Table 3.
Demographic factors related to proper access and utilization of dental services using binary logistic regression analysis
Variables | B | SE | Wald | P value | Exp(B) | 95% CI for Exp(B) | |
---|---|---|---|---|---|---|---|
Lower | Upper | ||||||
Age: 65–75 vs. above 75 years | 0.277 | 0.297 | 0.871 | 0.351 | 1.320 | 0.737 | 2.363 |
Residence: community vs. institutionalized | 1.641 | 0.364 | 20.285 | 0.000 | 5.15 | 2.525 | 10.526 |
Education: high school vs. lower than high school | 0.342 | 0.268 | 1.630 | 0.202 | 1.408 | 0.833 | 2.379 |
Income: >SR12,000 vs. ≤SR12,000 | 0.804 | 0.260 | 9.542 | 0.002 | 2.23 | 1.340 | 3.717 |
Married vs. unmarried | 1.179 | 0.317 | 13.832 | 0.000 | 3.251 | 1.747 | 6.051 |
Constant | 1.186 | 0.874 | 1.843 | 0.175 | 3.274 |
B = regression coefficient, SE = standard error, Exp(B) = odds ratio, CI = confidence interval