Background
Methods
Study design
Registration and protocol
Search strategy
Inclusion criteria
Exclusion criteria
Screening
Data extraction
Results
Overview of studies included
Author (Year) | Location/ Country | Setting | Sample (n) | Study design | Methods | Food Environment Dimensions | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GIS | Store audit/Survey | Dietary questionnaire | Qualitative | Availability | Price | Accessibility | Affordability | Quality | |||||
Alkon et al. [60] | Oakland & Chicago, USA | Urban | N = 27 adults (24 women & 3 men) | Cross-sectional: qualitative (interviews & focus groups) | - | - | - | X | - | - | X | X | - |
Andress & Fitch [61] | Six West Virginia counties, USA | Rural | N = 30 women, aged 21 years or older | Cross-sectional: qualitative (focus groups) | - | - | - | X | X | - | X | - | - |
Bardenhagen et al. [62] | Michigan, USA | Rural | N = 20 food stores (7 small grocers/convenience stores without gas, 6 small or mid-sized grocers with gas, 5 mid-sized independent grocers, & 2 limited assortment/food mart/gas stations) N = 10 store owners, food bank representatives & local stakeholder | Cross-sectional: mixed methods | X | X | - | X | X | - | X | - | - |
Breyer & Voss-Andrea [63] | Portland Oregon, USA | Urban | N = 204 stores (79 grocery stores, 51 chain stores & 74 other stores) | Cross-sectional | X | X | - | - | X | X | - | X | - |
Bridle-Fitzpatrick [64] | Mazatlán, Sinaloa, Mexico | Urban | N = 20 mothers N = 593 food stores | Cross-sectional: mixed methods | X | X | - | X | X | X | - | - | - |
Burns & Inglis [65] | Melbourne, Australia | Urban & Semi-rural | N = 15 supermarkets N = 33 FF restaurants | Cross-sectional | X | - | - | - | - | - | X | - | - |
Cassady et al. [66] | Sacramento & Los Angles, USA | Urban | N = 25 supermarkets | Cross-sectional | - | - | - | - | - | X | - | - | - |
Chen et al. [67] | Franklin county, Ohio, USA | Urban | N = 284 green retailers | Cross-sectional | X | - | - | - | - | - | X | - | - |
Childs & Lewis [68] | Cherry Hill, Baltimore, USA | Urban | N = 15 supermarkets N = 33 FF chain outlets N = 30 community members | Cross-sectional: mixed methods | - | X | - | X | - | - | X | - | - |
de Menezes et al. [69] | Belo Horizonte, Brazil | Urban | N = 336 food stores N = 2944 adults, aged 20 years & older, mean age 56.8 years, 88.4% female | Cross-sectional: mixed methods | - | X | X | X | X | - | X | - | - |
Diehl et al.[70] | Denver, Colorado, USA | Urban | N = 5 neighborhoods N = 69 food stores (10 grocery stores, 27 convenience stores, 11 deep-discount stores, 5 neighborhood markets & 16 neighborhood markets catering to specific ethnic groups) N = 926 participants | Cross-sectional: mixed methods | X | X | - | X | X | - | - | X | - |
Diez et al. [71] | Los Rosales, Madrid, Spain | Urban | N = 114 food stores & one street market N = 12 adults (6 men & 6 women), mean age 58.7 years) | Cross-sectional: mixed methods | X | X | - | X | X | - | X | X | - |
Diez et al. [72] | Villaverde, Madrid, Spain | Urban | N = 24 residents, mean age 51.4 years | Cross-sectional: qualitative (participatory) | - | - | - | X | - | - | X | - | - |
Duran et al. [73] | Sao Paulo, Brazil | Urban | N = 1842 adults aged 20—59 years, mean age 36.5 years, 53% female | Cross-sectional | X | X | X | - | X | X | X | - | X |
Flint et al. [74] | Philadelphia, USA | Urban | N = 1263 adults, mean age 48 years N = 2 neighborhoods | Cross-sectional | - | X | X | - | X | - | - | X | X |
Gao et al.[75] | New York, Baltimore city and county, Forsyth County, St Paul, Illinois and Los Angeles County, USA | Urban | N = 3634 adults, aged 45–84 years, mean age of 60.3 (SD 9.5), 51.3% female | Cohort | X | - | X | - | - | - | - | - | - |
Glickman et al.[76] | Cleveland and Columbus USA | Urban | N = 449 adults (239 in Cleveland & 210 in Columbus) N = 2 neighborhoods considered food deserts | Cross-sectional | - | X | X | - | - | - | X | - | - |
Gravina et al. [77] | Bilbao, Spain | Urban | N = 23 participants N = 3 neighborhoods | Cross-sectional: qualitative (participatory) | - | - | - | X | X | - | - | - | - |
Harbers et al. [78] | Utrecht, Netherlands | Urban | N = 15 participants (5 males & 10 females) aged 33 – 79 years | Cross-sectional: qualitative (interviews) | - | - | - | X | - | - | - | - | - |
Haynes-Maslow et al. [79] | North Carolina, USA | Urban | N = 68 low-income adults, 67.7% Black, 69.1% female | Cross-sectional: qualitative (focus groups) | - | - | - | X | - | - | X | - | - |
Haynes-Maslow et al. [80] | 12 community sites North Carolina counties, USA | Urban | N = 201 adults | Cross-sectional | X | - | - | - | - | - | X | - | X |
Hendrickson et al. [81] | Minnesota, USA | Urban & Rural | N = 23 food stores N = 41 community residents, nutrition professionals & community leaders | Cross-sectional: mixed methods | X | X | - | X | - | - | X | - | - |
Holston et al. [82] | Louisiana, USA | Rural | N = 44 adults (36 women & 8 men) | Cross-sectional: qualitative (focus groups) | - | - | - | X | - | - | X | - | - |
