scholarly journals Beyond food swamps and food deserts: Exploring urban Australian food retail environment typologies

2022 ◽  
pp. 1-34
Author(s):  
Cindy Needham ◽  
Claudia Strugnell ◽  
Steven Allender ◽  
Liliana Orellana
Keyword(s):  
Food Availability ◽  
Temporal Trends ◽  
Food Deserts ◽  
Healthy Food ◽  
Food Retail ◽  
Retail Environment ◽  
Small Areas ◽  
Food Outlets ◽  
Healthy Food Availability ◽  
Food Retail Environment

Abstract Objective: ‘Food deserts’ and ‘food swamps’ are food retail environment typologies associated with unhealthy diet and obesity. This study aimed to identify more complex food retail environment typologies and examine temporal trends. Design: Measures of food retail environment accessibility and relative healthy food availability were defined for small areas (SA2s) of Melbourne, Australia from a census of food outlets operating in 2008, 2012, 2014 and 2016. SA2s were classified into typologies using a two-stage approach: 1) SA2s were sorted into 20 clusters according to accessibility and availability; 2) clusters were grouped using evidence-based thresholds. Setting: This study was set in Melbourne, the capital city of the state of Victoria, Australia. Subjects: Food retail environments in 301 small areas (Statistical Area 2) located in Melbourne in 2008, 2012, 2014 and 2016. Results: Six typologies were identified based on access (low, moderate and high) and healthy food availability including one where zero food outlets were present. Over the study period SA2s experienced an overall increase in accessibility and healthiness. Distribution of typologies varied by geographic location and area-level socioeconomic position. Conclusion: Multiple typologies with contrasting access and healthiness measures exist within Melbourne and these continue to change over time, the majority of SA2s were dominated by the presence of unhealthy relative to healthy outlets; with SA2s experiencing growth and disadvantage having the lowest access and to a greater proportion of unhealthy outlets.

scholarly journals Developing a National Research Agenda to Support Healthy Food Retail

2020 ◽  
Vol 17 (21) ◽  
pp. 8141 ◽  
Author(s):  
Amelie A. Hecht ◽  
Megan M. Lott ◽  
Kirsten Arm ◽  
Mary T. Story ◽  
Emily Snyder ◽  
...  
Keyword(s):  
Research Agenda ◽  
Healthy Food ◽  
Food Retail ◽  
Retail Environment ◽  
Assistance Programs ◽  
Priority Areas ◽  
Food And Beverage ◽  
Research Questions ◽  
Nutrition Assistance ◽  
Food Retail Environment

The food retail environment is an important driver of dietary choices. This article presents a national agenda for research in food retail, with the goal of identifying policies and corporate practices that effectively promote healthy food and beverage purchases and decrease unhealthy purchases. The research agenda was developed through a multi-step process that included (1) convening a scientific advisory committee; (2) commissioned research; (3) in-person expert convening; (4) thematic analysis of meeting notes and refining research questions; (5) follow-up survey of convening participants; and (6) refining the final research agenda. Public health researchers, advocates, food and beverage retailers, and funders participated in the agenda setting process. A total of 37 research questions grouped into ten priority areas emerged. Five priority areas focus on understanding the current food retail environment and consumer behavior and five focus on assessing implementation and effectiveness of interventions and policies to attain healthier retail. Priority topics include how frequency, duration, and impact of retailer promotion practices differ by community characteristics and how to leverage federal nutrition assistance programs to support healthy eating. To improve feasibility, researchers should explore partnerships with retailers and advocacy groups, identify novel data sources, and use a variety of study designs. This agenda can serve as a guide for researchers, food retailers, funders, government agencies, and advocacy organizations.

Reliability of an Audit Tool to Measure Healthy Food Availability in Food Outlets across Baltimore City

2019 ◽  
Vol 15 (5) ◽  
pp. 628-642
Author(s):  
Caitlin Misiaszek ◽  
Anton Kvit ◽  
Carrie Burns ◽  
Jamie Harding ◽  
Amanda Buczynski ◽  
...  
Keyword(s):  
Food Availability ◽  
Healthy Food ◽  
Audit Tool ◽  
Baltimore City ◽  
Food Outlets ◽  
Healthy Food Availability

scholarly journals COVID-19 Leads to Dramatic Changes in the Food Retail Environment in New York City: May–July 2020

2021 ◽  
Author(s):  
Stella S. Yi ◽  
Shahmir H. Ali ◽  
Rienna G. Russo ◽  
Victoria Foster ◽  
Ashley Radee ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Food Retail ◽  
Retail Environment ◽  
Food Retail Environment

scholarly journals Impacts of fast food and the food retail environment on overweight and obesity in China: a multilevel latent class cluster approach

2011 ◽  
Vol 15 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Xiaoyong Zhang ◽  
Ivo van der Lans ◽  
Hans Dagevos
Keyword(s):  
Fast Food ◽  
Latent Class ◽  
Overweight And Obesity ◽  
Community Level ◽  
Valuable Insight ◽  
Food Retail ◽  
Retail Environment ◽  
Dietary Knowledge ◽  
Food Retail Environment ◽  
The Impact

