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. Author manuscript; available in PMC: 2017 Sep 1.
Published in final edited form as: J Public Health Dent. 2016 Apr 7;76(4):287–294. doi: 10.1111/jphd.12153

Table 2.

Demographic and socioeconomic variables predicting the number of decayed teeth among adults age 50 years and older 1988–2004 using negative binomial regression models (n=9113)

Model 1 Model 2 Model 3 Model 4

Variable IRR p-value IRR p-value IRR p-value IRR p-value
Intercept 0.64 (0.53, 0.76) <0.001 0.66 (0.51, 0.85) <0.001 1.53 (1.04, 2.25) 0.005 2.85 (1.82, 4.46) <0.001
Time 0.98 (0.96, 1.00) 0.011 0.98 (0.95, 1.00) 0.019 1.00 (0.97, 1.02) 0.623 0.99 (0.97, 1.01) 0.114
Age 65+ 0.88 (0.70, 1.11) 0.139 0.77 (0.61, 0.96) 0.002 0.68 (0.52, 0.87) <0.001
Female 0.68 (0.57, 0.82) <0.001 0.65 (0.54, 0.78) <0.001 0.62 (0.51, 0.75) <0.001
Race/Ethnicity Black 2.55 (1.95, 3.33) <0.001 2.03 (1.56, 2.64) <0.001 1.81 (1.36, 2.41) <0.001
Mexican-American 2.45 (1.63, 3.69) <0.001 1.45 (0.98, 2.14) 0.014 1.27 (0.82, 1.95) 0.150
Other Race 1.67 (1.02, 2.72) 0.007 1.56 (0.92, 2.64) 0.028 1.32 (0.77, 2.26) 0.184
Years of Education 0.67 (0.60, 0.75) <0.001 0.77 (0.69, 0.86) <0.001
Poverty Quartile 0.65 (0.57, 0.74) <0.001

IRR=Incidence rate ratio

Confidence limits based on 99% confidence intervals