Food retailer practices, attitudes and beliefs about the supply of healthy foods

PROTOCOL: Impact of the food environment on diet-related health outcomes in school-age children and adolescents in low- and middle-income countries: a systematic review.

BackgroundEntertainment media content is often mentioned as one of the roots of children’s unhealthy food consumption. This might be due to the high quantity of unhealthy foods presented in children’s media environments. However, less is known about the role of the centrality of food placement, that is, whether foods are interacted with, consumed, verbally mentioned, or appear unobtrusively. We also lack longitudinal research measuring both children’s unhealthy and healthy food consumption behaviors as outcomes.ObjectiveThe aim is to connect content analytical data based on children’s actual media diet with panel data in order to explain children’s food preferences. Moreover, this study not only focuses on the amount of healthy and unhealthy foods children are exposed to, but also on how these foods are presented (ie, centrally or not). Furthermore, we looked at the question of how parental coviewing can diminish (or enhance) the effects of unhealthy (or healthy) food depictions, and we measured healthy and unhealthy consumption as dependent variables.MethodsWe conducted a 2-wave panel study with children and one of their parents (of 2250 parents contacted, 829 responded, for a response rate of 36.84%; 648 valid cases, ie, parent-child pairs, were used for analysis), with 6 months between the 2 panel waves. We linked the 2-wave panel data for the children and their parents to content analytical data for movies (n=113) and TV series (n=134; 3 randomly chosen episodes per TV series were used) that children were exposed to over the course of 6 months.ResultsThere was no significant relationship between exposure to unhealthy food presentation and unhealthy (b=0.008; P=.07) or healthy (b=−0.003; P=.57) food consumption over time. Also, healthy food presentation was unrelated to unhealthy (b=0.009; P=.18) or healthy (b=0.000; P=.99) food consumption over time. However, there was a significant, positive interaction between unhealthy food presentation and presentation centrality on unhealthy food consumption (b=0.000; P=.03), suggesting that the effects of unhealthy food presentation rise with increasing levels of centrality. There was no interaction between unhealthy food presentation and presentation centrality on the consumption of healthy foods (b=0.000; P=.10). Also, exposure to healthy food presentation interacted with centrality (b=−0.001; P=.003). That is, when a healthy product was presented at maximum centrality, it led to less unhealthy food consumption in children. Coviewing did not interact with exposure to unhealthy foods when explaining unhealthy (b=0.003; P=.08) or healthy (b=−0.001; P=.70) food consumption.ConclusionsWe conclude that simply presenting more healthy foods is not sufficient to combat children’s unhealthy food preferences. Further regulations may be necessary with respect to representations of unhealthy foods in children’s media.

ObjectiveSmall food store interventions show promise to increase healthy food access in under-resourced areas. However, none have tested the impact of price discounts on healthy food supply and demand. We tested the impact of store-directed price discounts and communications strategies, separately and combined, on the stocking, sales and prices of healthier foods and on storeowner psychosocial factors.DesignFactorial design randomized controlled trial.SettingTwenty-four corner stores in low-income neighbourhoods of Baltimore City, MD, USA.SubjectsStores were randomized to pricing intervention, communications intervention, combined pricing and communications intervention, or control. Stores that received the pricing intervention were given a 10–30 % price discount by wholesalers on selected healthier food items during the 6-month trial. Communications stores received visual and interactive materials to promote healthy items, including signage, taste tests and refrigerators.ResultsAll interventions showed significantly increased stock of promoted foods v. control. There was a significant treatment effect for daily unit sales of healthy snacks (β=6·4, 95 % CI 0·9, 11·9) and prices of healthy staple foods (β=–0·49, 95 % CI –0·90, –0·03) for the combined group v. control, but not for other intervention groups. There were no significant intervention effects on storeowner psychosocial factors.ConclusionsAll interventions led to increased stock of healthier foods. The combined intervention was effective in increasing sales of healthier snacks, even though discounts on snacks were not passed to the consumer. Experimental research in small stores is needed to understand the mechanisms by which store-directed price promotions can increase healthy food supply and demand.

