Convenience stores are the key food environment influence on nutrients available from household food supplies in Texas Border Colonias
© Sharkey et al.; licensee BioMed Central Ltd. 2013
Received: 25 June 2012
Accepted: 7 January 2013
Published: 17 January 2013
Few studies have focused on the relationship between the retail food environment and household food supplies. This study examines spatial access to retail food stores, food shopping habits, and nutrients available in household food supplies among 50 Mexican-origin families residing in Texas border colonias.
The design was cross-sectional; data were collected in the home March to June 2010 by promotora-researchers. Ground-truthed methods enumerated traditional (supercenters, supermarkets, grocery stores), convenience (convenience stores and food marts), and non-traditional (dollar stores, discount stores) retail food stores. Spatial access was computed using the network distance from each participant’s residence to each food store. Data included survey data and two household food inventories (HFI) of the presence and amount of food items in the home. The Spanish language interviewer-administered survey included demographics, transportation access, food purchasing, food and nutrition assistance program participation, and the 18-item Core Food Security Module. Nutrition Data Systems for Research (NDS-R) was used to calculate HFI nutrients. Adult equivalent adjustment constants (AE), based on age and gender calorie needs, were calculated based on the age- and gender composition of each household and used to adjust HFI nutrients for household composition. Data were analyzed using bivariate analysis and linear regression models to determine the association of independent variables with the availability of each AE-adjusted nutrient.
Regression models showed that households in which the child independently purchased food from a convenience store at least once a week had foods and beverages with increased amounts of total energy, total fat, and saturated fat. A greater distance to the nearest convenience store was associated with reduced amounts of total energy, vitamin D, total sugar, added sugar, total fat, and saturated fat. Participation in the National School Lunch Program (NSLP) was associated with lower household levels of total energy, calcium, vitamin C, sodium, vitamin D, and saturated fat. Spatial access and utilization of supermarkets and dollar stores were not associated with nutrient availability.
Although household members frequently purchased food items from supermarkets or dollar stores, it was spatial access to and frequent utilization of convenience food stores that influenced the amount of nutrients present in Texas border colonia households. These findings also suggest that households which participate in NSLP have reduced AE-adjusted nutrients available in the home. The next step will target changes within convenience stores to improve in-store marketing of foods and beverages to children and adults.
Nutrition-related health conditions, such as obesity and type 2 diabetes, are increasing among Mexican-origin children and adolescents [1, 2]. Risk factors include increased intakes of energy-dense and nutrient-poor foods, such as fats, salty snacks, desserts, and sugar-sweetened beverages. For poor populations, energy-dense foods may also be more affordable and accessible [3–5]. Social-ecological approaches suggest access to multiple levels of the food environment underpin nutritional health . However, the preponderance of published studies focuses on access to larger stores in the retail food environment, especially supermarkets [3, 7–14]. Smaller community and neighborhood retail food venues may exert a greater influence on the acquisition of household food supplies [15, 16], especially for limited resource families in rural/underserved areas [3, 17]. Neighborhood food stores, such as convenience stores, are ubiquitous, smaller in size and carry fewer fresh and healthier food items [3, 18–20].
Household food supplies, which have shown intra-month volatility in presence and amount of specific foods , may serve as an intermediary between the retail food environment and dietary intake [15, 22, 23]. Household availability of energy, nutrients, and foods may be one of the most critical determinants of dietary intakes and a target for intervention work [24–29]. Factors that may influence household food resources include spatial access to traditional, convenience, and non-traditional retail food stores, transportation, timing and amount of household income, cultural repertoires, food-related household technology, and the household environment (e.g., refrigeration and storage) [21, 30, 31].
Research has examined the neighborhood food environment and its association with dietary intake [32–36], but not its association with household food availability, especially at the nutrient level . Few studies have focused on the relationship between the retail food environment and household food supplies . Thus, our study examined spatial access to traditional, convenience, and non-traditional retail food stores, food shopping habits, and nutrients available in household food supplies among 50 Mexican-origin families that reside in Texas border colonias.