Jiang et al.[83] | Massachusetts, Illinois, Iowa, USA | Urban | N = 142 adults (26 males & 116 females)], mean age 73.9 (SD 9.6) years | Cross-sectional: mixed methods | - | - | - | X | - | - | - | - | - |
Jillcott et al.[84] | Pitt & Greene County, North Carolina, USA | Urban & Rural | N = 23 rural & urban women, aged 23—70 years | Cross-sectional: qualitative (interviews) | - | - | - | X | - | - | X | - | - |
Karpyn et al. [85] | Philadelphia & Trenton, USA | Urban | N = 29 supermarkets N = 31 corner stores N = 796 adults (primary household food shoppers) | Cross-sectional | X | X | X | - | X | X | - | X | - |
Ko et al. [86] | Washington State, USA | Rural | N = 57 food stores N = 69 restaurants N = 32 community residents, mean age 35.6 (SD 6.2) years | Cross-sectional: mixed methods | - | X | - | - | X | - | X | - | - |
LeDoux & Vojnovic [87] | Detroit, Michigan, USA | Urban | N = 258 households | Cross-sectional | X | - | X | - | - | - | X | - | - |
Leonard et al.[88] | Dallas Texas, USA | Urban | N = 298 neighborhood residents | Cross-sectional | - | - | X | - | - | - | X | - | - |
Libman [89] | Brownsville & Upper East side, New York, USA | Urban | N = 22 residents & store workers (12 Brownsville & 10 Upper East side) | Cross-sectional: mixed methods | X | - | X | X | - | - | X | - | - |
MacNell et al.[90] | North Carolina counties, USA | Urban & rural | N = 3 counties N = 42 women N = 28 food stores | Cross-sectional: mixed methods | - | X | - | X | X | X | - | - | - |
Pessoa et al. [91] | Belo Horizonte, Brazil | Urban | N = 5611 adults, aged 18 years and older, mean age 39.7 years, 54.8% female | Cross-sectional | X | - | X | - | X | - | X | - | - |
Rodriguez & Grahame [92] | Pennsylvania, USA | Urban | N = 11 adults (6 women & 5 men) | Ecological study: mixed methods | - | - | X | X | - | - | - | - | - |
Rummo et al.[93] | Four US cities | Urban | N = 3299 adults | Cohort | X | - | X | - | X | - | - | - | - |
Sharkey et al. [94] | Texas Brazos Valley, USA | Rural | N = 1409 adults | Cross-sectional | X | - | X | - | - | - | X | - | - |
Tach & Amorim [95] | Philadelphia, USA | Urban | N = 66 adults N = 3 neighborhoods | Cross-sectional | - | - | - | X | - | - | X | - | - |
Thornton et al. [51] | Melbourne, Australia | Urban | N = 1399 women N = 45 neighborhoods N = 134 food stores | Cross-sectional | - | X | X | - | X | X | - | - | - |
Thornton et al. [96] | Melbourne, Australia | Urban | N = 932 women, mean age 33.3 (SD 7.6) years | Cross-sectional | X | - | X | - | - | - | X | - | - |
Thornton et al. [97] | Victoria, Australia | Urban | N = 4335 women, mean age 34 years | Cross-sectional | X | - | X | - | - | - | X | - | - |
Valdez et al. [98] | Merced County, South Merced and Winton, USA | Rural | N = 79 adults, mean age 41.6 years; 72% female; 79% Latino 53% Spanish-speaking | Cross-sectional: mixed methods | - | X | - | X | X | - | X | - | - |
Vallianatos et al. [99] | 3 Los Angeles Communities, USA | Urban | N = 1023 food outlets N = 10 community members | Cross-sectional: mixed methods | - | X | - | X | X | - | X | X | - |
Walker et al. [100] | Pittsburgh, USA | Urban | N = 25 (men & women) | Cross-sectional: mixed methods | - | - | - | - | X | - | - | - | - |
Wang & Qiu [101] | Edmonton, Canada | Urban | N = 96 supermarkets N = 47 local grocery stores N = 61 community gardens N = 17 farmers’ market N = 247 residential neighborhoods | Cross-sectional | X | - | - | - | - | - | X | - | - |
Waters et al. [102] | Virginia & North Carolina, USA | Rural | N = 813 residents N = 483 food outlets (295 restaurants & 188 stores) | Cross-sectional | X | X | X | - | X | - | - | - | - |
Williams et al. [103] | Australian community, Australia | Urban | N = 355 women, mean age 49.5 (SD 10.89) years | Cross-sectional | - | X | X | - | X | - | X | - | - |
Zenk et al. [104] | Chicago IL, USA | Urban | N = 30 women, aged 21- 45 years | Cross- sectional: qualitative (interviews) | - | - | - | X | X | - | X | - | - |
Zhao et al.[105] | Chicago IL, USA | Urban | N = 228 women, aged 18—44 years | Cross-sectional | - | X | - | - | - | X | X | - | - |
Assessing associations between retail food environment exposures and food choices
Author (Year) | Sample size (n) | Food Environment exposure (GIS Based and/or store audits) | Food choice outcome (Dietary intake) | Results |
---|---|---|---|---|
Diehl et al. [70] Mixed methods | N = 5 neighborhoods N = 69 food stores N = 926 participants classified into three social groups: advantaged, middle, and disadvantaged (low income Black and Hispanic females) | - Food stores were geocoded using ArcMap. Community variables assessed included distance and density - Consumer environment assessed using Healthy Food Basket (15 food items), measured affordability and availability | - Self-reported frequency consumption of FV, SSB, meats, FF & snacks | - Proximity to a grocery store was associated with lower consumption of FV, higher consumption of SSB, and lower consumption of healthy proteins (beans, chicken, and fish) - Higher density of grocery stores was associated with lower consumption FV, higher consumption of SSB, and higher consumption of unhealthy fats. Disadvantaged participants had more food stores and grocery stores within 1 mile - Affordability (price) was not associated with food intake. For the disadvantaged group, average cost of a Staple Food Basket was less expensive at the closest store, but more expensive at the closest grocery store and the preferred store respectively - Increased availability of healthy food items at the closest grocery store was associated with lower consumption of SSB - The disadvantaged group did not have a significantly greater number of available healthy food items at the closest food store or at the preferred store, but they did have fewer available healthy items at the closest grocery store |
