Hunger for Home Delivery: Cross-Sectional Analysis of the Nutritional Quality of Complete Menus on an Online Food Delivery Platform in Australia

Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis

OBJECTIVE

It is unknown how well menu labelling schemes that enforce the display of kilojoule (kJ) labelling at point-of-sale have been implemented on online food delivery (OFD) services in Australia. This study aimed to examine the prevalence of kJ labelling on the online menus of large food outlets with more than twenty locations in the state or fifty locations nationally. A secondary aim was to evaluate the nutritional quality of menu items on OFD from mid-sized outlets that have fewer locations than what is specified in the current scheme.

DESIGN

Cross-sectional analysis. Prevalence of kJ labelling by large food outlets on OFD from August to September 2022 was examined. Proportion of discretionary ('junk food') items on menus from mid-sized outlets was assessed.

SETTING

Forty-three unique large food outlets on company (e.g. MyMacca's) and third party OFD (Uber Eats, Menulog, Deliveroo) within Sydney, Australia. Ninety-two mid-sized food outlets were analysed.

PARTICIPANTS

N/A.

RESULTS

On company OFD apps, 35 % (7/23) had complete kJ labelling for each menu item. In comparison, only 4·8 % (2/42), 5·3 % (2/38) and 3·6 % (1/28) of large outlets on Uber Eats, Menulog and Deliveroo had complete kJ labelling at all locations, respectively. Over three-quarters, 76·3 % (345/452) of menu items from mid-sized outlets were classified as discretionary.

CONCLUSIONS

Kilojoule labelling was absent or incomplete on a high proportion of online menus. Mid-sized outlets have abundant discretionary choices and yet escape criteria for mandatory menu labelling laws. Our findings show the need to further monitor the implementation of nutrition policies on OFD.

The potential influence of the digital food retail environment on health: A systematic scoping review of the literature

INTRODUCTION

The digital food retail environment (defined in this study as a digital platform, app or website where food can be purchased by individuals for personal consumption) is an emerging component of the wider food system. We aimed to systematically search and review the literature to understand the potential influence of the digital food retail environment on population diets and health.

METHODS

Four databases (across health, business, and marketing) and grey literature were searched using terms relating to "food and beverages," "digital," and "purchasing." Identified studies were included if they examined any aspect of the digital food retail environment where outcomes were examined with a health-related focus and were published before September 2023. All study designs were included (quantitative, qualitative, observational, and experimental). Reviews and conference abstracts were excluded.

RESULTS

We identified 21,382 studies, of which 57 articles were eligible for inclusion. Of the 57 included studies, 30 studies examined online grocery retail, 22 examined online food delivery platforms, and five examined meal kit subscription services. Of the 30 studies examining online grocery retail, six studies reported that customers believed they purchased fewer unhealthy food and beverages when shopping online, compared with shopping in-store. Nevertheless, customers also reported that their ability to choose healthy foods and beverages was reduced when shopping online due to difficulty in product comparison. Studies that examined online food delivery platforms primarily found that they promoted unhealthy foods and beverages more often than healthy options, through extensive use of marketing practices such as price discounts and images, and that unhealthy food offerings on these platforms dominate. Meal kit subscription services offered mostly healthy meals, with studies suggesting that these types of services may help individuals alleviate some of their "mental load" and stress related to cooking meals for their families.

CONCLUSIONS

The literature describing the digital food retail environment was found to be diverse, with different aspects having potential to impact health in different ways. Some evidence suggests that online grocery retail and meal kit subscription services may have positive population dietary impacts, whereas online food delivery platforms appear likely to promote unhealthy food purchasing. However, the current evidence base is fragmented, with many knowledge gaps. Further research is required to understand the influence of the digital food retail environment on population diets and how these environments can be designed to support healthy food choices.

Response of the consumers to the menu calorie-labeling on online food ordering applications in Saudi Arabia

BACKGROUND

The use of online food ordering applications is widespread; however, to date, there have been no studies on the effect of the menu calorie labeling in online food ordering applications on the consumers' dietary habits and food choices in Saudi Arabia. Therefore, this study aimed to evaluate the response of the consumers to the menu energy-labeling on online food ordering applications in Saudi Arabia by exploring: (a) the consumers' preference and frequency of ordering from online food applications; (b) the consumers' self-reported knowledge, awareness, and interest towards menu calorie information on online food ordering applications; (c) the impact of menu calorie information on online food ordering applications on consumers' food choices.