BackgroundUnhealthy behaviors (eg, poor food choices) contribute to obesity and numerous negative health outcomes, including multiple types of cancer and cardiovascular and metabolic diseases. To promote healthy food choice, diet interventions should build on the dual-system model to target the regulation and reward mechanisms that guide eating behavior. Episodic future thinking (EFT) has been shown to strengthen regulation mechanisms by reducing unhealthy food choice and temporal discounting (TD), a process of placing greater value on smaller immediate rewards over larger future rewards. However, these interventions do not target the reward mechanisms that could support healthy eating and strengthen the impact of EFT-anchored programs. Increasing positive affect (PosA) related to healthy food choices may target reward mechanisms by enhancing the rewarding effects of healthy eating. An intervention that increases self-regulation regarding unhealthy foods and the reward value of healthy foods will likely have a greater impact on eating behavior compared with interventions focused on either process alone.ObjectiveThis study aimed to introduce a protocol that tests the independent and interactive effects of EFT and PosA on TD, food choice, and food demand in overweight and obese adults.MethodsThis protocol describes a factorial, randomized, controlled pilot study that employs a 2 (affective imagery: positive, neutral) by 2 (EFT: yes, no) design in which participants are randomized to 1 of 4 guided imagery intervention arms. In total, 156 eligible participants will complete 2 lab visits separated by 5 days. At visit 1, participants complete surveys; listen to the audio guided imagery intervention; and complete TD, food demand, and food choice tasks. At visit 2, participants complete TD, food demand, and food choice tasks and surveys. Participants complete a daily food frequency questionnaire between visits 1 and 2. Analyses will compare primary outcome measures at baseline, postintervention, and at follow-up across treatment arms.ResultsFunding notification was received on April 27, 2017, and the protocol was approved by the institutional review board on October 6, 2017. Feasibility testing of the protocol was conducted from February 21, 2018, to April 18, 2018, among the first 32 participants. As no major protocol changes were required at the end of the feasibility phase, these 32 participants were included in the target sample of 156 participants. Recruitment, therefore, continued immediately after the feasibility phase. When this manuscript was submitted, 84 participants had completed the protocol.ConclusionsOur research goal is to develop novel, theory-based interventions to promote and improve healthy decision-making and behaviors. The findings will advance decision-making research and have the potential to generate new neuroscience and psychological research to further understand these mechanisms and their interactions.Trial RegistrationISRCTN Registry ISRCTN11704675; http://www.isrctn.com/ISRCTN11704675 (Archived by WebCite at http://www.webcitation.org/760ouOoKG)International Registered Report Identifier (IRRID)DERR1-10.2196/12265

BackgroundModern families are facing conflicting demands on their time and resources, which may be at the detriment of child and family diet quality. Innovative nutrition interventions providing parents with behavioral support for the provision of healthy food could alleviate this issue. Mobile apps have the potential to deliver such interventions by providing practical behavioral support remotely, interactively, and in context.ObjectiveThis review aimed to identify and assess popular, commercially available food- and nutrition-related mobile apps that offer support for the provision of healthy family food by (1) describing app scope and characteristics, (2) assessing app quality, and (3) conducting a behavioral analysis of app content and features.MethodsSearches in the Google Play Store and Apple App Store between August 2017 and November 2017 identified apps addressing the food provision process. Apps were included if they were applicable to parents or families, written in English, and with a user rating of ≥4 stars. Weight loss and diet monitoring apps and subscription apps with no free versions were excluded. App quality was assessed using the Mobile App Rating Scale (4 domains: engagement, functionality, aesthetics, and information). App content and features were extracted and behavior change techniques (BCTs) identified.ResultsOf the 2881 apps screened, 1.77% (51/2881) were included for assessment, comprising 23 recipe and recipe manager apps, 12 meal planning apps, 10 shopping list apps, 4 family organizers, and 2 food choice apps. Half (n=26) of the apps functioned primarily through user data input. Food choice and family organizer apps scored highest for app quality (mean 3.5 [SD 0.6] out of 5), whereas most apps scored well for functionality and poorly for engagement. Common app features with the potential to support healthy food provision included meal planners (n=26), shopping lists (n=44), and the ability to share app content (n=48). Behavioral support features mapped to relatively few BCTs (mean 3.9 [SD 1.9] per app), with Adding objects to the environment present in all apps, and 65% (33/51) including Instruction on how to perform the behavior.ConclusionsRecipe and recipe manager apps, meal planning apps, and family organizers with integrated meal planning and shopping lists scored well for functionality and incorporated behavioral support features that could be used to address barriers to healthy food provision, although features were focused on planning behaviors. Future apps should combine a range of features such as meal planners, shopping lists, simple recipes, reminders and prompts, and food ordering to reduce the burden of the food provision pathway and incorporate a range of BCTs to maximize behavior change potential. Researchers and developers should consider features and content that improve the engagement quality of such apps.

