Skip to main content
. 2024 Dec 18;24:3445. doi: 10.1186/s12889-024-20976-x

Table 6.

The association between availability and the dietary quality score (DQS) across food outlet types displayed with beta coefficients, 95% CI, p-value and further Akaike Information Criterion (AIC), Akaike weights and Evidence ratio of Akaike weights in model 3. DQS ranges from 0–8 where higher scores represent healthier eating habits. Model 1 include DQS and availability; Model 2 add age, gender, ethnicity, labor market affiliation, income, and educational level; Model 3 is fully adjusted, incorporating Model 2 variables and urbanicity. Parameter estimates in the table are not corrected for multiple comparisons. Data not weighed to account for the difference in non-response. N = 71,851

Availability1 Model 1 Model 2 Model 3
Density2 Estimate (95% CI) [p-value] Estimate (95% CI) [p-value] Estimate (95% CI) [p-value] AIC (Model 3) (Akaike weightsa) [Evidence ratiob,c]
Fast-food
 0–5 -0.010 -0.007 -0.017 259,464
(-0.018;-0.002) (-0.0147;0.0003) (-0.025;-0.009) (0.9817)
[0.0167] [0.0603] [< 0.0001] [2980]
 > 5 0.018 0.014 0.023 [55]c
0.008;0.027 (0.006;0.023) (0.015;0.032)
[0.0003] [0.0014] [< 0.0001]
Convenience
 0–3 -0.022 -0.013 -0.023 259,467
(-0.037;-0.008) (-0.26;0.0003) (-0.042;0.023) (0.9817)
[0.0027] [0.06] [< 0.0001] [55]
 > 3 0.045 0.034 0.045
(0.025;0.064) (0.012:0.051) (0.028;0.063)
[< 0.0001] [0.0002] [< 0.0001]
Supermarkets
 0–3 -0.021 -0.011 -0.022 259,479
(-0.033;-0.008) (-0.023;0.0002) (-0.034;-0.010) (0.1192)
[0.001] [0.056] [0.0002] [0.14]
 > 3 0.037 0.030 0.036
(0.0154;0.060) (0.009;0.050) (0.016;0.056)
[0.0009] [0.0045] [0.0004]
Restaurants
 0–3 -0.022 -0.016 -0.025 259,471
(-0.033;-0.009) (-0.028;-0.005) (-0.036:-0–013) (0.9933)
[0.0005] [0.0041] [< 0.0001] [148]
 > 3–31 0.031 0.024 0.032
(0.017;0.0443) (0.012;0.034) (0.019;0.044)
[< 0.0001] [0.0002] [0.002]
 > 31 -0.007 -0.007 -0.006
(-0.012;-0.003) (-0.011;-0.003) (-0.009;-0.002)
[0.0012] [0.0004] [0.002]
Proportion3,4
 Fast-food3 0.032 0.023 -0.038 259,480
(-0.027;0.0091) (-0.032;0.078) (-0.093;0.018) (0.0003)
[0.29] [0.41] [0.18]
Convenience 259,475
-0.050 -0.038 -0.080 (0.018)
(-0.119;0.018) (-0.103;0.027) (-0.145;-0.015)
[0.15] [0.26] [0.016]
Supermarkets 259,475
-0.076 -0.050 -0.073 (0.881
(-0.135;-0.018) (-0.107;0.004) (-0.128;-0.017)
[0.01] [0.07] [0.01]
Restaurants 259,481
0.034 0.035 0.016 (0.0067)
(-0.020;0.088) (-0.017;0.086) (-0.034;0.067)
[0.22] [0.17] [0.53]
Fast-food4 259,472
-0.014 -0.013 -0.058 (0.018)
(-0.052;0.023) (-0.048;0.022) (-0.093;-0.022)
[0.46] [0.47] [0.0017]

1 Within a residential 800m network buffer

2 Count per km2

3 Proportion out of all food outlets (fast-food, convenience stores supermarkets, restaurants, and specialized food outlets)

4 Proportion of all “eating out” opportunities (fast-food and restaurants)

aAkaike weights determined for models with availability measures (density vs. proportion) within each outlet type

b Akaike weights from model with food outlet density divided by Akaike weights from model with food outlet proportions for each outlet type

c Akaike weights from model with fast-food density /fast-food proportion of all “eating out” opportunities