Table 2.
The associations between unhealthy and healthy food accessibility and obesity prevalence at the ecological level among study participants ages 19 and older in the Netherlands in 2016: results from Spatial Lag of X models.
| Variable | Netherlands |
Urban |
Suburban |
Rural |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DEb | IEc | TEd | DEb | IEc | TEd | DEb | IEc | TEd | DEb | IEc | TEd | |
| Food environment | ||||||||||||
| Average distance to next fast food store, km | −0.02 | −0.13* | −0.15* | −0.98** | −1.94** | −2.94** | −0.09 | −0.56* | −0.65* | −0.04 | −0.08 | −0.12* |
| Average distance to next fresh food store, km | −0.07 | 0.10 | 0.03 | 1.17** | 2.54** | 3.71** | −0.36 | 0.23 | −0.13 | −0.08 | 0.07 | −0.01 |
| Average distance to next supermarket, km |
−0.02 |
0.13 |
0.11 |
−0.21 |
0.17 |
−0.05 |
−0.27 |
0.36 |
0.09 |
0.02 |
0.03 |
0.04 |
| Confounders | ||||||||||||
| Males, % |
−0.10** |
−0.04 |
−0.14** |
−0.08** |
<0.01 |
−0.08* |
−0.05 |
−0.04 |
−0.09* |
−0.03 |
−0.08** |
−0.12** |
| People ages 19 to 44, % (ref.) | – | – | – | – | – | – | – | – | – | – | – | – |
| People ages 45 to 64, % | 0.12** | 0.14** | 0.26** | 0.15** | 0.07** | 0.22** | 0.12** | 0.05* | 0.16** | 0.07** | 0.13** | 0.21** |
| People ages 65 and older, % | 0.06** | 0.02 | 0.07** | 0.05** | 0.04* | 0.09** | 0.03** | 0.01 | 0.04** | 0.08** | 0.01 | 0.09** |
| Population densitya, no. of inhabitants/km2 | – | – | – | −1.14 | −4.82 | −5.97** | 4.04 | −1.08 | 2.97 | 43.81** | −27.65 | 16.17 |
| Non-western immigrants, % | <0.01 | −0.03* | −0.03** | −0.02 | 0.02 | <0.01 | 0.01 | −0.03 | −0.02 | −0.04 | −0.09 | −0.12** |
| Social welfare recipients, % | 0.22** | 0.10* | 0.32** | 0.43** | 0.30** | 0.73** | 0.24** | −0.08 | 0.17* | 0.14** | 0.13* | 0.26** |
| Yearly net income [*1000 Euros] | −0.10** | −0.11** | −0.21** | −0.10** | −0.05** | −0.15** | −0.19** | −0.06** | −0.25** | −0.09** | −0.06* | −0.15** |
| Low alcohol consumption, % | 0.18** | 0.02 | 0.20** | 0.24** | −0.05** | 0.19** | 0.14** | 0.02 | 0.16** | 0.12** | 0.06** | 0.18** |
| Smokers, % | 0.28** | −0.02 | 0.26** | 0.20** | −0.02 | 0.18** | 0.22** | 0.09** | 0.31** | 0.45** | −0.06 | 0.39** |
| Regional subtype, ref. Urban | ||||||||||||
| Suburban | 0.26* | 0.77** | 1.03** | |||||||||
| Rural |
0.36* |
−0.10 |
0.25 |
|||||||||
| R2 | 0.6796 | 0.8182 | 0.6964 | 0.5983 | ||||||||
Abbreviations: No, number; sd, standard deviation; km, kilometre(s).
Footnote: Significant results are denoted with *p < 0.05, **p < 0.01. The models were controlled for sex, age, population density or regional subtype, migration status, unemployment, income, alcohol consumption, and smoking.
Point estimators × 10–5.
DE = direct effect, which is the contribution of the local food environment on the local obesity prevalence (immediate food surrounding).
IE = indirect effect, which is the contribution of the food environment in bordering locations on the local obesity prevalence (wider food surrounding).
TE = total effect, which is the sum of the direct and indirect effect and the total contribution of the food environment.