There’s more to food store choice than proximity: a questionnaire development study

Krukowski, Rebecca A.; Sparks, Carla; DiCarlo, Marisha; McSweeney, Jean C.; West, Delia Smith

doi:10.1186/1471-2458-13-586

Cited by 28 publications

(20 citation statements)

References 26 publications

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“…The four P’s of marketing: product, price, promotion, and placement, influence food purchasing decisions 38–41 along with individual food preferences, 5 transportation, and time. 42, 43 Our results are a combination of where households choose to shop and what the store offers.…”

Section: Discussionmentioning

confidence: 90%

The Nutrient Content of U.S. Household Food Purchases by Store Type

Stern

2016

American Journal of Preventive Medicine

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Introduction Little is known about where households shop for packaged foods, what foods and beverages they purchase, and the nutrient content of these purchases. The objectives are to describe volume trends and nutrient content (food groups and nutrient profiles) of household packaged foods purchases (PFP) by store-type. Methods Cross-sectional analysis of US households’ food purchases (Nielsen Homescan) from 2000 to 2012 (n=652,023 household-year observations) with survey weights used for national representativeness. Household PFP trends (% volume) by store-type, household purchases of key food and beverage groups based on caloric contribution by store-type, and mean caloric and nutrient densities (sugars, saturated fat and sodium) of household PFP by store-type are analyzed. Data were collected from 2000–2012. Analyses were conducted in 2014–2015. Results The proportion of total volume of household PFP significantly increased from 2000 to 2012 for mass-merchandisers (13.1 to 23.9%), convenience-stores (3.6 to 5.9%) and warehouse-club (6.2 to 9.8%), and significantly decreased for grocery-chains (58.5 to 46.3%) and non-chain grocerys (10.3 to 5.2%). Top common sources of calories (%) from household PFP by food/beverage group include: savory snacks, grain-based desserts and regular soft-drinks. The energy, total sugar, sodium and saturated fat densities of household PFP from mass-merchandisers, warehouse-club and convenience-stores were higher, compared to grocery-stores. Conclusions PFP from stores with poorer nutrient density (more energy, total sugar, sodium and saturated fat-dense), such as warehouse-club, mass-merchandisers and convenience-stores are growing, representing a potential US public health concern.

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Section: Discussionmentioning

confidence: 90%

The Nutrient Content of U.S. Household Food Purchases by Store Type

Stern

2016

American Journal of Preventive Medicine

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“…In addition, the definition of fast food may vary among the participants, and thus the responses could be biased. Our study design is based on the assumption that people use the most proximate food outlet; however, this is not necessarily the case, as participants might travel longer distances for food consumption (Burgoine & Monsivais, 2013; Krukowski, Sparks, DiCarlo, McSweeney, & West, 2013). Coulton and colleagues (Coulton, Jennings, & Chan, 2013; Coulton, Korbin, Chan, & Su, 2001) showed that there are individual differences in how a person defines his or her neighborhood.…”

Section: Discussionmentioning

confidence: 99%

Neighborhood fast food availability and fast food consumption

et al. 2015

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Recent nutritional and public health research has focused on how the availability of various types of food in a person’s immediate area or neighborhood influences his or her food choices and eating habits. It has been theorized that people living in areas with a wealth of unhealthy fast-food options may show higher levels of fast-food consumption, a factor that often coincides with being overweight or obese. However, measuring food availability in a particular area is difficult to achieve consistently: there may be differences in the strict physical locations of food options as compared to how individuals perceive their personal food availability, and various studies may use either one or both of these measures. The aim of this study was to evaluate the association between weekly fast-food consumption and both a person’s perceived availability of fast-food and an objective measure of fast-food presence—Geographic Information Systems (GIS)—within that person’s neighborhood. A randomly selected population-based sample of eight counties in South Carolina was used to conduct a cross-sectional telephone survey assessing self-report fast-food consumption and perceived availability of fast food. GIS was used to determine the actual number of fast-food outlets within each participant’s neighborhood. Using multinomial logistic regression analyses, we found that neither perceived availability nor GIS-based presence of fast-food was significantly associated with weekly fast-food consumption. Our findings indicate that availability might not be the dominant factor influencing fast-food consumption. We recommend using subjective availability measures and considering individual characteristics that could influence both perceived availability of fast food and its impact on fast-food consumption. If replicated, our findings suggest that interventions aimed at reducing fast-food consumption by limiting neighborhood fast-food availability might not be completely effective.

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“…This disagreement in findings could be partly related to a gap in knowledge about how primary caregivers make feeding decisions in the context of neighbourhood food availability. Food choices are determined by a complex web of factors (14,(21)(22)(23)(24)(25)(26) . There is a critical need to provide conceptual clarity on how food environments may shape these choices among primary caregivers of children (27)(28)(29) .…”

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confidence: 99%