Skip to main content
Erschienen in: BMC Public Health 1/2023

Open Access 01.12.2023 | Research

Adult food choices in association with the local retail food environment and food access in resource-poor communities: a scoping review

verfasst von: Samukelisiwe S. Madlala, Jillian Hill, Ernesta Kunneke, Tatum Lopes, Mieke Faber

Erschienen in: BMC Public Health | Ausgabe 1/2023

Abstract

Background

There is a growing body of research on local retail food environments globally in both urban and rural settings. Despite this, little research has been conducted on adult food choices, local retail environments, and healthy food access in resource-poor communities. The purpose of this study is therefore to provide an overview of the evidence on adult food choices (measured as dietary intake) in association with the local retail food environment and food access in resource-poor communities (defined as low-income communities and/or households).

Methods

We searched nine databases for studies published from July 2005 to March 2022 and identified 2426 records in the primary and updated search. Observational studies, empirical and theoretical studies, focused on adults ≤ 65 years, published in English peer-reviewed journals, examining local retail food environments and food access, were included. Two independent reviewers screened identified articles using the selection criteria and data extraction form. Study characteristics and findings were summarized for all studies and relevant themes summarized for qualitative and mixed methods studies.

Results

A total of 47 studies were included in this review. Most studies were cross sectional (93.6%) and conducted in the United States of America (70%). Nineteen (40.4%) studies assessed the association between food choice outcomes and local retail food environment exposures, and evidence on these associations are inconclusive. Associations of certain food choice outcomes with healthy food retail environments were positive for healthy foods (in 11 studies) and unhealthy foods (in 3 studies). Associations of certain food choice outcomes with unhealthy retail food environment exposures were positive for unhealthy foods in 1 study and negative for healthy foods in 3 studies. In 9 studies, some of the food choice outcomes were not associated with retail food environment exposures. A healthy food store type and lower food prices were found to be major facilitators for healthy food access in resource-poor communities, while cost and transportation were the main barriers.

Conclusions

More research is needed on the local retail food environment in communities in low- and middle-income countries to develop better interventions to improve food choices and access to healthy foods in resource-poor communities.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12889-023-15996-y.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AHEI
Alternative healthy eating index
ASB
Artificially sweetened beverages
BTG-COMP
Bridging the gap community obesity measures
ESAO-S
Obesogenic environment study food store observation tool
FF
Fast food
FFQ
Food frequency questionnaire
FV
Fruits and vegetables
GIS
Geographic information system
HEI
Healthy eating index
HFSI
Healthy food store index
NEMS
Nutrition environment measures survey
NEMS-C
Nutrition environment measures survey corner store
NEMS-P
Perceived nutrition environment survey
NEMS-R
Nutrition environment measures survey restaurant
PCC
Population, concept and context
PRISMA-ScR
Preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews
SEP
Socioeconomic position
SES
Socioeconomic status
SNAP
Supplemental nutrition assistance program
SSB
Sugar-sweetened beverages
SES
Socioeconomic status
TIABs
Titles and abstracts
WIC
Women, infants, and children

Background

Globally, poor diet is a primary risk factor for death and disability [1] and is responsible for various types of malnutrition [2]. In 2016, > 1.9 billion adults (39%) worldwide were overweight and of these 650 million (13%) were obese [3]. On the other side of the spectrum, an estimated 768 million people (10%) worldwide were undernourished and 928 million people (12%) were severely food insecure in 2020 [4]. Poor food systems and unhealthy food environments contribute to the high global prevalence of poor nutritional status [2].
Food choices are influenced by the various physical, economic, political and socio-cultural environments in which people live [5, 6]. The collective of these environments are referred to as the food environment, which reflects the context in which people acquire, prepare and consume foods [5, 7]. According to Glanz and colleagues, local food environments can be categorized into the community nutrition environment, consumer nutrition environment, and organizational nutrition environment [8]. The community nutrition environment refers to number, type, location and accessibility to food stores in a community. The consumer nutrition environment refers to the availability of healthy food choices, price, promotion, quality and placement of food items [8]. The community and consumer nutrition environments combined are referred to as the retail food environment [9]. The retail food environment can therefore be described as accessibility to local food stores and markets, and the availability and affordability of healthy foods in these stores and markets [8].
The five dimensions of the food environment, also known as the dimensions of food access include availability, accessibility, affordability, acceptability and accommodation [10]. In the context of the food environment, availability refers to the density (presence) of different types of food stores within a specific area such as census tracts or buffer zones [10, 11]. Accessibility refers to (i) geographic location of the food stores, defined as proximity which can be measured as travel time and distance to stores [10, 11], and (ii) diversity or variety of different types of food stores, such as supermarkets and fast food (FF) restaurants [12]. Affordability refers to purchasing power and food prices, measured by store audits or price indices [10]. Acceptability refers to people's attitudes on the characteristics of their local food environment, it can be measured as people’s perception on quality of foods sold or as store audit food quality score [10]. Accommodation refers to how well the local retail food environment caters to residents' needs such as store operating hours and types of payment options offered to customers [10]. Perceptions on availability, accessibility affordability, acceptability and accommodation in the local retail food environment can also be measured [13].
Food choice is defined as the processes by which people consider, acquire, prepare, store, distribute, and consume foods and beverages [14]. Food choice is determined by individual and social factors, as well as physical and macro-level environments such as the food system [15]. Changes in the food environment due to changes in food supply and demand affect individuals’ food choices [16]. Food environments therefore affect diet quality and dietary habits, and ultimately impact diet-related health outcomes [1719]. In their review paper, Story and colleagues’ reported that healthy retail food environments have been shown to be characterized by access to food stores such as supermarkets, grocery stores and farmers markets, and limited presence of FF restaurants in a community, and the availability of healthy affordable food products within stores [20]. A healthy food environment can lead to improved access to fruits and vegetables (FV), greater dietary diversity [21], and provision of healthier options of pre-packaged foods, prepared and readymade meals in different types of retail food stores [22].
The FAO defines food deserts as geographic areas where grocery stores, farmers markets and other healthy food providers are not located within a reasonable travelling distance of residents, restricting their access to healthy food [5]. Canadian studies described food swamps as geographic areas with access to retailers with healthy food options but also a large number of convenience stores, FF outlets and other outlets that sell predominantly unhealthy foods and beverages [23]. Access to healthy food is therefore restricted in food deserts, while unhealthy food is more readily available in food swamps. Food deserts or food swamps are most likely to occur in resource-poor areas [12, 23, 24]. In the United States of America (USA), a study on FF restaurants and convenience stores within close proximity to schools showed that that convenience stores and FF restaurants are most likely to be located in lower-income neighborhoods, and that convenience stores generally stock limited variety of foods, have high prices and stock foods of a lower quality [25]. Studies have shown that living in close proximity to FF restaurants [24] and greater access to convenience stores in comparison to supermarkets may reflect an unhealthy food environment [26].
Residing in a food desert has been associated with inadequate diets [27] and increased risk of obesity [28]. Resource-poor communities often lack access to healthy food such as fresh FV [2931], and are more susceptible to poor nutrition and diet-related diseases because of their lack of access to healthy and affordable foods [32]. It has been reported that neighborhood deprivation is associated with inadequate dietary patterns [33], and that people with low socioeconomic status (SES) have low quality diets as they consume more energy-dense and nutrient-poor foods [32]. For the purposes of this scoping review the terms community and neighborhoods are used interchangeably.
Research on the food environment is rapidly growing and several systematic reviews on different aspects of the food environment have been published. To date, systematic reviews focused mostly on the relationship of the local food environment with dietary outcomes and nutritional status [10, 3438], childhood overweight and obesity [26, 3943], FF access in food environments [44, 45], food purchasing and food environment [46], community and consumer food environment and children’s diet [4749], and the food environment in low- and middle-income countries [35, 50]. Despite the growing body of research, there is limited synthesis on the characteristics of the food environment that relate to food choices per se, particularly for adults residing in resource-poor communities [51, 52].
There is a greater need to understand the relationship between food environments and diets as government and policy makers are seeking interventions to combat the rise of obesity globally [6, 52]. Therefore, the aim of the scoping review is to provide an overview of the evidence on adult food choices in association with the local retail food environment and food access in resource-poor communities. The objectives of the scoping review are to 1) assess whether adult food choices are associated with the local retail food environment in resource-poor communities; and 2) determine the barriers and facilitators for healthy food access within the local retail food environment in resource-poor communities. Food choice in the context of this scoping review refers to dietary and food intake and pertains to diet scores, diet quality, FV intake, food group intake, salty, fatty, and sugary foods and SSB intake. We defined resource-poor communities as low-income communities/neighborhoods, disadvantaged communities/neighborhoods, and/or low-income/low socioeconomic position (SEP) households/individuals.

Methods

Study design

A scoping review of the literature on adult food choices in association with the local retail food environment and food access in resource-poor communities was conducted, following the scoping review framework outlined by Arksey and O’Malley [53]. A scoping review was conducted to scope the body of literature and to identify knowledge gaps on the topic. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews (PRISMA-ScR) [54] was used to guide the review process (see Additional file 1).

Registration and protocol

The protocol for this scoping review was registered on the Open Science Framework on 9 September 2020 (https://​osf.​io/​shf93), and is available online [55].

Search strategy

The population, concept and context (PCC) framework was applied to inform the search strategy [56]. A systematic literature search of eight multidisciplinary databases and a research platform namely, PubMed/MEDLINE, CINAHL, Green FILE, PsycARTICLES, Social Science Research Network, Scopus, Science Direct, Web of Science and EBSCOhost was performed. Search keywords or medical subject headings (MeSH) were used. Details on the keywords and Mesh terms are described in the protocol [55]. The Boolean (AND, OR) method was used to combine search terms. The original search strategy was developed in PubMed/Medline and was adapted to the other databases (detailed search strategies are listed in Additional file 2). The main concepts searched were based on diet/food choice AND adult AND local retail food environment OR community OR consumer food environments AND resource poor AND food access AND store type. Date restrictions in the original search were set between 2005 and January 2021. The search was updated to include studies published between February 2021 and March 2022.