METHODS

This is a cross-sectional study conducted between October and November of 2022. A total of 419 participants were recruited using an online questionnaire.

RESULTS

The findings showed that most participants (59%) preferred to order using online food ordering applications. Saving time and effort are the main reasons for using online food ordering applications (61%). Nearly half of the participants (45%) were interested in viewing calorie information on online food ordering applications menus and (47%) did notice calorie information displayed on the menu when ordering from an online food ordering application. Calorie information in online food ordering applications menus is primarily utilized to monitor intake for weight maintenance (19%). The ability to calculate energy requirements and interest in viewing calorie information on online food ordering applications menus were linked to younger age and a higher level of education (p < 0.05).

CONCLUSIONS

Overall, consumers showed limited awareness and interest towards the menu calorie information displayed in the online food ordering applications. These findings highlight the importance of developing public health programs to increase public awareness about calorie labeling on menus to aid in the success and effectiveness of the calorie labeling in online food ordering applications as a tool to promote balanced energy intake. Further research is needed to understand the most effective way to deliver calorie information to consumers on an online food ordering application.

Characteristics of food establishments registered with a meal delivery app in Latin America

Numerous studies have characterised the establishments registered with meal delivery apps (MDA) in several countries. However, little evidence is available regarding these platforms in Latin America (LA). The purpose of this study is to characterise food establishments registered with an MDA in nine LA cities. The establishments (n 3339) were characterised by the following keyword groups: 'Typical cuisine', 'Meat and fish', 'Snacks', 'Breakfast', 'Desserts' and 'Healthy'. In addition, we identified the marketing strategies present in the establishments' advertisements: photos, discounts and free delivery. Mexico City had the highest number of establishments registered with MDA (773), followed by Bogotá (655), Buenos Aires (567) and São Paulo (454). There is a direct relationship between the number of inhabitants of the cities and the number of the registered establishments. 'Snacks' was the keyword group most used by establishments in five of the nine cities. Establishments in two cities were most often characterised by the terms 'Typical cuisine' (Mexico City and Santiago de Chile) and 'Meats and fish' (Quito and San Jose). Photos were present in the advertisements of at least 84·0 % of the establishments. In addition, at least 40 % of establishments in Montevideo, Bogotá, São Paulo, Lima and Santiago de Chile offered discounts. Free delivery was present in at least 50 % of establishments in Quito, San Jose, Mexico City, Santiago de Chile and Lima. Photos were also the most common marketing strategy used by the establishments classified in all groups of keywords, while free delivery and discounts differed among them.

Using Mobile Ecological Momentary Assessment to Understand Consumption and Context Around Online Food Delivery Use: Pilot Feasibility and Acceptability Study

BACKGROUND

Mobile ecological momentary assessment (EMA) is a powerful tool for collecting real-time and contextual data from individuals. As our reliance on online technologies to increase convenience accelerates, the way we access food is changing. Online food delivery (OFD) services may further encourage unhealthy food consumption habits, given the high availability of energy-dense, nutrient-poor foods. We used EMA to understand the real-time effects of OFD on individuals' food choices and consumption behaviors.

OBJECTIVE

The primary aims of this pilot study were to assess the feasibility and acceptability of using EMA in young users of OFD and compare 2 different EMA sampling methods. The secondary aims were to gather data on OFD events and their context and examine any correlations between demographics, lifestyle chronic disease risk factors, and OFD use.

METHODS

This study used EMA methods via a mobile app (mEMASense, ilumivu Inc). Existing users of OFD services aged 16 to 35 years in Australia who had access to a smartphone were recruited. Participants were randomly assigned to 1 of 2 groups: signal-contingent or event-contingent. The signal-contingent group was monitored over 3 days between 7 AM and 10 PM. They received 5 prompts each day to complete EMA surveys via the smartphone app. In contrast, the event-contingent group was monitored over 7 days and was asked to self-report any instance of OFD.

