The neglected potential of red and processed meat replacement with alternative protein sources: Simulation modelling and systematic review.

Background: What we eat is fundamental to human and planetary health, with the current global dietary transition towards increased red meat intakes and ultra-processed foods likely detrimental. Methods: We modelled five red and processed meat replacement scenarios to consider health, equity, greenhouse gas emissions (GHGe), and cost outcomes using an established multistate life table model using data from New Zealand as a case study of a developed, westernised country. Current red and processed meat intakes were replaced with: minimally or ultra-processed plant based meat alternatives, cellular meat, or diets in line with EAT-Lancet or Heart Foundation recommendations on red meat intake. We then conducted a systematic review of literature from database inception to 14 November 2022 to identify implemented population-level meat replacement strategies which could inform evidence-based recommendations to achieve any benefits observed in modelling. PROSPERO CRD42020200023. Findings: When compared with current red and processed meat intakes, all red and processed meat replacement scenarios were nutritionally adequate and improved overall Quality Adjusted Life Years (159-297 per 1000 people over life course for the five scenarios modelled). Age standardised per capita health gain for Maori was 1.6-2.3 times that of non-Maori. Health system cost savings were $2530-$5096 per adult, and GHGe reduced 19-35%. Finally, grocery cost varied (↓7%-↑2%) per modelled scenario when compared with baseline costs. The greatest benefits for all outcomes were achieved by meat replacement with minimally-processed plant-based foods, such as legumes. The systematic review identified only two implemented population-level strategies to reduce meat intakes within the academic literature. Interpretation: All meat replacement scenarios considered indicated appreciable health gains and GHGe reductions. Replacement with minimally-processed plant-based foods appeared consistently superior than other scenarios. Evidence of real-world population strategies to achieve these benefits however is currently lacking. Funding: Healthier Lives National Science Challenge (Grant UOOX1902).

2021 Assessment of New Zealand district health boards' institutional healthy food and drink policies: the HealthY Policy Evaluation (HYPE) study.

AIM: To assess adoption of the voluntary National Healthy Food and Drink Policy (NHFDP) and the alignment of individual institutional healthy food and drink policies with the NHFDP. METHOD: All 20 district health boards (DHBs) and two national government agencies participated. Policies of those organisations that had not fully adopted the NHFDP were assessed across three domains: nutrition standards; promotion of a healthy food and beverages environment; and policy communication, implementation and evaluation. Three weighted domain scores out of 10, and a total score out of 30 were calculated. RESULTS: Nine of the 22 organisations reported adopting the NHFDP in full. Of the remaining 13, six referred to the NHFDP when developing their institutional policy and three were working toward full adoption of the NHFDP. Mean scores (SD) were 8.7 (1.0), 6.1 (2.6) and 3.8 (2.2) for the three domains, and 18.6 (4.8) in total. Most individual institutional policies were not as comprehensive as the NHFDP. However, some contained stricter/additional clauses that would be useful to incorporate into the NHFDP. CONCLUSION: Since a similar policy analysis in 2018, most DHBs have adopted the NHFDP and/or strengthened their own nutrition policies. Regional inconsistency remains and a uniform mandatory NHFDP should be implemented that incorporates improvements identified in individual institutional policies.

Understanding Enablers and Barriers to the Implementation of Nutrition Standards in Publicly Funded Institutions in Victoria.

Effective implementation of nutrition standards in publicly funded institutions can facilitate healthy food and beverage consumption by communities and populations, which can enable improvements in dietary intake and reduce disease burden. This study aimed to understand stakeholder perspectives on the implementation of government nutrition standards in publicly funded institutions in the Australian state of Victoria, as well as to determine enablers and barriers to successful implementation. Pre-interview questionnaires and semi-structured interviews were administered to stakeholders involved in the implementation of nutrition standards in publicly funded institutions in Victoria. The Interactive Systems Framework, which allows understanding of the infrastructure and systems needed to implement policies, was used to design the survey instruments and guide the data analysis. Forty-four stakeholders were interviewed, including program implementers, support personnel and food providers, across public sector hospitals and health services, workplaces, sport and recreation centres and schools. Though translated materials and resources have been developed for end-users to facilitate uptake and implementation, current nutrition standards were perceived to be long and complex, which hindered implementation. The existence of a government-funded implementation support service enabled action by providing technical support, troubleshooting and capacity-building. A specific pathway for successful guideline implementation was determined through the analysis. Opportunities to close the policy-implementation gap were identified. This will be crucial to maximising the impact of nutrition standards on population diets and reducing diet-related disease. Strengthening the guidelines and their governance, streamlining the support system and overcoming barriers within and outside of implementing organisations, are urgently required to propel statewide progress.

