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Table 1 Characteristics of included articles

From: Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? A systematic review

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

  1. 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