Table 5.
Variables | Contents | Model 1 | Model 2 | Model 3 |
---|---|---|---|---|
Crude OR (95% CI †) | AOR * (95% CI †) | AOR * (95% CI †) | ||
Sex (ref. = Female) | Male | 0.83 (0.71–0.97) | 0.74 (0.62–0.87) | 1.10 (0.84–1.43) |
Household income (ref. = High) |
Low | 0.59 (0.47–0.75) | 0.77 (0.60–0.99) | 0.79 (0.62–1.01) |
Middle-low | 0.73 (0.59–0.92) | 0.87 (0.69–1.10) | 0.90 (0.71–1.13) | |
Middle-high | 0.85 (0.66–1.08) | 0.95 (0.74–1.21) | 0.97 (0.76–1.23) | |
Education level (ref. =≥ College) |
≤Primary | 0.51 (0.40–0.65) | 0.53 (0.40–0.71) | 0.56 (0.41–0.75) |
Middle | 0.60 (0.46–0.78) | 0.61 (0.45–0.82) | 0.63 (0.47–0.85) | |
High | 0.69 (0.54–0.89) | 0.69 (0.53–0.89) | 0.71 (0.55–0.92) | |
Education level of father (ref.=≥ High) |
Uneducated | 0.67 (0.52–0.88) | 0.94 (0.65–1.36) | 0.89 (0.62–1.29) |
Primary | 0.80 (0.63–1.02) | 1.08 (0.80–1.46) | 1.03 (0.76–1.38) | |
Middle | 1.06 (0.77–1.46) | 1.27 (0.91–1.77) | 1.25 (0.90–1.74) | |
Education level of mother (ref.=≥ High) |
Uneducated | 0.73 (0.49–1.08) | 1.09 (0.69–1.74) | 1.07 (0.67–1.73) |
Primary | 0.77 (0.53–1.12) | 0.91 (0.60–1.38) | 0.88 (0.57–1.37) | |
Middle | 1.05 (0.64–1.75) | 1.10 (0.66–1.85) | 1.04 (0.62–1.75) | |
Region of residence (ref. = Urban) | Rural | 0.68 (0.56–0.82) | 0.78 (0.65–0.94) | 0.77 (0.63–0.93) |
National health insurance (ref. = Workplace) |
Medicaid | 0.58 (0.32–1.04) | 0.70 (0.39–1.26) | 0.78 (0.43–1.43) |
Regional | 0.95 (0.81–1.12) | 0.98 (0.83–1.16) | 1.01 (0.85–1.19) | |
Toothbrushing frequency (ref. ≥ 2/day) |
<2/day | 0.62 (0.49–0.78) | 0.75 (0.59–0.95) | |
Recent dental visit (ref. = No) | Yes | 0.90 (0.76–1.06) | 0.81 (0.68–0.95) | |
Smoking status (ref. = non-smoker) |
Smoker | 0.50 (0.39–0.64) | 0.47 (0.34–0.65) | |
Past | 0.86 (0.71–1.04) | 0.78 (0.59–1.03) | ||
Metabolic syndrome (ref. = No) |
Yes | 0.75 (0.63–0.89) | 0.81 (0.68–0.96) |
Dependent variable: median category based on the number of existing teeth. * Adjusted Odds ratio; † 95% confidence interval. Odds ratios and 95% confidence intervals were estimated by complex samples multivariable logistic regression analysis. Model 2 was adjusted for sex, household income, education level, education level of father, education level of mother, region of residence, and national health insurance. Model 3 was adjusted for sex, household income, education level, education level of father, education level of mother, region of residence, national health insurance, toothbrushing frequency, recent dental visit, smoking status, and metabolic syndrome.