A Global Review of National Strategies to Reduce Sodium Concentrations in Packaged Foods.

Strategies to reduce sodium concentrations in packaged foods are effective and cost-effective approaches to reducing the burden of disease attributable to high sodium intakes. This review aimed to comprehensively describe, and explore characteristics of, national strategies to reduce sodium concentrations in packaged foods, and assess progress toward achieving national goals. A secondary aim was to understand the number, type, and variation of food category sodium targets set by countries compared with WHO global sodium benchmarks. National sodium reduction reformulation strategies were identified from a search of peer-reviewed and gray literature up to December 2019 supplemented by verified information from key contacts and experts up to December 2020. Key characteristics of countries' strategies were extracted, synthesized, and descriptively analyzed, including details of reformulation strategies and evaluation data. Country targets were mapped to the WHO global sodium benchmarks, and the number and variation of country sodium targets by WHO food categories were determined. Sixty-two countries had reformulation strategies to reduce sodium in packaged foods, and 19 countries had evaluated their reformulation strategies. Forty-three countries had sodium targets, which varied in type of targets (maximum sodium concentration: n = 26; maximum concentration plus relative reduction/average/sales-weighted average: n = 8; relative reduction: n = 7; average: n = 2), number of food category targets (range: n = 1 to 150), and regulatory approach (voluntary: n = 28; mandatory: n = 9; both: n = 6). Eight of 34 countries mapped to the WHO benchmarks had targets for just 1 specified food category (bread products). One-third of all countries were implementing national strategies to reduce sodium concentrations in packaged foods including establishing targets and/or processes for industry engagement. This review determined that there is scope to improve most countries' strategies. There has been limited progress in implementing and evaluating strategies between 2014 and 2019, and regional and income-level disparities persist. The WHO global sodium benchmarks present an important opportunity to accelerate reformulation action globally.

Impact of taxes on purchases of close substitute foods: analysis of cross-price elasticities using data from a randomized experiment.

OBJECTIVE: To examine the effects of health-related food taxes on substitution and complementary purchases within food groups, including from unhealthier to healthier alternatives and between brands. METHODS: We used data from a virtual supermarket experiment with data from 4,259 shopping events linked to varying price sets. Substitution or complementary effects within six frequently purchased food categories were analyzed. Products' own- and cross-price elasticities were analyzed using Almost Ideal Demand System models. RESULTS: Overall, 37.5% of cross-price elasticities were significant (p < 0.05) and included values greater than 0.10. Supplementary and complementary effects were particularly found in the dairy, meats and snacks categories. For example, a 1% increase in the price of high saturated fat dairy was associated with a 0.18% (SE 0.06%) increase in purchases of low saturated fat dairy. For name- and home-brand products, significant substitution effects were found in 50% (n = 3) of cases, but only in one case this was above the 0.10 threshold. CONCLUSIONS/POLICY IMPLICATIONS: Given the relatively low own-price elasticities and the limited substitution and complementary effects, relatively high taxes are needed to substantively increase healthy food purchases at the population level. TRIAL REGISTRATION: This study included secondary analyses; the original trial was registered in the Australian New Zealand Clinical Trials Registry ACTRN12616000122459 .

Measuring the Healthiness of Ready-to-Eat Child-Targeted Cereals: Evaluation of the FoodSwitch Platform in Sweden.