Spatial and socioeconomic disparities in the availability of healthy food via online food delivery services in Nanjing, China: An analysis based on absolute and relative measures.

Inclusive diets within planetary boundaries

Impulsivity moderates the effect of approach bias modification on healthy food consumption

BackgroundDiet-related noncommunicable diseases (NCDs) are a leading cause of ill-health and death across Europe. In Ireland, dietary intakes of saturated fat, free sugar and salt exceed World Health Organization recommendations, and excess consumption follows a social gradient increasing population risk of diet-related NCDs. The retail food environment can influence consumer food choice and subsequent dietary intakes. In high income countries, supermarkets are an increasingly influential actor in consumer food availability, choice, purchase, and subsequent food intake. This study aims to assess the relative availability and prominence of healthy and unhealthy foods in Irish supermarkets, by area-level deprivation.MethodsThis study used a cross-sectional study design, and applied a validated measure, as described in the INFORMAS Protocol: Food Retail – Food availability in supermarkets. Between October 2021 and February 2022, shelf space (m2) (height or depth (cm) × length (cm)) and prominence (visibility), of foods, classified as healthy and unhealthy and represented by a proxy indicator, were collected in supermarkets (n = 36) in County Dublin, Ireland. Overall the proportion of mean relative shelf space (m2), allocated to healthy and unhealthy foods, and its prominence, by area-level deprivation, and retailer, were determined. We used t-tests and one-way ANOVA to analyse possible differences between the proportion of relative shelf space available to healthy and unhealthy foods, and its prominence, by area-level deprivation and retailer.ResultsThe study found the proportion of shelf space measured allocated to unhealthy food was 68.0% (SD 10.6). Unhealthy foods were more likely to be in areas of high prominence. Overall, there was no statistically significant difference between the proportion of relative shelf space available to unhealthy foods in areas of high and low deprivation. A statistically significant difference in the proportion of relative shelf space allocated to healthy and unhealthy food by area level deprivation was found in one retailer.ConclusionUnhealthy foods had a higher proportion of shelf space and were more prominent than healthy foods in supermarkets in County Dublin, Ireland. The current availability and prominence of foods in supermarkets does not align with Food Based Dietary Guideline recommendations and does not support consumers to make healthier food choices. There is a need for supermarkets in Ireland to improve the availability and prominence of healthy foods to support consumers to make healthier food choices.

The effect of playing advergames promoting healthy or unhealthy foods on actual food intake among children

Background Current food environments steer unhealthy food choices, increasing the risk for diet-related non-communicable diseases. Changing food environments is complex and underlying system dynamics of local food environments are relatively unclear. This study aimed to identify factors and leverage points that shape local food environments and to develop systemic actions with local stakeholders to improve food environments. Methods Two workshops (in 2022) were held in a Dutch municipality using a community-based system dynamics approach in which a variety of stakeholders (n = 13) participated (e.g., policy maker, retailers, health coach, citizens). Group model building exercises were used to identify factors shaping the local food environment and to develop a causal loop diagram. Subsequently, leverage points and actions to improve food environments were identified by the stakeholders. Results Based on the first workshop, a total of 46 factors influencing the local food environment were identified and categorized into four subsystems including commercial-, political-, global- and societal factors. The leverage points included the anti-lobby from food industry, food industry's willingness to change, Government/consumer priority on healthy food, food policy, e-commerce and platform economy, demand for healthy food, time to prepare/consume meals. In correspondence, 20 actions to improve the local food environment were identified during the second workshop. Moreover, the exercises initiated dialogues and collaborations between the participating stakeholders to adapt their local food environment. Conclusions This research yielded one of the first causal loop diagrams showing the multiple and varied factors influencing the local food environment. It underlines the importance of using a systems approach to adapt and improve food environments. More work is needed to implement the developed actions and to translate the system dynamics approach for use by non-academics. Key messages • Food environments are complex adaptive systems, which require a systems dynamic approach to generate change. • Food environments need to be adapted at multiple levels requiring multiple pathways and stakeholders to succeed, and thus move away from single component interventions.