Inclusion criteria

This review included observational studies (cohort, cross-sectional, case–control and ecological studies) examining the association between adult food choices (outcome) and the local retail food environment and food access (exposures) in resource-poor communities, empirical and theoretical studies, studies including adults 18 – 65 years old, studies on the retail food environment, which includes the community and the consumer food environment, studies on food access, food choices and diets of adults in resource-poor communities and English peer-reviewed journal articles from July 2005 to March 2022 [55].

Exclusion criteria

Excluded studies were experimental studies (randomized control trials), systematic reviews, and meta-analysis, research not reported in peer-reviewed journals, studies examining the organizational food environment (home, school, and work) and information environment (television advertising), studies on children, pregnant women, and the elderly, studies that only focus on the food environment and nutritional status, studies focusing on indirect measures of diet, such as food purchasing or the number of food store visits, research papers not written in English, and papers published before July 2005 [55]. After conducting the pilot study ‘Other’ and ‘National study’ were added as the eighth and nineth exclusion reason. ‘Other’ refers to papers that were irrelevant to the study but could not be classified under any of the listed exclusion criteria. ‘National study’ refers to studies for which results were reported at national level, with no distinction between groups or settings of different socio-economic status. After conducting the first round of full text article screening two more exclusion reasons were added: not reporting association between adult food choices and local retail food environment, and not reporting barriers and facilitators for healthy food access in resource-poor communities.

Screening

The primary database search was done for studies published between July 2005 and January 2021, which was updated through a second search to include studies published from February 2021 to March 2022 (see Fig. 1). Studies identified were exported to EndNoteX9 library, and duplicates were identified and removed. The primary database search identified 2132 studies, and after duplicates were removed 1583 records remained. Two reviewers (SSM and TL) independently screened the title and abstracts (TIABS). Of the 1583 TIABS screened, 165 were identified as eligible for full-text screening. The two reviewers independently read the full-text articles to determine whether they meet the eligibility criteria. Full-text screening for the primary database search was done in two rounds. In the first round of full-text screening, 165 articles were screened and 121 articles were deemed eligible. In the second round of screening, 121 articles were screened and 42 articles primary database search articles were eligible for inclusion in the scoping review. In the updated database search, 294 records were identified. After removing duplicates, 237 TIABS were screened. After screening TIABS, 10 articles were eligible for full-text screening. After full-text screening of the updated search results, five studies were deemed eligible for inclusion. Therefore, a total of 47 studies (42 articles from the primary search and five from the updated search) were included. Both TIABs and full-text article screening were performed on the Rayyan Qatar Computing Research Institute (QCRI) systematic reviews web application [57].

Data extraction

A data collection form based on the framework of Arksey and O’Malley [53] was used to obtain the following information from each study: name of authors, title, year of publication, aim/objective of the study, study area, study setting, study participants, sampling method, study design, data collection, measurement tools, data analysis, reported outcomes, most relevant findings, facilitators and barriers (see Additional file 3). The data extraction form was piloted on a sub-sample of 17 articles to ensure the form captures relevant data and ensures consistency between reviewers. The data extraction form was revised to improve capturing of study methods employed in the research. Interrater agreement was high (78%). The percent agreement for two raters was calculated as the number of agreements (full text articles included and excluded by both raters) divided by the sum of the number of agreements and the number of disagreements (conflicts) multiplied by 100 [58]. The calculation was as follows: 137 / (137 + 38) × 100 = 78. Disagreements were resolved through discussion between the two reviewers.
Study characteristics and findings were summarized for all studies, and relevant themes summarized for qualitative and mixed methods studies [53, 59]. We synthesized identified studies by dividing them into two groups 1) studies on the association between food choice and the local retail environment; and 2) studies reporting barrier and facilitators to healthy food access. Barriers and facilitators were further categorized by study design into quantitative, mixed method, and qualitative studies. Qualitative studies and mixed methods reporting relevant qualitative data were grouped together in tables. Quantitative data from mixed method studies were grouped in tables with quantitative data from non-mixed method studies.

Results

Overview of studies included

Forty-seven articles, published between 2006 and 2021, were eligible for inclusion in this review (see Table 1). Most (93.6%) of the studies were cross-sectional in design, except for two cohort studies and one ecological study. To examine the associations between local retail food environment and food choice and to describe barriers and facilitators to healthy food access in the local retail food environment, 23 studies used quantitative methods, nine used qualitative methods, and 15 used mixed methods. Approximately 70% (n = 33) of studies were conducted in the USA, five in Australia, three in Brazil, three in Spain, one in Mexico, one in Netherlands and one in Canada (see Fig. 2). In total, 76.6% (n = 36) of the studies were conducted in urban settings and 14.9% (n = 7) in rural settings. The age of the participants in the studies ranged from 18 to 84 years. Studies were included if the mean age of participants was within the study inclusion criteria. Terms used to describe resource-poor communities included low income, disadvantaged neighborhoods, and low SEP.
Table 1
Characteristics of included studies (n = 47)
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
-
-
FF Fast food
GIS Geographic information system

Assessing associations between retail food environment exposures and food choices

Table 2 shows the studies that assessed the association between the local retail food environment and food choice using Geographic Information Systems (GIS)-based measures and store audits/surveys. Of the 19 studies that were included, six examined both the community and consumer food environment [51, 70, 73, 76, 85, 102], ten assessed only the community food environment [75, 80, 87, 88, 91, 93, 94, 96, 97, 103] and three assessed only the consumer food environment [69, 74, 105]. Local retail food environment exposures included availability (n = 8), accessibility (n = 13), perceived access (n = 2), healthy food availability (n = 8), perceived healthy food availability (n = 2), perceived consumer food environment (n = 1), perceived quality (n = 1), price (n = 6), quality (n = 6), variety (n = 2), in-store marketing (n = 6) and product placement (n = 6). Thirteen studies used GIS-based measures to describe the local retail food environment and geocode study participants’ homes and/or store types /outlets. The most used GIS-based measure was accessibility, which was measured as road network distances, Euclidean distances, straight line distance, travel times or spatial interaction models. The second most used GIS-based measure was availability which was measured as presence, ratio, variety, counts (within buffers) or relative density or probability density or kernel density of food stores. Some studies used GIS-based measures along with retrieving registered food store information using business directories and government databases. The use of GIS-based methods to analyze the availability and accessibility of food stores has been discussed in previous reviews [10, 11]. Only one study used global positioning system (GPS) to assess the community food environment [64].
Table 2
Studies assessing the association between the local retail food environment and food choice in studies using GIS-based measures and store audits/surveys
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
ASB Artificially sweetened beverages (fruit drinks, soft drinks, and water)
AHEI Alternative healthy eating index
BTG-COMP Bridging the gap community obesity measures
ESAO-Ss Obesogenic environment study food store observation tool
FFQ Food frequency questionnaire
FV Fruits and vegetables
GIS Geographic information system
HEI Healthy eating index
HFSI Healthy food store index
NEMS Nutrition environment measures survey
NEMS-C Nutrition environment measures survey corner store
NEMS-P Perceived nutrition environment survey
NEMS-R Nutrition environment measures survey restaurant
SEP Socioeconomic position
SES Socioeconomic status
SSB Sugar-sweetened beverages
A variety of stores were included in most of the studies. The most common store types were grocery stores, supermarkets, convenience stores, FF restaurants, green grocers, and farmers markets. Tools to measure the consumer food environment were the Nutrition Environment Measure Survey (NEMS) (n = 4), Obesogenic Environment Study food store observation tool (ESAO-S) (n = 2), Bridging the Gap Community Obesity Measures project (n = 2), healthy food basket (n = 1) and store audit (n = 1). Only one study used the NEMS-R to collect information on restaurants, and one used the NEMS-P to assess perceptions of the consumer food environment. Food choices/dietary outcomes examined included FV intake (n = 15), FF consumption (n = 4), SSB intake (n = 4), snacks (n = 2), food groups (n = 2) and dietary quality indices such as Healthy Eating Index (HEI) (n = 2), Alternative Healthy Eating Index score (AHEI) (n = 1) and A Priori diet quality score (n = 1). Most studies (n = 17) used questionnaires (set questions or food frequency questionnaires) to assess food choices and two studies assessed dietary intake using 24-h recalls (n = 2).

Community food environment and consumption of healthy and unhealthy foods

Four studies found no association between proximity to grocery stores or supermarkets and FV intake [69, 70, 76, 80], and one study found no association between accessibility to supermarkets or green grocers and vegetable consumption [75]. Living near a fresh food source was associated with higher FV consumption [70]. A greater density of greengrocers and supermarkets was associated with frequent consumption of vegetables[51]. Living close to a FF restaurant [87, 88], and a higher density of grocery stores [70], supercenters and supermarkets [80] and unhealthy food stores such as bars, snack bars and food trucks within neighborhoods were associated with lower FV intake [91].
A cross-sectional study in the USA found an association between closer proximity to a supermarket and higher intake of both healthy and unhealthy food groups respectively [87]. Another study in the USA reported no association between living in closer proximity to grocery store and consumption of healthy proteins like beans, chicken and fish, but higher density of grocery stores was associated with eating unhealthy fats [70].
With regards to SSB, one study in the USA reported that closer proximity to and higher density of grocery stores were associated with greater consumption of SSB [70], while another USA study showed no association between proximity to healthy food stores and SSB consumption [76]. Although availability of convenience stores was associated with lower diet quality in low-income individuals in four USA cities it was not associated with SSB consumption [93]. Also, a Brazilian study reported that proximity to and density of supermarkets and fresh produce were not associated with SSB consumption [73].
Five studies assessed the association between community food environment and FF consumption. Living further away from a FF restaurant (including traditional, non-traditional or all FF) [94] or a healthy food source such as a supermarket [96] was associated with lower FF consumption. Highly disadvantaged neighborhoods in comparison to low disadvantaged neighborhoods had lower density and variety of FF restaurants [51].

Community food environment and overall diet quality

Closer proximity to healthy food stores was associated with higher HEI scores [76], and closer proximity to supermarkets was associated with higher AHEI scores [75].