RESULTS

A total of 102 participants were analyzed, with 53 participants in the signal-contingent group and 49 participants in the event-contingent group. Compliance rates, indicating the feasibility of signal-contingent and event-contingent protocols, were similar at 72.5% (574/792) and 73.2% (251/343), respectively. Feedback from the participants suggested that the EMA app was not easy to use, which affected their acceptability of the study. Participants in the event-contingent group were 3.53 (95% CI 1.52-8.17) times more likely to have had an OFD event captured during the study. Pizza (23/124, 18.5%) and fried chicken (18/124, 14.5%) comprised a bulk of the 124 OFD orders captured. Most orders were placed at home (98/124, 79%) for 1 person (68/124, 54.8%). Age (incidence rate ratio 0.95, 95% CI 0.91-0.99; P=.03) and dependents (incidence rate ratio 2.01, 95% CI 1.16-3.49; P=.01) were significantly associated with the number of OFD events in a week after adjusting for gender, socioeconomic status, diet quality score, and perceived stress levels.

CONCLUSIONS

This pilot study showed that EMA using an event-contingent sampling approach may be a better method to capture OFD events and context than signal-contingent sampling. The compliance rates showed that both sampling methods were feasible and acceptable. Although the findings from this study have gathered some insight on the consumption and context of OFD in young people, further studies are required to develop targeted interventions.

Food purchasing practices in various retail settings and dietary intake: A cross-sectional survey of Australian adolescents

BACKGROUND/AIMS

Discretionary, energy-dense, nutrient-poor food and drinks are heavily marketed and readily available in retail settings frequented by adolescents. This study examines associations between food purchasing practices in various retail settings and dietary intake among Australian adolescents.

METHODS

Participants were students in years 8 to 11 (ages 12-17 years) who completed the 2009-10 (n = 13 790), 2012-13 (n = 10 309) or 2018 (n = 9102) National Secondary Students' Diet and Activity (NaSSDA) cross-sectional survey. Multistage stratified random sampling was used. An online survey completed at school assessed self-reported frequency of food purchasing practices in various retail settings and consumption of discretionary food, sugary drinks, fruit and vegetables. Generalised linear regression models examined associations between food purchasing practices and dietary behaviour.

RESULTS

Relative to students who brought lunch from home, those who purchased lunch from school or nearby outlets reported higher intake of discretionary food and sugary drinks and lower fruit intake. Buying lunch from school was also associated with lower vegetable intake. Buying food or drinks on the school commute, outside school grounds during school hours, from supermarket checkouts, and using mobile phone apps were each associated with higher discretionary food and sugary drink intake (all P < .01).

CONCLUSIONS

Purchasing food or drink in various retail settings is associated with higher intake of discretionary food and drink among Australian adolescents, and some purchasing practices appeared to displace fruit and vegetable intake. SO WHAT?: These findings highlight a need to improve the accessibility and promotion of healthier food and drink options in schools and other retail settings.

The inexorable rise of automated food deliveries and potential anticipatory policy actions

OBJECTIVE

Food deliveries to consumers using autonomous vehicles are forecast to become commonplace in Australia and globally. The aims of this study were to (i) explore the anticipated nature of AV food delivery services in Australia and (ii) identify available policy options to optimise positive outcomes and minimise any negative consequences for health and well-being.

METHODS

In total, 36 interviews were conducted with 40 expert stakeholders across a range of relevant sectors including transport, urban planning, health and telecommunications. Interviewees discussed the ways in which automated food deliveries are likely to be implemented and the potential implications for lifestyles and health.

RESULTS

The interviewees expected automated food deliveries to constitute an extension of current trends towards online food ordering and rapid home deliveries, with potential adverse implications for diet quality at the population level.

CONCLUSIONS

Effective regulation of automated food and beverage delivery services will be needed to anticipate and address this emerging phenomenon.

IMPLICATIONS FOR PUBLIC HEALTH

There is the opportunity to optimise the public health outcomes associated with automated food deliveries while minimising potential negative consequences through proactive anticipatory action. Delays could result in undesirable and irreversible changes to the food environment.

