Exploring relationships of grocery shopping patterns and healthy food accessibility in residential neighborhoods and activity space

2020 ◽  
Vol 116 ◽  
pp. 102169 ◽  
Author(s):  
Jingjing Li ◽  
Changjoo Kim
2019 ◽  
Vol 9 (5) ◽  
pp. 865-874 ◽  
Author(s):  
Alison Gustafson ◽  
Shu Wen Ng ◽  
Stephanie Jilcott Pitts

Abstract Rural communities experience higher rates of obesity, and residents have a lower intake of fruits and vegetables. Innovative healthy food promotions in supermarkets may improve healthy food access and dietary intake among residents, yet few supermarket interventions have been translated to the rural context. The aim of this project was to determine whether a supermarket-based intervention “Plate it Up Kentucky” was associated with change in fruit, vegetable, and sugar-sweetened beverage (SSB) purchases among rural supermarket customers. Ten Kentucky supermarkets participated in an intervention titled “Plate It Up” to provide in-store promotions, including recipe cards, samples, price reductions for specific fruits and vegetables, and marketing on shopping carts. Six stores in rural Kentucky and North Carolina were controls. Two cross-sectional customer intercept surveys were conducted among grocery store customers in Spring of 2016 (baseline, n = 131 control and n = 181 intervention store customers) and Spring–Summer of 2017 (post-intervention, n = 100 control and n = 83 intervention store customers). Customers were asked to provide store receipts and participate in a survey assessing grocery shopping practices and dietary intake. The primary outcome was purchases in fruit and vegetable (obtained from receipt data). The secondary outcome was dietary intake (captured with the National Cancer Institute's Fruit and Vegetable Screener and BRFSS questionnaire). An adjusted, difference-in-difference model was used to assess the differences between control and intervention store customers at baseline, post-intervention, and then between the two time points. Post-intervention, there was a greater increase in customers stating that they “liked the food” as one main reason for shopping in the store where surveyed among intervention versus control store customers. The adjusted difference-in-difference model indicated that intervention store customers spent on average 8% more on fruits and vegetables from baseline to post-intervention (p = .001) when compared with customers from control stores. Among controls, spending on SSB decreased from $3.61 at baseline to $3.25 at post-intervention, whereas among intervention customers, spending on SSB decreased from $2.75 at baseline to $1.81 at post-intervention (p = .02). In-store promotions that provide recipe cards, samples, price reductions for specific fruits and vegetables, and marketing on shopping carts hold promise as a method to promote healthy food purchases among rural supermarket customers at two time points.


2019 ◽  
Author(s):  
Mengqi Zhong ◽  
◽  
Yifan Yu ◽  
◽  

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.


2017 ◽  
Vol 45 (2) ◽  
pp. 191-203
Author(s):  
Youngjee Han ◽  
Myungwoo Nam

We proposed that women would be more likely to be motivated to become a better person by comparing themselves to a better other whereas men would be more likely to be inspired by comparison to a better possible self. In Study 1, conducted with 150 participants in the United States, the results demonstrated that female participants who were asked to think about another person who was physically fit were more likely to make healthy food choices when grocery shopping than were those who were asked to think about themselves as someone who was physically fit. Conversely, male participants were more likely to choose healthy food options when shopping after they had been asked to think about a better possible self rather than a better other. In Study 2, conducted with 172 participants in South Korea, we replicated the findings from Study 1 in relation to the goal of speaking fluent English. Our findings suggest that when there is a fit between self-construal orientation and type of comparison standard, individuals are more likely to be motivated to pursue their goals.


Data ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 7 ◽  
Author(s):  
Marco Helbich ◽  
Julian Hagenauer

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