Consumer food environment and consumption of healthy and unhealthy foods

A Brazilian study found no relationship between grocery stores and FV intake however, better access to healthy foods in stores and specialized FV markets was associated with greater FV intake [69]. In contrast, a study in rural USA found no association between healthy food availability and FV intake [102]. In another USA study, perceived neighborhood food availability was associated with higher vegetable consumption [85]. An Australian study reported that higher perception of healthy food availability and perceived lower cost of fruit was associated with high fruit consumption [103]. A USA study reported a negative association between availability of healthy food in stores and SSB consumption [70]. An Australian study reported that prices in both greengrocers and supermarkets were positively associated with consumption of FV[51]. Affordability (price) was reported not to be associated with overall food intake [70] and FV and SSB consumption [73], while marketing was positively associated with vegetable consumption [105]. Perceived greater variety of stores and quality of local grocery stores was not associated with consumption of FV [74].

Barriers and facilitators for access to healthy food in resource-poor communities

Qualitative studies

Table 3 shows the barriers and facilitators for access to healthy food in resource-poor communities as reported in nine qualitative and eleven mixed method studies. In resource-poor communities, high food costs were cited as the main barrier to healthy food access [60, 62, 71, 78, 79, 81, 82, 86, 92, 95, 98, 104]. The second major barrier to healthy food access was transportation (lack of public transportation or car ownership) [61, 62, 77, 79, 81, 82, 84, 90, 92, 95]. Seven studies reported geographic access as barrier to healthy food access [61, 71, 81, 84, 89, 92, 95]. Five studies reported the presence of unhealthy food stores such as corner /convenience stores and FF restaurants as barrier to healthy food access [77, 79, 82, 89, 95]. A lack of healthy food availability [60, 104], the presence of unhealthy foods in various stores [71, 77] and lack of quality and variety FV [79, 81, 104] were perceived as barriers to healthy food access in the consumer food environment. Two studies reported that living in a food desert was a barrier to healthy food access [100, 104].
Table 3
Barriers and facilitators for healthy food access in resource poor communities identified in qualitative and mixed methods
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
FV Fruits and vegetables
FF Fast food
SNAP Supplemental nutrition assistance program
WIC Women, infants, and children
In terms of store type, supermarkets, discount stores, large grocery stores and traditional stores, farmers markets and street vendors/ FV stands were perceived as major facilitators for healthy food access in resource poor communities [71, 72, 84, 86, 98, 100]. Three studies reported that lower food cost in food stores such as supermarkets, discount stores was a facilitator for healthy food access in resource poor communities [71, 82, 86]. Consumer food environment characteristics such as in-store availability of healthy foods [71], quality [77], marketing and sales [83] and variety [90] were also perceived as facilitators for healthy food access.
Two studies in the USA reported that food assistance from non-profit organizations and government programs such as the Supplemental Nutrition Assistance Program (SNAP) and Women, Infants, and Children (WIC) increased healthy food access for residents in communities [95, 100]. Individual strategies such as gardening, fishing and hunting [82], purchasing from various sources, buying in bulk and buying store brands [95] also enabled healthy food access.

Quantitative studies

Table 4 shows the barriers and facilitators for healthy food access in resource poor communities as reported in five quantitative and three mixed method studies. Living further away from grocery stores [63, 68, 99] and shorter operating hours of healthy food stores [67] were associated with poor healthy food access. Barriers to healthy food access include in-store high food prices [63, 99], unavailability of healthy foods [68] and product placement and promotion of unhealthy food items [64]. Access to healthy food was also limited by a lack of access to a car or lack of transportation [65] as well as neighborhood crime and safety issues [68, 99]. Facilitators for healthy food access include public markets [64], vehicle ownership [65], in-store prices [66], access to fresh produce and public transportation [101].
Table 4
Barriers and facilitators for healthy food access in resource poor communities identified in 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
FV Fruits and vegetables
FF Fast food
GIS Geographic information system

Discussion

This scoping review provides an overview of the evidence on adult food choices in association with the local retail food environment and barriers and facilitators for food access in resource-poor communities. Literature shows that food environments may differ across communities, neighborhoods, cities and countries [34]. In contrast to previous reviews that focused on the food environment in different countries, this review focused on studies that reported on low-income communities/neighborhoods and/or low-income households. Results on associations between food choice (dietary outcomes) and the local retail food environment were inconsistent. Numerous studies have stated that heterogeneity of measurement tools for the community and consumer food environment contribute to difficulty with interpreting study outcomes [8, 29, 32, 40, 43]. The standardization of measures to assess the food environment is therefore needed. Recent systematic reviews on food environment and diet in various settings also reported inconclusive findings [10, 35]. Similarly, also to other reviews, mostly cross-sectional studies were included and only two longitudinal studies were included in the present review. This scoping review shows that in resource-poor communities, cost, transportation, limited geographic access, and the presence of unhealthy food stores are the main barriers for access to healthy food. Facilitators that enable access to healthy food include store types such as supermarkets, large grocery stores and farmers markets, lower in-store food prices, food assistance programs, access to transportation, in-store availability, quality, and marketing of healthy food.
Many studies included in this review measured accessibility and availability of food stores within neighborhoods, and consumption of FV and SSB respectively were the most frequently studied dietary outcome. Other reviews have also reported that FV intake was the most common outcome measure [10, 28]. It has been postulated that accessibility to FV stores may influence consumption of FV [29]. In the present review, there was no association found between accessibility and FV intake, while retail food environments were associated with SSB consumption. This review has found little evidence to suggest that in resource-poor communities lower FF consumption is associated with inaccessibility and lack of FF restaurants. These findings suggest that greater access to FF restaurants may encourage unhealthy food choices that are contrary to dietary recommendations that aim to promote healthier food choices [27]. A few studies in the present review reported findings on the association between affordability, price, variety, marketing, quality, and placement (shelf space for healthier food products and unhealthy snacks and drinks), perceived consumer environment and food choices. No studies included in the scoping review reported on the association between food promotion (signage, in-store advertising, health/education materials near food products) and food choices.
In this scoping review, cost and transportation were identified as the two major barriers for access to healthy food in resource-poor communities. It is well known that cost is a barrier to healthy diets worldwide [106]. The availability of transportation allows residents to shop anywhere they can access healthy foods, even if these foods aren't readily available in their neighborhood [107]. This scoping review further shows that lower food prices and store types such as supermarkets, discount stores, large grocery stores and traditional stores, farmers markets and street vendors/ FV stands were considered major facilitators to healthy food access. Food pricing policies such as taxes, price manipulations of SSB, energy dense, low nutrient or high in added sugars or saturated fats and food subsidies on FV can promote healthy diets [106]. A systematic review reported that pricing interventions used in high- and middle-income countries positively affect consumer behavior and improve purchasing and consumption of healthy foods and beverages [108]. Another systematic review found, however, that while policies and FV subsidies are being implemented and supermarkets are becoming more common among resource-poor communities in an attempt to change diets positively [109], supply and demand issues have prevented the expected change [110]. Therefore, increasing proximity does not necessarily result in consumers purchasing and consuming more healthy foods. Sawyer and colleagues stated that for change in unhealthy food environments, creative strategies that support household finances at individual level and transform societal behavior to encourage healthy food production, supply and intake are needed [34].
In this scoping review, convenience/corner stores were also identified as a barrier to healthy food access in resource poor communities. Also, higher neighborhood density of convenience stores was shown to be associated with poor quality diets [93]. To encourage healthier food choices, stores can implement various in-store marketing, placement and pricing strategies as reported in studies conducted in the USA, Australia, and Canada [111114]. For example, stores can allocate more shelf space to display healthy foods, have more refrigerators to store FV, improve the exterior of the store to improving community perception, and assist with promotion and marketing of healthier foods (using shelf labels, call out messages, food and beverage price discounts, placing healthier foods instead of unhealthy foods at eye level or in checkout areas) [111114]. In the USA, nutrition assistance programs such as SNAP and WIC were reported to increase healthy food access for residents in resource-poor communities [95, 100], and encouraging convenience/corner stores to accept nutrition assistance program benefits may improve healthy food access [106, 108, 109]. Various USA based non-profit organizations, community organizations, and local governments have developed interventions to increase access to healthy foods by modifying existing stores to be healthier food outlets [115].
The present study had several strengths and limitations. To ensure a transparent, reproducible review process and to guide the reporting of results (synthesis), we followed the PRISMA-SCR guidelines. A strict eligibility criterion was followed, and selection and data extraction of studies were done by two reviewers to minimize selection bias. Only published peer-reviewed studies were included whilst grey literature was excluded. The use of peer-reviewed literature may lead to publication bias because studies with null or negative association may not have been published. However, to minimize bias, nine databases were used to search for literature. Restrictions on the publication language is a limitation as articles that were not written in English were potentially excluded. No formal appraisal was conducted since the purpose of a scoping review is to describe evidence, not to assess its quality. The lack of appraisal may have resulted in inclusion of studies with poor methodological quality. The present study included mostly cross-sectional studies therefore we cannot determine a causal relationship between local retail food environment and food choices. Research using longitudinal study designs have been recommended to account for changes in the food environment over time and to improve the quality of evidence [31, 45]. Most studies included in the present review were conducted in the USA, Brazil, and Australia therefore these findings cannot be generalized for other regions. It is recommended that more studies be conducted in European, Asian, and African communities for more evidence on the relationship between local retail food environment and adult food choices.

Conclusions

The present scoping review found confounding evidence on the relationship between adult food choices and the local retail food environment. Inconclusive findings may be partly due to heterogeneity in measures of food environment exposures. Nonetheless, store types such as supermarkets, large grocery stores and farmers markets, lower in-store food prices and food assistance programs were identified as the main facilitators to healthy food access in resource poor-communities, while high food cost and lack of transportation were identified as the major barriers. Interventions to improve the retail food environment and access to healthy food are mostly based in the USA, Canada, and Australia [116, 117]. Regionally specific interventions to improve healthy food access need to be developed. Evidence on food choices within the context of the retail food environment in countries in Asia and Africa is lacking, and research in these regions are needed to enable the develop of interventions to improve access to healthy food [35, 50].

Acknowledgements

Not applicable.

