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. 2012 Dec 31;10(1):178–191. doi: 10.3390/ijerph10010178

Table 5.

Decomposition of the significant contributors to the White/non-White gap in PDVs.

Observed characteristics Size of indirect effect relative to total effect (95% CI) Predicted PDV among non-Whites * (compared to actual of 3.2%)
Health insurance 40.3% (31.2–49.3) 8.5%
Educational attainment 27.8% (20.9–34.8) 6.5%
Material wealth 27.6% (21.3–33.9) 6.2%
Nutritional status 10.3% (6.9–13.6) 4.2%
Location 7.4% (3.1–11.6) 3.9%
Domains combined 55.9% (44.9–67.8) 12.8%

* Displays predicted proportion of non-Whites that might make preventive dental visits (PDV) if they had the same distribution of observed characteristics as the Whites (the higher the figure, the smaller the White/non-White gap becomes).