving size of sweet beverages available in four high-income countries: Australia, Canada, the Netherlands and New Zealand.Design: Cross-sectional surveys.Setting: The two largest supermarket chains of each country in 2012/2013.Subjects: Individual pack size (IPS) drinks (n 891) and bulk pack size (BPS) drinks (n 1904).Results: For all IPS drinks, the mean package size was larger than the mean serving size (mean (sd)=412 (157) ml and 359 (159) ml, respectively). The mean (sd) package size of IPS drinks was significantly different for all countries (range: Australia=370 (149) ml to New Zealand=484 (191) ml; P<0·01). The mean (sd) package size of Dutch BPS drinks (1313 (323) ml) was significantly smaller compared with the other countries (New Zealand=1481 (595) ml, Australia=1542 (595) ml, Canada=1550 (434) ml; P<0·01). The mean (sd) serving size of BPS drinks was significantly different across all countries (range: Netherlands=216 (30) ml to Canada=248 (31) ml; P<0·00). New Zealand had the largest package and serving sizes of the countries assessed. In all countries, a large number of different serving sizes were used to provide information on the amount appropriate to consume in one sitting.Conclusions: At this point there is substantial inconsistency in package sizes and manufacturer-recommended serving sizes of sweet beverages within and between four high-income countries, especially for IPS drinks. As consumers do factor serving size into their judgements of healthiness of a product, serving size regulations, preferably set by governments and global health organisations, would provide consistency and assist individuals in making healthier food choices. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine the availability of packaged food products in New Zealand supermarkets by level of industrial processing, nutrient profiling score (NPSC), price (energy, unit and serving costs) and brand variety.DesignSecondary analysis of cross-sectional survey data on packaged supermarket food and non-alcoholic beverages. Products were classified according to level of industrial processing (minimally, culinary and ultra-processed) and their NPSC.SettingPackaged foods available in four major supermarkets in Auckland, New Zealand.SubjectsPackaged supermarket food products for the years 2011 and 2013.ResultsThe majority (84 % in 2011 and 83 % in 2013) of packaged foods were classified as ultra-processed. A significant positive association was found between the level of industrial processing and NPSC, i.e. ultra-processed foods had a worse nutrient profile (NPSC=11·63) than culinary processed foods (NPSC=7·95), which in turn had a worse nutrient profile than minimally processed foods (NPSC=3·27), P<0·001. No clear associations were observed between the three price measures and level of processing. The study observed many variations of virtually the same product. The ten largest food manufacturers produced 35 % of all packaged foods available.ConclusionsIn New Zealand supermarkets, ultra-processed foods comprise the largest proportion of packaged foods and are less healthy than less processed foods. The lack of significant price difference between ultra- and less processed foods suggests ultra-processed foods might provide time-poor consumers with more value for money. These findings highlight the need to improve the supermarket food supply by reducing numbers of ultra-processed foods and by reformulating products to improve their nutritional profile. [ABSTRACT FROM AUTHOR]

ObjectiveTo compare the nutrient profile of packaged supermarket food products available in Australia and New Zealand. Eligibility to carry health claims and relationship between nutrient profile score and nutritional content were also evaluated.DesignNutritional composition data were collected in six major Australian and New Zealand supermarkets in 2012. Mean Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC) scores were calculated and the proportion of products eligible to display health claims was estimated. Regression analyses quantified associations between NPSC scores and energy density, saturated fat, sugar and sodium contents.ResultsNPSC scores were derived for 23 596 packaged food products (mean score 7·0, range −17 to 53). Scores were lower (better nutrient profile) for foods in Australia compared with New Zealand (mean 6·6 v. 7·8). Overall, 45 % of foods were eligible to carry health claims based on NPSC thresholds: 47 % in Australia and 41 % in New Zealand. However, less than one-third of dairy (32 %), meat and meat products (28 %) and bread and bakery products (27·5 %) were eligible to carry health claims. Conversely, >75 % of convenience food products were eligible to carry health claims (82·5 %). Each two-unit higher NPSC score was associated with higher energy density (78 kJ/100 g), saturated fat (0·95 g/100 g), total sugar (1·5 g/100 g) and sodium (66 mg/100 g; all P values<0·001).ConclusionsFewer than half of all packaged foods available in Australia and New Zealand in 2012 met nutritional criteria to carry health claims. The few healthy choices available in key staple food categories is a concern. Improvements in nutritional quality of foods through product reformulation have significant potential to improve population diets. [ABSTRACT FROM AUTHOR]