Development of the Menu Assessment Scoring Tool (MAST) to Assess the Nutritional Quality of Food Service Menus

Preventing the rise in obesity is a global public health priority. Neighbourhood environments can help or undermine people's efforts to manage their weight, depending on availability of nutritious and nutrient-poor 'discretionary' foods. The proportion of household food budgets spent on eating outside the home is increasing. To inform nutrition policy at a local level, an objective assessment of the nutritional quality of foods and beverages on food service menus that is context-specific is needed. This study describes the development and piloting of the Menu Assessment Scoring Tool (MAST), used to assess the nutritional quality of food service menus in Australia. The MAST is a desk-based tool designed to objectively assess availability of nutrient-poor and absence of nutritious food and beverages on food service menus. A risk assessment approach was applied, using the best available evidence in an iterative way. MAST scores for 30 food service outlets in one Local Government Authority in Perth, Western Australia highlight opportunities for improvements. MAST is the first tool of its kind in Australia to assess the nutritional quality of food service menus. It was practical and feasible to use by public health nutritionists/dietitians and can be adapted to suit other settings or countries.

Nutritional Content of Popular Menu Items from Online Food Delivery Applications in Bangkok, Thailand: Are They Healthy?

The rise in online food delivery (OFD) applications has increased access to a myriad of ready-to-eat options, which may lead to unhealthier food choices. Our objective was to assess the nutritional profile of popular menu items available through OFD applications in Bangkok, Thailand. We selected the top 40 popular menu items from three of the most commonly used OFD applications in 2021. Each menu item was collected from the top 15 restaurants in Bangkok for a total of 600 items. Nutritional contents were analysed by a professional food laboratory in Bangkok. Descriptive statistics were employed to describe the nutritional content of each menu item, including energy, fat, sodium, and sugar content. We also compared nutritional content to the World Health Organization's recommended daily intake values. The majority of menu items were considered unhealthy, with 23 of the 25 ready-to-eat menu items containing more than the recommended sodium intake for adults. Eighty percent of all sweets contained approximately 1.5 times more sugar than the daily recommendation. Displaying nutrition facts in the OFD applications for menu items and providing consumers with filters for healthier options are required to reduce overconsumption and improve consumer food choice.

Online on-demand delivery services of food and alcohol: A scoping review of public health impacts

The increase in availability of online on-demand food and alcohol delivery services has changed the way unhealthy commodities are accessed and understood. We conducted a systematic scoping review of academic and grey literature to map the current knowledge of public health and regulatory/policy outcomes arising from on-demand food and alcohol delivery (defined as delivery within 2 h). We systematically searched three electronic databases and completed supplementary forward citation searches and Google Scholar searches. In total, we screened 761 records (de-duplicated) and synthesised findings from 40 studies by commodity types (on-demand food or alcohol) and outcome focus (outlet, consumer, environmental, labour). Outlet-focused outcomes were most common (n = 16 studies), followed by consumer (n = 11), environmental (n = 7), and labour-focused (n = 6) outcomes. Despite geographical and methodological diversity of studies, results indicate that on-demand delivery services market unhealthy and discretionary foods, with disadvantaged communities having reduced access to healthy commodities. Services that deliver alcohol on-demand can also subvert current alcohol access restrictions, particularly through poor age verification processes. Underpinning these public health impacts is the multi-layered nature of on-demand services and context of the COVID-19 pandemic, which creates ongoing complications as to how populations access food and alcohol. Changing access to unhealthy commodities is an emerging issue in public health. Our scoping review considers priority areas for future research to better inform policy decisions. Current regulation of food and alcohol may not appropriately cover emerging on-demand technologies, necessitating a review of policy.

Nutritional quality and consumer health perception of online delivery food in the context of China

Background

Today, the popularization of mobile internet technology has enabled the public’s need for food convenience and diversity arising from modern fast-paced lifestyles to be met at a relatively low cost. The digital age of the restaurant industry has arrived. Online food delivery (OFD) is rapidly developing globally. However, the public’s awareness of the nutritional quality of food through OFD and their knowledge of dietary nutrition remain to be investigated.

Methods

In the context of China, this study attempts to evaluate the nutritional quality of best-selling OFD set meals (i.e., meal combos) based on the current official Chinese dietary guidelines 2022. It accomplishes this by collecting data on popular OFD restaurants among consumers in 115 Chinese universities from the restaurants’ delivery addresses. Moreover, 20,430 valid questionnaires were collected online from undergraduates, graduate students, and other young groups aged 18–30 throughout China for descriptive analysis to investigate consumers’ perceptions of the nutritional quality of food through OFD and its health impact.

Results

The results of the nutritional quality evaluation of the OFD set meals ranged widely from 15 to 85, with a mean of 36.57 out of a possible maximum score of 100; and 89.56% scored less than 50. The nutritional quality of OFD foods was thus generally low. The nutritional quality of foods was negatively correlated with their popularity among consumers.

