Table 1.
First author (date) | Location | Study design (year of data collection) | Sample size (RF %) | Dietary outcome | Dietary assessment method | Food outlet | Food outlet classification | Food outlet data source | Geographic unit | Spatial exposure measure | Statistical analyses (adjustment variables) | Number of relationships | Number of associations | Study quality (%) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Athens (2016) [38] |
Philadelphia and Baltimore, US | Cross-sectional, random digit dial (2009–2010) | 1598 (11) | FF m/w | FFQ | FF S |
Standard Industrial Classification codes, annual gross sales | Info USA 2011 | Nearest intersection to participant’s home address | Count Presence Proximity |
Negative binomial regression (time period, sex, race, age, education, census tract poverty level and population density) | 2 | 14 | 65 |
Bodor (2008) [42] |
New Orleans, US | Cross-sectional, Random digit dial (2001) |
102 (50) | F s/d V s/d |
24-h recall | S SS |
Louisiana Office of Public Health annual gross sales codes | Louisiana Office of Public Health 2001, ground-truth validation 2001 | Participant’s home address | Presence Proximity |
Multivariable linear regression (sex, ethnicity, age, income, food assistance participation, car ownership) | 4 | 8 | 75 |
Dunn (2012) [43] |
Texas, US | Cross-sectional, Random digit dial, Brazos Valley Health Community Assessment, BVHA, rural, < 75 years (2006) |
1064 (73.8) | FF m/w | FFQ | FF | Own criteria based on service style | Brazos Valley Food Environment Project (BVFEP) comprehensive ground-truth survey 2006 | Participant’s home address | Count Proximity |
Ordered logistic regression (census tract fixed effects (not stated), instrumental variable (IV) of shortest distance to major roadway) | 1 | 3 | 94 |
Layte (2011) [44] |
Ireland | Cross-sectional, Irish Survey of Lifestyle Attitudes and Nutrition, SLAN (2007) | 7501 (72) | DASH score | Validated Willett FFQ | S CS |
NR | NR | Participant’s home address | Count Proximity (Euclidean and network distance) |
Fixed effects, ordinary least squares regression of participants with outlet within 2 km of home (sex, age, marital status, education, household income, population density, car ownership) | 2 | 9 | 50 |
Minaker (2013) [45] |
Ontario, Canada | Cross-sectional, neighbourhood environments in Waterloo Region Patterns of Transportation and Health, NEWPATH, women only (2009–2010) | 1170 (64) | HEI-C | 2-d food diary | R FS CS + S |
Own criteria, NR | Local Public Health Inspection Database 2010, ground-truth survey 2010 | Participant’s home address | Count Proximity Diversity RFEI |
Multilevel linear regression (age, education, household income, car ownership, perceptions of food access and affordability) | 3 | 6 | 81 |
Sharkey (2011) [46] |
Texas, US | Cross-sectional, random digit dial Brazos Valley Health Community Assessment, BVHA, rural (2006) | 1409 (73.8) | FF m/w | FFQ | TFF NFF TFF + NFF |
Own criteria based on service style and place of consumption | Brazos Valley Food Environment Project (BVFEP) comprehensive ground-truth survey 2006 | Participant’s home address | Count Proximity |
Multivariable linear regression (sex, age, household income, race, BMI, household size, employment status) | 3 | 12 | 94 |
Thornton (2012) [23] |
Glasgow, UK | Cross-sectional, health and wellbeing survey, HWB (2002) | 1041 (67) | FV s/d F s/d V s/d |
FFQ | S | Six chain supermarket: Asda, the Co-op, Morrisons, Sainsbury’s, Somerfield, Tesco | Online yellow pages and company websites 2010, validated via street view and local knowledge | Participants’ post code | Count (Euclidean and network buffer) Presence (Euclidean and network buffer) Proximity Euclidean kernel density estimation |
Multilevel linear regression (sex, age, education) | 3 | 69 | 54 |
Thornton (2009) [47] |
Melbourne, Australia | Cross-sectional, Victorian Lifestyle and Neighbourhood Environment Study, VicLANES (2003) | 2547 (64) | FF purchase m/m Weekly Monthly |