AbstractObjectiveTo simultaneously identify consumer segments based on individual-level consumption and community-level food retail environment data and to investigate whether the segments are associated with BMI and dietary knowledge in China.DesignA multilevel latent class cluster model was applied to identify consumer segments based not only on their individual preferences for fast food, salty snack foods, and soft drinks and sugared fruit drinks, but also on the food retail environment at the community level.SettingThe data came from the China Health and Nutrition Survey (CHNS) conducted in 2006 and two questionnaires for adults and communities were used.SubjectsA total sample of 9788 adults living in 218 communities participated in the CHNS.ResultsWe successfully identified four consumer segments. These four segments were embedded in two types of food retail environment: the saturated food retail environment and the deprived food retail environment. A three-factor solution was found for consumers’ dietary knowledge. The four consumer segments were highly associated with consumers’ dietary knowledge and a number of sociodemographic variables.ConclusionsThe widespread discussion about the relationships between fast-food consumption and overweight/obesity is irrelevant for Chinese segments that do not have access to fast food. Factors that are most associated with segments with a higher BMI are consumers’ (incorrect) dietary knowledge, the food retail environment and sociodemographics. The results provide valuable insight for policy interventions on reducing overweight/obesity in China. This study also indicates that despite the breathtaking changes in modern China, the impact of ‘obesogenic’ environments should not be assessed too strictly from a ‘Western’ perspective.

scholarly journals Characterising urban immigrants’ interactions with the food retail environment

2020 ◽  
pp. 1-9
Author(s):  
Stella S Yi ◽  
Rienna G Russo ◽  
Bian Liu ◽  
Susan Kum ◽  
Pasquale Rummo ◽  
...  
Keyword(s):  
New York ◽  
Chinese Americans ◽  
Grocery Store ◽  
Grocery Shopping ◽  
Immigrant Communities ◽  
Food Retail ◽  
Retail Environment ◽  
Food Retail Environment

Abstract Objective: The food retail environment is an important determinant of food access and the ability to achieve a healthy diet. However, immigrant communities may procure their food in different ways than the mainstream population owing to preferences for specific cultural products or limited English language proficiency. The objective of this analysis was to describe the grocery shopping patterns and behaviours of one of the largest immigrant groups in New York City, Chinese Americans – a group experiencing high poverty and cardio-metabolic disparities. Design: Cross-sectional survey data. Setting: Community-based sample. Participants: Self-identified Chinese Americans in the New York metropolitan area (n 239). Results: Three shopping patterns were identified: type 1: shopped weekly at an ethnic grocery store – and nowhere else; type 2: shopped weekly at a non-ethnic grocery store, with occasional shopping at an ethnic store and type 3: did not perform weekly shopping. Type 1 v. type 2 shoppers tended to have lower education levels (37·5 v. 78·0 % with college degree); to be on public insurance (57·6 v. 22·8 %); speak English less well (18·4 v. 41·4 %); be food insecure (47·2 v. 24·2 %; P < 0·01 for all) and to travel nearly two miles further to shop at their primary grocery store (β = −1·55; 95 % CI −2·81, −0·30). Discussion: There are distinct grocery shopping patterns amongst urban-dwelling Chinese Americans corresponding to demographic and sociocultural factors that may help inform health interventions in this understudied group. Similar patterns may exist among other immigrant groups, lending preliminary support for an alternative conceptualisation of how immigrant communities interact with the food retail environment.

scholarly journals Association of Home Food Availability with Prediabetes and Diabetes among Adults in the United States

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1209
Author(s):  
Jennifer R. McAtee ◽  
Meng-Hua Tao ◽  
Christian King ◽  
Weiwen Chai
Keyword(s):  
Food Availability ◽  
The United States ◽  
Healthy Food ◽  
Inverse Association ◽  
Healthy Foods ◽  
Low Fat ◽  
Health And Nutrition ◽  
Healthy Food Availability ◽  
Home Food ◽  
Home Food Availability

This study examined associations of home food availabilities with prediabetes and diabetes among 8929 adults (20–70 years) participating in 2007–2010 National Health and Nutrition Examination Surveys. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated by logistic regression. Relative to non-diabetic participants (individuals without diabetes or prediabetes), prediabetes participants were associated with lower availabilities of green vegetables (OR = 0.82; 95% CI = 0.73–0.91; p = 0.0006) and fat-free/low-fat milk (OR = 0.80, 95% CI = 0.65–0.89; p = 0.001) and higher sugary drink availability (OR = 1.24, 95% CI = 1.04–1.48; p = 0.02), adjusting for age, sex, and ethnicity (Model 1). The associations remained significant for vegetables (p = 0.005) and fat-free/low-fat milk (p = 0.02) adjusting for additional confounders (body mass index, education, Model 2). Adjusting for dietary components did not change the above results (in model 2) significantly. Participants with high healthy food availability scores had approximately 31% reduction (p = 0.003) in odds of prediabetes compared to those with low scores in Model 1. No associations were detected for diabetes except for fat-free/low-fat milk availability, for which an inverse association was observed in Model 1 (OR = 0.80, 95% CI = 0.65–0.99; p = 0.04). The results show prediabetes participants had lower availability of healthy foods and higher availability of unhealthy foods, suggesting the need to improve healthy food availability at home for this population.

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