BACKGROUND: Childhood obesity is a major public health issue. The increase in the consumption of foods with poor nutritional value, such as processed foods, contributes to this. Breakfast cereals are often advertised as a healthy way to start the day, but the healthiness of these products varies greatly. OBJECTIVE: Our main objective was to gather information about the nutritional characteristics of ready-to-eat breakfast cereals in Sweden and to investigate the healthiness of products targeted at children compared to other cereals by use of the FoodSwitch platform. A secondary objective was to evaluate the alignment between the Keyhole symbol and the Health Star Rating. METHODS: The FoodSwitch app is a mobile health (mHealth) tool used to present nutrition data and healthier alternative products to consumers. Ready-to-eat breakfast cereals from the largest Swedish grocery retailers were collected using the FoodSwitch platform. Products were defined as targeting children if they presented features addressing children on the package. RESULTS: Overall, information on 261 ready-to-eat cereals was examined. Of this total, 8% (n=21) were targeted at children. Child-targeted cereals were higher in sugar (22.3 g/100 g vs 12.8 g/100 g, P<.001) and lower in fiber (6.2 g/100 g vs 9.8 g/100 g, P<.001) and protein (8.1 g/100 g vs 10.5 g/100 g, P<.001). Total fat (3 g/100 g vs 10.5 g/100 g, P<.001) and saturated fat (0.8 g/100 g vs 2.6 g/100 g, P<.001) were also lower. No difference was found in salt content (P=.61). Fewer child-targeted breakfast cereals displayed an on-pack Keyhole label (n=1, 5% vs n=53, 22%; P=.06), and the mean Health Star Rating value was 3.5 for child-targeted cereals compared to others (mean 3.8, P=.07). A correlation was found between the Keyhole symbol and the Health Star Rating. CONCLUSIONS: Ready-to-eat breakfast cereals targeted at children were less healthy in terms of sugar and fiber content compared to products not targeted at children. There is a need to improve the nutritional quality of child-targeted cereals.

Prospective associations of the original Food Standards Agency nutrient profiling system and three variants with weight gain, overweight and obesity risk: results from the French NutriNet-Santé cohort.

Nutrient profiling systems (NPS) are used to classify foods according to their nutritional composition. However, investigating their prospective associations with health is key to their validation. The study investigated the associations of the original Food Standards Agency (FSA)-NPS and three variants (Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC), Health Star Rating NPS and the French High Council of Public Health NPS (HCSP-NPS)), with weight status. Individual dietary indices based on each NPS at the food level were computed to characterise the dietary quality of 71 403 French individuals from the NutriNet-Santé cohort. Associations of these indices with weight gain were assessed using mixed models and with overweight and obesity risks using Cox models. Participants with a higher dietary index (reflecting lower diet nutritional quality) were more likely to have a significant increase in BMI over time (ß-coefficients positive) and an increased risk of overweight (hazard ratio (HR) T3 v. T1 = 1·27 (95 % CI 1·17, 1·37)) for the HCSP-Dietary Index, followed by the original FSA-Dietary Index (HR T3 v. T1 = 1·18 (95 % CI 1·09, 1·28)), the NPSC-Dietary Index (HR T3 v. T1 = 1·14 (95 % CI 1·06, 1·24)) and the Health Star Rating-Dietary Index (HR T3 v. T1 = 1·12 (95 % CI 1·04, 1·21)). Whilst differences were small, the HCSP-Dietary Index appeared to show significantly greater association with overweight risk. Overall, these results show the validity of NPS derived from the FSA-NPS, supporting their use in public policies for chronic disease prevention.

Correction to: Contribution of major food companies and their products to household dietary sodium purchases in Australia.

An amendment to this paper has been published and can be accessed via the original article.

Exploring Pasifika wellbeing: findings from a large cluster randomised controlled trial of a mobile health intervention programme.

AIM: The primary objective of this study was to determine the effect of a mobile health (mHealth) intervention on the wellbeing of Pasifika peoples, and to explore factors associated with Pasifika wellbeing. METHODS: The OL@-OR@ mHealth programme was a co-designed smartphone app. Culturally relevant data was collected to examine holistic health and wellbeing status, at baseline, and at 12 weeks (end of the trial). The concept of wellbeing was examined as part of a two-arm, cluster randomised trial, using only the Pasifika data: 389 (of 726) Pasifika adults were randomised to receive the mHealth intervention, while 405 (of 725) Pasifika adults were randomised to receive a control version of the intervention. Culturally relevant data was collected to examine holistic health and wellbeing status, at baseline, and at 12 weeks (end of the trial). The intervention effects and the association of demographic and behavioural relationships with wellbeing, was examined using logistic regression analyses. RESULTS: Relative to baseline, there were significant differences between the intervention and control groups for the 'family/community' wellbeing, at the end of the 12-week trial. There were no significant differences observed for all other wellbeing domains for both groups. Based on our multivariate regression analyses, education and acculturation (assimilation and marginalisation) were identified as positively strong factors associated to Pasifika 'family and community' wellbeing. CONCLUSION: Our study provides new insights on how Pasifika peoples' characteristics and behaviours align to wellbeing. Our findings point to 'family and community' as being the most important wellbeing factor for Pasifika peoples.