Study setting and participants
The study was conducted in colonias in Hidalgo County, located in the Lower Rio Grande Valley of Texas along the U.S.-Mexico border. Ground-truthed methods were employed to enumerate the presence of traditional, convenience, and non-traditional retail food stores [3, 37]. Trained observers systematically drove all the streets/roads within the study area, identified specific types of traditional (supercenters, supermarkets, and grocery stores), convenience (convenience stores and food marts), and non-traditional retail food stores (dollar stores), and collected data for determination of geographic coordinates.
Study participants were recruited by promotora-researchers (indigenous, State of Texas-certified community health workers trained in research methodologies) from spatially-identified areas and provided consent to participate in the study. Details on eligibility (mothers with at least one child 6–11 years living at home) and recruitment have been described elsewhere . All materials and protocols were approved by the Texas A&M University Institutional Review Board.
This analysis focuses on data collected March to June 2010 from all 50 mothers during two in-home visits (two-week interval): survey data from the first visit and two household food inventories (HFI). All survey data were collected from the mother in Spanish, the language spoken in all participants’ homes. The interviewer-administered survey included demographics (age, education, self-identified ethnicity, marital status, nativity, household composition, and household income), access to transportation (car ownership and car availability during the day), food purchasing from a main grocery store (frequency), dollar or discount store (frequency), and convenience store (the frequency at which food was purchased for the household, the frequency food was purchased food for child, and the frequency at which the child purchased food on his/her own), food and nutrition assistance program participation (Supplemental Nutrition Assistance Program [SNAP], Special Supplemental Nutrition Program for Women, Infants and Children [WIC], School Breakfast Program [SBP], and National School Lunch Program [NSLP]), and the 18-item Core Food Security Module, which classified households as being food secure, moderately food secure, low food secure, or very low food secure .
Household food inventory (HFI)
The HFI, which included 252 items, was modified for a prior HFI project in Texas border colonias to include regional and cultural food items . Promotora-researchers received two full days of training and pretesting prior to completing two detailed inventories of household food supplies (two-week interval) in the homes of study participants. The HFI documented the presence and amount (number or weight) of the following food categories: verdura fresca (fresh vegetables), fruta fresca (fresh fruit), cereales (cereals), pan, pasteles, galletas saladas y galletas (bread, cakes, crackers, and cookies), tortillas, pasta y arroz (tortillas, pasta and rice), leche, lechería, helado, yogur y queso (milk, dairy, ice cream, yogurt, and cheese), carne, carne de aves, jamóny salchichas, frescas o congeladas (fresh or frozen meat, poultry, ham and sausage), mariscos, frescos, congelados o enlatados (fresh, frozen or canned seafood,palomitas de maiz o papitas (popcorn and chips), legumbres (legumes), verduras enlatadas/frasco (canned or jarred vegetables), frutas enlatadas (canned fruit), sopas y consomes (soups and broths), bebidas (beverages), artículos de comida miscelánea (miscellaneous pantry items that excluded commercial baby food, infant formula, and condiments), verduras congeladas (frozen vegetables), frutas congeladas (frozen fruit), aceites y otras mantecas (oils and other fats). Canned fruit was identified as being packed in sirope espeso (heavy syrup) or sirope/jugo ligero (light syrup or juice). Hard copy HFI data were entered into Nutrition Data Systems for Research (NDS-R) 2009 for nutrient analysis. Two-time mean nutrient availability, with equal weighting for each of the two HFI, were calculated for each household for total energy, protein, dietary fiber, calcium, potassium, sodium, vitamin C, vitamin D, total sugars, added sugars, total fat, and saturated fat.
Spatial access was computed using a measure of network distance along the road network; network distance was calculated with ESRI’s Network Analysis extension in ArcInfo 9.2 from each participant’s residence to the geographic position in front of each food store. Two criteria of access were calculated for each participant: 1) proximity (minimum network distance) to nearest retail food stores by type, and 2) coverage (number of different retail food stores by type within one and three network mile buffers) . The buffer distances represent the areas of a long walk (one mile) and reachable by car (within 3 miles), and were used in prior work in Texas border colonias.
