Consumption of in natura and ultra-processed foods in adults: an analysis of social, metabolic, and lifestyle determinants.

OBJECTIVE: To assess the social, metabolic, and lifestyle determinants of consumption of fruits, vegetables, and greens (FVG) and ultra-processed food (ULT) in adults from Pernambuco. METHODS: Cross-sectional and analytical study, conducted in 2015/2016. In addition to sociodemographic variables, the determinants of lifestyle were level of physical activity, alcohol consumption, tobacco use, and metabolic variables were self-reported hypertension, blood glucose, and Body Mass Index (BMI). Consumption was measured by the Food Frequency Questionnaire, then created the Frequency of Consumption Index (SFI) of the mean intake of ULT and FVG foods. The indices of FVG and ULT consumption were transformed into quartiles and these variables were included in the multinomial logistic regression, considering their determinants when p<0.05. RESULTS: The sample was representative of the state, with 1,067 people being interviewed, whose intake of ULT was higher than that of FVG in the lowest and highest quartile of the consumption index. Consumption of fruit and vegetables was higher in higher consumption of alcoholic beverages (p=0.031) and BMI>25 kg/m2 (p=0.047); and lower in the lowest income (p=0.001). ULT intake was higher in young adults (p=0.005), lower income (p=0.044), and controlled blood glucose (p=0.021). Rural areas were 52% less exposed to medium-high ULT consumption (p<0.006). CONCLUSION: Higher rate of ULT consumption in relation to fresh foods, with income as a common determinant, inversely associated with ULT intake and directly related to FVG, which demands structuring policies.

Microbiological assessment of ready-to-eat foods and drinking water sources as a potential vehicle of bacterial pathogens in northern India.

Foodborne illnesses caused by the consumption of contaminated foods have frequent occurrences in developing countries. The incorporation of contaminated water in food processes, preparation, and serving is directly linked to several gastrointestinal infections. Keeping in view, this study was conducted to assess the microbial quality of both drinking water sources and commonly consumed fresh ready-to-eat (RTE) foods in the region. The drinking water samples from water sources and consumer points, as well as food samples from canteens, cafes, hotels, and restaurants, were collected for the microbiological analysis. Fifty-five percent (n = 286) of water samples were found to be positive for total coliforms with MPN counts ranging from 3 to 2600 (100 ml) -1. E. coli was detected in nearly 30% of the total water samples. Overall, 65% tap water samples were found unsatisfactory, followed by submersible (53%), filter (40%), and WTP (30%) sources. Furthermore, the examination of RTE foods (n = 80) found that 60% were of unsatisfactory microbial quality with high aerobic plate counts. The salads were the most contaminated category with highest mean APC 8.3 log CFU/g followed by pani puri, chats, and chutneys. Presence of coliforms and common enteropathogens was observed in both water and food samples. The detected isolates from the samples were identified as Enterobacter spp., Klebsiella spp., Pseudomonas aeruginosa, Salmonella spp., Shigella spp., and Staphylococcus spp. Based on these findings, microbiological quality was found compromised and this may pose hazard to public health. This exploratory study in the Punjab region also suggests that poor microbiological quality of water sources can be an important source of contamination for fresh uncooked RTE foods, thus transferring pathogens to the food chain. Therefore, only safe potable drinking water post-treatment should be used at all stages.

Ultra-Processed Food Addiction: A Research Update.

PURPOSE OF REVIEW: Detail recent advancements in the science on ultra-processed food (UPF) addiction, focusing on estimated prevalence rates and emerging health disparities; progress towards identifying biological underpinnings and behavioral mechanisms; and implications for weight management. RECENT FINDINGS: Notable developments in the field have included: (1) estimating the global prevalence of UPF addiction at 14% of adults and 15% of youths; (2) revealing health disparities for persons of color and those with food insecurity; (3) observing altered functioning across the brain-gut-microbiome axis; (4) providing early evidence for UPF withdrawal; and (5) elucidating poorer weight management outcomes among persons with UPF addiction. The breadth of recent work on UPF addiction illustrates continued scientific and public interest in the construct and its implications for understanding and treating overeating behaviors and obesity. One pressing gap is the lack of targeted interventions for UPF addiction, which may result in more optimal clinical outcomes for this underserved population.