de Menezes et al. [69] Mixed methods | N = 2944 adults, aged 20 years & older, mean age 56.8 years N = 336 food stores | - Food and vegetable food store audits - Consumer nutrition environment variables were assessed using the ESAO-S - The ESAO-S healthy food access was summarized by the HFSI | - Questions adapted from international surveillance systems used to assess daily FV consumption | - No associations found between FV intake and local grocery stores food availability, variety, quality, pricing, signage, and promotion - Both HFSI and specialized FV markets were positively associated with F&V intake, but not with FV quality |
Duran et al. [73] | N = 1842 adults aged 20—59 years, mean age 36.5 years | - Community food environment measures included density of and proximity to supermarkets and fresh produce markets - Consumer environment measures included availability, price, quality, and variety of fresh FV and SSB, assessed using the ESAO-S | - Questionnaire- consumption of FV and SSB (≥ 5 days/week) | - Lower income individuals living in neighborhoods with lower density of supermarkets and fresh produce markets had statistically significantly lower FV consumption - FV availability was associated with a 41% increase in the prevalence of regular FV consumption. FV price was not associated with FV consumption - Price, supermarkets and fresh produce markets density or proximity were not associated with SSB consumption |
Flint et al. [74] | N = 1263 adults, mean age 48 years N = 2 neighborhoods Both sites had two grocery stores & 55/56 convenience stores | - Consumer food environment assessed using NEMS | - Block FFQ—measured portions of FV consumed per day | - Consumer food environment measures (availability, price, quality, and marketing) was not associated with and FV consumption, neither in bivariate nor multivariate analyses - Participants who perceived their neighborhood to have more variety and higher quality grocery stores did not have a higher daily FV intake compared to those perceived their neighborhood to have little choice and low quality grocery stores - No difference in intake between participants who perceived neighborhood to have higher choice and higher quality of food available and those who perceived neighborhood to have low quality and little choice |
Gao et al. [75] | N = 3634 adults, aged 45–84 years, mean age 60.3 (SD 9.5), 51.3% females | - GIS measures: 1. GIS-derived distance to the nearest favorable food store, 2. GIS-derived one- mile kernel density of favorable food stores, 3. survey-based measure of perception of healthy food availability, and 4. summary measure combining GIS-derived one-mile kernel density of favorable food stores and survey-based measure of participants’ perception of healthy food availability | - Diet assessed using AHEI Index score | - Higher AHEI score was associated with shorter distance to nearest favorable stores, higher SES neighborhood, better perception of healthy food access, and higher composite score of healthy food environment |
Glickman et al. [76] | N = 449 adults | - Food retail audits- data collected on availability, price and quality of healthful foods - PFRQ score calculated using audit adapted NEM-CS and BTG-COMP | - Three 24-h dietary recalls: Average HEI-2010 score, average SSB intake, and average FV intake | - No associations between PFRQ and HEI-2010 scores for participants who shop further from home - An increase of one unit in PFRQ score was associated with a 14.7-point increase in HEI-2010 score for residents who shopped close to home - No association between PFRQ and FV and SSB consumption. Higher quality proximate food retail was associated with improvements in diet |
Haynes-Maslow et al. [80] | N = 201 adults | - Self-reported FV access was measured using three neighborhood perceived access questions adapted from previous studies - Food outlet density (within 1 mile of participants home) | - FV intake (cups per day) was assessed using the 10-item National Cancer Institute FV screener | - Positive correlation between perceived access to FV variety and of supermarkets within 1 mile of a participant’s home - Positive association between perception based FV access measures and objective measures (food outlet density within 1 mile of participants home) - No association between perception-based measures (convenience, variety, and quality) and FV intake - Association between access to supercenters within a mile of participants' houses and lower self-reported intake of FV - Participant's FV intake decreased by 0.61 cups per day when there were more supermarkets within a mile of their home |