FFQ | FF | Five FF chains: Red Rooster, McDonalds, Kentucky Fried Chicken, Hungry Jacks, Pizza Hut |
White pages phone directory 2003–2004 | Participant’s home address | Count Proximity Variety |
Multilevel multinomial regression (age, country of birth, household composition, education, occupation, income, attitudes and perceptions relating to food access; preference: taste and health, area-level disadvantage) | 2 | 6 | 69 |
Turrell (2008) [48] |
Brisbane, Australia | Cross-sectional, Brisbane Food Study (2000) | 1001 (66.4) | TA purchase m/m | FFQ | FFF ITA ATA OTA C HTA STA |
Own criteria based on preparation, service/sale method and main type of food sold | Brisbane City Council maps 2000, ground-truth survey 2000 | Census Collection Districts | Proximity Average proximity Density |
Ordered multinomial regression (sex, age, family size, country of birth) | 7 | 21 | 69 |
Williams (2010) [49] |
Melbourne, Australia | Cross-sectional, socioeconomic status and activity in women, SESAW (2004) | 351 (58) | F s/d V s/d |
FFQ | S FVS |
Own criteria NR, supermarkets included major and minor chains, independent and small grocers | Local government and company websites, databases and online phone directories | Participant’s home address | Count Proximity |
Logistic regression bivariate associations | 4 | 8 | 48 |
Zenk (2009) [50] | Detroit, US | Cross-sectional, ≥ 25 years (2002–2003) |
919 (55) | FV mean s/d | Semi-quantitative FFQ | S + GS | Own criteria NR, full-service chain grocery stores or super centres | Michigan Department of Agriculture 2001, paper/online telephone directories, company websites 2001–2002, ground-truth survey 2002 | Census blocks | Presence Proximity |
Two level hierarchical linear regression (sex, age, household size, years in neighbourhood, marital status, race, education, income, employment, car ownership) | 1 | 2 | 67 |
LeDoux (2014) [41] |
Detroit, US | Cross-sectional, low income African American neighbourhood, (NR) | 258 (10.3) | FV s/m Soda and juice s/m Sweet and salty snacks s/m |
FFQ | S CS FF |
Own criteria clearly reported | Michigan Department of Agriculture, Detroit Economic Group, phone and internet directories, date NR | Participant’s home address | Count Proximity |
Negative binomial regression (sex, age, education, household income, exercise) | 9 | 27 | 44 |
Bernsdorf (2017) [39] |
Copenhagen, Denmark | Cross-sectional, Danish Capital Regional Health Survey (2010) | 48,305 (52.3) | FF ≥ once/w | FFQ | FF | Danish industrial classification system DB03, Own criteria clearly reported | Ministry of Environment and Food Register, ground-truth survey 2010 | Participant’s home address | Count Proximity |
Multilevel logistic regression (sex, age ethnicity, education, urbanicity, area SES) | 1 | 8 | 77 |
Duran (2016) [40] | Sao Paulo, Brazil | Cross-sectional, (2011) | 1842 (NR) | FV ≥ 5 d/w SSD ≥ 5 d/w |
FFQ, validated | S + GS + FVS | Own criteria clearly reported | Ground-truth survey 2010–2011 | Participant’s home address | Count Proximity |
Poisson generalised estimating equations (sex, age, education, income) | 2 | 12 | 75 |
RF response fraction (%), NR not reported, F fruit, FF fast-food, V vegetables, FV fruit and vegetables, SSD sugar sweetened drinks, DASH dietary approaches to stop hypertension, HEI-C healthy eating index adapted from Canada guidelines, m/w meals per week, s/d serves per day, s/m serves/month, d/w days per week, m/m meals per month, FFQ food frequency questionnaire, S supermarket, GS grocery store, SS small food store, TA takeaway, CS convenience store, FFF major chain fast food franchise, ITA general independent takeaway store, ATA Asian takeaway restaurant, OTA other ethnic takeaway restaurant, C café/coffee shop, HTA healthier takeaway store, STA sweet food takeaway, FVS fruit and vegetable store, FS food store, R restaurant, TFF traditional fast food, NFF non-traditional fast food, BMI body mass index (kg/m2), SES socioeconomic status