All statistical analyses were conducted with Release 12 of Stata Statistical Software (College Station, TX). Descriptive statistics were calculated for demographics, access to transportation, food purchasing, food and nutrition assistance program participation, the 18-item Core Food Security Module, and spatial access to food stores (proximity and coverage). Nutrient availability in household food supplies was calculated using an adult-equivalent adjustment for household composition. To account for gender- and age-specific differences in calorie needs, adult-equivalent adjustment constants were calculated using MyPyramid Food Intake Pattern Calorie Levels  as follows: 1) calorie level for reference group was calculated by averaging the MyPyramid calorie levels for males 19-50 years, using sedentary and moderate activity levels; 2) gender-specific levels were calculated for specific age groups (2–3 y, 4–8 y, 9–13 y, 14–18 y, 19–50 y, 51–60 y, and >60 y); and 3) adult-equivalent constants were calculated as a ratio between gender- and age-specific calorie levels and the 19–50 y male reference. Total adult equivalents were calculated for each household by summing the adult-equivalent adjustments for the household members (children and adults). The adult-equivalent (AE)-adjusted household food availability was calculated by dividing the average of the two HFIs by the household total adult equivalents. Bivariate correlations with AE-adjusted household nutrient availability were estimated using Pearson’s product–moment correlation. Separate linear regression models were estimated to determine the association of independent variables with the availability of each AE-adjusted nutrient. Statistically significant (p < 0.05) variables from the bivariate correlation estimations were simultaneously entered. Backward elimination strategy was used to sequentially remove statistically non-significant variables to obtain the “best” set of independent variables .
Characteristics of participant households ( n = 50), using mothers’ responses to in-home survey
Mean ± SD
35.2 ± 7.0
8.5 ± 3.1
Country of birth
5.7 ± 1.5
Household income, % FPLe
Car availability during the day
Nutrition program participation
Food security statusf
Moderate food security
Low food security
Very low food security
Use of main grocery store
At least once/week
Use of dollar store for food
At least once/week
Use of convenience store
Eat food from convenience store at least once/week
Purchase food from convenience store for child at least once/week
Child purchases food from convenience store on their own at least once/week
Nutrient availability in 50 households based on two household food inventories – unadjusted and AE-adjusted 1
Household nutrient availability
AE-Adjusted household nutrient availability
Mean ± SD
Mean ± SD
119,899 ± 37,678
30,566.3 ± 10,992.9
3,363.4 ± 1,180.7
865.0 ± 373.9
Dietary fiber, g
681.2 ± 354.9
256.0 ± 126.3
20,516.9 ± 7,057.4
5,307.4 ± 2,271.7
108,649.7 ± 42,659.4
28,225.4 ± 13,399.9
110,220.5 ± 40,885.3
28,600.4 ± 12,965.3
Vitamin C, mg
2,964.4 ± 1,370.4
767.4 ± 400.0
Vitamin D, μg
184.2 ± 64.4
47.7 ± 20.7
Total sugars, g
2,920.9 ± 1,288.2
750.5 ± 341.8
Added sugars, g
2,133.8 ± 1,240.3
541.2 ± 294.6
Total fat, g
6,911 ± 2,559.2
1,753.7 ± 691.6
Saturated fat, g
2,026.1 ± 748.1
515.6 ± 206.0
Spatial accessibility to food for the participant households ( n = 50)
Mean ± Standard Deviation
Proximity (distance in miles) a
Traditional Food Stores
5.0 ± 2.5
Convenience stores/food marts
0.75 ± 0.56
Non-Traditional Food Stores
3.1 ± 1.8
Coverage – 1 Mile b
Traditional Food Stores
0.06 ± 0.24
Convenience stores/food marts
3.3 ± 2.4
Non-Traditional Food Stores
0.1 ± 0.3
Coverage – 3 Miles c
Traditional Food Stores
1.0 ± 1.3
Convenience stores/food marts
25.6 ± 8.6
Non-Traditional Food Stores
1.7 ± 1.6
Association of sample characteristics and spatial access to convenience stores with adult-equivalent adjusted household availability of nutrients from food
Dietary Fiber (g)
Vitamin C (mg)
Vitamin D (μg)
Total Sugar (g)
Added Sugar (g)
Total Fat (g)
Total SFA (g)
Convenience – Childb
This study builds on prior work which demonstrated that convenience stores provide greater spatial access (distance and number of shopping opportunities) than traditional food stores [3, 12], and convenience stores expose children and families to a larger assortment of less-healthy foods and beverages compared to healthier options . However, few studies have attempted to examine the relationship between retail food stores and the availability of nutrients in the household. Findings from the current study expand the understanding of the relationship between the local food environment and household nutrient availability. This is apparently the first study to document the relationships of food store access, food shopping behaviors, food and nutrition assistance programs, and AE-adjusted nutrients present in the household.