Karpyn et al. [85] | N = 29 supermarkets N = 31 corner stores N = 796 adults | - GIS based measures- supermarkets within a two-mile buffer corner stores within both three-square-mile study areas - Nutrition environments in supermarkets and cornerstores using NEMS-S and NEMS-CS tools. Both types of retail outlets were scored on availability, price, and quality of both healthier and less-healthy food items | - 24-h dietary recall: HEI score and fruit consumption subscore, and vegetable consumption subscore) | - Store quality and perceived neighborhood food availability was positively related to vegetable consumption sub scores |
Leonard et al. [88] | N = 298 neighborhood residents | - Access to food sources calculated in ArcMap using straight-line distances between the respondent’s address and the location of food sources | - Neighborhood (Perceived Good Access) and the number of meals prepared at home in a typical week | - Residents living closer to fresh food sources consumed more FV, while those living closer to FF restaurants consumed less FV |
LeDoux & Vojnovic [87] | N = 258 households | - ESRI Network Analyst in ArcMap 10.1 used to measure accessibility. Distance from resident’s house to nearest store category | - Respondents were asked to recall separately their typical daily, weekly, and monthly servings of soda, fruit juice, sweets, salty snacks, FV | - Closer proximity (quarter mile = 402 m) to a supermarket was associated with increased intake of both healthy and unhealthy food groups - Short and medium (half mile) proximity to FF outlets was associated with lower FV consumption - Lower FV consumption when there are more FF outlets within a quarter and half-mile (402 and 805 m), respectively |
Pessoa et al. [91] | N = 5611 adults, aged 18 years and older, mean age 39.7 years | - Density of supermarkets and hypermarkets, density of mini markets, grocery stores and warehouses, density of healthy food outlets (stores and open-air markets specialized in selling FV), density of restaurants and density of unhealthy food outlets (bars, snack bar and food trucks/trailers) | - Questions were used to estimate the daily frequency of fruit intake. FV intake score | - High income neighborhood and higher density of healthy food outlets associated with higher FV intake scores - High density of unhealthy food outlets was associated with lower FV intake score |
Rummo et al. [93] | N = 3299 adults | - GIS used to capture all food outlets within a 5-mile radius of each participant - Availability of food stores: calculated the count of each type of food resource within a 3 km distance along the street network around participant homes | - Questionnaire used to calculate Priori diet quality score - Food groups: fruits vegetables, whole grains, processed meats, snacks, desserts, SSBs and Artificially sweetened beverages (ASBs) | - For participants with lower individual-level income, the availability of neighborhood convenience stores was associated with lower diet quality - The percentage of neighborhood convenience stores relative to total food stores and restaurants was negatively associated with whole grain consumption; these associations were stronger at lower (vs higher) individual-level income - No associations between FV and processed meat consumption and community nutrition measures - Consumption of SSBs and ASBs and number of SSBs and ASBs consumed were not associated with neighborhood convenience stores' availability |
Sharkey et al. [94] | N = 1409 adults | - Two measures of potential spatial access: proximity (distance to the nearest location) and coverage (number of traditional FF restaurants, non-traditional FF outlets, and all FF opportunities from each respondent’s residence within 1, 3 or 5 miles). All participants were geocoded to their residence | - Questionnaire—Weekly consumption of FF meals | - FF meals were consumed less frequently when proximity from a FF restaurant, non-traditional FF outlet, or all FF outlets was greater - Closer distance and greater coverage were associated with more frequent consumption of FF meals by women than men |
Thornton et al. [51] | N = 1399 women N = 45 neighborhoods N = 134 food stores | - Community nutrition environment: locations of greengrocers, major supermarkets, and FF restaurants in and immediately surrounding the neighborhoods - GIS was used for geocoding of participants and food stores. Proximity- distance between each participant’s household location and the nearest store of each type (greengrocer, supermarket, FF restaurant). Density-count of each store type within 3 km of road network distance from each participant’s household. Opening hours measures were calculated for each store type - Consumer nutrition environment: store audits on the availability and price of 15 commonly consumed fruits and 23 vegetables in 134 stores, identified as being within the boundaries of the 45 neighborhoods | - Questionnaire—FV