| Literature DB >> 23886044 |
Celia Larson1, Alisa Haushalter, Tracy Buck, David Campbell, Trevor Henderson, David Schlundt.
Abstract
BACKGROUND: Food deserts, areas that lack full-service grocery stores, may contribute to rising rates of obesity and chronic diseases among low-income and racial/ethnic minority residents. Our corner store project, part of the Centers for Disease Control and Prevention's Communities Putting Prevention to Work initiative, aimed to increase availability of healthful foods in food deserts in Nashville, Tennessee. COMMUNITY CONTEXT: We identified 4 food deserts in which most residents are low-income and racially and ethnically diverse. Our objectives were to develop an approach to increase availability of fresh fruits and vegetables, low-fat or nonfat milk, and 100% whole-wheat bread in Nashville's food deserts and to engage community members to inform our strategy.Entities:
Mesh:
Year: 2013 PMID: 23886044 PMCID: PMC3725846 DOI: 10.5888/pcd10.130008
Source DB: PubMed Journal: Prev Chronic Dis ISSN: 1545-1151 Impact factor: 2.830
Demographic Characteristics in Targeted Census Tracts Located in Food Deserts, Compared With Nashville/Davidson County and State of Tennessee, 2010
| Characteristic | Food Desert 1, Store A | Food Desert 2, Store B | Food Desert 3, Store C | Food Desert 4, Store D | Food Desert 4, Store E | Total Population of All Food-Desert Census Tracts | Davidson County | Tennessee |
|---|---|---|---|---|---|---|---|---|
| Census tract population, n | 1,816 | 2,189 | 5,317 | 2,047 | 4,001 | 15,370 | 626,681 | 6,346,105 |
| Female head of household, % | 33.5 | 24.0 | 25.7 | 26.8 | 51.4 | 44.8 | 14.7 | 13.9 |
| Individuals living below federal poverty guidelines, % | 31.4 | 45.7 | 35.4 | 42.6 | 73.7 | 45.6 | 17.7 | 16.9 |
| Households that received Supplemental Security Income or public assistance, or participated in SNAP in previous 12 months | 59.9 | 83.8 | 63.1 | 52.6 | 92.3 | 72.6 | 19.5 | 22.3 |
| Aged 0–17 y, % | 27.1 | 27.0 | 27.3 | 25.5 | 35.6 | 30.2 | 21.8 | 23.5 |
| Aged ≥65 y, % | 6.1 | 8.65 | 7.9 | 7.6 | 3.2 | 7.5 | 10.4 | 13.4 |
| Black/African American, % | 91.1 | 60.3 | 43.3 | 51.1 | 89.6 | 64.4 | 27.7 | 16.7 |
| Hispanic/Latino, % | 1.5 | 1.0 | 18.9 | 9.1 | 3.5 | 9.1 | 9.8 | 4.6 |
| White, % | 5.1 | 35.8 | 38.4 | 38.9 | 5.4 | 25.4 | 61.4 | 77.6 |
Abbreviation: SNAP, Supplemental Nutrition Assistance Program.
Source: US Census Bureau (16).
FigureBrand and logo for the Communities Putting Prevention to Work corner store intervention in Nashville, Tennessee, 2010–2012.
Proprietor Perceptions, Store Audits, and Customer-Intercept Data From 5 Food-Desert Corner Stores in Nashville, Tennessee, 2011
| Survey Item | Food Desert 1, Store A | Food Desert 2, Store B | Food Desert 3, Store C | Food Desert 4, Store D | Food Desert 4, Store E |
|---|---|---|---|---|---|
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| Neighborhood crime/shoplifting | ✓ | ✓ | ✓ | ✓ | ✓ |
| Lack of structural support for selling items (coolers/displays) | ✓ | ||||
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| Dense residential area | ✓ | ✓ | ✓ | ✓ | |
| High levels of foot traffic | ✓ | ✓ | |||
| Families are primary customers | ✓ | ✓ | |||
| Only store in area/great location | ✓ | ✓ | |||
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| Supports community as a sponsor of sports or events | ✓ | ✓ | |||
| Customers proud of or like having store in neighborhood | ✓ | ✓ | ✓ | ✓ | |
| Estimated use of SNAP/EBT, % | 75 | 30 | 40 | 40 | 15 |
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| Fresh fruit and vegetables | ✓ | ✓ | ✓ | ||
| Low-fat or nonfat milk | ✓ | ✓ | |||
| 100% whole-wheat bread | ✓ | ✓ | ✓ | ||
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| Customer intercepts, n | 54 | 41 | 32 | 30 | 47 |
| Total items purchased, n | 78 | 84 | 44 | 53 | 80 |
| Fresh fruits and vegetables purchased, n | 6 | 5 | 0 | 0 | 0 |
| Low-fat or nonfat milk purchased, n | 0 | 0 | 0 | 0 | 0 |
| 100% Whole-wheat bread purchased, n | 0 | 0 | 0 | 0 | 0 |
Abbreviations: SNAP, Supplemental Nutrition Assistance Program, EBT, electronic benefit transfer.