Background: Health-related food taxes and subsidies may promote healthier diets and reduce mortality. Our aim was to estimate the effects of health-related food taxes and subsidies on deaths prevented or postponed (DPP) in New Zealand. Methods: A macrosimulation model based on household expenditure data, demand elasticities and population impact fractions for 18 diet-related diseases was used to estimate effects of five tax and subsidy regimens. We used price elasticity values for 24 major commonly consumed food groups in New Zealand, and food expenditure data from national Household Economic Surveys. Changes in mortality from cardiovascular disease, cancer, diabetes and other diet-related diseases were estimated. Findings: A 20% subsidy on fruit and vegetables would result in 560 (95% uncertainty interval, 400 to 700) DPP each year (1.9% annual all-cause mortality). A 20% tax on major dietary sources of saturated fat would result in 1,500 (950 to 2,100) DPP (5.0%), and a 20% tax on major dietary sources of sodium would result in 2,000 (1300 to 2,700) DPP (6.8%). Combining taxes on saturated fat and sodium with a fruit and vegetable subsidy would result in 2,400 (1,800 to 3,000) DPP (8.1% mortality annually). A tax on major dietary sources of greenhouse gas emissions would generate 1,200 (750 to 1,700) DPP annually (4.0%). Effects were similar or greater for Maori and low-income households in relative terms. Conclusions: Health-related food taxes and subsidies could improve diets and reduce mortality from diet-related disease in New Zealand. Our study adds to the growing evidence base suggesting food pricing policies should improve population health and reduce inequalities, but there is still much work to be done to improve estimation of health impacts. [ABSTRACT FROM AUTHOR]

Breakfast cereals substantially contribute to daily energy and nutrient intakes among children. In New Zealand, new regulations are being implemented to restrict nutrition and health claims to products that meet certain 'healthy' criteria. This study investigated the difference in nutritional quality, labelling and promotion between 'healthy' and 'less healthy' breakfast cereals, and between breakfast cereals intended for children compared with other breakfast cereals on the New Zealand market. The cross-sectional data collection involved taking pictures of the nutrition information panel (NIP) and front-of pack (FoP) for all breakfast cereals (n = 247) at two major supermarkets in Auckland in 2013. A nutrient profiling tool was used to classify products into 'healthy'/'less healthy'. In total 26% of cereals did not meet the 'healthy' criteria. 'Less healthy' cereals were significantly higher in energy density, sugar and sodium content and lower in protein and fibre content compared with 'healthy' cereals. Significantly more nutrition claims (75%) and health claims (89%) featured on 'healthy' compared with 'less healthy' cereals. On the 'less healthy' cereals, nutrition claims (65%) were more predominant than health claims (17%). Of the 52 products displaying promotional characters, 48% were for 'cereals for kids', and of those, 72% featured on 'less healthy' cereals. In conclusion, most breakfast cereals met the 'healthy' criteria; however, 'cereals for kids' were 'less healthy' and displayed more promotional characters than other cereal categories. Policy recommendations include: food composition targets set or endorsed by government, strengthening and enforcing current regulations on health and nutrition claims, considering the application of nutrient profiling for nutrition claims in addition to health claims, introducing an interpretative FoP labelling system and restricting the use of promotional characters on 'less healthy' breakfast cereals. [ABSTRACT FROM AUTHOR]

Objective: Global health challenges include non-communicable disease burdens, ensuring food security in the context of rising food prices, and environmental constraints around food production, e.g., greenhouse gas [GHG] emissions. We therefore aimed to consider optimized solutions to the mix of food items in daily diets for a developed country population: New Zealand (NZ). Methods: We conducted scenario development and linear programming to model 16 diets (some with uncertainty). Data inputs included nutrients in foods, food prices, food wastage and food-specific GHG emissions. Findings: This study identified daily dietary patterns that met key nutrient requirements for as little as a median of NZ$ 3.17 per day (US$ 2.41/d) (95% simulation interval [SI] = NZ$ 2.86 to 3.50/d). Diets that included “more familiar meals” for New Zealanders, increased the cost. The optimized diets also had low GHG emission profiles compared with the estimate for the ‘typical NZ diet’ e.g., 1.62 kg CO2e/d for one scenario (95%SI = 1.39 to 1.85 kg CO2e) compared with 10.1 kg CO2e/d, respectively. All of the optimized low-cost and low-GHG dietary patterns had likely health advantages over the current NZ dietary pattern, i.e., lower cardiovascular disease and cancer risk. Conclusions: We identified optimal foods and dietary patterns that would lower the risk of non-communicable diseases at low cost and with low greenhouse gas emission profiles. These results could help guide central and local government decisions around which foods to focus policies on. That is which foods are most suitable for: food taxes (additions and exemptions); healthy food vouchers and subsidies; and for increased use by public institutions involved in food preparation. [ABSTRACT FROM AUTHOR]

Despite increasing interest, little is known about the beliefs and views of the public in relation to the use of economic incentives as a means to promote healthy eating. This study explores views of ethnically and socioeconomically diverse shoppers regarding acceptability of economic incentives to promote healthier food purchases, and factors likely to affect the success of such schemes. Six focus groups (n = 36 participants; 14 Māori, 12 Pacific, 10 non-ethnic specific low income), were held in Auckland, New Zealand, in October 2009. A general inductive approach was used to identify common themes. The single most important reported food purchasing influence was cost. Focus group participants viewed the concept of economic incentives to promote healthy eating positively, as long as such schemes provided worthwhile incentives, and were simple and convenient to use. The preferred option for delivery was a pre-loaded electronic swipe card. Fruit and vegetables were the food group most participants said they would like to see incentivized. There was marked variability in the incentive amount thought sufficient to promote participation in such a scheme. Our findings suggest economic incentives hold promise as a means to promote healthier household food purchases, and their effectiveness should be evaluated using robust, randomized trials. [ABSTRACT FROM AUTHOR]

