Healthy food choices and physical activity opportunities in two contrasting Alabama cities

Bovell-Benjamin, Adelia C.; Hathorn, Chellani S.; Ibrahim, Safa; Gichuhi, Peter N.; Bromfield, E.

doi:10.1016/j.healthplace.2008.08.001

Cited by 38 publications

(31 citation statements)

References 33 publications

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“…A relative or complete lack of fresh produce and wholegrain products is a consistent theme in research on corner stores, particularly for stores in low income, minority, or disadvantaged neighborhoods. 50,[56][57][58][59][60]63,65,67,68,74,75,79,[83][84][85] While most past research on store inventories has focused predominantly-though not exclusively 57,85 -on produce that is fresh, dietary guidelines are not generally specific about recommending fruits and vegetables in this form. [37][38][39][40][41]92,93 In our study, we also considered shelf stable produce varieties such as dried (e.g., raisins), canned (e.g., pop top, single-serving fruit cocktail), and jarred (e.g., salsa) items to show complete exclusion from corner store shelves.…”

Section: Discussionmentioning

confidence: 99%

“…50,56 They are often located around schools, 54 are where children and caregivers shop for food, 55 and may offer less healthful food choices. 50,[57][58][59] In Philadelphia, such stores are called corner stores, the term we will use for all such stores for the remainder of this paper.…”

Section: Introductionmentioning

confidence: 99%

“…These studies looked mainly at indicator foods (e.g., specific vegetables, wholegrain products, or low-fat dairy items as markers of healthful food inventory), 50,[59][60][61][62][63][64][65][66][67][68][69][70][71][72] or used food checklists or indices. [56][57][58][73][74][75][76][77][78][79][80][81][82][83][84][85] However, no prior studies have looked more comprehensively at food offerings, and none have provided a detailed description of snack food inventories in corner stores despite evidence that children purchase and consume unhealthy snacks from corner stores, 55,87 and corner stores provide a substantial number of total daily calories for young people. 88 Prior research has also not directly addressed the nutritional content of corner store snack foods, nor where these food come from.…”

Section: Introductionmentioning

confidence: 99%

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Storing Empty Calories and Chronic Disease Risk: Snack-Food Products, Nutritive Content, and Manufacturers in Philadelphia Corner Stores

2010

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Corner stores are part of the urban food environment that may contribute to obesity and diet-related diseases, particularly for low-income and minority children. The snack foods available in corner stores may be a particularly important aspect of an urban child's food environment. Unfortunately, there is little data on exactly what snack foods corner stores stock, or where these foods come from. We evaluated snack foods in 17 Philadelphia corner stores, located in three ethnically distinct, low-income school neighborhoods. We recorded the manufacturer, calories, fat, sugar, and sodium for all snack items, excluding candy and prepared foods. We then compared the nutritive content of assessed snack items to established dietary recommendations and a school nutrition standard. In total, stores stocked 452 kinds of snacks, with only 15% of items common between all three neighborhoods. Total and unique snacks and snack food manufacturers varied by neighborhood, but distributions in snack type varied negligibly: overall, there were no fruit snacks, no vegetable snacks, and only 3.6% of all snacks (by liberal definition) were whole grain. The remainder (96.4% of snacks) was highly processed foods. Five of 65 manufacturers supplied 73.4% of all kinds of snack foods. Depending on serving size definition, 80.0-91.5% of snack foods were "unhealthy" (by the school nutrition standard), including seven of 11 wholegrain products. A single snack item could supply 6-14% of a day's recommended calories, fat, sugar, and sodium on average (or 56-169% at the extreme) for a "typical" child. We conclude that corner store snack food inventories are almost entirely unhealthful, and we discuss possible implications and next steps for research and intervention.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Storing Empty Calories and Chronic Disease Risk: Snack-Food Products, Nutritive Content, and Manufacturers in Philadelphia Corner Stores

2010

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“…A real-time kinematic global navigation satellite system (RTK GNSS) was used to measure every observed food retailer, and the characteristics of the retailer were identified to classify the food retailer by type. The characteristics of the businesses used to classify the food retailers were drawn from previous literature used for classifying food stores [22] and restaurants [16,23], but modified to fit Danish standards. The definitions of the food retailers are based on the businesses' characteristics as listed in Table 3.…”

Section: Field Observationmentioning

confidence: 99%

Spatial and Semantic Validation of Secondary Food Source Data

Lyseen

Hansen

2014

IJGI

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Governmental and commercial lists of food retailers are often used to measure food environments and foodscapes for health and nutritional research. Information about the validity of such secondary food source data is relevant to understanding the potential and limitations of its application. This study assesses the validity of two government lists of food retailer locations and types by comparing them to direct field observations, including an assessment of whether pre-classification of the directories can reduce the need for field observation. Lists of food retailers were obtained from the Central Business Register (CVR) and the Smiley directory. For each directory, the positive prediction value (PPV) and sensitivity were calculated as measures of completeness and thematic accuracy, respectively. Standard deviation was calculated as a measure of geographic accuracy. The effect of the pre-classification was measured through the calculation of PPV, sensitivity and negative prediction value (NPV). The application of either CVR or Smiley as a measure of the food environment would result in a misrepresentation. The pre-classification based on the food retailer names was found to be a valid method for identifying approximately 80% of the food retailers and limiting the need for field observation.

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“…Various GIS methods also explored cancer patterns and outcome among immigrant populations [18,34]. Spatial and/or temporal clustering for incidence and mortality for some cancer sites was also explored in several studies [20,21,23,25,32,45,46,52,55].…”

Section: Clinico-epidemiological Findings and Implicationsmentioning

confidence: 99%

An eight-year snapshot of geospatial cancer research (2002–2009): clinico-epidemiological and methodological findings and trends

et al. 2010

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Geographic information systems (GIS) offer a very rich toolbox of methods and technologies, and powerful research tools that extend far beyond the mere production of maps, making it possible to cross-link and study the complex interaction of disease data and factors originating from a wide range of disparate sources. Despite their potential indispensable role in cancer prevention and control programmes, GIS are underrepresented in specialised oncology literature. The latter has provided an impetus for the current review. The review provides an eight-year snapshot of geospatial cancer research in peer-reviewed literature (2002-2009), presenting the clinico-epidemiological and methodological findings and trends in the covered corpus (93 papers). The authors concluded that understanding the relationship between location and cancer/cancer care services can play a crucial role in disease control and prevention, and in better service planning, and appropriate resource utilisation. Nevertheless, there are still barriers that hinder the wide-scale adoption of GIS and related technologies in everyday oncology practice.

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Healthy food choices and physical activity opportunities in two contrasting Alabama cities

Cited by 38 publications

References 33 publications

Storing Empty Calories and Chronic Disease Risk: Snack-Food Products, Nutritive Content, and Manufacturers in Philadelphia Corner Stores

Storing Empty Calories and Chronic Disease Risk: Snack-Food Products, Nutritive Content, and Manufacturers in Philadelphia Corner Stores

Spatial and Semantic Validation of Secondary Food Source Data

An eight-year snapshot of geospatial cancer research (2002–2009): clinico-epidemiological and methodological findings and trends

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