Contribution of major food companies and their products to household dietary sodium purchases in Australia.

BACKGROUND: The Australian federal government will soon release voluntary sodium reduction targets for 30 packaged food categories through the Healthy Food Partnership. Previous assessments of voluntary targets show variable industry engagement, and little is known about the extent that major food companies and their products contribute to dietary sodium purchases among Australian households. METHODS: The aim of this cross-sectional study was to identify the relative contribution that food companies and their products made to Australian household sodium purchases in 2018, and to examine differences in sodium purchases by household income level. We used 1 year of grocery purchase data from a nationally representative consumer panel of Australian households who reported their grocery purchases (the Nielsen Homescan panel), combined with database that contains product-specific sodium content for packaged foods and beverages (FoodSwitch). The top food companies and food categories were ranked according to their contribution to household sodium purchases. Differences in per capita sodium purchases by income levels were assessed by 1-factor ANOVA. All analyses were modelled to the Australian population in 2018 using sample weights. RESULTS: Sodium data were available from 7188 households who purchased 26,728 unique products and purchased just under 7.5 million food product units. Out of 1329 food companies, the top 10 accounted for 35% of unique products and contributed to 58% of all sodium purchased from packaged foods and beverages. The top three companies were grocery food retailers each contributing 12-15% of sodium purchases from sales of their private label products, particularly processed meat, cheese and bread. Out of the 67 food categories, the top 10 accounted for 73% of sodium purchased, particularly driven by purchases of processed meat (14%), bread (12%) and sauces (11%). Low-income Australian households purchased significantly more sodium from packaged products than high-income households per capita (452 mg/d, 95%CI: 363-540 mg/d, P < 0.001). CONCLUSIONS: A small number of food companies and food categories account for most of the dietary sodium purchased by Australian households. Prioritizing government engagement with these groups could deliver a large reduction in population sodium intake.

A review of the uses and reliability of food balance sheets in health research.

CONTEXT: Food Balance Sheets (FBSs) are constructed by the Food and Agricultural Organization (FAO) and portray the food supply and utilization pattern of a country over time. OBJECTIVE: To examine and analyse the uses of FAO-FBS data in international studies of health and nutrition, and to identify the reported strengths, limitations and reliability of FBS. DATA SOURCES: PubMed, SCOPUS, EMBASE, Food Science and Technology Abstracts (FSTA) and Google Scholar. DATA EXTRACTION: Data extracted were author, year of publication, country/countries of the study, aim, study design, analysis, data collected, data sources and outcomes. Additional relevant information (e.g. strengths and limitations of the FBS), were also included. The bibliographies of all included studies were further searched, and any potentially relevant studies retrieved and assessed. DATA ANALYSIS: 119 eligible studies (all study designs) published from the earliest available to the end of April, 2016 were collated into five categories of use: within-country analysis of food availability, nutrient availability and/or dietary trends (n = 17); inter-country, regional or global comparison of food groups, nutrient availability and/or dietary trends (n = 45); comparison of FBS with other national sources of dietary data (n = 7); association between FBS dietary factors and mortality or health outcomes (n = 45); and modelling studies (n = 5). CONCLUSION: Studies indicate that FBS are useful for international comparison and analysis of trends over time, as they are standardized and updated regularly. FBS data are more reliable when averaged over several years; when results are reported as nutrient densities, trends, and percentage of energy or ratios, rather than absolute values. Also, users should be aware that the quality of FBS data depends on the reliability of national input data. The FBS is a vital source of global food composition data and is valuable for epidemiological studies when reported and analysed appropriately.

Modelling the health impact of food taxes and subsidies with price elasticities: The case for additional scaling of food consumption using the total food expenditure elasticity.