Factors That Most Influence the Choice for Fast Food in a Sample of Higher Education Students in Portugal.

The frequency of fast food consumption among higher education students is high, causing worrying implications for public health. This study aims to relate the factors that influence the choice for fast food with social factors, nutritional status, and fast food consumption in a sample of higher education students in Portugal. An online questionnaire was developed and disseminated by social networks among students during the first half of 2023. Two hundred and thirty-seven students participated, mainly female (65.4%), who were attending public higher education institutions (59.1%), with a median of age of 20.0 (19.0; 22.0) years, and about 20% of the sample had overweight. Approximately 80% consumed fast food, and almost 40% consumed it more than once or twice a week. Predominantly (78.0%), they chose hamburger meals, spending EUR 8.0 per meal. The factors that most influenced the choice of fast food were ease or convenience of preparation (59.9%), price (48.5%), and flavor (28.3%). There were also differences between sexes and between those attending public and private higher education institutions regarding whether they usually consume fast food or not. The body mass index was positively associated with age (r: 0.142; p = 0.029) and with fast food spending (r: 0.146; p = 0.024). The results have implications for public health and clinical nutrition, and can support more effective strategies to improve food choices in higher education students.

Promoting Healthier Purchases: Ultraprocessed Food Taxes and Minimally Processed Foods Subsidies for the Low Income.

INTRODUCTION: Fiscal policies can shift relative food prices to encourage the purchase and consumption of minimally processed foods while discouraging the purchase and consumption of unhealthy ultraprocessed foods, high in calories and nutrients of concern (sodium, sugar, and saturated fats), especially for low-income households. METHODS: The 2017-2018 packaged food purchase data among U.S. households were used to derive household income- and composition-specific demand elasticities across 22 food and beverage categories. Policy simulations, conducted in 2022-2023, assessed the impact of national taxes on unhealthy ultraprocessed food and beverage purchases, both separately and alongside subsidies for minimally processed foods and beverages targeted to low-income households. Resultant nutritional implications are reported on the basis of changes in purchased calories and nutrients of concern. In addition, financial implications for both households and the federal government are projected. RESULTS: A sugar-based tax on sugar-sweetened beverages would lower both volume and calories purchased with the largest impact on low-income households without children. Meanwhile, targeted subsidies would increase fruit, vegetable, and healthier drink purchases without substantially increasing calories. Under tax simulations, low-income households would make larger reductions in their absolute volume and calorie purchases of taxed foods and beverages than their higher-income counterparts, suggesting that these policies, if implemented, could help narrow nutritional disparities. CONCLUSIONS: Levying national taxes on unhealthy ultraprocessed foods/beverages and offering targeted subsidies for minimally processed foods/beverages could promote healthier food choices among low-income households. Such policies have the potential to benefit low-income households financially and at a relatively low cost for the federal government annually.

Assessment of the Microbiological Quality and Effect of Public Health of Ready-to-Eat Salad Samples in Isparta.

Salmonella spp. and Citrobacter spp. are among the microorganisms causing important foodborne outbreaks. In this study, it was tried to determine the presence and rate of Salmonella spp. and Citrobacter spp. in salad samples collected from certain regions of province of Isparta in Türkiye. A total of 50 salad samples were analyzed. Classical culture technique was used for microbiological analysis of salad samples. Suspected isolates obtained were identified using the VITEK-2 system. Although no negative visual changes were observed in the salad samples used in the study, it was determined that the number of Gram-negative microorganisms was very high and six salad samples were not suitable for public health. In 50 salad samples, 2% Salmonella and 4% Citrobacter freundii were detected. In addition, it was determined that the Salmonella strain isolated from the salad sample was resistant to three different antibiotics and Citrobacter was resistant to two different antibiotics. Salmonella spp. and Citrobacter spp. are considered very dangerous to public health because they are associated with foodborne outbreaks and can develop antibiotic resistance very quickly. Salad producers should try to reduce the possibility of microbial contamination by using different technologies.