Abstract: The aim of this study was to assess the availability of healthier options and nutrition information at major New Zealand fast food chains. A cross-sectional survey was undertaken at 24 fast food stores (two from each of 12 major chains) using on-site visits, telephone calls, and website searches. Of available products, only 234/1126 (21%) were healthier options. Healthier options were generally cheaper and lower in energy, total fat, saturated fat, sugar, and sodium per serve than their regular counterparts. Regular options were commonly high in sugar or sodium per serve (mean sugar content of beverages=56g (11 teaspoons) and sodium content of burgers and pasta=1095mg and 1172mg, respectively). Nutrition information was available at 11/12 (92%) restaurant chains (range=0% at Tank Juice to 99% at Domino’s Pizza). However, <1% of this information was available at the point-of-purchase. Therefore, there is huge potential for improving nutrition in the New Zealand fast food restaurant setting. Implications of these findings for policy and food industry include: consideration of mandatory menu labelling, increasing the percentage of healthier options available, and improving the nutrient content of regular options at New Zealand fast food restaurants. [Copyright &y& Elsevier]

Background: Reducing health inequalities requires interventions that work as well, if not better, among disadvantaged populations. The aim of this study was to determine if the effects of price discounts and tailored nutrition education on supermarket food purchases (percentage energy from saturated fat and healthy foods purchased) vary by ethnicity, household income and education. Method: A 2×2 factorial trial of 1104 New Zealand shoppers randomised to receive a 12.5% discount on healthier foods and/or tailored nutrition education (or no intervention) for 6 months. Results: There was no overall association of price discounts or nutrition education with percentage energy from saturated fat, or nutrition education with healthy food purchasing. There was an association of price discounts with healthy food purchasing (0.79 kg/week increase; 95% CI 0.43 to 1.16) that varied by ethnicity (p=0.04): European/other 1.02 kg/week (n=755; 95% CI 0.60 to 1.43); Pacific 1.20 kg/week (n=101; 95% CI 0.06 to 2.34); Maori --0.15 kg/week (n=248; 95% CI --1.10 to 0.80). This association of price discounts with healthy food purchasing did not vary by household income or education. Conclusions: While a statistically significant variation by ethnicity in the effect of price discounts on food purchasing was found, the authors caution against a causal interpretation due to likely biases (eg, attrition) that differentially affected Maori and Pacific people. The study highlights the challenges in generating valid evidence by social groups for public health interventions. The null findings for tailored nutritional education across all social groups suggest that structural interventions (such as price) may be more effective. [ABSTRACT FROM AUTHOR]

The article presents a study which defined the effectiveness of the efforts by the Australian Division of World Action on Salt and Health, and the Heart Foundation in New Zealand to reduce sodium levels in breads in Australia and New Zealand between 2007 and 2010. Data on the sodium contents of packaged sliced bread products sold in the countries' supermarkets were obtained from the product labels. Results show that the efforts by the organizations have an impact on sodium levels in bread.

In New Zealand, the burden of nutrition-related disease is greatest among vulnerable and disadvantaged groups, including Maori and Pacific peoples. However, little research is currently available on effective ways to improve nutrition in these communities. This paper describes the development of six paper-based nutrition education resources for multi-ethnic participants in a large supermarket intervention trial. Six focus groups involving 15 Maori, 13 Pacific and 16 non-Maori, non-Pacific participants were held. A general inductive approach was applied to identify common themes around participants' understanding and thoughts on relevance and usefulness of the draft resources. Feedback from focus groups was used to modify resources accordingly. Five themes emerged across all focus groups and guided modification of the resources: (i) perceived higher cost of healthy food, (ii) difficulty in changing food-purchasing habits, (iii) lack of knowledge, understanding and information about healthy food, (iv) desire for personally relevant information that uses ethnically appropriate language and (v) other barriers to healthy eating, including limited availability of healthy food. Many issues affect the likelihood of purchase and consumption of healthy food. These issues should be taken into account when developing nutritional materials for New Zealanders and possibly other multi-ethnic populations worldwide. [ABSTRACT FROM AUTHOR]

Sugar-sweetened beverage (SSB) intake is associated with tooth decay, obesity and diabetes. We aimed to model the health and cost impact of reducing the serving size of all single serve SSB to a maximum of 250 ml in New Zealand. A 250 ml serving size cap was modeled for all instances of single serves (<600 ml) of sugar-sweetened carbonated soft drinks, fruit drinks, carbonated energy drinks, and sports drinks in the New Zealand National Nutrition Survey intake data (2008/09). A multi-state life-table model used the change in energy intake and therefore BMI to predict the resulting health gains in quality-adjusted life-years (QALYs) and health system costs over the remaining life course of the New Zealand population alive in 2011 (N = 4.4 million, 3% discounting). The 'base case' model (no compensation for reduced energy intake) resulted in an average reduction in SSB and energy intake of 23 ml and 44 kJ (11 kcal) per day or 0.22 kg of weight modeled over two years. The total health gain and cost-savings were 82,100 QALYs (95% UI: 65100 to 101,000) and NZ$1.65 billion [b] (95% UI: 1.19 b to 2.24 b, (US$1.10 b)) over the lifespan of the cohort. QALY gains increased to 116,000 when the SSB definition was widened to include fruit juices and sweetened milks. A cap on single serve SSB could be an effective part of a suite of obesity prevention and sugar reduction interventions in high income countries. [ABSTRACT FROM AUTHOR]