Declarations

Not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interest.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany EC, Abate KH, Abbafati C, Abebe Z, et al. Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the global burden of disease study 2017. Lancet. 2019;393:1958–72.CrossRef Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany EC, Abate KH, Abbafati C, Abebe Z, et al. Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the global burden of disease study 2017. Lancet. 2019;393:1958–72.CrossRef
5.
Zurück zum Zitat High Level Panel of Experts on Food Security and Nutrition (HLPE). Nutrition and food systems. A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security. In. Edited by HLPE. Rome; 2017. https://www.fao.org/3/i7846e/i7846e.pdf . Accessed 10 Mar 2022. High Level Panel of Experts on Food Security and Nutrition (HLPE). Nutrition and food systems. A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security. In. Edited by HLPE. Rome; 2017. https://​www.​fao.​org/​3/​i7846e/​i7846e.​pdf . Accessed 10 Mar 2022.
6.
Zurück zum Zitat Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, Neal B, Barquera S, Friel S, Hawkes C, Kelly B, et al. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): overview and key principles. Obes Rev. 2013;14(Suppl 1):1–12.PubMedCrossRef Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, Neal B, Barquera S, Friel S, Hawkes C, Kelly B, et al. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): overview and key principles. Obes Rev. 2013;14(Suppl 1):1–12.PubMedCrossRef
8.
Zurück zum Zitat Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: concepts and measures. Am J Health Promot. 2005;19:330–3.PubMedCrossRef Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: concepts and measures. Am J Health Promot. 2005;19:330–3.PubMedCrossRef
10.
11.
Zurück zum Zitat Charreire H, Casey R, Salze P, Simon C, Chaix B, Banos A, Badariotti D, Weber C, Oppert JM. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr. 2010;13:1773–85.PubMedCrossRef Charreire H, Casey R, Salze P, Simon C, Chaix B, Banos A, Badariotti D, Weber C, Oppert JM. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr. 2010;13:1773–85.PubMedCrossRef
12.
Zurück zum Zitat Black C, Moon G, Baird J. Dietary inequalities: what is the evidence for the effect of the neighbourhood food environment? Health Place. 2014;27:229–42.PubMedCrossRef Black C, Moon G, Baird J. Dietary inequalities: what is the evidence for the effect of the neighbourhood food environment? Health Place. 2014;27:229–42.PubMedCrossRef
13.
Zurück zum Zitat Yamaguchi M, Praditsorn P, Purnamasari SD, Sranacharoenpong K, Arai Y, Sundermeir SM, Gittelsohn J, Hadi H, Nishi N. Measures of perceived neighborhood food environments and dietary habits: a systematic review of methods and associations. Nutrients. 2022;14:1788.PubMedPubMedCentralCrossRef Yamaguchi M, Praditsorn P, Purnamasari SD, Sranacharoenpong K, Arai Y, Sundermeir SM, Gittelsohn J, Hadi H, Nishi N. Measures of perceived neighborhood food environments and dietary habits: a systematic review of methods and associations. Nutrients. 2022;14:1788.PubMedPubMedCentralCrossRef
14.
Zurück zum Zitat Sobal J, Bisogni CA, Devine CM, Jastran M: A conceptual model of the food choice process over the life course. In: The psychology of food choice. edn.: Cabi Wallingford UK; 2006: 1–18. Sobal J, Bisogni CA, Devine CM, Jastran M: A conceptual model of the food choice process over the life course. In: The psychology of food choice. edn.: Cabi Wallingford UK; 2006: 1–18.
15.
Zurück zum Zitat Larson N, Story M. A review of environmental influences on food choices. Ann Behav Med. 2009;38(Suppl 1):S56-73.PubMedCrossRef Larson N, Story M. A review of environmental influences on food choices. Ann Behav Med. 2009;38(Suppl 1):S56-73.PubMedCrossRef
16.
Zurück zum Zitat Turner C, Aggarwal A, Walls H, Herforth A, Drewnowski A, Coates J, Kalamatianou S, Kadiyala S. Concepts and critical perspectives for food environment research: a global framework with implications for action in low- and middle-income countries. Glob Food Sec. 2018;18:93–101.CrossRef Turner C, Aggarwal A, Walls H, Herforth A, Drewnowski A, Coates J, Kalamatianou S, Kadiyala S. Concepts and critical perspectives for food environment research: a global framework with implications for action in low- and middle-income countries. Glob Food Sec. 2018;18:93–101.CrossRef
17.
Zurück zum Zitat Mah CL, Cook B, Rideout K, Minaker LM. Policy options for healthier retail food environments in city-regions. Can J Public Health. 2016;107(Suppl 1):5343.PubMed Mah CL, Cook B, Rideout K, Minaker LM. Policy options for healthier retail food environments in city-regions. Can J Public Health. 2016;107(Suppl 1):5343.PubMed
18.
Zurück zum Zitat Herforth A, Ahmed S. The food environment, its effects on dietary consumption, and potential for measurement within agriculture-nutrition interventions. Food Secur. 2015;7:505–20.CrossRef Herforth A, Ahmed S. The food environment, its effects on dietary consumption, and potential for measurement within agriculture-nutrition interventions. Food Secur. 2015;7:505–20.CrossRef
19.
Zurück zum Zitat Hawkes C, Smith TG, Jewell J, Wardle J, Hammond RA, Friel S, Thow AM, Kain J. Smart food policies for obesity prevention. Lancet. 2015;385:2410–21.PubMedCrossRef Hawkes C, Smith TG, Jewell J, Wardle J, Hammond RA, Friel S, Thow AM, Kain J. Smart food policies for obesity prevention. Lancet. 2015;385:2410–21.PubMedCrossRef
20.
Zurück zum Zitat Story M, Kaphingst KM, Robinson-O’Brien R, Glanz K. Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health. 2008;29:253–72. Story M, Kaphingst KM, Robinson-O’Brien R, Glanz K. Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health. 2008;29:253–72.
21.
Zurück zum Zitat Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70:3–21.PubMedCrossRef Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70:3–21.PubMedCrossRef
22.
Zurück zum Zitat Kant AK, Graubard BI. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and Nutrition Examination Survey (NHANES) 1971–1975 to NHANES 1999–2002. Public Health Nutr. 2007;10:158–67.PubMedCrossRef Kant AK, Graubard BI. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and Nutrition Examination Survey (NHANES) 1971–1975 to NHANES 1999–2002. Public Health Nutr. 2007;10:158–67.PubMedCrossRef
23.
Zurück zum Zitat Minaker LM, Shuh A, Olstad DL, Engler-Stringer R, Black JL, Mah CL. Retail food environments research in Canada: a scoping review. Can J Public Health. 2016;107(Suppl 1):5344.PubMed Minaker LM, Shuh A, Olstad DL, Engler-Stringer R, Black JL, Mah CL. Retail food environments research in Canada: a scoping review. Can J Public Health. 2016;107(Suppl 1):5344.PubMed
24.
Zurück zum Zitat Hilmers A, Hilmers DC, Dave J. Neighborhood disparities in access to healthy foods and their effects on environmental justice. Am J Public Health. 2012;102:1644–54.PubMedPubMedCentralCrossRef Hilmers A, Hilmers DC, Dave J. Neighborhood disparities in access to healthy foods and their effects on environmental justice. Am J Public Health. 2012;102:1644–54.PubMedPubMedCentralCrossRef
25.
26.
Zurück zum Zitat Xin J, Zhao L, Wu T, Zhang L, Li Y, Xue H, Xiao Q, Wang R, Xu P, Visscher T, et al. Association between access to convenience stores and childhood obesity: a systematic review. Obes Rev. 2021;22(Suppl 1):e12908.PubMed Xin J, Zhao L, Wu T, Zhang L, Li Y, Xue H, Xiao Q, Wang R, Xu P, Visscher T, et al. Association between access to convenience stores and childhood obesity: a systematic review. Obes Rev. 2021;22(Suppl 1):e12908.PubMed
27.
Zurück zum Zitat Morland K, Diez Roux AV, Wing S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006;30:333–9.PubMedCrossRef Morland K, Diez Roux AV, Wing S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006;30:333–9.PubMedCrossRef
28.
Zurück zum Zitat Giskes K, van Lenthe F, Avendano-Pabon M, Brug J. A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments? Obes Rev. 2011;12:e95–106.PubMedCrossRef Giskes K, van Lenthe F, Avendano-Pabon M, Brug J. A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments? Obes Rev. 2011;12:e95–106.PubMedCrossRef
29.
Zurück zum Zitat Evans A, Banks K, Jennings R, Nehme E, Nemec C, Sharma S, Hussaini A, Yaroch A. Increasing access to healthful foods: a qualitative study with residents of low-income communities. Int J Behav Nutr Phys Act. 2015;12:S5.PubMedPubMedCentralCrossRef Evans A, Banks K, Jennings R, Nehme E, Nemec C, Sharma S, Hussaini A, Yaroch A. Increasing access to healthful foods: a qualitative study with residents of low-income communities. Int J Behav Nutr Phys Act. 2015;12:S5.PubMedPubMedCentralCrossRef
30.
Zurück zum Zitat Kim M, Budd N, Batorsky B, Krubiner C, Manchikanti S, Waldrop G, Trude A, Gittelsohn J. Barriers to and facilitators of stocking healthy food options: viewpoints of Baltimore City small storeowners. Ecol Food Nutr. 2017;56:17–30.PubMedCrossRef Kim M, Budd N, Batorsky B, Krubiner C, Manchikanti S, Waldrop G, Trude A, Gittelsohn J. Barriers to and facilitators of stocking healthy food options: viewpoints of Baltimore City small storeowners. Ecol Food Nutr. 2017;56:17–30.PubMedCrossRef
31.
