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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: J Rural Health. 2020 Jul 22;37(3):655–666. doi: 10.1111/jrh.12500

Table 2.

Logistic regression model results: The 2016 MEPS (n=8199)

Variables Model I
DV=Dental visits
Model II
DV=Preventive procedure
Model III
DV=Treatment procedure
AOR 95% CI P AOR 95% CI P AOR 95% CI P
Age (vs. 18-44) <.001 0.396 0.003
 45-64 0.75 0.66 0.85 <.001 0.99 0.84 1.15 0.847 1.19 1.03 1.37 0.017
 65+ 0.54 0.46 0.63 <.001 1.16 0.90 1.48 0.248 1.32 1.11 1.57 0.002
Male 1.12 1.03 1.22 0.009 0.84 0.73 0.97 0.015 1.05 0.95 1.16 0.355
Married 1.04 0.92 1.17 0.500 1.13 0.96 1.31 0.136 0.98 0.87 1.12 0.801
Race/ethnicity (vs. Non-Hispanic white) 0.034 <.001 0.061
 Non Hispanic black 1.20 1.03 1.39 0.018 0.61 0.50 0.75 <.0001 1.10 0.93 1.29 0.254
 Hispanic 1.23 1.06 1.42 0.006 1.00 0.80 1.24 0.988 1.22 1.02 1.46 0.030
 Other 1.17 1.00 1.36 0.055 0.89 0.71 1.13 0.349 0.92 0.77 1.10 0.364
Family income (vs. Low income) 0.061 <.001 0.032
 Mid income 0.95 0.82 1.11 0.547 1.65 1.36 2.01 <.001 0.83 0.70 0.99 0.036
 High income 0.84 0.71 1.00 0.048 1.92 1.56 2.36 <.001 0.80 0.67 0.95 0.010
Education(vs. <high school) 0.008 <.001 0.020
 High school 1.00 0.79 1.26 0.988 1.49 1.13 1.96 0.005 0.84 0.67 1.06 0.139
 Some college or above 0.83 0.67 1.03 0.098 2.02 1.52 2.68 <.001 0.74 0.59 0.92 0.008
Dental insurance 0.93 0.83 1.05 0.226 1.26 1.07 1.50 0.008 0.85 0.74 0.97 0.015
Employed 1.27 1.10 1.48 0.002 0.96 0.79 1.15 0.624 0.93 0.80 1.07 0.292
Health status (vs excellent/very good) 0.088 <.001 <.001
 Fair/poor 0.89 0.76 1.05 0.180 0.48 0.39 0.60 <.001 1.40 1.19 1.64 <.001
 Good 0.88 0.78 0.99 0.034 0.74 0.64 0.87 <.001 1.33 1.18 1.50 <.001
Region (vs. Northeast) 0.119 0.082 0.407
 Midwest 0.91 0.76 1.09 0.297 0.90 0.70 1.15 0.389 1.14 0.94 1.39 0.173
 South 1.11 0.92 1.33 0.276 0.76 0.60 0.97 0.024 1.01 0.82 1.23 0.952
 West 0.91 0.74 1.12 0.378 1.02 0.82 1.25 0.881 1.03 0.83 1.27 0.812
Rurality (vs Urban) 0.468 0.032 0.513
 Rural, adjacent 0.88 0.67 1.16 0.354 0.91 0.69 1.19 0.489 1.12 0.90 1.41 0.300
 Rural, not adjacent 1.18 0.82 1.69 0.365 0.55 0.35 0.87 0.011 1.21 0.80 1.82 0.370
County level variables
 Unemployment rate 1.00 0.94 1.06 0.934 0.96 0.88 1.04 0.320 1.05 0.98 1.12 0.178
 Median household income 0.97 0.93 1.01 0.126 0.97 0.92 1.03 0.388 1.03 0.98 1.08 0.222
 Percentage without high school education 2.33 0.59 9.16 0.223 0.16 0.03 0.91 0.039 1.38 0.33 5.77 0.658
 Black population rate 1.15 0.59 2.21 0.681 1.40 0.66 2.96 0.380 0.72 0.38 1.38 0.323
 Presence of an FQHC 1.03 0.83 1.29 0.779 1.02 0.71 1.46 0.917 0.94 0.75 1.18 0.584
 DHPSA (vs. Not DHPSA) 0.036 0.654 0.210
  Whole county 1.36 0.89 2.10 0.158 1.29 0.75 2.22 0.356 0.73 0.42 1.26 0.258
  Part county 0.86 0.70 1.04 0.122 1.03 0.78 1.36 0.834 1.11 0.92 1.34 0.276
Residence by race/ethnicity 0.030 ns ns
 Rural, adjacent*Black 0.88 0.38 2.06 0.766
 Rural, not adjacent*Black 4.79 1.39 16.56 0.014
 Rural, adjacent*Hispanic 0.62 0.32 1.20 0.154
 Rural, not adjacent*Hispanic 0.77 0.30 1.97 0.580
 Rural, adjacent*Other 2.57 0.97 6.83 0.058
 Rural, not adjacent*Other 0.78 0.11 5.73 0.805

Model 1 is an ordinal logistic regression. Model II and III are binary logistic regression. DV=Dependent variable. ns: Not significant. FQHC: Federally qualified health center. DHPSA: Dental health professional shortage area