Sodium intake attributed to fast food is increasing globally. This research aims to develop maximum sodium reduction targets for New Zealand (NZ) fast foods and compare them with the current sodium content of products. Sodium content and serving size data were sourced from an existing database of major NZ fast-food chains. Target development followed a step-by-step process, informed by international targets and serving sizes, and previous methods for packaged supermarket foods. Sodium reduction targets were set per 100 g and serving, using a 40% reduction in the mean sodium content or the value met by 35-45% of products. Thirty-four per cent (1797/5246) of products in the database had sodium data available for target development. Sodium reduction targets were developed for 17 fast-food categories. Per 100 g targets ranged from 158 mg for 'Other salads' to 665 mg for 'Mayonnaise and dressings'. Per serving targets ranged from 118 mg for 'Sauce' to 1270 mg for 'Burgers with cured meat'. The largest difference between the current mean sodium content and corresponding target was for 'Other salads' and 'Grilled Chicken' (both -40% per 100g) and 'Fries and potato products' (-45% per serving), and the smallest, 'Pizza with cured meat toppings' (-3% per 100 g) and 'Pies, tarts, sausage rolls and quiches' (-4% per serving). The results indicate the display of nutrition information should be mandated and there is considerable room for sodium reduction in NZ fast foods. The methods described provide a model for other countries to develop country-specific, fast-food sodium reduction targets., Competing Interests: All authors declare no conflict of interest., (© The Author(s) 2024.)

Background: Dietary risk factors are the leading cause of death globally and in New Zealand (NZ). Processed packaged foods are prevalent in the food supply and contribute excess amounts of sodium, saturated fat, and sugar in diets. Improving the nutritional quality of these foods has the potential to reduce population chronic disease risk. We aimed to evaluate the healthiness using the Australasian Health Star Rating (HSR, from 0.5 to 5 stars, with 5 being the healthiest) and nutrient composition (sodium, saturated fat, and total sugar) of packaged products manufactured by the largest NZ-based food and beverage companies in NZ 2015-2019. This analysis relates to a larger study evaluating structured engagement with food companies to improve nutrition-related policies and actions., Methods: Data was sourced from Nutritrack, a NZ-branded supermarket-sourced food composition database. The largest NZ-based companies from annual retail sales revenue (n = 35) were identified using 2019 Euromonitor data. All relevant products of the selected companies were extracted for analysis. Products included totalled 17,795 with a yearly range of 3462-3672 products. The primary outcome was a nutrient profile score estimated using HSR. Healthiness was defined as ≥ 3.5 stars. Secondary outcomes were sodium, total sugar, and saturated fat per 100 g/100 mL. All outcomes were assessed overall, by food company, and food category. Change over time was tested using linear mixed models, adjusting for major food categories and cluster effects of food companies controlling for multiple comparisons. Model-adjusted mean differences between years were estimated with 95% confidence intervals., Results: There was a small statistically significant increase in mean HSR between 2015 and 2019 (0.08 [0.15,0.01], p = 0.024). Mean total sugar content decreased over the same period (0.78 g/100 g [0.08,1.47], p = 0.020), but there were no significant changes in mean sodium or saturated fat contents. Seven of the 13 categories showed small increases in mean HSR (0.1-0.2). Most categories (9/13) exhibited a reduction in mean total sugar content., Conclusions: Between 2015 and 2019, there were slight improvements in the nutritional quality of selected packaged foods and drinks in NZ. Much more substantive changes are needed to address the health-related burden of unhealthy diets, supported by stronger government action and less reliance on voluntary industry initiatives., (© 2024. The Author(s).)

Objectives: We sought to extrapolate the long-term costs and clinical impacts attributed to the rugby fans in training-New Zealand (RUFIT-NZ) trial in Aotearoa, New Zealand., Design: A modelled cost-effectiveness analysis using efficacy data from RUFIT-NZ was conducted from the Aotearoa New Zealand healthcare perspective., Setting: A Markov cohort model was constructed with a lifetime time horizon. The model simulated events of myocardial infarction (MI), stroke and type 2 diabetes mellitus (T2DM) occurring among a hypothetical cohort of 10 000 individuals receiving either the RUFIT-NZ intervention or no intervention. Efficacy data were based on the RUFIT-NZ trial, and the latest Global Burden of Disease study was used to extrapolate the impact of body weight reduction on clinical outcomes of T2DM, MI or stroke. Cost and utility data were drawn from the RUFIT-NZ trial and published sources., Primary Outcome Measures: The incremental cost-effectiveness ratio (ICER)., Results: Over a lifetime time horizon, participants in the RUFIT-NZ intervention gained 0.02 (discounted) quality-adjusted life years (QALYs) at an additional cost of NZ$863, relative to no intervention. The estimated ICER was NZ$49 515 per QALY gained (discounted), which is above the arbitrary willingness-to-pay threshold of NZ$45 000 per QALY. Sensitivity analyses supported the robustness of these findings., Conclusions: RUFIT-NZ was associated with a reduction in cardiovascular and endocrine events for overweight and obese males. However, based on conservative assumptions, RUFIT-NZ was unlikely to be cost-effective from a healthcare system perspective., Trial Registration Number: ACTRN12619000069156., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

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.

