Online Pilot Grocery Intervention among Rural and Urban Residents Aimed to Improve Purchasing Habits

Online grocery shopping has the potential to improve access to food, particularly among low-income households located in urban food deserts and rural communities. The primary aim of this pilot intervention was to test whether a three-armed online grocery trial improved fruit and vegetable (F&V) purchases. Rural and urban adults across seven counties in Kentucky, Maryland, and North Carolina were recruited to participate in an 8-week intervention in fall 2021. A total of 184 adults were enrolled into the following groups: (1) brick-and-mortar “BM” (control participants only received reminders to submit weekly grocery shopping receipts); (2) online-only with no support “O” (participants received weekly reminders to grocery shop online and to submit itemized receipts); and (3) online shopping with intervention nudges “O+I” (participants received nudges three times per week to grocery shop online, meal ideas, recipes, Facebook group support, and weekly reminders to shop online and to submit itemized receipts). On average, reported food spending on F/V by the O+I participants was USD 6.84 more compared to the BM arm. Online shopping with behavioral nudges and nutrition information shows great promise for helping customers in diverse locations to navigate the increasing presence of online grocery shopping platforms and to improve F&V purchases.

Developing and implementing a new methodology to test the affordability of currently popular weight loss diet meal plans and healthy eating principles

Background Weight loss diets continue to rise in popularity; however, the associated costs are seldom reported. Certain weight loss diets may be unaffordable and differ from their traditional nutrition composition to include non-conventional premium products. In contrast, healthy eating principles such as the Australian Guide to Healthy Eating (AGHE) and the Mediterranean Diet (MedDiet) place an emphasis on fresh produce and staple foods but are sometimes thought to be unaffordable. A new methodology was piloted to assess the cost of weight loss diets using seven meal plans. Methods Seven meal plans were analysed to quantify the absolute grams required of all ingredients across seven days and multiplied by the cost of the ingredient per gram to determine the total cost of each ingredient based on unit size and price. The weekly grocery shopping cost was determined through summation of all ingredients and their entire unit size to compare weekly costs. Results Weekly meal plans (absolute grams) cost between $93-193AUD. The AGHE meal plan was the least expensive and 8 Weeks to Wow was the most expensive. Weekly grocery shopping of entire units cost between $345-$625AUD, over $100AUD greater than the spending of an average Australian ($237AUD/week). Conclusions The financial feasibility for long-term sustainment of weight loss diets may be questionable for groups including low-income earners and low socioeconomic status. Further, when dietary patterns are adapted for weight loss, or followed by consumers, deviations from foundational principles tend to occur which may influence overall cost.

Estimating Dietary Intake from Grocery Shopping Data—A Comparative Validation of Relevant Indicators in Switzerland

In light of the globally increasing prevalence of diet-related chronic diseases, new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards hereby promise to serve as an objective and automatically traceable digital marker for individual food choice behavior and do not require users to manually log individual meal items. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their shopping data in a machine-readable form, representing a historic chance to leverage shopping data for scalable monitoring of food choices. Multiple quantitative indicators for evaluating the nutritional quality of food shopping have been suggested, but so far, no comparison has validated the potential of these alternative indicators within a comparative setting. This manuscript thus represents the first study to compare the calibration capacity and to validate the discrimination potential of previously suggested food shopping quality indicators for the nutritional quality of shopped groceries, including the Food Standards Agency Nutrient Profiling System Dietary Index (FSA-NPS DI), Grocery Purchase Quality Index-2016 (GPQI), Healthy Eating Index-2015 (HEI-2015), Healthy Trolley Index (HETI) and Healthy Purchase Index (HPI), checking if any of them performs differently from the others. The hypothesis is that some food shopping quality indicators outperform the others in calibrating and discriminating individual actual dietary intake. To assess the indicators’ potentials, 89 eligible participants completed a validated food frequency questionnaire (FFQ) and donated their digital receipts from the loyalty card programs of the two leading Swiss grocery retailers, which represent 70% of the national grocery market. Compared to absolute food and nutrient intake, correlations between density-based relative food and nutrient intake and food shopping data are stronger. The FSA-NPS DI has the best calibration and discrimination performance in classifying participants’ consumption of nutrients and food groups, and seems to be a superior indicator to estimate nutritional quality of a user’s diet based on digital receipts from grocery shopping in Switzerland.