and FF consumption | - FV prices were lower in greengrocers in highly disadvantaged neighborhoods, but operating hours and availability were more restricted compared to other neighborhoods - Residents in high-disadvantaged neighborhoods were more likely to live further from a FF restaurant and have lower density and variety of chains than those in low-disadvantaged neighborhoods - Fruit consumption was not associated with neighborhood-level disadvantage - Participants in high disadvantaged neighborhoods were significantly less likely to consume two or more servings of vegetables per day - A greater density of greengrocers and supermarkets in the neighbourhoods of frequent vegetable consumers, as well as a greater variety of vegetables in greengrocers, were factors contributing to their frequent consumption of vegetables - Prices in both greengrocers and supermarkets were positively associated with consumption of FV |
Thornton et al. [96] | N = 932 women, mean age 33.3 (SD 7.6) years | - GIS—count of FF restaurants within a 3 km road distance | - Two questions on FF consumption | - Women with moderate or low confidence in shopping for healthy food had significantly lower odds of rarely consuming FF in comparison with women with the highest confidence - Women who live more than 1.6 km from their nearest supermarket are significantly less likely to consume FF infrequently compared to women living within 0.8 km from their nearest supermarket |
Thornton et al. [97] | N = 4335 women, mean age 34 years | - Geocoding household addresses of participants. ArcGIS 9. 3, used to identify and calculate the number of chain supermarkets and greengrocers within a 2 km road network distance from each individual’s household location | - Self-reported FV consumption (servings per day) | - Store access within 2 km may moderate the association between vegetable consumption and cooking confidence, though evidence is weak (P = 0.062) |
Waters et al. [102] | N = 813 residents N = 483 food outlets (295 restaurants & 188 stores) | - Availability of healthy food in food outlets was assessed by the NEMS-S and NEMS-R. Data from store audits used to calculate a healthy food availability score - All food outlets were geocoded and mapped in ArcGIS 10.0 to determine proximal food environment to food outlets | - Self-reported FV intake (cups/day) was assessed using the National Cancer Institute’s FV short screener | -No association between FV intake and healthy food availability in food outlets |
Williams et al. [103] | N = 355 women, mean age 49.5 (SD 10.89) years | - Supermarkets and FV store’s locations and participants addresses were geocoded in the GIS ArcView 3.3 | - Two questions on FV consumption (servings/day) | - High fruit consumers were mainly women of older age, dieting to lose weight, preferred fruit, and perceived that more healthy food options were available, and that fruit cost less |
Zhao et al. [105] | N = 228 women, aged 18—44 years | - Consumer food environment aspects price, availability, marketing, and product placement assessed using an instrument combining the NEMS and the Bridging the Gap Food Store Observation Form, audits. The NEMS-P was used to assess participants’ perceptions of the consumer food environment | - Self-reported FV consumption (cups/day) using 6 item FFQ | - In the multivariable regression analyses no significant association between any measure of the consumer food environment (price, availability, marketing, and product placement) and fruit intake was found - Vegetable intake was associated only with marketing in the consumer food environment. Greater Healthy food marketing exposure was associated with approximately 0.24 cups increase in vegetables consumed per day by participants |
Community food environment and consumption of healthy and unhealthy foods
Community food environment and overall diet quality
Consumer food environment and consumption of healthy and unhealthy foods
Barriers and facilitators for access to healthy food in resource-poor communities
Qualitative studies
Author (Year) | Themes | Barriers & Supporting quote or data | Facilitators & Supporting quote or data |
---|---|---|---|
Alkon et al. [60] | 1. How do people think about food access? | - Neighborhood’s underdevelopment - Lack of control over the food stores in neighborhoods - Lack of fresh food in their neighborhoods - Price is the primary barrier to food access | N/A |
Andress & Fitch [61] | 1. Structure of place, external food environment | - Geography of place created barriers getting to and from grocery stores and other sources of food - Lack of car ownership and no public transportation | N/A |
Bardenhagen et al. [62] Mixed methods | 1. Transportation challenges 2. Cost of healthy eating | - Distance and cost are a large barrier to accessing healthy foods - Transportation is one of the largest barriers to accessing healthy food - Higher cost of healthy foods - High food prices may hinder the use of farmers markets “Everything is more expensive here. It’s very much a third-world mentality.” | - Interest in locally grown food “More and more people in the region want to know where their food supply is coming from, but low-income people can’t always pay the price” |