This study aimed to benchmark the healthiness of the New Zealand (NZ) fast-food supply in 2020. There are currently no actions or policies in NZ regarding the composition, serving size and labeling of fast food. Data on serving size and nutrient content of products was collected from company websites and in-store visits to 27 fast-food chains. For each fast-food category and type of combo meal, medians and interquartile ranges were calculated for serving size and energy, sodium, total sugar, and saturated fat per serving. Nutrient contents/serving were benchmarked against the United Kingdom (UK) soft drinks levy sugar thresholds and targets for salt for away from home foods, the NZ daily intake guidelines for energy, sodium, and saturated fat, and the World Health Organization (WHO) recommendation for free sugars. Analyses were conducted for the 30.3% (n = 1772) of products with available nutrition information and for 176 meal combos. Most (n = 67; 91.8%) sugar-sweetened drinks would qualify for a UK soft drink industry levy and 47% (n = 1072) of products exceeded the relevant UK sodium target. Half of the meal combos provided at least 50.3% of the daily energy requirements and at least 88.6% of the maximum recommended intake of sodium. Fast-food products and combo meals in NZ contribute far more energy and negative nutrients to recommended daily intake targets than is optimal for good health. The NZ Government should set reformulation targets and serving size guidance to reduce the potential impact of fast- food consumption on the health of New Zealanders.

We aimed to compare New Zealand private label (PL) and branded label (BL) packaged food products in relation to their current (2019) healthiness (sodium and sugar contents, and estimated Health Star Rating (HSR) score), display of the voluntary HSR nutrition label on the package, and price. Healthiness and HSR display of products were also explored over time (2015 to 2019). Data were obtained from Nutritrack, a brand-specific food composition database. Means and proportions were compared using Student t -tests and Pearson chi-square tests, respectively. Changes over time were assessed using linear regression and chi-square tests for trends (Mantel-Haenzel tests). Altogether, 4266 PL and 19,318 BL products across 21 food categories were included. Overall, PL products in 2019 had a significantly lower mean sodium content and price, a higher proportion of products with estimated HSR ≥ 3.5/5 (48.9% vs. 38.5%) and were more likely to display the HSR on the pack compared with BL products (92.4% vs. 17.2%, respectively). However, for most food categories, no significant difference was found in mean sodium or sugar content between PL and BL products. In the period 2015-2019, there were no consistent changes in estimated HSR score, sodium or sugar contents of PL or BL products, but there was an increase in the proportion of both PL and BL products displaying HSR labels. In most food categories, there were PL options available which were similar in nutritional composition, more likely to be labelled with the HSR, and lower in cost than their branded counterparts.

Objective: The Health Star Rating (HSR) is a voluntary front-of-pack nutrition labelling system that rates products from ½ to 5 stars (five being healthiest). The Chilean Warning Label system displays warnings on foods high in sugar, saturated fat, sodium, or energy. We aimed to evaluate alignment between the systems., Methods: New Zealand packaged products (n=13,868) were classified according to the two systems. Alignment was assessed by cross-checking the number of products meeting the criteria for warnings against star ratings. Products with no warnings but an HSR <2, or with >1 warning but an HSR of ≥3.5 were considered outliers., Results: Two-thirds of products met the criteria for at least one warning. There was a significant positive relationship between the number of warnings and mean HSR: 0 warnings = HSR 3.77±.0166 (p<0.001), 1 warning = HSR 2.70±.0206 (p<0.001) and >1 warning = HSR 2.00±.0160 (p<0.001). The systems were non-aligned for 1,117 products (8%)., Conclusion: HSR and the Chilean Warning Label systems are broadly aligned. Non-alignment is due to the Chilean system restricting warnings to foods containing added ingredients and HSR awarding points for positive components. Implications for public health: These results could be helpful in informing improvements to the HSR system., (© 2019 The Authors.)