Consumer preferences for grocery purchasing during the COVID-19 pandemic: a quantile regression approach

PurposeThe objective is to determine if consumer preferences for grocery purchasing are impacted by the severity of the COVID-19 pandemic and whether these preferences differ by demographic and psychographic characteristics.Design/methodology/approachThe authors conduct an online discrete choice experiment (DCE) with 900 U.S. consumers to assess grocery shopping preferences under various scenarios of the COVID-19 pandemic (i.e. decreasing, constant and increasing cases). The attribute of interest is the purchasing method (i.e. in-store purchase, in-store pickup, curbside pickup and home delivery) with minimum order requirements, time windows and fees as secondary attributes. Heterogeneity in individual-level willingness-to-pay (WTP) estimates for the main attribute is analyzed by means of mixed logit and quantile regression techniques.FindingsThe mixed logit model reveals heterogeneity in WTP estimates for grocery purchasing methods across participants. According to estimates from quantile regressions, the heterogeneity is partly explained by the severity of the COVID-19 pandemic. For example, the home delivery purchasing method is less preferred when the number of cases is decreasing. The results also show that consumer preferences for grocery shopping methods are affected more by psychographic characteristics than demographic characteristics. Consumers who comply with COVID-19 directives (e.g. wear face coverings) have stronger preferences for curbside pickup and home delivery, particularly at the tails of the WTP distributions.Originality/valueAlthough there is much data on food consumer behavior during the COVID-19 pandemic at the aggregate level, there are few analyses of grocery shopping preferences at the individual level. The study represents a first attempt to relate individuals' demographic and psychographic characteristics to their grocery shopping preferences during the COVID-19 pandemic, thus yielding numerous recommendations in terms of consumer segmentation.

COVID-19 affected the food behavior of different age groups in Chinese households

The COVID-19 pandemic brought profound changes to all corners of society and affected people in every aspect of their lives. This survey-based study investigated how household food related matters such as food sourcing and consumption behaviors of 2,126 Chinese consumers in different age groups changed approximately two months into the COVID-19 quarantine. A new food sourcing mechanism, community-based online group grocery-ordering (CoGGO), was widely adopted by households, particularly among the youngest group studied (18–24 years of age). The same group showed a higher confidence in the food supply system during the quarantine and a greater propensity for weight gain while staying-at-home. The more mature age group (≥35 years of age) showed heightened vigilance and awareness, with fewer grocery-shopping trips, a higher tendency for purchasing extra food, and less tendency to waste food. Survey findings of the new food-sourcing mechanism, attitudes to food, and changes in behavior among different age groups provide valuable insights to guide policies and management interventions to address matters pertaining to food supply and distribution, food access and household food security, and food waste reduction.

Consumer behaviour during COVID-19 pandemic

Background. COVID-19 pandemic poses a significant threat in area of public health. In the light of dynamic increase of infections European countries decided to implement special safety measures in order to stop spread of SARS-CoV-2 virus. Reduction of the activity of shopping galleries, grocery stores and gastronomy directly impacted the change of consumer behaviours. Objective. The aim of this research was the analysis of consumer behaviour during COVID-19 pandemic regarding the use of gastronomical services, grocery shopping and undertaken safety measures. Material and methods. The main instrument was original survey conducted on-line in November 2020. The form consisted of metrics and close-ended questions about consumer behaviour during COVID-19 pandemic. 1080 respondents took part in the study (females - 850; men - 230). Results were mapped out in Statistics 13.1 program and graphical representation was prepared in Microsoft Excel. Results. More than half of respondents were working people (n=629; 58%). Vast majority of working respondents during the study were working stationary (n=304; 48%), while remotely only 33% (n=208). Among young respondents almost half of the group was unemployed (n=158; 45%), while the rest of the group was employed (n=195; 55%). Professional activities in the group of respondents that were still learning was mostly stationary/ physic (n=57; 29%). During the pandemic the stationary form of working switched into remote in every third of respondent (n=307; 28%). Conclusions. Global pandemic of COVID-19 forced people to change their current behaviours - both consumer and social. Consumers are aware of risks borne by SARS-CoV-2 infection, which may be concluded from undertaken safety measures.

