Going outside the neighborhood: The shopping patterns and adaptations of disadvantaged consumers living in the lower eastside neighborhoods of Detroit, Michigan

LeDoux, Timothy F.; Vojnovic, Igor

doi:10.1016/j.healthplace.2012.09.010

Cited by 130 publications

(89 citation statements)

References 106 publications

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“…The surface produced should thus be a better representation of the true density of the phenomenon than the more commonly used fixed-bandwidth approach. Second, due to variations in the average distance between homes and different outlet types, it is likely that people exhibit different spatial behaviors when accessing different types of food outlets (39)(40)(41)(42)(43). By allowing the bandwidth to vary as a function of the density of outlet types (larger and smaller bandwidths for more sparsely and more densely located outlet types, respectively), potential accessibility to these different outlet types may be better approximated.…”

Section: Food Environment Exposurementioning

confidence: 99%

The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study

Clary¹,

Lewis²,

Flint³

et al. 2016

Am. J. Epidemiol.

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Studies that explore associations between the local food environment and diet routinely use global regression models, which assume that relationships are invariant across space, yet such stationarity assumptions have been little tested. We used global and geographically weighted regression models to explore associations between the residential food environment and fruit and vegetable intake. Analyses were performed in 4 boroughs of London, United Kingdom, using data collected between April 2012 and July 2012 from 969 adults in the Olympic Regeneration in East London Study. Exposures were assessed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative measure (proportion of total outlets classified as healthy). Overall, local models performed better than global models (lower Akaike information criterion). Locally estimated coefficients varied across space, regardless of the type of exposure measure, although changes of sign were observed only when absolute measures were used. Despite findings from global models showing significant associations between the relative measure and fruit and vegetable intake (β = 0.022; P < 0.01) only, geographically weighted regression models using absolute measures outperformed models using relative measures. This study suggests that greater attention should be given to nonstationary relationships between the food environment and diet. It further challenges the idea that a single measure of exposure, whether relative or absolute, can reflect the many ways the food environment may shape health behaviors. absolute exposure; fruit and vegetable intake; geographically weighted regression; local food environment; nonstationarity; relative exposure Abbreviations: AICc, corrected Akaike information criterion; GWR, geographically weighted regression; ORiEL, Olympic Regeneration in East London.Over the last decade, an extensive body of research has investigated how the local food environment may be related to dietary behaviors (1). A large majority of studies have used global regression to model the association between exposure to either healthy or unhealthy food environments and diet-related outcomes (2, 3). However, reviews have highlighted the lack of consistency in findings (2, 3), with associations for the same type of relationship being positive (4-10), negative (11), or nonexistent (12-18).By using global regression models, researchers have implicitly relied on the assumption of a stationary relationship; that is, parameter estimates describe what is assumed to be an invariant relationship across space. However, public health researchers have begun to challenge the stationarity assumption. Using spatial regression modeling, such as geographically weighted regression (GWR), a technique that allows for spatial variations in parameter estimates (19,20), investigators have highlighted variations in associations across space between a range of environmental exposures and outcomes such as diet (21), obesity (22-27), active transportation (28), and bi...

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Section: Food Environment Exposurementioning

confidence: 99%

The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study

Clary¹,

Lewis²,

Flint³

et al. 2016

Am. J. Epidemiol.

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“…Research has shown that residents, specifically those of low income, often shop outside their neighborhoods of residence. 15–17 Another way to examine the influence of supermarkets on health outcomes is to focus on characteristics of the store where people actually shop.…”

Section: Introductionmentioning

confidence: 99%

Distance to Store, Food Prices, and Obesity in Urban Food Deserts

Ghosh-Dastidar

Cohen

Hunter³

et al. 2014

American Journal of Preventive Medicine

244

162

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Background Lack of access to healthy foods may explain why residents of low-income neighborhoods and African Americans in the U.S. have high rates of obesity. The findings on where people shop and how that may influence health are mixed. However, multiple policy initiatives are underway to increase access in communities that currently lack healthy options. Few studies have simultaneously measured obesity, distance, and prices of the store used for primary food shopping. Purpose To examine the relationship among distance to store, food prices, and obesity. Methods The Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health study conducted baseline interviews with 1,372 households between May and December 2011 in two low-income, majority African American neighborhoods without a supermarket. Audits of 16 stores where participants reported doing their major food shopping were conducted. Data were analyzed between February 2012 and February 2013. Results Distance to store and prices were positively associated with obesity (p<0.05). When distance to store and food prices were jointly modeled, only prices remained significant (p<0.01), with higher prices predicting a lower likelihood of obesity. Although low- and high-price stores did not differ in availability, they significantly differed in their display and marketing of junk foods relative to healthy foods. Conclusions Placing supermarkets in food deserts to improve access may not be as important as simultaneously offering better prices for healthy foods relative to junk foods, actively marketing healthy foods, and enabling consumers to resist the influence of junk food marketing.

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“…It has previously been documented that residents in disadvantaged neighborhoods shop outside of their neighborhood, 103 thus the lack of associations between the distance and density measures and SSB consumption in this sample is not too surprising. Social aspects such as safety and relationships with food store retailers may affect how and where African Americans shop and define their food environment.…”

Section: Limitationsmentioning

confidence: 55%

Improving Diet in Low-Income Neighborhoods: Leveraging the Food Environment for Change

Huang¹

2016

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Going outside the neighborhood: The shopping patterns and adaptations of disadvantaged consumers living in the lower eastside neighborhoods of Detroit, Michigan

Cited by 130 publications

References 106 publications

The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study

The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study

Distance to Store, Food Prices, and Obesity in Urban Food Deserts

Improving Diet in Low-Income Neighborhoods: Leveraging the Food Environment for Change

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