Price is a key determinant of food choice, particularly for low-income households who may be more sensitive to price-lowering strategies such as price promotions and generic/retailer-owned brands. Price-lowering strategies may therefore represent important policy targets to improve population nutrition and reduce inequities. This study aimed to describe household purchasing patterns of price promoted and generic branded foods and beverages in New Zealand (2016-2017). One year of grocery purchase data from a national consumer research panel in New Zealand (n = 1778 households) were analysed. Purchases were classified by processing level and food type. Linear mixed models were fitted to estimate the mean proportion of annual household purchases (unique items and volumes (kg/L)) that were price promoted or generic branded (overall and by food category), and to assess whether purchasing patterns were modified by income level. On average, price promoted products constituted 50% (95%CIs; 49,51) of all unique annual household grocery items purchased. Fifty-nine percent (95%CIs; 58,60) of processed, 55% (95%CIs; 54,56) of ultra-processed, 45% (95%CIs; 44,46) of unprocessed and 45% (95%CIs; 44,46) of ingredient purchases were price promoted. By volume, the proportion of purchases that were price promoted was highest for meat (65%[95%CIs; 64,66]), sugar-sweetened beverages (64%[95%CIs; 62,65]), dairy foods (64%[95%CIs; 63,66]), confectionary (64%[95%CIs; 63,66]), snack foods (63%[95%CIs; 61,64]), oils (61%[95%CIs; 60,62]) and non-sugar-sweetened beverages (60%[95%CIs; 58,62]), and lowest for dairy beverages (30%[95%CIs; 28,31]), sugar/honey (33%[95%CIs; 32,35]) and sauces/spreads (39%[95%CIs; 37,40]). On average, generic brands constituted 10% (95%CIs; 9,10) of all household purchases. Overall, a significantly greater proportion of purchases made by low and middle-income households were price promoted and generic branded compared to high-income households (p < 0.001 for both), a pattern generally observed across food categories. This study supports recent calls to address unhealthy food and beverage price promotions in comprehensive policy strategies aiming to improve population diets and weight., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Low sodium and high potassium intakes in childhood protect against rises in blood pressure (BP) and risk of cardiovascular disease (CVD) later in life. Our aim was to pilot methods for collection of 24-h urine samples (gold standard) and diet recalls to assess sodium and potassium intakes and their food sources in 30 children aged 8⁻11 years at one New Zealand primary school. A diverse sample ( n = 27) was recruited over a two-week period. All children provided a urine sample (71% complete) and interviewer-assisted 24-h diet recall (Intake24 software). Median (range) sodium intake was 2191 (1087 to 4786) mg/day (salt equivalent 5.5 g), potassium intake was 1776 (800⁻2981) mg/day, BP was 105 (84⁻129)/62 (53⁻89) mmHg, and sodium to potassium molar ratio was 2.0 (1.1⁻4.8). Frequent use of discretionary salt was uncommon. Major food sources of sodium were bread, pies and pastries, and bread and pasta-based dishes, and potassium were sauces and condiments, dairy products, and non-alcoholic beverages. Most participants provided adequate data and enjoyed taking part. A larger survey is warranted to confirm findings and inform a potential intervention(s). Small improvements to study procedures and resources should improve completeness of urine samples and quality of 24-h diet recall data.

Background: The nutritional composition of foods and beverages consumed away from the home has important implications for population health. Our objective was to determine if the serve size, energy, and sodium contents of fast foods sold at chain restaurants in New Zealand (NZ) changed between 2012 and 2016., Methods: Serve size and nutrient data were collected in annual cross-sectional surveys of all products sold at 10 major fast food chains. Changes over time may occur due to alterations in product availability or individual product reformulation. Linear regression adjusting for food group and chain was used to estimate overall changes in serve size and nutrients. Random effects mixed models were used to estimate reformulation changes on same products available for two or more years., Results: Across all products (n = 5468) increases were observed in mean serve size (+ 9 (3, 15) g, + 5%), energy density (+ 54 (27, 81) kJ/100 g, + 6%), energy per serve (+ 178 (125, 231) kJ, + 14%), and sodium per serve (+ 55 (24, 87) mg, + 12%). Sodium density did not change significantly. Four of 12 food groups (Desserts, Pizza, Sandwiches, and Salads) and four of 10 fast food chains (Domino's, Hell Pizza, Pizza Hut, and Subway) displayed large, undesirable changes for three or more (of five) outcomes (≥10%; p < 0.05). One food group (Asian) and one chain (St Pierre's) displayed large, desirable changes for two or more outcomes. The only significant reformulation change was a drop in sodium density (- 22 (- 36, - 8) mg/100 g, - 7%)., Conclusions: The serve size and energy density of NZ fast food products has increased significantly over the past 5 years. Lower sodium concentration in new and reformulated products has been offset by overall increases in serve size. Continued monitoring and development and implementation of Government-led targets for serve size and nutrient content of new and existing fast food products are required.

