Skip to main content
. 2018 Mar 6;18:30. doi: 10.1186/s12903-018-0493-7

Table 2.

Frequency, percentage and results of multivariate logistic regression for untreated caries among children in the U.S., 2011–2014

Characteristic With Untreated caries n (weighted percent) Without untreated caries n (weighted percent) p-valuea Odds Ratiob (95% CI) for untreated caries
Age
 0 to 5 years 239 (9.14) 1991 (90.86) < 0.001 0.38 (0.29–0.51)**
 6 to 11 years 518 (18.61) 2005 (81.39) 1.16 (0.92–1.47)
 12 to 18 years 436 (18.28) 1819 (81.72) 1 (ref)
Race/Ethnicity
 Mexican American 294 (21.30) 1159 (78.70) < 0.001 1.18 (0.90–1.54)
 Other Hispanic 128 (15.73) 651 (84.27) 0.89 (0.62–1.27)
 Non-Hispanic White 238 (13.81) 1441 (86.19) 1 (ref)
 Non-Hispanic Black 376 (20.13) 1545 (79.87) 1.21 (0.97–1.51)
 Other race, including multi-racial 157 (12.35) 1019 (87.65) 0.81 (0.59–1.11)
Gender
 Male 629 (16.68) 2960 (83.32) 0.19
 Female 564 (15.08) 2855 (84.92)
Family income categories based on FPLc
 Less than 100% FPL 506 (21.73) 1871 (78.27) < 0.001 2.68 (2.03–3.55)**
 100–199% FPL 316 (18.77) 1388 (81.23) 2.25 (1.59–3.19)**
 200–399% FPL 187 (12.96) 1189 (87.04) 1.49 (1.04–2.12)*
 400% FPL and above 83 (8.03) 956 (91.97) 1 (ref)
Recent dental visitc
 Less than one year 794 (13.58) 4369 (86.42) < 0.001 0.44 (0.35–0.56)**
 More than one year 393 (23.26) 1431 (76.74) 1 (ref)
Financial barriers
 Yes 99 (38.98) 155 (61.02) < 0.001 2.06 (1.42–2.99)**
 No 1094 (15.11) 5660 (84.89) 1 (ref)
Non-financial barriers
 Yes 49 (47.80) 42 (52.20) < 0.001 2.86 (1.24–6.58)*
 No 1144 (15.55) 5773 (84.45) 1 (ref)

The sample size was N = 7008; CI = Confidence interval

** p-value < 0.001; * p-value < 0.05

ap-value from Pearson chi-square statistics comparing the percentage of children with untreated caries and without untreated caries

bOdds ratios were determined by multivariate logistic regression model. The F-adjusted mean residual test for goodness of fit suggests no evidence of lack of fit (p-value = 0.099). Gender was not included in the multivariate logistic regression model because the p-value of gender for Pearson chi-square test was not significant

cFamily income categories based on FPL had 512 missing observations and recent dental visit had 21 missing observations