Conclusions

Young OFD consumers generally paid low attention to dietary nutrition knowledge and seldom paid attention to nutritional quality when choosing OFD foods while the nutritional quality of OFD foods was generally low. Respondents subjectively reported that long-term consumption of OFD food caused weight gain, increased blood lipids, and gastrointestinal discomfort. They thought that the reason might be excessive oil, salt, and sugar in the food, while ignoring the balance between different types of food.

Unhealthy Food at Your Fingertips: Cross-Sectional Analysis of the Nutritional Quality of Restaurants and Takeaway Outlets on an Online Food Delivery Platform in New Zealand

Online food delivery (OFD) platforms have become increasingly popular due to advanced technology, which is changing the way consumers purchase food prepared outside of the home. There is limited research investigating the healthiness of the digital food environment and its influence on consumer choice and dietary behaviours. This study is the first to examine the nutritional quality and marketing attributes of menu items from popular independent and franchise restaurants and takeaway outlets on New Zealand’s market leading OFD platform (UberEATS®). A total of 374 popular independent and franchise restaurants and takeaway outlets were identified to form a database of complete menus and marketing attributes. All 25,877 menu items were classified into 38 food and beverage categories based on the Australian Dietary Guidelines. Of complete menus, 73.3% (18,955/25,877) were discretionary. Thirty-six percent (9419/25,877) were discretionary cereal-based mixed meals, the largest of the 38 categories. Discretionary menu items were more likely to be categorized as most popular (OR: 2.0, 95% CI 1.7−2.2), accompanied by a photo (OR: 1.7, 95% CI 1.6−1.8), and offered as a value bundle (OR: 4.6, 95% CI 3.2−6.8). Two of the three discretionary mixed meal categories were significantly less expensive than their healthier counterparts (p < 0.001). The overwhelming availability and promotion of discretionary choices offered by restaurants and takeaway outlets on OFD platforms have implications for public health policy. Further research to explore direct associations between nutritional quality and consumers’ dietary choices is required.

Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand

Access to unhealthy commodities is a key factor determining consumption, and therefore influences the prevalence of non-communicable diseases. Recently, there has been an increase in the availability of food ‘on-demand’ via meal delivery apps (MDAs). However, the public health and equity impacts of this shift are not yet well understood. This study focused on three MDAs in New Zealand and aimed to answer (1) what is the health profile of the foods being offered on-demand, (2) how many food outlets are available and does this differ by physical access or neighbourhood demographics and (3) does the health profile of foods offered differ by physical access or neighbourhood demographics? A dataset was created by sampling a set of street addresses across a range of demographic variables, and recording the menu items and number of available outlets offered to each address. Machine learning was utilised to evaluate the healthiness of menu items, and we examined if healthiness and the number of available outlets varied by neighbourhood demographics. Over 75% of menu items offered by all MDAs were unhealthy and approximately 30% of all menu items across the three MDAs scored at the lowest level of healthiness. Statistically significant differences by demographics were identified in one of the three MDAs in this study, which suggested that the proportion of unhealthy foods offered was highest in areas with the greatest socioeconomic deprivation and those with a higher proportion of Māori population. Policy and regulatory approaches need to adapt to this novel mode of access to unhealthy foods, to mitigate public health consequences and the effects on population groups already more vulnerable to non-communicable diseases.

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study

Young adults are frequent consumers of food prepared outside the home (FOH). In a cross-sectional survey, the MYMeals study, we showed FOH provided one-third of meals and snacks for young Australian adults, yet it contributed higher proportions of energy and nutrients of concern, such as saturated fat and sodium. This study aimed to determine the detailed proportional contribution of nutrients of concern from the nine food outlet types captured in the MYMeals study. Young adults residing in New South Wales (NSW), Australia, (n = 1001) used a validated smartphone app to report all types and amounts of food and beverages consumed for three consecutive days, as well as their preparation location. The proportions of daily energy, macronutrients, sodium, total sugars, and saturated fat were calculated for each of the nine following outlet types: bakeries or patisseries, coffee chains, cold-drink chains, fast-food chains, ice creamery or frozen yoghurt outlets, independent cafes or restaurants, pubs (hotels) and clubs, service stations or convenience stores, and others not fitting the above categories. Of all FOH outlet types, independent cafes or restaurants contributed the most energy (17.5%), sodium (20.0%) and saturated fat (17.8%) to the total diet, followed by fast-food chains (12.0% energy, 15.8% sodium, and 12.0% saturated fat) and other outlets, with smaller proportions. For males, the proportion of energy and nutrients contributed by fast-food outlets was higher than for females (14.8% versus 9.8% energy). Menu labelling at independent cafes and restaurants is recommended, comprising, in addition to the energy labels already in use in fast-food restaurants, the labelling of nutrients of concern. The feasibility of this recommendation warrants further exploration.