Zurück zum Zitat Grimm KAML, Scanlon KS. Centers for Disease Control and prevention (CDC): access to healthier food retailers - United States. MMWR Surveillance Summary. 2011;62(Suppl 3):20–6. Grimm KAML, Scanlon KS. Centers for Disease Control and prevention (CDC): access to healthier food retailers - United States. MMWR Surveillance Summary. 2011;62(Suppl 3):20–6.
32.
Zurück zum Zitat Ohri-Vachaspati P, DeWeese RS, Acciai F, DeLia D, Tulloch D, Tong D, Lorts C, Yedidia M. Healthy food access in low-income high-minority communities: a longitudinal assessment-2009-2017. Int J Environ Res Public Health. 2019;16:13.CrossRef Ohri-Vachaspati P, DeWeese RS, Acciai F, DeLia D, Tulloch D, Tong D, Lorts C, Yedidia M. Healthy food access in low-income high-minority communities: a longitudinal assessment-2009-2017. Int J Environ Res Public Health. 2019;16:13.CrossRef
33.
Zurück zum Zitat Dubowitz T, Heron M, Bird CE, Lurie N, Finch BK, Basurto-Dávila R, Hale L, Escarce JJ. Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr. 2008;87:1883–91.PubMedCrossRef Dubowitz T, Heron M, Bird CE, Lurie N, Finch BK, Basurto-Dávila R, Hale L, Escarce JJ. Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr. 2008;87:1883–91.PubMedCrossRef
34.
Zurück zum Zitat Sawyer ADM, van Lenthe F, Kamphuis CBM, Terragni L, Roos G, Poelman MP, Nicolaou M, Waterlander W, Djojosoeparto SK, Scheidmeir M, et al. Dynamics of the complex food environment underlying dietary intake in low-income groups: a systems map of associations extracted from a systematic umbrella literature review. Int J Behav Nutr Phys Act. 2021;18:96.PubMedPubMedCentralCrossRef Sawyer ADM, van Lenthe F, Kamphuis CBM, Terragni L, Roos G, Poelman MP, Nicolaou M, Waterlander W, Djojosoeparto SK, Scheidmeir M, et al. Dynamics of the complex food environment underlying dietary intake in low-income groups: a systems map of associations extracted from a systematic umbrella literature review. Int J Behav Nutr Phys Act. 2021;18:96.PubMedPubMedCentralCrossRef
35.
Zurück zum Zitat Westbury S, Ghosh I, Jones HM, Mensah D, Samuel F, Irache A, Azhar N, Al-Khudairy L, Iqbal R, Oyebode O. The influence of the urban food environment on diet, nutrition and health outcomes in low-income and middle-income countries: a systematic review. BMJ Glob Health. 2021;6:10.CrossRef Westbury S, Ghosh I, Jones HM, Mensah D, Samuel F, Irache A, Azhar N, Al-Khudairy L, Iqbal R, Oyebode O. The influence of the urban food environment on diet, nutrition and health outcomes in low-income and middle-income countries: a systematic review. BMJ Glob Health. 2021;6:10.CrossRef
36.
Zurück zum Zitat Bivoltsis A, Cervigni E, Trapp G, Knuiman M, Hooper P, Ambrosini GL. Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? a systematic review. Int J Health Geogr. 2018;17:19.PubMedPubMedCentralCrossRef Bivoltsis A, Cervigni E, Trapp G, Knuiman M, Hooper P, Ambrosini GL. Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? a systematic review. Int J Health Geogr. 2018;17:19.PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat Wilkins E, Radley D, Morris M, Hobbs M, Christensen A, Marwa WL, Morrin A, Griffiths C. A systematic review employing the GeoFERN framework to examine methods, reporting quality and associations between the retail food environment and obesity. Health Place. 2019;57:186–99.PubMedCrossRef Wilkins E, Radley D, Morris M, Hobbs M, Christensen A, Marwa WL, Morrin A, Griffiths C. A systematic review employing the GeoFERN framework to examine methods, reporting quality and associations between the retail food environment and obesity. Health Place. 2019;57:186–99.PubMedCrossRef
38.
Zurück zum Zitat An R, He L, Shen MSJ. Impact of neighbourhood food environment on diet and obesity in China: a systematic review. Public Health Nutr. 2020;23:457–73.PubMedCrossRef An R, He L, Shen MSJ. Impact of neighbourhood food environment on diet and obesity in China: a systematic review. Public Health Nutr. 2020;23:457–73.PubMedCrossRef
39.
Zurück zum Zitat Osei-Assibey G, Dick S, Macdiarmid J, Semple S, Reilly JJ, Ellaway A, Cowie H, McNeill G. The influence of the food environment on overweight and obesity in young children: a systematic review. BMJ Open. 2012;2:e001538.PubMedPubMedCentralCrossRef Osei-Assibey G, Dick S, Macdiarmid J, Semple S, Reilly JJ, Ellaway A, Cowie H, McNeill G. The influence of the food environment on overweight and obesity in young children: a systematic review. BMJ Open. 2012;2:e001538.PubMedPubMedCentralCrossRef
40.
Zurück zum Zitat Zhou P, Li R, Liu K. The neighborhood food environment and the onset of child-hood obesity: a retrospective time-trend study in a mid-sized city in China. Front Public Health. 2021;9:688767.PubMedPubMedCentralCrossRef Zhou P, Li R, Liu K. The neighborhood food environment and the onset of child-hood obesity: a retrospective time-trend study in a mid-sized city in China. Front Public Health. 2021;9:688767.PubMedPubMedCentralCrossRef
41.
Zurück zum Zitat Zhou Q, Zhao L, Zhang L, Xiao Q, Wu T, Visscher T, Zhao J, Xin J, Yu X, Xue H, et al. Neighborhood supermarket access and childhood obesity: a systematic review. Obes Rev. 2021;22 Suppl 1(Suppl 1):e12937.PubMed Zhou Q, Zhao L, Zhang L, Xiao Q, Wu T, Visscher T, Zhao J, Xin J, Yu X, Xue H, et al. Neighborhood supermarket access and childhood obesity: a systematic review. Obes Rev. 2021;22 Suppl 1(Suppl 1):e12937.PubMed
42.
Zurück zum Zitat Li Y, Luo M, Wu X, Xiao Q, Luo J, Jia P. Grocery store access and childhood obesity: a systematic review and meta-analysis. Obes Rev. 2021;22 Suppl 1(Suppl 1):e12945.PubMed Li Y, Luo M, Wu X, Xiao Q, Luo J, Jia P. Grocery store access and childhood obesity: a systematic review and meta-analysis. Obes Rev. 2021;22 Suppl 1(Suppl 1):e12945.PubMed
43.
Zurück zum Zitat Jia P, Luo M, Li Y, Zheng JS, Xiao Q, Luo J. Fast-food restaurant, unhealthy eating, and childhood obesity: a systematic review and meta-analysis. Obes Rev. 2021;Suppl 1(Suppl 1):e12944. Jia P, Luo M, Li Y, Zheng JS, Xiao Q, Luo J. Fast-food restaurant, unhealthy eating, and childhood obesity: a systematic review and meta-analysis. Obes Rev. 2021;Suppl 1(Suppl 1):e12944.
44.
Zurück zum Zitat Fleischhacker SE, Evenson KR, Rodriguez DA, Ammerman AS. A systematic review of fast food access studies. Obes Rev. 2011;12:e460–71.PubMedCrossRef Fleischhacker SE, Evenson KR, Rodriguez DA, Ammerman AS. A systematic review of fast food access studies. Obes Rev. 2011;12:e460–71.PubMedCrossRef
45.
Zurück zum Zitat Antonio G, Mohansrinivasa C. Exploring the relationship between the fast food environment and obesity rates in the US vs . abroad: a systematic review. J Obes Weight Loss Ther. 2017;8:1–17. Antonio G, Mohansrinivasa C. Exploring the relationship between the fast food environment and obesity rates in the US vs . abroad: a systematic review. J Obes Weight Loss Ther. 2017;8:1–17.
46.
Zurück zum Zitat Harbers MC, Beulens JWJ, Rutters F, de Boer F, Gillebaart M, Sluijs I, van der Schouw YT. The effects of nudges on purchases, food choice, and energy intake or content of purchases in real-life food purchasing environments: A systematic review and evidence synthesis. Nutr J. 2020;19:103.PubMedPubMedCentralCrossRef Harbers MC, Beulens JWJ, Rutters F, de Boer F, Gillebaart M, Sluijs I, van der Schouw YT. The effects of nudges on purchases, food choice, and energy intake or content of purchases in real-life food purchasing environments: A systematic review and evidence synthesis. Nutr J. 2020;19:103.PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Engler-Stringer R, Le H, Gerrard A, Muhajarine N. The community and consumer food environment and children’s diet: a systematic review. BMC Public Health. 2014;14:522.PubMedPubMedCentralCrossRef Engler-Stringer R, Le H, Gerrard A, Muhajarine N. The community and consumer food environment and children’s diet: a systematic review. BMC Public Health. 2014;14:522.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat da Costa Peres CM, Gardone DS, Costa BVL, Duarte CK, Pessoa MC, Mendes LL. Retail food environment around schools and overweight: a systematic review. Nutr Rev. 2020;78:841–56.PubMedCrossRef da Costa Peres CM, Gardone DS, Costa BVL, Duarte CK, Pessoa MC, Mendes LL. Retail food environment around schools and overweight: a systematic review. Nutr Rev. 2020;78:841–56.PubMedCrossRef
49.
Zurück zum Zitat Williams J, Scarborough P, Matthews A, Cowburn G, Foster C, Roberts N, Rayner M. A systematic review of the influence of the retail food environment around schools on obesity-related outcomes. Obes Rev. 2014;15:359–74.PubMedCrossRef Williams J, Scarborough P, Matthews A, Cowburn G, Foster C, Roberts N, Rayner M. A systematic review of the influence of the retail food environment around schools on obesity-related outcomes. Obes Rev. 2014;15:359–74.PubMedCrossRef
50.
Zurück zum Zitat Turner C, Kalamatianou S, Drewnowski A, Kulkarni B, Kinra S, Kadiyala S. Food environment research in low- and middle-income countries: a systematic scoping review. Adv Nutr. 2020;11:387–97.PubMedCrossRef Turner C, Kalamatianou S, Drewnowski A, Kulkarni B, Kinra S, Kadiyala S. Food environment research in low- and middle-income countries: a systematic scoping review. Adv Nutr. 2020;11:387–97.PubMedCrossRef
51.
Zurück zum Zitat Thornton LE, Crawford DA, Ball K. Neighbourhood-socioeconomic variation in women’s diet: the role of nutrition environments. Eur J Clin Nutr. 2010;64:1423–32. Thornton LE, Crawford DA, Ball K. Neighbourhood-socioeconomic variation in women’s diet: the role of nutrition environments. Eur J Clin Nutr. 2010;64:1423–32.