'Acceleration' of the food delivery marketplace: Perspectives of local authority professionals in the North-East of England on temporary COVID regulations.

In January 2021, we assessed the implications of temporary regulations in the United Kingdom allowing pubs and restaurants to operate on a takeaway basis without instigating a change of use. Local authorities (LAs) across the North-East of England were unaware of any data regarding the take-up of these regulations, partially due to ongoing capacity issues; participants also raised health concerns around takeaway use increasing significantly. One year on, we repeated the study aiming to understand the impact of these regulations on the policy and practice of key professional groups. Specifically, we wanted to understand if LAs were still struggling with staff capacity to address the regulations, whether professionals still had public health trepidations, and if any unexpected changes had occurred across the local food environment because of the pandemic. We conversed with 16 public health professionals, planners and environmental health officers across seven LAs throughout the North-East of England via focus groups and interviews. Data collated were analysed via an inductive and semantic, reflexive-thematic approach. Through analysis of the data, three themes were generated and are discussed throughout: popular online delivery services as a mediator to increased takeaway usage; potential long-term health implications and challenges; continued uncertainty regarding the temporary regulations. This paper highlights important changes to local food environments, which public health professionals should be aware of, so they are better equipped to tackle health inequalities across urban and sub-urban areas.

"Food faddists and pseudoscientists!": Reflections on the history of resistance to ultra-processed foods.

The term 'ultra-processed food' emerged in the 1980s, mostly used in reference to highly-processed convenience foods and snacks, often energy-dense, poor in nutrients, and inclusive of various synthetic additives such as emulsifiers, colors, artificial sweeteners, and/or flavor enhancers. Concern over such foods was part of the growing holistic and environmental health movements of the 1970-80s; yet, those who raised alarm about the encroachment of ultra-processed foods were often labeled, especially by industry and their powerful allies, as 'food faddists' and 'pseudoscientists'. Today, the topic of ultra-processed foods is generating massive personal, public, and planetary health interest. However, other than discussing the history of the NOVA food classification system, a useful tool that has allowed researchers to more accurately separate foods based on processing, most lay media and academic articles are ahistorical. That is, there is a tendency to present the term ultra-processed food(s) as a relatively new entrance into the lexicon, and by default, the idea that health-related pushback on ultra-processed foods is a relatively new phenomenon. This omission overlooks decades of determined advocacy and clinical work, much of it by pioneers within the holistic medicine (now integrative, functional, and lifestyle medicine) movement. Here in this reflection paper, the authors will use historical research and reporting to fill in the historical gap and articulate the saliency of why it matters.

Ultra-processed and fast food consumption, exposure to phthalates during pregnancy, and socioeconomic disparities in phthalate exposures.

BACKGROUND: Consuming ultra-processed foods may increase exposure to phthalates, a group of endocrine disruptors prevalent in food contact materials. OBJECTIVES: Investigate associations between ultra-processed food intake and urinary phthalates during pregnancy, and evaluate whether ultra-processed foods mediate socioeconomic disparities in phthalate exposures. METHODS: In a socioeconomically diverse sample of 1031 pregnant women from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study in the urban South, the Block Food Frequency Questionnaire was administered and urinary phthalate metabolites were measured in the second trimester. Linear regressions modeled associations between phthalates and overall ultra-processed food consumption, individual ultra-processed foods, and exploratory factor analysis dietary patterns. Causal mediation analyses examined whether ultra-processed food intake mediates relationships between socioeconomic disparities and phthalate exposures. RESULTS: Ultra-processed foods constituted 9.8-59.0 % (mean = 38.6 %) of participants' diets. 10 % higher dietary proportion of ultra-processed foods was associated with 13.1 % (95 %CI: 3.4 %-22.9 %) higher molar sum concentrations of di(2-ethylhexyl) phthalate metabolites (ΣDEHP). 10 % higher consumption of minimally-processed foods was associated with lower ΣDEHP (10.8 %: 3.4 %-22.9 %). Ultra- and minimally-processed food consumption were not associated with non-DEHP metabolites. Standard deviation higher consumptions of hamburger/cheeseburger, French fries, soda, and cake were associated with 10.5 % (4.2 %-17.1 %), 9.2 % (2.6 %-16.2 %), 7.4 % (1.4 %-13.6 %), and 6.0 % (0.0 %-12.4 %), respectively, higher ΣDEHP. Exploratory factor analysis corroborated positive associations of processed food with ΣDEHP, and uncovered a healthy dietary pattern associated with lower urinary ΣDEHP, mono(2-ethyl-5-hydroxyhexyl) (MEHHP), mono(2-ethyl-5-carboxypentyl) (MECPP), mono(2-carboxymethylhexyl) (MCMHP), and mono-isononyl (MINP) phthalates. Significant indirect effects indicated that lower income and education levels were associated with 1.9 % (0.2 %-4.2 %) and 1.4 % (0.1 %-3.3 %) higher ΣDEHP, respectively, mediated via increased ultra-processed food consumption. CONCLUSIONS: Consumption of ultra-processed foods may increase exposure to phthalates. Policies to reduce dietary phthalate exposures from food packaging and processing are needed, as socioeconomic barriers can preclude dietary recommendations as a sole means to reduce phthalate exposures.