There are a number of key findings. First, spatial access, in terms of proximity (distance to the nearest food store), was significant only for convenience stores, not for traditional (supercenters, supermarkets, or grocery stores) or non-traditional food stores (dollar or discount stores). A greater distance to the nearest convenience store was associated with reduced household amounts of total energy, vitamin D, total sugar, added sugar, total fat, and saturated fat. Second, frequency of shopping at a main grocery store or dollar/discount store was not associated with household food supplies; however, households in which the child purchased food from a convenience store on his/her own at least once a week had increased amounts of total energy, protein, sodium, fat, and saturated fat. Finally, NSLP participation was associated with lower amounts of present nutrients compared to households that did not participate in the NSLP. This suggests that households that participate in NSLP may reduce their household food supplies since meals are provided for their children in school. It could also be that despite NSLP participation, households are still nutrient poor, in the sense that it is helpful to participating children, but it does not extend to other household members. Overall, these findings document that access and utilization of convenience stores reflect nutrient availability in household food supplies among limited-resource families living in Texas border colonias.
The findings are relevant, given that these areas have limited access to supermarkets or stores that offer a variety of foods and residents thus rely on small stores that are conveniently located for frequent replenishment of food and beverage items [3, 21, 43]. It is important to keep in mind that convenience stores are a valuable element of the food environment that provide children and families with increased exposure to sugar-sweetened beverages and snack foods . Interestingly, food security and household income were not associated with household food supplies, and were dropped from the final models. The one non-convenience store food source that was associated with household nutrient availability was the National School Lunch Program and its important role in bolstering household food supplies among vulnerable populations should be emphasized and further examined in future research.
There are a number of strengths to this study, including understanding the experiences of a hard-to-reach Mexican-origin sample, use of Spanish-language data collected in the home by trained promotora-researchers, nutrient analyses from multiple, comprehensive inventories of household food supplies, AE-adjustment of household supplies, and ground-truthed identification and geocoding of traditional, convenience, and non-traditional retail food stores. To our knowledge, this is the first study to examine a relationship between access to and utilization of convenience stores and nutrient availability within home food supplies. However, there are a number of limitations that warrant mention, such as small sample size, cross-sectional study design, and lack of seasonal variation. Despite such limitations, the research is a valuable contribution to the literature and researchers’ and policy-makers’ understanding of the role of convenience stores on household food supplies among Mexican-origin colonia dwellers.
The results of this study further our understanding of the retail food environment’s influence on household food supplies, an important mediator between the retail food environment and dietary intake. Results indicate convenience stores are an important food source among limited resource Mexican-origin families who are at great risk for poor nutrition and nutrition-related health conditions. Now considered to be a major part of the food environment, convenience stores or food marts offer increased access to beverages and food items, especially in rural and underserved areas . These food venues provide culturally-accepted food with greater convenience than traditional and non-traditional food stores. The next step will be to determine what physical, economic, and sociocultural changes within small stores need to be made in order to improve the food environment at large as well as the nutritional content of household food supplies for colonia residents.
Federal Poverty Level
National School Lunch Program
Saturated Fatty Acid
Supplemental Nutrition Assistance Program
Special Supplemental Nutrition Program for Women, Infants and Children.
Support for this project was provided by the Robert Wood Johnson Foundation Healthy Eating Research Program (#66969), National Institutes of Health (NIH)/National Center on Minority Health and Health Disparities (# 5P20MD002295), Cooperative Agreement #1U48DP001924 from the Centers for Disease Control and Prevention, Prevention Research Centers Program through Core Research Project and Special Interest Project Nutrition and Obesity Policy Research and Evaluation Network, and USDA RIDGE Program, subaward (#018000-321470-02) through Southern Rural Development Center, Mississippi State University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation, NIH, CDC, and USDA-ERS. We would like to thank the promotora-researchers (Maria Davila, Thelma Aguillon, Hilda Maldonado, Maria Garza, and Esther Valdez); the mothers and children who participated in the project; and the data entry team (Jenny Becker Hutchinson, Kelli Gerard, Leslie Puckett, and ShinDuk Lee).
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