Interpretive, front-of-pack (FOP) nutrition labels may encourage reformulation of packaged foods. We aimed to evaluate the effects of the Health Star Rating (HSR), a new voluntary interpretive FOP labelling system, on food reformulation in New Zealand. Annual surveys of packaged food and beverage labelling and composition were undertaken in supermarkets before and after adoption of HSR i.e., 2014 to 2016. Outcomes assessed were HSR uptake by food group star ratings of products displaying a HSR label; nutritional composition of products displaying HSR compared with non-HSR products; and the composition of products displaying HSR labels in 2016 compared with their composition prior to introduction of HSR. In 2016, two years after adoption of the voluntary system, 5.3% of packaged food and beverage products surveyed ( n = 807/15,357) displayed HSR labels. The highest rates of uptake were for cereals, convenience foods, packaged fruit and vegetables, sauces and spreads, and 'Other' products (predominantly breakfast beverages). Products displaying HSR labels had higher energy density but had significantly lower mean saturated fat, total sugar and sodium, and higher fibre, contents than non-HSR products (all p -values < 0.001). Small but statistically significant changes were observed in mean energy density (-29 KJ/100 g, p = 0.002), sodium (-49 mg/100 g, p = 0.03) and fibre (+0.5 g/100 g, p = 0.001) contents of HSR-labelled products compared with their composition prior to adoption of HSR. Reformulation of HSR-labelled products was greater than that of non-HSR-labelled products over the same period, e.g., energy reduction in HSR products was greater than in non-HSR products (-1.5% versus -0.4%), and sodium content of HSR products decreased by 4.6% while that of non-HSR products increased by 3.1%. We conclude that roll-out of the voluntary HSR labelling system is driving healthier reformulation of some products. Greater uptake across the full food supply should improve population diets.

Objectives: Delivery of interventions via smartphone is a relatively new initiative in public health, and limited evidence exists regarding optimal strategies for recruitment. We describe the effectiveness of approaches used to recruit participants to a smartphone-enabled nutrition intervention trial., Methods: Internet and social media advertising, mainstream media advertising and research team networks were used to recruit New Zealand adults to a fully automated smartphone-delivered nutrition labelling trial (no face-to-face visits were required). Recruitment of Māori and Pacific participants was a key focus and ethically relevant recruitment materials and approaches were used where possible. The effectiveness of recruitment strategies was evaluated using Google Analytics, monitoring of study website registrations and randomisations, and self-reported participant data. The cost of the various strategies and associations with participant demographics were assessed., Results: Over a period of 13 months, there were 2448 registrations on the study website, and 1357 eligible individuals were randomised into the study (55%). Facebook campaigns were the most successful recruitment strategy overall (43% of all randomised participants) and for all ethnic groups (Māori 44%, Pacific 44% and other 43%). Significant associations were observed between recruitment strategy and age (p<0.001), household size (p<0.001), ethnicity (p<0.001), gender (p=0.005) and interest in healthy eating (p=0.022). Facebook campaigns resulted in the highest absolute numbers of study registrations and randomisations (966 and 584, respectively). Network strategies and Facebook campaigns cost least per randomised participant (NZ$4 and NZ$5, respectively), whereas radio advertising costs most (NZ$179 per participant)., Conclusion: Internet and social media advertising were the most effective and least costly approaches to recruiting participants to a smartphone-delivered trial. These approaches also reached diverse ethnic groups. However, more culturally appropriate recruitment strategies are likely to be necessary in studies where large numbers of participants from specific ethnic groups are sought., Trial Registration: ACTRN12614000644662; Post-results., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Decreasing population sodium intake has been identified as a "best buy" for reducing non-communicable disease. The aim of this study was to explore 10-year changes in the sodium content of New Zealand processed foods. Nutrient data for nine key food groups were collected in supermarkets in 2003 (n = 323) and 2013 (n = 885). Mean (SD) and median (min, max) sodium content were calculated by food group, year and label type (private/branded). Paired t-tests explored changes in sodium content for all products available for sale in both years (matched; n = 182). The mean (SD) sodium content of all foods was 436 (263) mg (100 g)(-1) in 2003 and 433 (304) mg (100 g)(-1) in 2013, with no significant difference in matched products over time (mean (SD) difference, -56 (122) mg (100 g)(-1), 12%; p = 0.22). The largest percentage reductions in sodium (for matched products) were observed for Breakfast Cereals (28%; -123 (125) mg (100 g)(-1)), Canned Spaghetti (15%; -76 (111) mg (100 g)(-1)) and Bread (14%; -68 (69) mg (100 g)(-1)). The reduction in sodium was greater for matched private vs. branded foods (-69 vs. -50 mg (100 g)(-1), both p < 0.001). There has been modest progress with sodium reduction in some New Zealand food categories over the past 10 years. A renewed focus across the whole food supply is needed if New Zealand is to meet its global commitment to reducing population sodium intake.