Stakeholders’ Perceptions of Barriers to Selling Fresh Produce and Other Healthful Foods and Beverages, Nashville, Tennessee, 2011
| Themes | Residents | Clergy |
|---|---|---|
|
| “Even the people selling these items . . . aren’t quite sure what they are or how to prepare them.” | “There are . . . people who don’t know the benefits of eating fresh fruits and vegetables.” |
| “People would love to eat better, but they don’t know how, or even why they should.” | “There are . . . people who don’t know how to tell if what they’re buying is fresh.” | |
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| “The quality is not as good as you would find in an actual grocery store. This can cause people to feel like they have to use a lot of canned or frozen goods.” | “When they do have fruits and vegetables, they are too often of such poor quality that we wouldn’t even want to buy them.” |
| “Companies vary their quality from store to store in different areas: low-income areas equal worse quality equal higher prices.” | ||
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| “Corner stores are not owned by people who have any… connection to the community (don’t live there, didn’t grow up there, didn’t go to school there, don’t go to church there, etc.). Ninety-five percent of . . . residents are African American, but 90% of the businesses . . . are owned by people who are not.” | “Systematic racism in economics: there is no investment in low-income areas, simply because businesses don’t feel they can be profitable.” |
| “[Store owners’] perceptions of what people want; eg, ‘I know these people don’t want this, so I’m not going to order it.’” | “This is an overwhelmingly predominantly black community, but there are hardly any store owners who have any kind of connection to the community.” | |
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| “Community residents cringe when they see the government supporting these store owners who don’t necessarily have their best interests at heart.” | “Some people [feel] it is wrong for government to empower stores that take advantage of our communities. . . . We should get some help to build our own.” |
| “There is a feeling of resentment about . . . stores receiving incentives . . . keeping up the bad practices of poor customer service and selling goods of inferior quality and for higher prices.” | ||
| “What happens when the grant ends?” |
Variables Used to Create Food Desert Index for Nashville, Tennessee
| Variable | Description | Sources | Geographic Resolution |
|---|---|---|---|
|
| Computed distance from each residential parcel to the nearest grocery store | Parcels and grocery stores (derived from tax records) | Parcel level |
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| Computed distance from each residential parcel to the nearest bus stop | Parcels and metro transit | Parcel level |
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| Factor analytically derived index from census data for Nashville | 2000 US census | Block group level |
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| Factor analytically derived index from census data for Nashville | 2000 US census | Block group level |
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| Number of people living in census block group | 2009 US census estimates from Claritas | Block group level |
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| People per square mile | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Housing | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Demographics | 2009 US census estimates from Claritas | Block group level |
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| Percentage of people surveyed who reported having no insurance | 2001–2004 REACH 2010 data | Census tract level |
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| Percentage of people surveyed reporting BMI ≥30 | 2001–2004 REACH 2010 data | Census tract level |
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| Percentage of people surveyed reporting a diagnosis of high blood pressure | 2001–2004 REACH 2010 data | Census tract level |
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| Percentage of people surveyed reporting a diagnosis of high cholesterol | 2001–2004 REACH 2010 data | Census tract level |
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| Percentage of people surveyed reporting a | 2001–2004 REACH 2010 data | Census tract level |
| Key Product Information Categories: [B: Beverage] [C: Candy and fruit snacks] [CH: Chips, Pretzels, Popcorn & Crackers] [F: Fruit] [IC: Frozen Treats] [P: Pastry] [PF: Prepared Food] [NSG: Nuts, Seeds & Granola] [O: Other] | ||||||
|---|---|---|---|---|---|---|
| # | Quantity | Size | Product Brand | Product Name | Product Flavor | Product Category |
| ex. | 2 | .067 | Frito Lay | Nacho Cheese Doritos | Nacho | CH |
| 1 | ||||||
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| 5 | ||||||