Association between toothache in the last 4 weeks and socioeconomic characteristics using logistic regression model (n=2,377)_
| Variables | Toothache | Logistic Significance | ||
|---|---|---|---|---|
| Yes | No | OR | Significance | |
| Sex | ||||
| Male | 176(14.3%) | 1,055 (85.7%) | 0.931 | 0.548 |
| Female | 155(13.5%) | 991 (86.5%) | ||
| Mother's highest education | ||||
| ≤Primary education (Ref) | 156(15.0%) | 887 (85.0%) | 0.905 | 0.567 |
| High schools | 152(13.5%) | 977 (86.5%) | 0.739 | 0.490 |
| University | 23(11.2%) | 182(88.8%) | 0.305 | |
| Father's highest education | ||||
| ≤Primary education (Ref) | 135(14.4%) | 800 (85.6%) | 1.055 | 0.814 |
| High school | 160(13.7%) | 1,009 (86.3%) | 1.175 | 0.712 |
| University | 36(13.2%) | 237 (86.8%) | 0.525 | |
| Household income | ||||
| ≤Rp. 36.5 million/year (Ref) | 270(14.3%) | 1,619(85.7%) | 0.892 | 0.491 |
| >Rp. 36.5 million/year | 61 (12.5%) | 427 (87.5%) | ||
| Number of children in the family | ||||
| 2 children (Ref) | 117(12.3%) | 835 (87.7%) | 1.156 | 0.043 |
| 3–4 children | 146(13.9%) | 902(86.1%) | 1.531 | 0.278 |
| ≥5 children | 68(18.0%) | 309 (82.0%) | 0.012 | |
| Total | 331 (13.9%) | 2,046(86.1%) | ||
Characteristics of the respondents (n=2,377)_
| Variable | N (%) |
| Sex | |
| Male | 1,231 (51.8) |
| Female | 1,146 (48.2) |
| Age | |
| 12years | 783 (33.0) |
| 13years | 771 (32.4) |
| 14years | 823 (34.6) |
| Mother's highest education | |
| ≤Primary education | 1,043 (43.9) |
| High schools | 1,129 (47.5) |
| University | 205 (8.6) |
| Father's highest aducarion | |
| ≤Primary education | 935 (39.3) |
| High school | 1,169 (49.2) |
| University | 237 (11.5) |
| Household income | |
| ≤Rp. 36.5 million/year | 1,889 (79.5) |
| >Rp. 36.5 million/year | 488 (20.5) |
| Nvmber of children in the famio/ | |
| ≤2 children | 952 (40.0) |
| 3-4 children | 1,048 (44.1) |
| ≥children | 377 (15.9) |
| Total | 2,377 (100) |