Understanding the Online Environment for the Delivery of Food, Alcohol and Tobacco: An Exploratory Analysis of 'Dark Kitchens' and Rapid Grocery Delivery Services

Online spaces are increasingly important in the sale of food, alcohol and tobacco. This analysis focuses on two developments in online food delivery: delivery-only 'dark kitchens' and rapid grocery delivery services (RGDS), with the aim to understand and assess the availability of health harming and health promoting products through these services. Data was collected for one metropolitan local authority in London, UK, using publicly available online sources. Being explorative in nature, the analysis includes descriptive statistics and qualitative assessment. Three dark kitchens (renting kitchens to 116 food businesses), three grocery delivery apps, and 76 grocery businesses available through online delivery platforms were identified. Most businesses renting dark kitchen space were 'virtual restaurants' (52%) selling fast food (47%) or dessert (21%) through online delivery platforms. RGDS sold a variety of items, with a focus on pre-packaged foods high in fat, salt and sugar, alcoholic beverages and tobacco. These items were also most likely to be promoted through offers and promotional language. Fruits and vegetables were less commonly available and mainly on grocery delivery apps. Online delivery services increase the temporal and geographic availability and promotion of many unhealthy products. Research expanding on the geographic area of interest is needed.

Perspective: Are Online Food Delivery Services Emerging as Another Obstacle to Achieving the 2030 United Nations Sustainable Development Goals?

Online food delivery usage has soared during the 2019 novel coronavirus (COVID-19) pandemic which has seen increased demand for home-delivery during government mandated stay-at-home periods. Resulting implications from COVID-19 may threaten decades of development gains. It is becoming increasingly more important for the global community to progress toward sustainable development and improve the wellbeing of people, economies, societies, and the planet. In this perspective article, we discuss how the rising use of these platform-to-consumer delivery operations may impede advances toward the United Nations 2030 Sustainable Development Goals (SDGs). Specifically, online food delivery services may disrupt SDGs that address good health and wellbeing, responsible consumption and production, climate action and decent work and economic growth. To mitigate potential negative impacts of these meal delivery apps, we have proposed a research and policy agenda that is aligned with entry points within a systems approach identified by the World Health Organization. Food industry reforms, synergised public health messaging and continuous monitoring of the growing impact of online food delivery should be considered for further investigation by researchers, food industry, governments, and policy makers.

Living through the COVID-19 Pandemic: Impact and Lessons on Dietary Behavior and Physical Well-Being

The aim of this review is to highlight the spectrum on which human behavior has been affected by blanket restriction measures and on a wider scale, the COVID-19 pandemic. Some of the human behaviors that have been impacted by the COVID-19 lockdown are dietary behavior and nutrition, food options and food delivery usage, physical activity and sedentary behaviors. This is important in planning effective public health strategies with minimal detriment to all subsets of society as well as improving the distribution of government aid to populations that are more severely affected. Our main purpose is to present the literature from a rapidly growing pool of scientific research to hopefully enable a better and more comprehensive understanding of the effects of this pandemic and the lessons learnt from the accompanying restrictions, as well as policy recommendations that can be made in national pandemic responses in the future.