Diez et al. [71] Mixed methods | 1. Community food environment 2. Consumer food environment | Community food environment - Accessibility-related aspects (‘poor access built environment obstacles’) - Unhealthy foods within food stores, bars and restaurants perceived to negatively influence diets Consumer food environment - Unhealthy food presence - Cost barriers “It’s the same thing with the organic food shops, they sell very healthy products, but they are quite expensive … quite expensive. Very healthy, but not affordable.” | Community food environment - Small, specialized stores offered a wide variety of healthy foods “Neighborhood food stores have lots of fruits and vegetables.” Consumer food environment - Availability of organic and dietetic food products |
Diez et al. [72] | 1. Food stores | N/A | - Small traditional food stores “We have to protect these stores against other retail types such as supermarkets or street markets, especially in terms of places where you can by fresh food.” - Presence of street markets offering a wide variety of affordable fresh foods |
Gravina et al. [77] | 1. Unhealthy eating behaviors 2. Retail transformation 3. Healthy eating | Unhealthy eating behaviors - Presence and affordability of FF and sugary food “Fast food is not hygienic and healthy, but it is often cheaper and easier to get or consume.” Retail transformation - Greater amount of convenience stores | Healthy eating - High quality of the foods offered by merchants in neighborhood |
Haynes-Maslow et al. [79] | 1. Community-level barriers | - Cost barrier to purchasing fresh FV “What we need to eat — and what we want to eat — the price is a big part of it. When you have lower-income families, they usually don’t introduce fruit and vegetables into their children’s body because it costs so much. So, if there were... if there was a price where everybody could afford it, then everybody could have it.” - Transport was a barrier to purchasing FV, especially for the elderly or those who did not own a vehicle - Lack of quality FV in the community “I tell them, “Look, these apples are rotten.” They’re pretty on the outside, but they’re rotten. So, they gave me another one... that was rotten, as well.” - Lack of variety of FV in grocery stores in the community “You can get vegetables but not the variety of vegetables that you might want.” - Changing food environment – Farm markets and roadside stands declined, and FF restaurants in the community increased “He had an old truck and he sold vegetables out of his truck... for me, I don’t see him no more... but that would be nice if we had somebody who would come around with vegetables.” | N/A |
Harbers et al. [78] | 1. Environmental Determinants of Food Choice | - Increasing prices of fresh FV “But if I see that snacks are cheap, and that fresh food is only getting more expensive... And if you only receive social assistance benefits. That is just undoable.” - Marketing strategies and food product placement in the supermarket perceived as tempting and encouraged unhealthy food purchases “They should put this on more products. So, if you are in front of the crisps shelf, you can think, well, I can take Lays because that is easy. But that then you have an alternative next to it, from which you can see, well, it does actually provide less calories and it is just as tasty.” | N/A |
Hendrickson et al. [81] Mixed methods | N/A | - Lack of transportation - Lower quality and higher food prices in urban community - Distance and cost to go to stores for rural residents Rural residents, 85–90% drive to food stores Urban residents, 40–60% walk and 15–30% take the bus - Healthy food choices not affordable within communities and participants believed that people in their community were food insecure | N/A |
Holston et al. [82] Mixed methods | 1. Store Choice: 1.1 Outshopping Convenience Stores/Dollar Stores | - Participants perceived cost as a barrier to providing healthy foods for their families Convenience Stores/Dollar Stores - No participants viewed convenience stores as a viable option for acquiring food | - Outshopping- having to leave the parish to find lower prices and better quality - Ways of Acquiring Food All focus groups reported using a variety of built, cultivated, and wild environments to acquire food - Facilitators other than the grocery store - Gardening - Fishing and hunting |
Jiang et al. [83] Mixed methods | N/A | N/A | - The key factors to contributing to consumption of FV were accessibility and affordability, while living accommodations were least important factor - Lower FV prices In addition to lowering FV prices, participants suggested stores have more sales or discounts on FV and donate fruit and vegetables to seniors. Participants suggested that food stores should “have a clearance section,” “lower prices or (have) more sales on fruits and vegetables,” and “sell fruits and vegetables that are less satisfying in quality cheaper.” - Sales and discounts on FV - In store marketing strategies Participants recommended stores improve the presentation and placement of FV. Participants suggested that food stores “keep them [fruit and vegetables] close to the door” and “display them nicely so [customers] want to buy them.” “Farmer’s markets should open for longer time through the season.” |