Cost Effectiveness of Calorie Labeling at Large Fast-Food Chains Across the U.S.

INTRODUCTION: Calorie labeling of standard menu items has been implemented at large restaurant chains across the U.S. since 2018. The objective of this study was to evaluate the cost effectiveness of calorie labeling at large U.S. fast-food chains. METHODS: This study evaluated the national implementation of calorie labeling at large fast-food chains from a modified societal perspective and projected its cost effectiveness over a 10-year period (2018-2027) using the Childhood Obesity Intervention Cost-Effectiveness Study microsimulation model. Using evidence from over 67 million fast-food restaurant transactions between 2015 and 2019, the impact of calorie labeling on calorie consumption and obesity incidence was projected. Benefits were estimated across all racial, ethnic, and income groups. Analyses were performed in 2022. RESULTS: Calorie labeling is estimated to be cost saving; prevent 550,000 cases of obesity in 2027 alone (95% uncertainty interval=518,000; 586,000), including 41,500 (95% uncertainty interval=33,700; 50,800) cases of childhood obesity; and save $22.60 in healthcare costs for every $1 spent by society in implementation costs. Calorie labeling is also projected to prevent cases of obesity across all racial and ethnic groups (range between 126 and 185 cases per 100,000 people) and all income groups (range between 152 and 186 cases per 100,000 people). CONCLUSIONS: Calorie labeling at large fast-food chains is estimated to be a cost-saving intervention to improve long-term population health. Calorie labeling is a low-cost intervention that is already implemented across the U.S. in large chain restaurants.

Socio-demographic and economic factors associated with the consumption of processed foods in South Africa - Evidence from Demographic and Health Survey VII.

OBJECTIVE: The primary objective of this study was to examine the socio-demographic and economic factors associated with the consumption of processed foods in South Africa. STUDY DESIGN: This is an empirical study where secondary data analysis was performed from the South African Demographic and Health Survey VII. METHODS: A nationally representative sample of 10,336 participants (aged ≥15 years) was included in the analysis. Using regression models, we studied the association between socio-demographic and economic predictors and the intake of processed foods. RESULTS: The regression models found that the odds of consumption of any type of processed foods were significantly high in all South African provinces but specifically higher in urban settings, those with any level of education, and young adults. The odds of processed meat consumption were significantly higher among the coloured population, while that of fried food, fast food, and salty snacks was significant in the white population. The odds of consumption increased irrespective of marital status and were higher among males, specifically among those in the poorer and poorest wealth quintiles. CONCLUSION: These findings warrant advocacy and action for healthy food choices in the population. The role of industry, ethnic vulnerability, and gender stereotypes in food preparation are areas that need priority attention.

"I Don't Want an App to Do the Work for Me": A Qualitative Study on the Perception of Online Grocery Shopping From Small Food Retailers.