52.
Zurück zum Zitat Blake CE, Frongillo EA, Warren AM, Constantinides SV, Rampalli KK, Bhandari S. Elaborating the science of food choice for rapidly changing food systems in low-and middle-income countries. Glob Food Sec. 2021;28:100503.CrossRef Blake CE, Frongillo EA, Warren AM, Constantinides SV, Rampalli KK, Bhandari S. Elaborating the science of food choice for rapidly changing food systems in low-and middle-income countries. Glob Food Sec. 2021;28:100503.CrossRef
53.
Zurück zum Zitat Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32.
54.
Zurück zum Zitat Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169:467–73. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169:467–73.
55.
Zurück zum Zitat Madlala S, Hill J, Kunneke E, Faber M. Adult food choices in association with the local retail food environment and food access in resource-poor communities: a scoping review protocol. BMJ Open. 2021;11:e044904.PubMedPubMedCentralCrossRef Madlala S, Hill J, Kunneke E, Faber M. Adult food choices in association with the local retail food environment and food access in resource-poor communities: a scoping review protocol. BMJ Open. 2021;11:e044904.PubMedPubMedCentralCrossRef
56.
Zurück zum Zitat Joanna Briggs Institute: Joanna Briggs Institute reviewers' manual: 2014 Edition. In.: Joanna Briggs Institute Adelaide; 2014. Joanna Briggs Institute: Joanna Briggs Institute reviewers' manual: 2014 Edition. In.: Joanna Briggs Institute Adelaide; 2014.
58.
Zurück zum Zitat McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22:276–82.CrossRef McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22:276–82.CrossRef
59.
Zurück zum Zitat Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5:69. Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5:69.
60.
Zurück zum Zitat Alkon A, Block D, Moore K, Gillis C, DiNuccio N, Chavez N, Alkon AH, Block D, Moore K, Gillis C, et al. Foodways of the urban poor. Geoforum. 2013;48:126–35.CrossRef Alkon A, Block D, Moore K, Gillis C, DiNuccio N, Chavez N, Alkon AH, Block D, Moore K, Gillis C, et al. Foodways of the urban poor. Geoforum. 2013;48:126–35.CrossRef
61.
Zurück zum Zitat Andress L, Fitch C. Juggling the five dimensions of food access: perceptions of rural low income residents. Appetite. 2016;105:151–5.PubMedCrossRef Andress L, Fitch C. Juggling the five dimensions of food access: perceptions of rural low income residents. Appetite. 2016;105:151–5.PubMedCrossRef
62.
Zurück zum Zitat Bardenhagen C, Pinard C, Pirog R, Yaroch A. Characterizing rural food access in remote areas. J Community Health. 2017;42:1008–19.PubMedCrossRef Bardenhagen C, Pinard C, Pirog R, Yaroch A. Characterizing rural food access in remote areas. J Community Health. 2017;42:1008–19.PubMedCrossRef
63.
Zurück zum Zitat Breyer B, Voss-Andreae A. Food mirages: Geographic and economic barriers to healthful food access in Portland. Oregon Health & Place. 2013;24:131–9.CrossRef Breyer B, Voss-Andreae A. Food mirages: Geographic and economic barriers to healthful food access in Portland. Oregon Health & Place. 2013;24:131–9.CrossRef
64.
Zurück zum Zitat Bridle-Fitzpatrick S. Food deserts or food swamps?: A mixed-methods study of local food environments in a Mexican city. Soc Sci Med. 2015;142:202–13.PubMedCrossRef Bridle-Fitzpatrick S. Food deserts or food swamps?: A mixed-methods study of local food environments in a Mexican city. Soc Sci Med. 2015;142:202–13.PubMedCrossRef
65.
Zurück zum Zitat Burns C, Inglis A, Burns CM, Inglis AD. Measuring food access in Melbourne: access to healthy and fast foods by car, bus and foot in an urban municipality in Melbourne. Health Place. 2007;13:877–85.PubMedCrossRef Burns C, Inglis A, Burns CM, Inglis AD. Measuring food access in Melbourne: access to healthy and fast foods by car, bus and foot in an urban municipality in Melbourne. Health Place. 2007;13:877–85.PubMedCrossRef
66.
Zurück zum Zitat Cassady D, Jetter KM, Culp J. Is price a barrier to eating more fruits and vegetables for low-income families? J Am Diet Assoc. 2007;107:1909–15.PubMedCrossRef Cassady D, Jetter KM, Culp J. Is price a barrier to eating more fruits and vegetables for low-income families? J Am Diet Assoc. 2007;107:1909–15.PubMedCrossRef
67.
Zurück zum Zitat Chen X, Clark J, Chen X, Clark J. Measuring space-time access to food retailers: a case of temporal access disparity in franklin county. Ohio Prof Geogr. 2016;68:175–88.CrossRef Chen X, Clark J, Chen X, Clark J. Measuring space-time access to food retailers: a case of temporal access disparity in franklin county. Ohio Prof Geogr. 2016;68:175–88.CrossRef
68.
Zurück zum Zitat Childs J, Lewis LR. Food deserts and a southwest community of Baltimore City. Food Cult Soc. 2012;15:395–414.CrossRef Childs J, Lewis LR. Food deserts and a southwest community of Baltimore City. Food Cult Soc. 2012;15:395–414.CrossRef
69.
Zurück zum Zitat de Menezes M, Roux A, Costa B, Lopes A, de Menezes MC, Roux AVD, de Lima Costa BV, Souza Lopes AC. Individual and food environmental factors: association with diet. Public Health Nutr. 2018;21:2782–92.PubMedCrossRef de Menezes M, Roux A, Costa B, Lopes A, de Menezes MC, Roux AVD, de Lima Costa BV, Souza Lopes AC. Individual and food environmental factors: association with diet. Public Health Nutr. 2018;21:2782–92.PubMedCrossRef
70.
Zurück zum Zitat Diehl J, Heard D, Lockhart S, Main D, Diehl JA, Heard D, Lockhart S, Main DS. Access in the food environment: A health equity approach reveals unequal opportunity. JPER. 2020;40:69–81. Diehl J, Heard D, Lockhart S, Main D, Diehl JA, Heard D, Lockhart S, Main DS. Access in the food environment: A health equity approach reveals unequal opportunity. JPER. 2020;40:69–81.
71.
Zurück zum Zitat Diez J, Valiente R, Ramos C, Garcia R, Gittelsohn J, Franco M, Diez J, Valiente R, Ramos C, Garcia R, et al. The mismatch between observational measures and residents’ perspectives on the retail food environment: a mixed-methods approach in the Heart Healthy Hoods study. Public Health Nutr. 2017;20:2970–9. Diez J, Valiente R, Ramos C, Garcia R, Gittelsohn J, Franco M, Diez J, Valiente R, Ramos C, Garcia R, et al. The mismatch between observational measures and residents’ perspectives on the retail food environment: a mixed-methods approach in the Heart Healthy Hoods study. Public Health Nutr. 2017;20:2970–9.
72.
Zurück zum Zitat Díez J, Conde PM, Urtasun M, López R, Carrero JL, Gittelsohn J, Franco M. in M, Urtasun M, López R, Carrero JL, Gittelsohn J, Franco M: Understanding the local food environment: A participatory photovoice project in a low-income area in Madrid, Spain. Health & Place. 2017;43:95–103.CrossRef Díez J, Conde PM, Urtasun M, López R, Carrero JL, Gittelsohn J, Franco M. in M, Urtasun M, López R, Carrero JL, Gittelsohn J, Franco M: Understanding the local food environment: A participatory photovoice project in a low-income area in Madrid, Spain. Health & Place. 2017;43:95–103.CrossRef
73.
Zurück zum Zitat Duran A, de Almeida S, Latorre M, Jaime P, Duran AC, de Almeida SL. Latorre MdRDO, Jaime PC: The role of the local retail food environment in fruit, vegetable and sugar-sweetened beverage consumption in Brazil. Public Health Nutr. 2016;19:1093–102.PubMedCrossRef Duran A, de Almeida S, Latorre M, Jaime P, Duran AC, de Almeida SL. Latorre MdRDO, Jaime PC: The role of the local retail food environment in fruit, vegetable and sugar-sweetened beverage consumption in Brazil. Public Health Nutr. 2016;19:1093–102.PubMedCrossRef
74.
Zurück zum Zitat Flint E, Cummins S, Matthews S, Flint E, Cummins S, Matthews S. Do perceptions of the neighbourhood food environment predict fruit and vegetable intake in low-income neighbourhoods? Health Place. 2013;24:11–5.PubMedPubMedCentralCrossRef Flint E, Cummins S, Matthews S, Flint E, Cummins S, Matthews S. Do perceptions of the neighbourhood food environment predict fruit and vegetable intake in low-income neighbourhoods? Health Place. 2013;24:11–5.PubMedPubMedCentralCrossRef
75.
Zurück zum Zitat Gao X, Engeda J, Moore LV, Auchincloss AH, Moore K, Mujahid MS. Longitudinal associations between objective and perceived healthy food environment and diet: The Multi-Ethnic Study of Atherosclerosis. Soc Sci Med. 2022;292:N.PAG-N.PAG.CrossRef Gao X, Engeda J, Moore LV, Auchincloss AH, Moore K, Mujahid MS. Longitudinal associations between objective and perceived healthy food environment and diet: The Multi-Ethnic Study of Atherosclerosis. Soc Sci Med. 2022;292:N.PAG-N.PAG.CrossRef
76.
Zurück zum Zitat Glickman AR, Clark JK, Freedman DA. A relational approach to evaluate food environments finds that the proximate food environment matters for those who use it. Health Place. 2021;69:102564.PubMedPubMedCentralCrossRef Glickman AR, Clark JK, Freedman DA. A relational approach to evaluate food environments finds that the proximate food environment matters for those who use it. Health Place. 2021;69:102564.PubMedPubMedCentralCrossRef
77.
Zurück zum Zitat Gravina L, Jauregi A, Estebanez A, Fernández-Aedo I, Guenaga N, Ballesteros-Peña S, Díez J, Franco M: Residents' perceptions of their local food environment in socioeconomically diverse neighborhoods: A photovoice study. Appetite. 2020;147:N.PAG-N.PAG. Gravina L, Jauregi A, Estebanez A, Fernández-Aedo I, Guenaga N, Ballesteros-Peña S, Díez J, Franco M: Residents' perceptions of their local food environment in socioeconomically diverse neighborhoods: A photovoice study. Appetite. 2020;147:N.PAG-N.PAG.