BACKGROUND: Food taxes and subsidies are one intervention to address poor diets. Price elasticity (PE) matrices are commonly used to model the change in food purchasing. Usually a PE matrix is generated in one setting then applied to another setting with differing starting consumptions and prices of foods. This violates econometric assumptions resulting in likely mis-estimation of total food consumption. In this paper we demonstrate this problem, canvass possible options for rescaling all consumption after applying a PE matrix, and illustrate the use of a total food expenditure elasticity (TFEe; the expenditure elasticity for all food combined given the policy-induced change in the total price of food). We use case studies of: NZ$2 per 100g saturated fat (SAFA) tax, NZ$0.4 per 100g sugar tax, and a 20% fruit and vegetable (F&V) subsidy. METHODS: We estimated changes in food purchasing using a NZ PE matrix applied conventionally, and then with TFEe adjustment. Impacts were quantified for pre- to post-policy changes in total food expenditure and health adjusted life years (HALYs) for the total NZ population alive in 2011 over the rest of their lifetime using a multistate lifetable model. RESULTS: Two NZ studies gave TFEe's of 0.68 and 0.83, with international estimates ranging from 0.46 to 0.90 (except a UK outlier of 0.04). Without TFEe adjustment, total food expenditure decreased with the tax policies and increased with the F&V subsidy-implausible directions of shift given economic theory and the external TFEe estimates. After TFEe adjustment, HALY gains reduced by a third to a half for the two taxes and reversed from an apparent health loss to a health gain for the F&V subsidy. With TFEe adjustment, HALY gains (in 1000's) were: 1,805 (95% uncertainty interval 1,337 to 2,340) for the SAFA tax; 1,671 (1,220 to 2,269) for the sugar tax; and 953 (453 to 1,308) for the F&V subsidy. CONCLUSIONS: If PE matrices are applied in settings beyond where they were derived, additional scaling is likely required. We suggest that the TFEe is a useful scalar, but we also encourage other researchers to examine this issue and propose alternative options.

Do purchases of price promoted and generic branded foods and beverages vary according to food category and income level? Evidence from a consumer research panel.

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.

Stars versus warnings: Comparison of the Australasian Health Star Rating nutrition labelling system with Chilean Warning Labels.

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.

Reducing children's sugar intake through food reformulation: methods for estimating sugar reduction program targets, using New Zealand as a case study.

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.

The effect of food price changes on consumer purchases: a randomised experiment.

BACKGROUND: Most evidence on health-related food taxes and subsidies relies on observational data and effects on single nutrients or foods instead of total diet. The aim of this study was to measure the effect of randomly assigned food price variations on consumer purchasing, where sets of prices emulated commonly discussed food tax and subsidy policies, including a subsidy on fruit and vegetables, a sweetened beverage tax, and taxes on foods according to sugar, sodium, and saturated fat content. METHODS: In this study, adult participants (≥18 years) in New Zealand completed up to five weekly shops in a virtual supermarket. Each shopping occasion was randomly allocated to control (no change in prices) or one or more pricing options simulating the following: a fruit and vegetable subsidy (20%), a sweetened beverage tax (20% or 40%), a saturated fat tax (NZ$2 per 100 g or $4 per 100 g saturated fat), a salt tax ($0·02 per 100 mg or $0·04 per 100 mg sodium), or sugar tax ($0·40 per 100 g or $0·80 per 100 g sugar). The primary outcome was the healthiness of the total shopping basket for each weekly shop (% of total unit food items defined as healthy). Low and high price change options were combined in analyses (eg, results for a saturated fat tax are an average of $2 per 100 g or $4 per 100 g). FINDINGS: Between Feb 1, and Dec 1, 2016, we randomly assigned 1132 shoppers, of whom 1038 (91·7%) completed at least one shop and 743 (71·6%) completed all five shops. Overall, data from 4258 shops were included in the analysis, including 645 control shops, 2545 shops where one policy was activated, and 1068 shops with two (or more) policies activated. In the control condition, 67·90% (SD 13·01) of food purchases were classified as healthy. Three of the five policies increased this proportion by a small, but significant amount (saturated fat tax mean absolute difference 1·77%, 95% CI 1·03 to 2·52, p<0·0001; sugar tax 1·09%, 0·26 to 1·91, p=0·0099; and salt tax 1·31%, 0·50 to 2·13, p=0·0016). The sweetened beverage tax and fruit and vegetable subsidy resulted in non-significant increases of 0·18% (95% CI -0·49 to 0·85, p=0·60) and 0·41% (-0·26 to 1·07, p=0·23), respectively. Both the saturated fat tax and salt tax resulted in the following important substitution effects: an increase in fruit and vegetable purchases as a percentage by weight of all food purchases (saturated fat tax 4·0%, 0·9 to 7·1; salt tax 4·3%, 0·9 to 7·7); but also an increase in sugar as a percentage of total energy (saturated fat tax 5·0%, 2·1 to 7·9; salt tax 3·2%, 0·0 to 6·5). Interaction terms for combined policies were mostly non-significant, consistent with additive effects of policy combinations. INTERPRETATION: Price changes representing saturated fat, sugar, and salt taxes increased total healthy food purchases. As we observed important substitution effects, a combination of different tax and subsidy policies might be the most effective way to improve diets and decrease diet-related chronic diseases. FUNDING: Health Research Council of New Zealand.