Food Security and the COVID-19 Crisis from a Consumer Buying Behaviour Perspective—The Case of Bangladesh

Since COVID-19 was confirmed in Bangladesh in March 2020, the government have enacted stringent measures to prevent the spread of the coronavirus, which has had a significant impact on people’s lives. Food consumption habits of consumers have shifted as a result of declining grocery shopping frequency, negative income shock, and food prices shooting up. This paper aims to explore Bangladeshi consumers’ buying behaviour in association with the stress generated from a food supply shortage during the COVID-19 pandemic and the post-outbreak perception of the food industry, using a dataset with 540 online samples collected between July and August 2021. A two-stage cluster sampling method and self-administrated questionnaire techniques were adopted for collecting the data during the third wave of COVID-19. Using partial least squares path modelling (PLS-PM) and multivariate multiple ordered logit regression (MVORD) to reveal the pertinent structure between all the blocks, this study provides two key findings. First, a higher intensity of COVID-19 impact translates into higher food stress associated with income reduction and higher food prices. Second, food stress directly affects consumer buying and consumption behaviour. We strongly recommend connecting consumers with local producers and collective use of shared warehouses through institutions, policies, and reforms to prevent disruption in the food supply chain and to keep food prices stable. Additionally, food producers, distributors, stakeholders, and policy planners should strengthen the food supply chain to stabilize food security.

Rapid indicators of deprivation using grocery shopping data

Measuring socio-economic indicators is a crucial task for policy makers who need to develop and implement policies aimed at reducing inequalities and improving the quality of life. However, traditionally this is a time-consuming and expensive task, which therefore cannot be carried out with high temporal frequency. Here, we investigate whether secondary data generated from our grocery shopping habits can be used to generate rapid estimates of deprivation in the city of London in the UK. We show the existence of a relationship between our grocery shopping data and the deprivation of different areas in London, and how we can use grocery shopping data to generate quick estimates of deprivation, albeit with some limitations. Crucially, our estimates can be generated very rapidly with the data used in our analysis, thus opening up the opportunity of having early access to estimates of deprivation. Our findings provide further evidence that new data streams contain accurate information about our collective behaviour and the current state of our society.

Listening to Older Adults: A Qualitative Analysis of Advice Given During COVID-19

The life experience of older adults offers a unique perspective of coping through historical crises. Specific advice offered by older adults is generally underrepresented in the literature. This qualitative study explores advice offered by older adults to others on how to cope through the COVID-19 pandemic as well as advice for the community about the needs of older adults. A Midwestern sample of 67 older adults aged 70-97 completed one phone interview in June of 2020 as part of a larger study about their experiences with social distancing and isolation. Participants were asked what advice they would give to others during the pandemic and what advice they would give to communities and families about the needs of older adults during the pandemic. Transcripts of these conversations were coded using in vivo and holistic coding as first-cycle methods. These codes were then analyzed using pattern coding as a second-cycle method. Results indicated older adults offered advice along three domains: fostering physical and mental wellbeing, promoting positive life perspectives, and maintaining connections. Advice to communities regarding the needs of older adults included having a selfless attitude and taking intentional actions like grocery shopping and writing letters. However, older adults also recommended avoiding extremes to allow them to maintain their independence and preserve physical distance for safety. Older adults utilized their life perspective and their own coping strategies when offering advice. Future research should evaluate the effectiveness of the advice given and how likely that the advice will be utilized by others.