Jillcott et al. [84] | 1. Farmers market 2. Supermarkets 3. Discount supercenters | - Farmers market is far away from residence and transportation is needed to access them. Fresh food markets need to be closer to residence | - Supermarkets-high quality meats, lower food costs, convenient locations - Discount supercenters – offered lower food prices |
Ko et al. [86] Mixed methods | 1. Perceived accessibility of fresh produce 2. Food store preference | - Perceived accessibility of fresh produce accessibility was dependent on farming seasons which impacts seasonal prices | - Large grocery stores chosen based on food quality, price, and nearest location to their home |
Libman [89] Mixed methods | N/A | - Lack of food availability in the neighborhood, means residents have to go outside neighborhood to get affordable healthy foods - Greater presence of convenience stores & FF in low-income communities compared to higher income communities | N/A |
MacNell et al. [90] Mixed methods | 1. Food prices 2. Freshness and variety 3. Access to transportation | - Lack of transportation | - Lower prices - Freshness and variety |
Rodriguez & Grahame [92] Mixed methods | 1. Cost 2. Transportation 3. Access to services 4. Education and information | - Cost: primary factor in food choice. Proximity to stores also complicated the cost of food, more affordable stores were further away from the community - Transportation: lack of public transportation or personal vehicle, difficult terrain to walk, physical disability and transportation costs - Access to services: Lack of access to services such as WIC, food pantry or DPW affects food access - Education and information: no internet access meant inability to retrieve money-saving coupons, recipes, or information regarding health concerns. Lack of information available about where they could use food stamps or access fresh food | N/A |
Tach & Amorim [95] | 1. Grocery Shopping: Choice within Constraint 2. Alternative Food Acquisition Strategies | - Economic Constraint: High food cost - Geographic Constraint: Distance affected accessible stores especially for residents without cars - Alternative Food Acquisition Strategies: Corner stores with high prices and low quality foods. No presence of farmers markets - Opening of high-quality stores in neighborhoods – participants perceived these as overpriced | - Economic Constraint: Participant using strategies such as buying from multiple stores, buying in bulk, or buying store brands - Geographic Constraint: Car owners can travel further to stores that are cheaper or offer higher-quality products - Charitable Donations: charitable food sources including nonprofit food pantries and programs and food distribution events at nearby churches, schools, and public housing projects |
Valdez et al. [98] Mixed methods | 1. Access to FV 2. Affordability of FV | - Affordability of FV: most (65%) reported that “healthy food options like FV are too expensive in retail stores “It would be nice to be able to have a store that you can actually afford to go to...even the dollar store isn’t the dollar store anymore.” | - Living in an agricultural setting with access to farmers and workers and mobile fruit vendors Survey respondents agreed with the statement “A large selection of fruits and vegetables is available in my neighborhood” and “The fruits and vegetables in my neighborhood are of high quality.” “You can buy vegetables all over the place.” - FV stands and flea markets, as opposed to retail stores, were good sources for cheap produce |
Walker et al. [100] Mixed methods | N/A | - Neighborhood store closure in food oasis “The bad economy leads to poor neighborhoods and store closings. Poor neighborhoods end up losing the stores and now we need more neighborhood stores.” - Food desserts: In food desserts, food was perceived as necessary for survival however macro-level factors influencing food purchasing “Eating junk food is what I can afford.” “Corporate taking advantage of the consumer (by offering smaller food quantities for more money)” | - Food oasis participants had access to organic foods, resources such as Catholic Charity, Salvation Army, senior coupons for farmer’s market, SNAP and WIC vouchers “Organic food stores have decent prices and good quality.” “Shopping frequently for fresh produce.” |
Zenk et al. [104] | 1. Material 2. Economic | - Material barriers: lack of a full-service supermarket in the neighborhood. Lack of store maintenance was associated with poor quality food. Neighborhood stores had low stock and variety of some foods (including fresh produce) and foods were of a poor quality. According to women, stores had expired canned and packaged foods, wilted fresh FV, and moldy spoiled meats - Economic barriers: high food prices at both small local stores and supermarkets | N/A |
