Figure 1.
Flow chart describing selection of study participants for the analyses.
Table 1.
Descriptive data of the study participants and neighbourhood characteristics by quintiles of neighbourhood disadvantage.
Figure 2.
Co-occurrence of risk factors by quintiles of neighbourhood disadvantage and by individual socioeconomic status.
Cumulative Odds Ratios (COR, i.e. the average of three specific logistic comparisons: ≥1 vs. <1 risk, ≥2 vs. <2 risks and 3 vs. <3 risks) and 95% Confidence Intervals (CI) from models where the lowest quintile of disadvantage in the high socioeconomic status group is the reference for all groups.
Figure 3.
Co-occurrence of risk factors by quintiles of neighbourhood disadvantage and by individual socioeconomic status.
Cumulative Odds Ratios (COR, i.e. the average of three specific logistic comparisons: ≥1 vs. <1 risk, ≥2 vs. <2 risks and 3 vs. <3 risks) and 95% Confidence Intervals (CI) from models where the lowest quintile of disadvantage in the high socioeconomic status group is the reference for all groups.
Figure 4.
Co-occurrence of risk factors by quintiles of neighbourhood disadvantage and by individual socioeconomic status.
Cumulative Odds Ratios (COR, i.e. the average of three specific logistic comparisons: ≥1 vs. <1 risk, ≥2 vs. <2 risks and 3 vs. <3 risks) and 95% Confidence Intervals (CI) from models where the lowest quintile of disadvantage in the high socioeconomic status group is the reference for all groups.
Table 2.
Fixed effects of the covariates and random effects of neighbourhood from the two-level cumulative regression analyses.