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. Author manuscript; available in PMC: 2014 May 30.
Published in final edited form as: Colomb Med (Cali). 2013 Sep 30;44(3):139–145.

Table 4.

Multivariate analyses (Mixed models) of scores for total MMSE (score 0-30) as a function of number of teeth and other variables from Wave 1 through Wave 3

Model 1 Model 2 Model 3 Model 4

Predictor variable Estimate ± SE Estimate ± SE Estimate ± SE Estimate ± SE
Intercept 35.82 ± 0.91 a 31.68 ± 0.82 a 35.90 ± 0.91 a 31.77 ± 0.82 a
Time (years) −0.48 ± 0.02 a −0.41 ± 0.02 a −0.56 ± 0.04 a −0.48 ± 0.04 a
Number of teeth
 0-12 −0.56 ± 0.16 b −0.36 ± 0.13 c −0.40 ± 0.16 d −0.21 ± 0.14
 13-32 0,00 0,00 0,00 0,00
Number of teeth/time interaction
 0-12 teeth/time - - −0.13 ± 0.05 c −0.12 ± 0.05 c
 13-32 teeth/time - - 0,00 0,00
a

p <0.0001,

b

p <0.001,

c

p <0.01, and

d

p <0.05

MMSE=Mini-Mental State Examination. Estimate= estimated change in mean total MMSE scores (a negative sign indicates a decrease); SE=standard error. Variable time tests the slope of decline on the total MMSE scores over time. The term for the in - teraction between number of teeth and time represents the longitudinal effect of the baseline measure of number of teeth on the annual rate of change in performance of total MMSE scores. Models 1 and 3 adjust for socio-demographics; Models 2 and 4 has additional adjustments for medical conditions.