Quantitative studies
Author (Year) | Food Environment exposure (GIS Based and/or store audits) | Results | Barriers & Supporting quote | Facilitators & Supporting quote |
---|---|---|---|---|
Breyer & Voss-Andrea [63] | - Healthful foods market basket survey biased on USDA Thrifty plan - Affordability index | - Store distance increases nonlinearly as affordability index declines, showing a negative correlation between affordability index and proximity to the nearest affordable store - On average, 1.6 miles (2.9 km) travel distance between a low-cost store and nearest grocery store; 65% of participants lived in either extreme or moderate food mirages | - High food prices - Proximity | N/A |
Bridle-Fitzpatrick [64] Mixed methods | - Global positioning system (GPS) used to map food outlets in neighborhoods - Price index | - More unhealthy food stores in low- and middle-income communities compared to the high- income community - Greater exposure and access to fresh FV, SSBs and obesogenic snacks in low- and middle-income communities compared to the high-income community - Lowest-income community had the second highest prices for FV, eggs and dairy, and grains and other basic staples - Packaged snacks and SSBs prices were lowest in the lowest-income community - Photos used by participants to describe the food environment showed a high presence of SSBs and packaged snacks in their communities. Participants also stated that these unhealthy foods drew their attention | - High food prices - Displays and promotions for packaged snacks and soft drinks The racks of sweet and salty snacks “called my attention” or “were most visible.” The store “has almost nothing of healthy food.” | - Public market Regarding the public market “because it is cheaper…. You can get a little bit of different vegetables for a low price.” |
Burns & Inglis [65] | - GIS modelling used to measure access to supermarket and FF and transport networks | -—More advantaged areas had closer access to supermarkets, less advantaged areas had closer access to FF outlets | - No car access | - Car access |
Cassady et al. [66] | - Thrifty food plan market basket - 2005 Dietary guidelines market basket | - Both cities had significantly lower average total prices for thrifty food plan baskets of FV compared to retailers in middle- and high-income neighborhoods - Stores located in very low income neighborhoods and low income neighborhoods had similar FV prices. Low-income households would have to allocate 70% of their food budget to FV to meet the 2005 dietary guidelines | N/A | - Price |
Chen et al.[67] | 1. Spatial food access 2. Temporal food access 3. Spatiotemporal food access | - Lower SES neighborhoods have better spatial access but poorer temporal access than higher SES neighborhoods - Disadvantaged tracts have slightly more spatiotemporal advantage in food access | - Limited temporal access i.e., shorter healthful store operating hours | N/A |
Childs & Lewis [68] Mixed methods | - Number of food stores available within an eight kilometer radius of neighborhood and store survey | - The least readily available food type in the survey was fresh fruit and vegetable - The most readily available foods were processed and canned foods: protein; non-dessert dairy; canned/frozen vegetables; grains and bread; and canned/frozen fruits - In Cherry Hill, 73% of respondents perceived FF to be more readily available than fresh foods - 50% of respondents said that a grocery store in the neighborhood would improve food access in the community - Travel time to the supermarket for most participants was 6–15 min; for some it was 30 min | - Lack of financial resources - Lack of stores carrying nutritionally appropriate food - Limited mobility due to the physical and built environment-long distance to travel to stores - Neighborhood crime - Time of individuals | Vehicle ownership “When grocery stores open here, they are overpriced and never stocked with anything of value.” “They could improve in having meat, fruits and vegetables that aren’t spoiled.” “To open up a store that will be well stocked with quality food, healthy food and value conscious.” |
Vallianatos et al. [99] Mixed methods | - GIS mapping number the type of retail food outlets - Thrifty food plan- assessing availability and affordability of healthful foods | N/A | - Food is perceived to be expensive - Far distance to nearest supermarket means residence spend a lot of money on transport and gasoline (for car owners) and this causes reliance on convenience stores or other small stores near their homes - Violent crime makes it difficult for residents to shop after dark - FF can be easily purchased in the neighborhoods and outside school grounds | N/A |
Wang & Qiu [101] | N/A | - Negative relationship between private vehicle access and number of food stores - Neighborhoods with a higher unemployment rate and residents who walk primarily to stores had a 0.42 and 0.14 likelihood of more super-markets and local grocery stores, respectively, | N/A | - Disadvantaged groups had higher access to fresh food sources - Public transport use |