BACKGROUND: Small food retailers often stock energy-dense convenience foods, and they are ubiquitous in low-income urban settings. With the rise in e-commerce, little is known about the acceptability of online grocery shopping from small food retailers. OBJECTIVE: To explore perceptions of the role of small food retailers (bodegas) in food access and the acceptability of online grocery shopping from bodegas among customers and owners in a diverse New York City urban neighborhood with low incomes. DESIGN: In-depth interviews were conducted with bodega owners and adult customers between May and July 2022. PARTICIPANTS/SETTING: Bodega owners who either had (n = 4) or had not (n = 2) implemented a locally designed online grocery system. Customers (n = 25) were recruited through purposive sampling and were eligible if they purchased at bodegas (>once per month), had low income (household income ≤130% of the federal poverty level or Supplemental Nutrition Assistance Program [SNAP] participants), and owned smartphones. ANALYSES PERFORMED: All interviews were transcribed and analyzed in MAXQDA (Verbi Software, Berlin, Germany), using grounded theory. RESULTS: To owners and customers, bodegas were seen as good neighbors providing culturally appropriate foods and an informal financial safety net. Their perceptions concerning food cost and availability of healthy foods in bodegas diverged. Although most perceived online grocery from bodegas as a positive community resource, they also believed it was not suited to their own community because of the bodega's proximity to customers' homes and the low digital literacy of some community members. Customers reported social norms of pride in not using online grocery shopping. Owners and customers believed the service would more likely be used if government benefits such as SNAP allowed payment for online orders. Both suggested improved outreach to increase program awareness and uptake. CONCLUSIONS: Online grocery shopping from small food retailers may be acceptable in urban communities with low income and was perceived as a community resource. However, important barriers need to be addressed, such as social norms related to pride in not using online grocery services, digital literacy, program awareness, and allowing SNAP payment for online orders from bodegas.

What is the purpose of ultra-processed food? An exploratory analysis of the financialisation of ultra-processed food corporations and implications for public health.

BACKGROUND: In recent decades there has been a global rise in consumption of ultra-processed foods (UPFs) to the detriment of population health and the environment. Large corporations that have focused heavily on low-cost manufacturing and extensive marketing of UPFs to maximise profits have driven this dietary transition. The same corporations claim to serve the interests of multiple 'stakeholders', and that they are contributing to sustainable development. This paper aimed to test these claims by examining the degree to which UPF corporations have become 'financialised', focusing on the extent to which they have prioritised the financial interests of their shareholders relative to other actors, as well as the role that various types of investors have played in influencing their governance. Findings were used to inform discussion on policy responses to improve the healthiness of population diets. METHODS: We adopted an exploratory research design using multiple methods. We conducted quantitative analysis of the financial data of U.S. listed food and agricultural corporations between 1962 and 2021, share ownership data of a selection of UPF corporations, and proxy voting data of a selection of investors between 2012 and 2022. We also conducted targeted narrative reviews using structured and branching searches of academic and grey literature. RESULTS: Since the 1980s, corporations that depend heavily on manufacturing and marketing UPFs to generate profits have been increasingly transferring money to their shareholders relative to their total revenue, and at a level considerably higher than other food and agricultural sectors. In recent years, large hedge fund managers have had a substantial influence on the governance of major UPF corporations in their pursuit of maximising short-term returns. In comparison, shareholders seeking to take steps to improve population diets have had limited influence, in part because large asset managers mostly oppose public health-related shareholder proposals. CONCLUSIONS: The operationalisation of 'shareholder primacy' by major UPF corporations has driven inequity and undermines their claims that they are creating 'value' for diverse actors. Measures that protect population diets and food systems from the extractive forces of financialisation are likely needed as part of efforts to improve the healthiness of population diets.

Changes in food purchase, consumption and handling during COVID-19 pandemic among single person households.

