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. 2015 Jun 9;19(6):1093–1102. doi: 10.1017/S1368980015001524

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Fig. 1 — Predicted values of fruit and vegetable (FV) consumption per individual-level income (●, >5MW; , ≤5 MW) as the density of supermarkets and fresh produce markets increased in the neighbourhood, São Paulo, Brazil, 2011. Values were predicted using Poisson GEE models with robust variance. FV consumption was modelled as a function of supermarket and fresh produce market density (log-transformed counts per 10 000 population), adjusting for sex, age and education. Income-specific estimates were statistically significant (P-interaction <0·05) and obtained from models containing individual-level income interactions with retail food store and market density within each neighbourhood. Error bars represent 95 % confidence intervals (MW, Brazilian monthly minimum wage; GEE, generalized estimating equations)

Inline graphic — Predicted values of fruit and vegetable (FV) consumption per individual-level income (●, >5MW; , ≤5 MW) as the density of supermarkets and fresh produce markets increased in the neighbourhood, São Paulo, Brazil, 2011. Values were predicted using Poisson GEE models with robust variance. FV consumption was modelled as a function of supermarket and fresh produce market density (log-transformed counts per 10 000 population), adjusting for sex, age and education. Income-specific estimates were statistically significant (P-interaction <0·05) and obtained from models containing individual-level income interactions with retail food store and market density within each neighbourhood. Error bars represent 95 % confidence intervals (MW, Brazilian monthly minimum wage; GEE, generalized estimating equations)