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Table 2 Weighted estimates from regression (zero-inflated Poisson, logistic) to assess associations between dental insurance (no vs. yes) and dental caries indices, Grade 2 students in Calgary, 2009–10 and 2013/14

From: Equity in children’s dental caries before and after cessation of community water fluoridation: differential impact by dental insurance status and geographic material deprivation

Outcome variable Rate ratio (RR) or odds ratio (OR) for effect of absence (vs presence) of dental insurance on dental caries outcomes (reference = 1.0)
2009/10 2013/14 Interaction term (Year X No dental insurance): RR or OR (95 % CI), p-value, (n)
RR or OR (95 % CI), p-value, (n) RR or OR (95 % CI), p-value, (n)
defta RR = 1.05 (0.94 to 1.17), p = 0.40 (n = 528) RR = 0.94 (0.86 to 1.03), p = 0.18 (n = 3164) RR = 0.90 (0.78 to 1.04), p = .14 (n = 3692)
DMFTa RR = 0.87 (0.65 to 1.16), p = 0.33 (n = 522) RR = 1.56 (1.05 to 2.33), p = 0.03* (n = 3120) RR = 1.80 (1.10 to 2.93), p = .02* (n = 3642)
2 or more teeth (primary or permanent) with untreated decayb OR = 1.76 (1.34 to 2.32), p < .001* (n = 522) OR = 2.0 (1.57 to 2.53), p < .001* (n = 3120) OR = 1.13 (0.81 to 1.58), p = .46 (n = 3642)
  1. deft number of decayed, missing, and filled primary teeth, DMFT number of decayed, missing, and filled permanent teeth, X multiplied by
  2. *Statistically significant effect of no dental insurance (vs. dental insurance) on dental caries outcome
  3. aZero-inflated Poisson regression
  4. bLogistic regression (yes vs. no)