OBJECTIVE: As a new type of consumer subject in the market that was formerly dominated by multiple person families, single households are driving the change in the buying structure. Food purchase activities have undergone significant changes since the outbreak of the COVID-19. The objective of this study was to assess and compare variations in food consumption, purchase and handling during the COVID-19 pandemic between single person households (SPH) and multiple person households. METHOD: A cross-sectional study conducted among 211 individuals in communities in Harris and Waller Counties, Texas. Sociodemographic, food purchase, food consumption and food handling activities during the COVID-19 pandemic were assessed with a validated COVID-19 Nutrition questionnaire. RESULTS: Non-Hispanic Black participants constituted 42.6%, and 28.4% were Hispanics. Participants were made up of mostly aged 18-24 years (39.3%), 47.9% single household composition, 30.4% in full time employment, and 29.1% partook in food assistance programs. A large proportion of them had never used grocery pickup services, online grocery shopping and a farmers' market. During the COVID-19 pandemic, majority of the participants used more of large supermarkets, restaurant/fast food, and online grocery but food consumption seemed to remain the same for the majority of participants. For beverages, majority of participants consumed more water, less soda, and no alcohol. There was a significant association between single person household and higher restaurant/fast foods purchase. Many of the participants reported weight gain and less physical activity during the pandemic. CONCLUSION: Restaurant meal purchases was more prevalent in single-person families. The results from the study have the potential to contribute to how public policy officials, food service, and health authorities forecast how different categories of consumers will react in pandemics and may be used to inform area-specific alleviation strategies to minimize the impact of the COVID-19 pandemic and future events.

Nutritional, environmental and economic impacts of ultra-processed food consumption in Australia.

OBJECTIVE: To quantify the full life cycle impacts of ultra-processed foods (UPF) for key environmental, economic and nutritional indicators to identify trade-offs between UPF contribution to broad-scope sustainability. DESIGN: Using 24-h dietary recalls along with an input-output database for the Australian economy, dietary environmental and economic impacts were quantified in this national representative cross-sectional analysis. Food items were classified into non-UPF and UPF using the NOVA system, and dietary energy contribution from non-UPF and UPF fractions in diets was estimated. Thereafter, associations between nutritional, environmental and economic impacts of non-UPF and UPF fractions of diets were examined using a multi-dimensional nutritional geometry representation. SETTING: National Nutrition and Physical Activity Survey 2011-2012 of Australia. PARTICIPANTS: Respondents (n 5344) aged > 18 years with 1 d of 24-h dietary recall data excluding respondents with missing values and outlier data points and under reporters. RESULTS: Australian diets rich in UPF were associated with reduced nutritional quality, high greenhouse gas emissions, energy use, and increased employment and income associated with the food supply chains. The environmental and economic impacts associated with the UPF portion of diets become more distinct when the diets are standardised to average protein recommendation. CONCLUSION: Increased consumption of UPF has socio-economic benefits, but this comes with adverse effects on the environment and public health. Consideration of such trade-offs is important in identifying policy and other mechanisms regarding UPF for establishing healthy and sustainable food systems.

Association Between a State-Level Fat Tax and Fast Food Purchases.

Importance: India faces an increasing obesity problem, including in the Indian state of Kerala in which the fat tax was implemented but was nullified 11 months later. A fat tax, defined as a tax on unhealthy foods, may be associated with changes in food purchases and outcomes for multiple diet-related diseases. Objective: To investigate the association between the state-level fat tax and fast food purchases in Kerala, India. Design, Setting, and Participants: This cohort study analyzed a large-scale credit and debit card transaction data set and aggregated this sample at the account-year-month level of fast food purchases in Kerala state and 9 major cities in other Indian states (Ahmedabad, Bangalore, Bhubaneswar, Chennai, Delhi, Gurgaon, Kolkata, Mumbai, and Surat). Purchase records were obtained for January 1, 2016, to December 31, 2017. The association between the fat tax and fast food purchases was examined using the difference-in-differences method. This analysis was initiated on December 1, 2022. Exposures: The exposure was the fat tax. Kerala was the exposed group, and 9 major Indian cities were the control group. Main Outcomes and Measures: The main outcome was the fast food purchase ratio, defined as the proportion of fast food purchases of the total food purchases. Changes in the fast food purchase ratio were estimated in Kerala across the sample period and then compared with 9 major cities. Results: The sample for analysis included 238 015 credit and debit card accounts, of which 36.7% were in Kerala and 63.3% were in 9 major cities. The cardholders included 191 603 males (80.5%) with a mean (SD) age of 36.6 (12.8) years. During the fat tax implementation (August 2016-June 2017), Kerala's fast food purchase ratio decreased by 3.9 percentage points (ß [SE], -0.039 [0.002]; 95% CI, -0.042 to -0.036), compared with 9 major cities. After the fat tax was nullified, the fast food purchase ratio reduced by 5.6 percentage points (γ [SE], -0.056 [0.002]; 95% CI, -0.059 to -0.052) compared with 9 major cities and using the pretax period as the benchmark. Conclusions and Relevance: Results of this cohort study suggest that the Kerala fat tax was associated with fewer fast food purchases. Food tax policies need to have an elaborate design, and related issues, such as social inequality, nutritional deficiency, and political concerns, need to be evaluated in future studies.