78.
Zurück zum Zitat Harbers MC, Middel CNH, Stuber JM, Beulens JWJ, Rutters F, van der Schouw YT. Determinants of food choice and perceptions of supermarket-based nudging interventions among adults with low socioeconomic position: The SUPREME NUDGE Project. Int J Environ Res Public Health. 2021;18:11.CrossRef Harbers MC, Middel CNH, Stuber JM, Beulens JWJ, Rutters F, van der Schouw YT. Determinants of food choice and perceptions of supermarket-based nudging interventions among adults with low socioeconomic position: The SUPREME NUDGE Project. Int J Environ Res Public Health. 2021;18:11.CrossRef
79.
Zurück zum Zitat Haynes-Maslow L, Parsons SE, Wheeler SB, Leone LA. A qualitative study of perceived barriers to fruit and vegetable consumption among low-income populations, North Carolina, 2011. Prev Chronic Dis. 2013;10:E34–E34.PubMedPubMedCentralCrossRef Haynes-Maslow L, Parsons SE, Wheeler SB, Leone LA. A qualitative study of perceived barriers to fruit and vegetable consumption among low-income populations, North Carolina, 2011. Prev Chronic Dis. 2013;10:E34–E34.PubMedPubMedCentralCrossRef
80.
Zurück zum Zitat Haynes-Maslow L, McGuirt J, Trippichio G, Armstrong-Brown J, Ammerman A, Leone L. Examining commonly used perceived and objective measures of fruit and vegetable access in low-income populations and their association with consumption. Transl Behav Med. 2020;10:1342–9.PubMed Haynes-Maslow L, McGuirt J, Trippichio G, Armstrong-Brown J, Ammerman A, Leone L. Examining commonly used perceived and objective measures of fruit and vegetable access in low-income populations and their association with consumption. Transl Behav Med. 2020;10:1342–9.PubMed
81.
Zurück zum Zitat Hendrickson D, Smith C, Eikenberry N, Hendrickson D, Smith C, Eikenberry N. Fruit and vegetable access in four low-income food deserts communities in Minnesota. Agric Hum Values. 2006;23:371–83.CrossRef Hendrickson D, Smith C, Eikenberry N, Hendrickson D, Smith C, Eikenberry N. Fruit and vegetable access in four low-income food deserts communities in Minnesota. Agric Hum Values. 2006;23:371–83.CrossRef
82.
Zurück zum Zitat Holston D, Stroope J, Greene M, Houghtaling B, Holston D, Stroope J, Greene M, Houghtaling B. Perceptions of the food environment and access among predominantly black low-income residents of rural Louisiana communities. Int J Environ Res Public Health. 2020;17:15.CrossRef Holston D, Stroope J, Greene M, Houghtaling B, Holston D, Stroope J, Greene M, Houghtaling B. Perceptions of the food environment and access among predominantly black low-income residents of rural Louisiana communities. Int J Environ Res Public Health. 2020;17:15.CrossRef
83.
Zurück zum Zitat Jiang Q, Francis SL, Chapman-Novakofski KM, Wilt M, Carbone ET, Cohen NL. Perceived environmental supports for fruit and vegetable consumption among older adults in the US. Nutr Health. 2021;27:309–19.PubMedCrossRef Jiang Q, Francis SL, Chapman-Novakofski KM, Wilt M, Carbone ET, Cohen NL. Perceived environmental supports for fruit and vegetable consumption among older adults in the US. Nutr Health. 2021;27:309–19.PubMedCrossRef
84.
Zurück zum Zitat Jilcott S, Hurwitz J, Moore J, Blake C, Jilcott SB, Hurwitz J, Moore JB, Blake C. Qualitative Perspectives on the use of traditional and nontraditional food venues among middle- and low-income women in eastern North Carolina. Ecol Food Nutr. 2010;49:373–89.PubMedCrossRef Jilcott S, Hurwitz J, Moore J, Blake C, Jilcott SB, Hurwitz J, Moore JB, Blake C. Qualitative Perspectives on the use of traditional and nontraditional food venues among middle- and low-income women in eastern North Carolina. Ecol Food Nutr. 2010;49:373–89.PubMedCrossRef
85.
Zurück zum Zitat Karpyn A, Young C, Collier Z, Glanz K, Karpyn A, Young CR, Collier Z, Glanz K. Correlates of healthy eating in urban food desert communities. Int J Environ Res Public Health. 2020;17:17.CrossRef Karpyn A, Young C, Collier Z, Glanz K, Karpyn A, Young CR, Collier Z, Glanz K. Correlates of healthy eating in urban food desert communities. Int J Environ Res Public Health. 2020;17:17.CrossRef
86.
Zurück zum Zitat Ko L, Enzler C, Perry C, Rodriguez E, Marisal N, Linde S, Duggan C, Ko LK, Enzler C, ra et al: Food availability and food access in rural agricultural communities: use of mixed methods BMC Public Health. 2018;18:634. Ko L, Enzler C, Perry C, Rodriguez E, Marisal N, Linde S, Duggan C, Ko LK, Enzler C, ra et al: Food availability and food access in rural agricultural communities: use of mixed methods BMC Public Health. 2018;18:634.
87.
Zurück zum Zitat LeDoux TF, Vojnovic I. Examining the role between the residential neighborhood food environment and diet among low-income households in detroit. Michigan Appl Geogr. 2014;55:9–18.CrossRef LeDoux TF, Vojnovic I. Examining the role between the residential neighborhood food environment and diet among low-income households in detroit. Michigan Appl Geogr. 2014;55:9–18.CrossRef
88.
Zurück zum Zitat Leonard T, McKillop C, Carson J, Shuval K, Leonard T, McKillop C, Carson JA, Shuval K. Neighborhood effects on food consumption. J Behav Exp Econ. 2014;51:99–113.CrossRef Leonard T, McKillop C, Carson J, Shuval K, Leonard T, McKillop C, Carson JA, Shuval K. Neighborhood effects on food consumption. J Behav Exp Econ. 2014;51:99–113.CrossRef
89.
90.
Zurück zum Zitat MacNell L, Elliott S, Hardison-Moody A, Bowen S, MacNell L, Elliott S, Hardison-Moody A, Bowen S. Black and Latino urban food desert residents’ perceptions of their food environment and factors that influence food shopping decisions. J Hunger Environ Nutr. 2017;12:375–93. MacNell L, Elliott S, Hardison-Moody A, Bowen S, MacNell L, Elliott S, Hardison-Moody A, Bowen S. Black and Latino urban food desert residents’ perceptions of their food environment and factors that influence food shopping decisions. J Hunger Environ Nutr. 2017;12:375–93.
91.
Zurück zum Zitat Pessoa MC, Mendes LL, Gomes CS, Martins PA, Velasquez-Melendez G. Food environment and fruit and vegetable intake in a urban population: a multilevel analysis. BMC Public Health. 2015;15:1–8.CrossRef Pessoa MC, Mendes LL, Gomes CS, Martins PA, Velasquez-Melendez G. Food environment and fruit and vegetable intake in a urban population: a multilevel analysis. BMC Public Health. 2015;15:1–8.CrossRef
92.
Zurück zum Zitat Rodriguez R, Grahame K, Rodriguez RM, Grahame KM. Understanding food access in a rural community an ecological perspective. Food Cult Soc. 2016;19:171–94.CrossRef Rodriguez R, Grahame K, Rodriguez RM, Grahame KM. Understanding food access in a rural community an ecological perspective. Food Cult Soc. 2016;19:171–94.CrossRef
93.
Zurück zum Zitat Rummo P, Meyer K, Boone-Heinonen J, Jacobs D, Kiefe C, Lewis C, Steffen L, Gordon-Larsen P, Rummo PE, Meyer KA, et al. Neighborhood availability of convenience stores and diet quality: findings from 20 years of follow-up in the coronary artery risk development in young adults study. Am J Public Health. 2015;105:E65–73.PubMedPubMedCentralCrossRef Rummo P, Meyer K, Boone-Heinonen J, Jacobs D, Kiefe C, Lewis C, Steffen L, Gordon-Larsen P, Rummo PE, Meyer KA, et al. Neighborhood availability of convenience stores and diet quality: findings from 20 years of follow-up in the coronary artery risk development in young adults study. Am J Public Health. 2015;105:E65–73.PubMedPubMedCentralCrossRef
94.
Zurück zum Zitat Sharkey JR, Johnson CM, Dean WR, Horel SA. Association between proximity to and coverage of traditional fast-food restaurants and nontraditional fast-food outlets and fast-food consumption among rural adults. Int J Health Geogr. 2011;10:37–47.PubMedPubMedCentralCrossRef Sharkey JR, Johnson CM, Dean WR, Horel SA. Association between proximity to and coverage of traditional fast-food restaurants and nontraditional fast-food outlets and fast-food consumption among rural adults. Int J Health Geogr. 2011;10:37–47.PubMedPubMedCentralCrossRef
95.
Zurück zum Zitat Tach L, Amorim M, Tach L, Amorim M. Constrained, convenient, and symbolic consumption: neighborhood food environments and economic coping strategies among the urban poor. J Urban Health. 2015;92:815–34.PubMedPubMedCentralCrossRef Tach L, Amorim M, Tach L, Amorim M. Constrained, convenient, and symbolic consumption: neighborhood food environments and economic coping strategies among the urban poor. J Urban Health. 2015;92:815–34.PubMedPubMedCentralCrossRef
96.
Zurück zum Zitat Thornton L, Jeffery R, Crawford D, Thornton LE, Jeffery RW, Crawford DA. Barriers to avoiding fast-food consumption in an environment supportive of unhealthy eating. Public Health Nutr. 2013;16:2105–13.PubMedCrossRef Thornton L, Jeffery R, Crawford D, Thornton LE, Jeffery RW, Crawford DA. Barriers to avoiding fast-food consumption in an environment supportive of unhealthy eating. Public Health Nutr. 2013;16:2105–13.PubMedCrossRef
97.
Zurück zum Zitat Thornton LE, Lamb KE, Tseng M, Crawford DA, Ball K. Does food store access modify associations between intrapersonal factors and fruit and vegetable consumption? Eur J Clin Nutr. 2015;69:902–6.PubMedCrossRef Thornton LE, Lamb KE, Tseng M, Crawford DA, Ball K. Does food store access modify associations between intrapersonal factors and fruit and vegetable consumption? Eur J Clin Nutr. 2015;69:902–6.PubMedCrossRef
