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Recent evidence has emerged to suggest that crossing guards may be associated with more PMVCs in area level analyses [ 22, 23], however it was unclear if the presence of crossing guards were markers for particularly dangerous locations, or if cross-sectional data masked the effect of the guards.
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We used a random-intercept logistic model with individuals (level 1) nested in areas (level 2).
There were minimal differences in area-level variances between the PQL2 and MCMC methods (Table 4).
Keating et al conducted a retrospective study to evaluate variation in area-level Medicare spending for cancer care.
The percentage reduction in variance reflects the change in area-level variance relative to the null model.
The presence of school crossing guards has been associated with more walking and more pedestrian-motor vehicle collisions (PMVCs) in area-level cross-sectional analyses.
Registered households differed from those who did not register in most household-level predisposing, enabling and need characteristics, but not in area-level income (see Table 1).
Therefore, the individuals with missing data in area-level variables were excluded in the analysis of Model 2 and Model 3.
Mortality rate ratios (MRRs) per 1 percentage point increase in area-level stress were estimated with adjustment for compositional individual factors.
To account for differences in area-level deprivation, we linked individuals' postcodes to super output areas (SOAs), geographic boundaries comprising ≈1,000 residents for which aggregated census data are available.
Specifically, a one standard deviation increase in area-level median household weekly income corresponded to a 31% higher risk of developing MetS (Model 1: RR = 1.31; 95%CI = 1.07-1.62) in this group.
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