Quantifying Children's Non-Supermarket Exposure to Alcohol Marketing via Product Packaging Using Wearable Cameras.

OBJECTIVE: The aim of this research was to quantify children's exposure to alcohol marketing via product packaging using wearable cameras, observing sociodemographic differences and contextual features of exposure. METHOD: In Wellington, New Zealand, 167 children (ages 11-13; 53% girls) wore wearable cameras for 4 consecutive days. The cameras automatically captured images approximately every 7 seconds. Image data (n = 700,000 images) were coded through content analysis to determine the extent of children's exposure to alcohol marketing via product packaging. Negative binomial regression models were used to calculate rates of exposure per day and to examine differences between groups. RESULTS: Children were exposed to alcohol marketing via product packaging 7.7 times per day, on average. Product packaging contained limited health information and lacked defining features that could provide visual cues to children to differentiate alcohol from other commodities. No statistically significant differences by sociodemographic characteristics were detected. CONCLUSIONS: Children are frequently exposed to alcohol marketing via product packaging. Such exposure normalizes alcohol in children's environments and fails to send accurate information to children about the health risks associated with alcohol consumption. Mandatory labeling on alcohol product packaging, including prominent health warnings (text, pictorial, and graphic), or plain packaging, provides governments an opportunity to substantially reduce children's overall exposure to alcohol marketing and potentially increase children's awareness of the risks associated with alcohol consumption.

The use of wearable cameras in assessing children's dietary intake and behaviours in China.

The use of lifelogging device in dietary assessments can reduce misreporting and underreporting, which are common in the previous studies conventional methods. We performed the first study in Chinese children (primary school Grade 4) that applied the wearable cameras in assisting dietary recall. Children (n = 52) wore the wearable cameras (Narrative Clip 2) for seven consecutive days, during which they completed a 3-day 24-h dietary recall at home. Then children modified their dietary recalls at school by reviewing the photos taken by the wearable camera at school, with the assistance of the investigator, and generated the camera-assisted 24-h dietary recalls. Compared with camera-assisted dietary recalls, 8% (n = 160) and 1% (n = 11) of food items were underreported (i.e. not reported at all) and misreported (i.e. reported in an incorrect amount) by dietary recalls without camera-assistance, respectively. Dietary recalls without camera assistance underestimated daily energy intake by 149 ±â€¯182 kcal/d (8%) in comparison to the camera-assisted dietary recalls. Foods consumed on the snacking occasions (40%) were more likely to be underreported than those consumed at main meals (P < 0.001). Beverages (37%), fruits (30%), snacks and desserts (16%) were foods most likely to be inaccurately reported. Children were satisfied with the wearable cameras, with a median score 5.0 (IQR: 5.0-5.0) for most features. Wearable cameras hold promise for improving accuracy of dietary intake assessment in children, providing rich objective information on dietary behaviours, and received high level of satisfaction and compliance of the users. Our results suggest that the accuracy of dietary recall among Chinse school-aged children could be improved by wearable camera, especially avoiding underreporting in the snacking occasions.

Prime Minister for a day: children's views on junk food marketing and what to do about it.

AIMS: This study explored children's awareness of and engagement with food marketing, and their views on action to address it. METHODS: A purposeful sample of 33 children (11-13 years) from the Wellington region of New Zealand were interviewed. RESULTS: Children were knowledgeable about food marketing, although most were not aware of the extent to which they were exposed. Children did not distinguish 'marketing to children' from other marketing. According to the children, they were frequently exposed to food marketing, and persuaded, against their better judgement, to purchase food they knew to be harmful to their health. As many children recognised the unhealthy nature of the food marketed to them, they agreed they would take action to reduce junk food marketing if they were Prime Minister for a day. Interventions included making food marketing honest, providing nutrition information, removing billboards and increasing the promotion of healthy food. CONCLUSIONS: These findings suggest children's exposure to junk food marketing may cause them physical, mental and moral harm, in direct contradiction of the New Zealand self-regulatory code for marketing. The children's views align with the World Health Assembly's recent decision to endorse initiatives to end childhood obesity, including restricting marketing of unhealthy foods.

Estimating the health benefits and cost-savings of a cap on the size of single serve sugar-sweetened beverages.

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.