Enabling Better Nutrition for Adolescents from Middle Eastern Backgrounds: Semi-Structured Interviews with Parents

The unyielding obesity epidemic in adolescents from Middle Eastern (ME) backgrounds warrants culturally-responsive and co-designed prevention measures. This study aimed to capture the opinions of ME parents residing in Australia on the crisis and their enablers and barriers to healthy eating interventions given their influence on adolescent eating behaviors. Twenty-six semi-structured interviews were conducted with ME mothers, aged 35-59 years, and most residing in low socioeconomic areas (n = 19). A reflexive thematic analysis using the Capability, Opportunity, Motivation-Behaviour model and Theoretical Domain Framework was conducted. Parents expressed confidence in knowledge of importance of healthy eating, but were reluctant to believe behaviours were engaged in outside of parental influence. Time management skills are needed to support working mothers and to minimize reliance on nearby fast-food outlets, which was heightened during COVID-19 with home-delivery. Time constraints also meant breakfast skipping was common. A culture of feeding in light of diet acculturation and intergenerational trauma in this diaspora was also acknowledged. Parents pleaded for upstream policy changes across government and school bodies to support parental efforts in the form of increased regulation of fast-food and subsidization of healthy products. Opportunities for weight-inclusive programs including parenting workshops underpinned by culturally-responsive pedagogy were recommended.

Associations between online food outlet access and online food delivery service use amongst adults in the UK: a cross-sectional analysis of linked data

BACKGROUND

Online food delivery services facilitate 'online' access to food outlets that typically sell lenergy-dense nutrient-poor food. Greater online food outlet access might be related to the use of this purchasing format and living with excess bodyweight, however, this is not known. We aimed to investigate the association between aspects of online food outlet access and online food delivery service use, and differences according to customer sociodemographic characteristics, as well as the association between the number of food outlets accessible online and bodyweight.

METHODS

In 2019, we used an automated data collection method to collect data on all food outlets in the UK registered with the leading online food delivery service Just Eat (n = 33,204). We linked this with contemporaneous data on food purchasing, bodyweight, and sociodemographic information collected through the International Food Policy Study (analytic sample n = 3067). We used adjusted binomial logistic, linear, and multinomial logistic regression models to examine associations.

RESULTS

Adults in the UK had online access to a median of 85 food outlets (IQR: 34-181) and 85 unique types of cuisine (IQR: 64-108), and 15.1% reported online food delivery service use in the previous week. Those with the greatest number of accessible food outlets (quarter four, 182-879) had 71% greater odds of online food delivery service use (OR: 1.71; 95% CI: 1.09, 2.68) compared to those with the least (quarter one, 0-34). This pattern was evident amongst adults with a university degree (OR: 2.11; 95% CI: 1.15, 3.85), adults aged between 18 and 29 years (OR: 3.27, 95% CI: 1.59, 6.72), those living with children (OR: 1.94; 95% CI: 1.01; 3.75), and females at each level of increased exposure. We found no association between the number of unique types of cuisine accessible online and online food delivery service use, or between the number of food outlets accessible online and bodyweight.

CONCLUSIONS

The number of food outlets accessible online is positively associated with online food delivery service use. Adults with the highest education, younger adults, those living with children, and females, were particularly susceptible to the greatest online food outlet access. Further research is required to investigate the possible health implications of online food delivery service use.

Socioeconomic inequalities in food outlet access through an online food delivery service in England: A cross-sectional descriptive analysis

Online food delivery services facilitate 'online' access to food outlets selling food prepared away-from-home. Online food outlet access has not previously been investigated in England or across an entire country. Systematic differences in online food outlet access could exacerbate existing health inequalities, which is a public health concern. However, this is not known. Across postcode districts in England (n = 2118), we identified and described the number of food outlets and unique cuisine types accessible online from the market leader (Just Eat). We investigated associations with area-level deprivation using adjusted negative binomial regression models. We also compared the number of food outlets accessible online with the number physically accessible in the neighbourhood (1600m Euclidean buffers of postcode district geographic centroids) and investigated associations with deprivation using an adjusted general linear model. For each outcome, we predicted means and 95% confidence intervals. In November 2019, 29,232 food outlets were registered to accept orders online. Overall, the median number of food outlets accessible online per postcode district was 63.5 (IQR; 16.0-156.0). For the number of food outlets accessible online as a percentage of the number accessible within the neighbourhood, the median was 63.4% (IQR; 35.6-96.5). Analysis using negative binomial regression showed that online food outlet access was highest in the most deprived postcode districts (n = 106.1; 95% CI: 91.9, 120.3). The number of food outlets accessible online as a percentage of those accessible within the neighbourhood was highest in the least deprived postcode districts (n = 86.2%; 95% CI: 78.6, 93.7). In England, online food outlet access is socioeconomically patterned. Further research is required to understand how online food outlet access is related to using online food delivery services.