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Table 2 Supermarket availability and BMI, by capital city: linear regression coefficients and 95% confidence intervals

From: Associations between supermarket availability and body size in Australia: a cross-sectional observational study comparing state and territory capital cities

City

Buffer

Model 1

Model 2

Model 3

Model 4

Model 5

β

95%CI

β

95%CI

β

95%CI

β

95%CI

β

95%CI

All cities

1000 m

−0.276

− 0.37, − 0.17***

−0.293

− 0.39, − 0.18***

−0.249

− 0.35, − 0.14***

−0.167

− 0.29, − 0.03*

−0.148

− 0.27, − 0.01*

AIC

1000 m

61,051.9

60,880.1

60,810.9

60,810.4

60,804.3

1500 m

−0.162

−0.22, − 0.10***

−0.173

− 0.23, − 0.11***

−0.147

− 0.20, − 0.08***

−0.089

− 0.17, − 0.00*

−0.076

− 0.16, 0.10

AIC

1500 m

61,052.1

60,880.1

60,811.8

60,811.8

60,806.0

Sydney

1000 m

−0.266

− 0.46, − 0.06**

−0.287

− 0.49, − 0.08**

−0.266

− 0.47, − 0.06*

− 0.077

− 0.36, 0.20

− 0.026

− 0.31, 0.25

1500 m

−0.208

− 0.34, − 0.07**

−0.220

− 0.36, − 0.08**

− 0.207

− 0.34, − 0.06**

−0.127

− 0.34, 0.08

− 0.079

− 0.28, 0.13

Melbourne

1000 m

− 0.290

− 0.49, − 0.08**

−0.311

− 0.51, − 0.10**

−0.250

− 0.45, − 0.05*

−0.346

− 0.60, − 0.08**

−0.337

− 0.59, − 0.07*

1500 m

− 0.151

− 0.26, − 0.04**

−0.159

− 0.26, − 0.05**

−0.128

− 0.23, − 0.02*

−0.223

− 0.39, − 0.05*

−0.220

− 0.39, − 0.04*

Brisbane

1000 m

− 0.585

−0.90, − 0.26***

−0.591

− 0.91, − 0.26***

−0.573

− 0.89, − 0.25***

−0.502

− 0.91, − 0.08*

−0.503

− 0.91, − 0.08*

1500 m

−0.310

− 0.47, − 0.14***

− 0.325

− 0.48, − 0.16***

− 0.314

− 0.47, − 0.15***

−0.337

− 0.59, − 0.08**

−0.337

− 0.59, − 0.08**

Adelaide

1000 m

− 0.173

− 0.43, 0.09

− 0.163

− 0.42, 0.09

− 0.065

− 0.32, 0.19

− 0.011

− 0.31, 0.28

0.007

−0.29, 0.30

1500 m

−0.228

−0.39, − 0.06**

− 0.231

− 0.39, − 0.07*

− 0.186

− 0.34, − 0.02*

−0.174

− 0.36, 0.01

−0.162

− 0.34, 0.02

Perth

1000 m

0.173

− 0.20, 0.55

0.019

−0.36, 0.40

0.068

− 0.31, 0.45

0.236

− 0.20, 0.67

0.275

− 0.16, 0.71

1500 m

0.106

− 0.16, 0.37

− 0.023

− 0.29, 0.24

0.014

− 0.26, 0.29

0.206

− 0.11, 0.52

0.257

− 0.07, 0.58

Hobart

1000 m

− 1.08

− 1.73, − 0.44**

− 1.04

− 1.65, − 0.42**

− 0.918

− 1.56, − 0.26**

−1.00

− 1.80, − 0.20*

−0.923

−1.73, − 0.11*

1500 m

− 0.163

− 0.64, 0.32

− 0.089

−0.54, 0.36

0.036

− 0.41, 0.48

0.034

−0.59, 0.66

0.174

− 0.44, 0.79

Darwin

1000 m

0.004

−0.42, 0.43

0.110

−0.32, 0.54

0.153

−0.26, 0.57

− 0.491

− 1.24, 0.26

− 0.499

− 1.26, 0.26

1500 m

0.104

−0.21, 0.42

0.160

−0.16, 0.48

0.182

−0.11, 0.48

0.270

− 0.53, 1.07

0.271

−0.53, 1.07

Canberra

1000 m

−0.281

−0.81, 0.25

− 0.329

− 0.85, 0.19

− 0.342

− 0.87, 0.18

− 0.188

− 0.87, 0.50

− 0.190

− 0.88, 0.50

1500 m

−0.023

− 0.31, 0.26

− 0.044

−0.33, 0.24

− 0.035

− 0.31, 0.24

0.151

− 0.20, 0.51

0.150

− 0.20, 0.50

  1. Model 1: Supermarket availability and BMI adjusted for age and sex; Model 2: Model 1 plus adjustment for country of birth and neighbourhood disadvantage; Model 3: Model 2 plus adjustment for individual-level socioeconomic position (education, occupation, and household income); Model 4: Model 3 plus adjustment for physical activity environment (walkable amenities, public open space); Model 5: Model 4 plus adjustment for population density
  2. *p < 0.05; **p < 0.01; ***p < 0.001