98.
Zurück zum Zitat Valdez Z, Ramírez AS, Estrada E, Grassi K, Nathan S. Community perspectives on access to and availability of healthy food in rural, low-resource. Latino Communities Prev Chronic Dis. 2016;13:1–11. Valdez Z, Ramírez AS, Estrada E, Grassi K, Nathan S. Community perspectives on access to and availability of healthy food in rural, low-resource. Latino Communities Prev Chronic Dis. 2016;13:1–11.
99.
Zurück zum Zitat Vallianatos M, Azuma AM, Gilliland S, Gottlieb R. Food access, availability, and affordability in 3 Los Angeles communities, Project CAFE, 2004–2006. Prev Chronic Dis. 2010;7:A27.PubMedPubMedCentral Vallianatos M, Azuma AM, Gilliland S, Gottlieb R. Food access, availability, and affordability in 3 Los Angeles communities, Project CAFE, 2004–2006. Prev Chronic Dis. 2010;7:A27.PubMedPubMedCentral
100.
Zurück zum Zitat Walker R, Fryer C, Butler J, Keane C, Kriska A, Burke J, Walker RE, Fryer CS, Butler J, Keane CR, et al. Factors influencing food buying practices in residents of a low-income food desert and a low-income food oasis. J Mix Methods Res. 2011;5:247–67.CrossRef Walker R, Fryer C, Butler J, Keane C, Kriska A, Burke J, Walker RE, Fryer CS, Butler J, Keane CR, et al. Factors influencing food buying practices in residents of a low-income food desert and a low-income food oasis. J Mix Methods Res. 2011;5:247–67.CrossRef
101.
102.
Zurück zum Zitat Waters C, Zoellner J, Estabrooks P, Hill J, Waters CN, Zoellner JM, Estabrooks PA, Hill JL. Is the availability of healthy foods related to fruit and vegetable consumption in a rural, health-disparate region? J Hunger Environ Nutr. 2018;13:289–303.CrossRef Waters C, Zoellner J, Estabrooks P, Hill J, Waters CN, Zoellner JM, Estabrooks PA, Hill JL. Is the availability of healthy foods related to fruit and vegetable consumption in a rural, health-disparate region? J Hunger Environ Nutr. 2018;13:289–303.CrossRef
103.
Zurück zum Zitat Williams L, Ball K, Crawford D. Why do some socioeconomically disadvantaged women eat better than others? An investigation of the personal, social and environmental correlates of fruit and vegetable consumption. Appetite. 2010;55:441–6.PubMedCrossRef Williams L, Ball K, Crawford D. Why do some socioeconomically disadvantaged women eat better than others? An investigation of the personal, social and environmental correlates of fruit and vegetable consumption. Appetite. 2010;55:441–6.PubMedCrossRef
104.
Zurück zum Zitat Zenk S, Odoms-Young A, Dallas C, Hardy E, Watkins A, Hoskins-Wroten J, Holl L, Zenk SN, Odoms-Young AM, et al. “You Have to Hunt for the Fruits, the Vegetables”: Environmental barriers and adaptive strategies to acquire food in a low-income African American neighborhood. Health Educ Behav. 2011;38:282–92. Zenk S, Odoms-Young A, Dallas C, Hardy E, Watkins A, Hoskins-Wroten J, Holl L, Zenk SN, Odoms-Young AM, et al. “You Have to Hunt for the Fruits, the Vegetables”: Environmental barriers and adaptive strategies to acquire food in a low-income African American neighborhood. Health Educ Behav. 2011;38:282–92.
105.
Zurück zum Zitat Zhao A, McGowan C, Zenk S, Kershaw K, Zhao AW, McGowan CC, Zenk SN, Kershaw KN. Associations of the consumer food environment with eating behaviours and BMI. Public Health Nutr. 2020;23:3197–203.PubMedPubMedCentralCrossRef Zhao A, McGowan C, Zenk S, Kershaw K, Zhao AW, McGowan CC, Zenk SN, Kershaw KN. Associations of the consumer food environment with eating behaviours and BMI. Public Health Nutr. 2020;23:3197–203.PubMedPubMedCentralCrossRef
106.
Zurück zum Zitat Herforth A, Bai, Y., Venkat, A., Mahrt, K., Ebel, A. & Masters, W.A.: Cost and affordability of healthy diets across and within countries. Background paper for the state of food security and nutrition in the world 2020. FAO Agricultural Development Economics Technical Study No. 9. In. Rome: FAO; 2020. https://www.fao.org/3/cb2431en/cb2431en.pdf Accessed 4 Oct 2021. ​​​Herforth A, Bai, Y., Venkat, A., Mahrt, K., Ebel, A. & Masters, W.A.: Cost and affordability of healthy diets across and within countries. Background paper for the state of food security and nutrition in the world 2020. FAO Agricultural Development Economics Technical Study No. 9. In. Rome: FAO; 2020. https://​www.​fao.​org/​3/​cb2431en/​cb2431en.​pdf Accessed 4 Oct 2021.​
107.
Zurück zum Zitat Liu JL, Han B, Cohen DA. Beyond neighborhood food environments: distance traveled to food establishments in 5 US Cities, 2009–2011. Prev Chronic Dis. 2015;12:E126.PubMedPubMedCentralCrossRef Liu JL, Han B, Cohen DA. Beyond neighborhood food environments: distance traveled to food establishments in 5 US Cities, 2009–2011. Prev Chronic Dis. 2015;12:E126.PubMedPubMedCentralCrossRef
108.
Zurück zum Zitat Gittelsohn J, Trude A, Kim H. Pricing strategies to encourage availability, purchase, and consumption of healthy foods and beverages: a systematic review. Prev Chronic Dis. 2017;14:E107.PubMedPubMedCentralCrossRef Gittelsohn J, Trude A, Kim H. Pricing strategies to encourage availability, purchase, and consumption of healthy foods and beverages: a systematic review. Prev Chronic Dis. 2017;14:E107.PubMedPubMedCentralCrossRef
109.
Zurück zum Zitat Olstad DL, Ancilotto R, Teychenne M, Minaker LM, Taber DR, Raine KD, Nykiforuk CIJ, Ball K. Can targeted policies reduce obesity and improve obesity-related behaviours in socioeconomically disadvantaged populations? A systematic review Obes Rev. 2017;18:791–807.PubMed Olstad DL, Ancilotto R, Teychenne M, Minaker LM, Taber DR, Raine KD, Nykiforuk CIJ, Ball K. Can targeted policies reduce obesity and improve obesity-related behaviours in socioeconomically disadvantaged populations? A systematic review Obes Rev. 2017;18:791–807.PubMed
110.
Zurück zum Zitat Allcott H, Diamond R, Dubé J-P, Handbury J, Rahkovsky I, Schnell M. Food deserts and the causes of nutritional inequality. Q J Econ. 2019;134:1793–844.CrossRef Allcott H, Diamond R, Dubé J-P, Handbury J, Rahkovsky I, Schnell M. Food deserts and the causes of nutritional inequality. Q J Econ. 2019;134:1793–844.CrossRef
112.
Zurück zum Zitat Ferguson M, O’Dea K, Holden S, Miles E, Brimblecombe J. Food and beverage price discounts to improve health in remote Aboriginal communities: Mixed method evaluation of a natural experiment. ANZJPH. 2017;41:32–7. Ferguson M, O’Dea K, Holden S, Miles E, Brimblecombe J. Food and beverage price discounts to improve health in remote Aboriginal communities: Mixed method evaluation of a natural experiment. ANZJPH. 2017;41:32–7.
113.
Zurück zum Zitat Hobin E, Bollinger B, Sacco J, Liebman E, Vanderlee L, Zuo F, Rosella L, L’Abbe M, Manson H, Hammond D. Consumers’ response to an on-shelf nutrition labelling system in supermarkets: evidence to inform policy and practice. Milbank Q. 2017;95:494–534. Hobin E, Bollinger B, Sacco J, Liebman E, Vanderlee L, Zuo F, Rosella L, L’Abbe M, Manson H, Hammond D. Consumers’ response to an on-shelf nutrition labelling system in supermarkets: evidence to inform policy and practice. Milbank Q. 2017;95:494–534.
114.
Zurück zum Zitat Meghan L. Exploring sales data during a healthy corner store intervention in Toronto: The Food Retail Environments Shaping Health (FRESH) project. HPCDP. 2017;37:342. Meghan L. Exploring sales data during a healthy corner store intervention in Toronto: The Food Retail Environments Shaping Health (FRESH) project. HPCDP. 2017;37:342.
115.
Zurück zum Zitat Gittelsohn J, Laska MN, Karpyn A, Klingler K, Ayala GX. Lessons learned from small store programs to increase healthy food access. Am J Health Behav. 2014;38:307–15.PubMedPubMedCentralCrossRef Gittelsohn J, Laska MN, Karpyn A, Klingler K, Ayala GX. Lessons learned from small store programs to increase healthy food access. Am J Health Behav. 2014;38:307–15.PubMedPubMedCentralCrossRef
116.
Zurück zum Zitat Mah CL, Luongo G, Hasdell R, Taylor NGA, Lo BK. A systematic review of the effect of retail food environment interventions on diet and health with a focus on the enabling role of public policies. Curr Nutr Rep. 2019;8:411–28.PubMedPubMedCentralCrossRef Mah CL, Luongo G, Hasdell R, Taylor NGA, Lo BK. A systematic review of the effect of retail food environment interventions on diet and health with a focus on the enabling role of public policies. Curr Nutr Rep. 2019;8:411–28.PubMedPubMedCentralCrossRef
117.
Zurück zum Zitat Luongo G, Skinner K, Phillipps B, Yu Z, Martin D, Mah CL. The retail food environment, store foods, and diet and health among indigenous populations: a scoping review. Curr Obes Rep. 2020;9:288–306.PubMedCrossRef Luongo G, Skinner K, Phillipps B, Yu Z, Martin D, Mah CL. The retail food environment, store foods, and diet and health among indigenous populations: a scoping review. Curr Obes Rep. 2020;9:288–306.PubMedCrossRef
Metadaten
Titel
Adult food choices in association with the local retail food environment and food access in resource-poor communities: a scoping review
verfasst von
Samukelisiwe S. Madlala
Jillian Hill
Ernesta Kunneke
Tatum Lopes
Mieke Faber
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2023
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-023-15996-y

Weitere Artikel der Ausgabe 1/2023

BMC Public Health 1/2023 Zur Ausgabe