The impact of calorie labelling and proportional pricing on out of home food orders: a randomised controlled trial study using a virtual food and drink delivery app.

BACKGROUND: Mandatory calorie labelling in the out-of-home food sector was introduced in England in 2022, and menu pricing strategies that ensure cost is equivalent to portion size (proportional pricing) have been proposed as a policy to reduce obesity. Food delivery app-based platforms now contribute significantly to diet, and evidence suggests that those at a socioeconomic disadvantage may have greater exposure to unhealthy options on these platforms. However, public health policies to improve nutritional quality of food ordered from food delivery apps has received limited examination. OBJECTIVE: This experimental study assessed the impact of calorie labelling and proportional pricing on item and meal size selection, calories ordered, and money spent when selecting food and drinks from three outlet types on a virtual delivery app. METHODS: UK adult participants (N = 1126, 49% female), stratified by gender and education level completed an online study where they ordered items from three branded food and beverage outlets (coffee shop, sandwich outlet, fast food outlet) using a virtual delivery app. Participants were presented food and beverage options with vs. without calorie labels and with value (larger portions are proportionally cheaper) vs. proportional pricing. RESULTS: Calorie labelling did not influence portion size selection for any outlets, but significantly reduced calories ordered from the coffee shop (-18.95kcals, 95% CI -33.07 to -4.84) and fast food outlet (-54.19kcals, 95% CI -86.04 to -22.33). Proportional pricing reduced the likelihood of choosing a larger beverage from the coffee shop (OR = 0.58, 95% CI 0.45 to 0.75), but was associated with increased calories ordered from the fast food outlet (51.25kcals, 95% CI 19.59 to 82.90). No consistent interactions were observed with participant characteristics, suggesting that effects of calorie labelling and pricing on outcomes were similar across sociodemographic groups. CONCLUSIONS: Calorie labelling on food delivery platforms may effectively reduce calories ordered. Proportional pricing may be useful in prompting consumers to select smaller portion sizes, although further research in real-world settings will now be valuable.

Promoting health in the digital environment: health policy experts' responses to on-demand delivery in Aotearoa New Zealand.

Services offering on-demand delivery of unhealthy commodities, such as fast food, alcohol and smoking/vaping products have proliferated in recent years. It is well known that the built environment can be health promoting or harmful to health, but there has been less consideration of the digital environment. Increased availability and accessibility of these commodities may be associated with increased consumption, with harmful public health implications. Policy regulating the supply of these commodities was developed before the introduction of on-demand services and has not kept pace with the digital environment. This paper reports on semi-structured interviews with health policy experts on the health harms of the uptake in on-demand delivery of food, alcohol and smoking/vaping products, along with their views on policies that might mitigate these harms. We interviewed 14 policy experts from central and local government agencies and ministries, health authorities, non-Government Organisations (NGOs) and university research positions in Aotearoa New Zealand using a purposive sampling strategy. Participants concerns over the health harms from on-demand services encompassed three broad themes-the expansion of access to and availability of unhealthy commodities, the inadequacy of existing restrictions and regulations in the digital environment and the expansion of personalized marketing and promotional platforms for unhealthy commodities. Health policy experts' proposals to mitigate harms included: limiting access and availability, updating regulations and boosting enforcement and limiting promotion and marketing. Collectively, these findings and proposals can inform future research and public health policy decisions to address harms posed by on-demand delivery of unhealthy commodities.