Background: Cardiovascular disease (CVD) is the leading cause of early death worldwide, responsible for an estimated 29% of all global deaths. Reducing salt intake lowers blood pressure and risk of secondary cardiac events. However, identifying low salt foods can be challenging. SaltSwitch is a simple smartphone application (app) that enables shoppers to scan the barcode of packaged foods and receive an immediate, interpretive, traffic light nutrition label on the screen, along with suggestions for healthier lower-salt alternatives. A growing body of evidence suggests mobile technologies can support healthy behaviour change. However, robust evidence for the impact of smartphone interventions is lacking. This manuscript outlines the rationale and methods for a randomized controlled trial designed to determine the effectiveness of SaltSwitch in supporting people with CVD to make lower-salt food choices., Design/methods: A 6-week, two-arm, parallel, randomized controlled trial is being undertaken in New Zealand (2 weeks baseline and 4 weeks intervention). Three hundred adults aged 40 years and older with CVD and their main household shoppers are recruited from research lists, cardiac rehabilitation clinics, and communities in Auckland. Participants are randomized to receive either the SaltSwitch smartphone app or no intervention (control). Randomisation is stratified by ethnicity and age. The primary outcome is the salt content of household food purchases. Secondary outcomes are the saturated fat and energy content of household food purchases, household food expenditure, use and acceptability of the SaltSwitch app by shoppers, and urinary sodium and blood pressure of participants with CVD. Ambulatory blood pressure and potential longer-term impact (12 weeks) of SaltSwitch will be assessed in sub-studies (n ~ 40 and n ~ 20, respectively). Household purchases of salt and other nutrients will be assessed using till receipt data electronically linked with branded food composition data., Discussion: The results of the SaltSwitch trial will determine the effectiveness, use and acceptability of a smartphone application to support lower salt food choices and secondary prevention of CVD., Trial Registration: ACTRN12614000206628. Registered 30 March 2014.

Objective: To assess the application of Multiple Traffic Light (MTL) nutrition labels and the Food Standards Australia New Zealand (FSANZ) Nutrient Profiling Standard Calculator (NPSC) to foods and their agreement in classification of foods., Methods: MTL and NPSC criteria were applied to selected packaged food products available in New Zealand (NZ) supermarkets in 2011: 157 breakfast cereals; 128 cereal bars; 40 pizzas; 69 sausages and hotdogs; and 13 burgers. A points-based system combined MTL criteria into an overall score to enable comparison of food classification by the two systems., Results: Based on NPSC criteria, 156 (38%) NZ packaged food products were eligible to carry a health claim and thus classified as 'healthy'; 251 were 'less healthy'. Based on MTL criteria most 'healthy' products (61%) would also receive one red light. Using the MTL score, only 14% of products were classified as 'healthy'. Percentage agreement between the two systems was 73%., Conclusions: More than half of NZ packaged foods are 'less healthy' according to criteria underpinning two front-of-pack labelling systems. A number of foods eligible to carry health claims would display at least one red traffic light if MTL were introduced., (© 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia.)

Objective: There has been a growing interest in tailored nutrition education over the previous decade, with a number of literature reviews suggesting this intervention strategy holds considerable potential. Nevertheless, the majority of intervention trials undertaken to date have employed subjective self-report outcome measures (such as dietary recalls). The aim of the present review is to further consider the likely true effect of tailored nutrition education by assessing the findings of tailored nutrition education intervention trials where objective outcome measures (such as sales data) have been employed., Results: Four trials of tailored nutrition education employing objective outcome measures were identified: one was undertaken in eight low-cost supermarkets in New Zealand (2010; n 1104); one was an online intervention trial in Australia (2006; n 497); and two were undertaken in US supermarkets (1997 and 2001; n 105 and 296, respectively). Findings from the high-quality New Zealand trial were negative. Findings from the US trials were also generally negative, although reporting was poor making it difficult to assess quality. Findings from the high-quality online trial were positive, although have limited generalisability for public health., Conclusions: Trials employing objective outcome measures strongly suggest tailored nutrition education is not effective as a stand-alone strategy. However, further large, high-quality trials employing objective outcome measures are needed to determine the true effectiveness of this popular nutrition intervention strategy. Regardless, education plays an important role in generating social understanding and acceptance of broader interventions to improve nutrition.

Background: Traditional methods to improve population diets have largely relied on individual responsibility, but there is growing interest in structural interventions such as pricing policies., Objective: The aim was to evaluate the effect of price discounts and tailored nutrition education on supermarket food and nutrient purchases., Design: A 2 x 2 factorial randomized controlled trial was conducted in 8 New Zealand supermarkets. A total of 1104 shoppers were randomly assigned to 1 of the following 4 interventions that were delivered over 6 mo: price discounts (12.5%) on healthier foods, tailored nutrition education, discounts plus education, or control (no intervention). The primary outcome was change in saturated fat purchased at 6 mo. Secondary outcomes were changes in other nutrients and foods purchased at 6 and 12 mo. Outcomes were assessed by using electronic scanner sales data., Results: At 6 mo, the difference in saturated fat purchased for price discounts on healthier foods compared with that purchased for no discount on healthier foods was -0.02% (95% CI: -0.40%, 0.36%; P = 0.91). The corresponding difference for tailored nutrition education compared with that for no education was -0.09% (95% CI: -0.47%, 0.30%; P = 0.66). However, those subjects who were randomly assigned to receive price discounts bought significantly more predefined healthier foods at 6 mo (11% more; mean difference: 0.79 kg/wk; 95% CI: 0.43, 1.16; P < 0.001) and 12 mo (5% more; mean difference: 0.38 kg/wk; 95% CI: 0.01, 0.76; P = 0.045). Education had no effect on food purchases., Conclusions: Neither price discounts nor tailored nutrition education had a significant effect on nutrients purchased. However, the significant and sustained effect of discounts on food purchases suggests that pricing strategies hold promise as a means to improve population diets.