Little is known about the practices for stocking and procuring healthy food in non-traditional food retailers (e.g., gas-marts, pharmacies). The present study aimed to: (i) compare availability of healthy food items across small food store types; and (ii) examine owner/manager perceptions and stocking practices for healthy food across store types. Descriptive analyses were conducted among corner/small grocery stores, gas-marts, pharmacies and dollar stores. Data from store inventories were used to examine availability of twelve healthy food types and an overall healthy food supply score. Interviews with managers assessed stocking practices and profitability. Small stores in Minneapolis and St. Paul, MN, USA, not participating in the Special Supplemental Nutrition Program for Women, Infants, and Children. One hundred and nineteen small food retailers and seventy-one store managers. Availability of specific items varied across store type. Only corner/small grocery stores commonly sold fresh vegetables (63% v. 8% of gas-marts, 0% of dollar stores and 23% of pharmacies). More than half of managers stocking produce relied on cash-and-carry practices to stock fresh fruit (53%) and vegetables (55%), instead of direct store delivery. Most healthy foods were perceived by managers to have at least average profitability. Interventions to improve healthy food offerings in small stores should consider the diverse environments, stocking practices and supply mechanisms of small stores, particularly non-traditional food retailers. Improvements may require technical support, customer engagement and innovative distribution practices.

This research tests whether people use more emotion-based language when communicating with one another about unhealthy foods than healthy foods. This matters because emotion-based language is more persuasive. In three observational studies, we analyzed the emotionality in 1,000 online recipe descriptions, 4,403 food reviews, and 1,184 celebrity social media posts. In two experiments (N = 398), we analyzed the emotionality when people are prompted to persuade someone to consume an unhealthy food compared with a healthy food. In one experiment (N = 192), we tested persuasiveness as a function of emotionality. Speakers use more emotionality when communicating about less healthy foods. People's tendency to focus more on long-term benefits when communicating about healthy (vs. unhealthy) foods mediated the effect of food type on emotionality. Emotionality, in turn, increases persuasiveness for healthy foods. People use emotionality in communicating about unhealthy (vs. healthy) foods. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

P91 Pilot Test of Supporting Wellness at Pantries (SWAP): Clients Chose Healthier Foods after Implementation

The supply of healthy food is distributed unequally in city. The accessibility of healthy foods is affected by both locations and traffic conditions. This paper examines spatio-temporal disparities in healthy food accessibility in Shanghai communities. Firstly, we choose all communities in Shanghai and use python as a crawling tool to collect healthy food store POI (e.g. agricultural markets, vegetable markets, fruit markets, aquatic seafood markets, supermarkets and comprehensive markets) from Gaode Map and get 23,436 points to calculate the amount and density of healthy food store in various communities. Secondly, after comparing Baidu Map and Gaode Map, leading platforms of Web GIS services in China, we choose Baidu Map to collect data to study the spatio-temporal difference in accessibility by using network analysis and developing a crawling tool to collect different travel time (e.g. walking and public transportation) for each community to the closest healthy food store at each time of day (0:00-24:00). Thirdly, we set up a variable to see at what time are people in the communities able to reach their nearest healthy food store in 15 minutes and the ratio of the above-mentioned time to the whole day is calculated so that we can evaluate the temporal disparities of healthy food accessibility. Additionally, we use global and local spatial autocorrelation to analyze the spatial patterns of the temporal disparities of healthy food accessibility, based on the Moran’s index and the local indicator spatial association (LISA) index. Finally, on the basis of the research above, the food desert map is drawn. The results of this analysis identify the communities in Shanghai with the greatest need for improved access to healthy food stores and the variance of accessibility affected by the traffic in different times will be taken into account. Ultimately, this study explores a more complete and realistic condition of healthy food accessibility in Shanghai and the corresponding improvement strategy is proposed.