Ultra-processed foods consumption as a promoting factor of greenhouse gas emissions, water, energy, and land use: A longitudinal assessment.

BACKGROUND: Dietary patterns can produce an environmental impact. Changes in people's diet, such as the increased consumption of ultra-processed food (UPF) can not only influence human health but also environment sustainability. OBJECTIVES: Assessment of the impact of 2-year changes in UPF consumption on greenhouse gas emissions and water, energy and land use. DESIGN: A 2-year longitudinal study after a dietary intervention including 5879 participants from a Southern European population between the ages of 55-75 years with metabolic syndrome. METHODS: Food intake was assessed using a validated 143-item food frequency questionnaire, which allowed classifying foods according to the NOVA system. In addition, sociodemographic data, Mediterranean diet adherence, and physical activity were obtained from validated questionnaires. Greenhouse gas emissions, water, energy and land use were calculated by means of the Agribalyse® 3.0.1 database of environmental impact indicators for food items. Changes in UPF consumption during a 2-year period were analyzed. Statistical analyses were conducted using computed General Linear Models. RESULTS: Participants with major reductions in their UPF consumption reduced their impact by -0.6 kg of CO2eq and -5.3 MJ of energy. Water use was the only factor that increased as the percentage of UPF was reduced. CONCLUSIONS: Low consumption of ultra-processed foods may contribute to environmental sustainability. The processing level of the consumed food should be considered not only for nutritional advice on health but also for environmental protection. TRIAL REGISTRATION: ISRCTN, ISRCTN89898870. Registered 05 September 2013, http://www.isrctn.com/ISRCTN89898870.

Association Between County-Level Food Retail and Socioeconomic Environment and Nutritional Quality of Household Food Purchases, 2015.

BACKGROUND: About 40 million Americans do not have easy access to affordable nutritious foods. Healthier foods are less likely to be available to those living in rural and/or lower-income communities. OBJECTIVE: The objective of this study was to analyze the association between nutritional quality of household food purchases and county-level food retail environment; county-level demographic, health, and socioeconomic indicators; and household composition, demographic characteristics, and socioeconomic characteristics. DESIGN: This study is a secondary analysis of the 2015 Information Resources Inc Consumer Network panel; Purchase-to-Plate Crosswalk, which links US Department of Agriculture nutrition databases to Information Resources Inc scanner data; County Health Rankings; and the Food Environment Atlas data. PARTICIPANTS AND SETTINGS: A total of 63,285 households, representative of the contiguous US population, consistently provided food purchase scanner data from retail stores throughout 2015. MAIN OUTCOME MEASURES: Nutritional quality of retail food purchases was assessed using the Healthy Eating Index 2015 (HEI-2015). STATISTICAL ANALYSIS: Multivariate linear regression analysis was used to simultaneously test the relationship between the main outcome and household-level demographic and socioeconomic characteristics as well as the county-level demographic, health, socioeconomic, and retail food environment. RESULTS: Household heads who had higher education and households with higher incomes purchased food of better nutritional quality (ie, higher HEI-2015 scores). Also, the association between retail food purchase HEI-2015 scores and the food environment was weak. Higher density of convenience stores was associated with lower retail food purchase nutritional quality for higher-income households and households living in urban counties, whereas low-income households in counties with higher specialty (including ethnic) store density purchased higher nutritional quality food. Both in the full sample and when stratified by household income or county rural vs urban status, no association was found between grocery store, supercenters, fast-food outlets, and full-service restaurant densities and retail food purchase HEI-2015 scores. HEI-2015 scores were negatively correlated with the county average number of mental health days for higher income and urban households. CONCLUSIONS: The study findings suggest that availability of healthier food alone may not improve healthfulness of retail food purchases. Future studies examining the influence of demand-side factors/interventions, such as habits, cultural preferences, nutrition education, and cost/affordability, on household purchasing patterns could provide complementary evidence to inform effective intervention strategies.