Table 1 Descriptive statistics of socio-demographic and health-behavioural factors influencing 6-monthly dental visit in Lithgow school children
Factors influencing dental visits. | N | Has the child visited the dentist in the last 6 months? | Chi-squared p-value | |
|---|---|---|---|---|
Yes n =353 | No n = 312 | |||
Age of the child (In years - MAD) | 665 | 353 (9.0) | 312 (8.0) | 0.278 |
Gender of the child | 665 | 0.921 | ||
Male | 179 (50.7%) | 157 (49.3%) | ||
Female | 174 (50.3%) | 155 (49.7%) | ||
Frequency of tooth brushing | 663 | 0.001* | ||
Once or less | 110 (31.3%) | 135 (43.4%) | ||
Twice or more | 242 (68.8%) | 176 (56.6%) | ||
Decayed, missing and filled teeth status | 665 | 0.025* | ||
No dmft/DMFT | 156 (44.2%) | 165 (52.9%) | ||
One or more dmft/DMFT | 197 (55.8%) | 147 (47.1%) | ||
Has the child always lived in Lithgow? | 665 | 0.009* | ||
Yes | 233 (66.0%) | 120 (34.0%) | ||
No | 175 (56.1%) | 137 (43.9%) | ||
Number of Serves of sugar sweetened beverages consumed per day (MAD) | 654 | 346 (2.0) | 307 (3.0) | 0.131 |
Number of serves of chocolate per day (MAD) | 638 | 337 (1.0) | 301 (1.0) | 0.091 |
Child in single parent household? | 665 | 0.277 | ||
Yes | 65 (18.4%) | 68 (21.8%) | ||
No | 288 (81.6%) | 244 (78.2%) | ||
Age of the Mother (In years – MAD) | 659 | 348 (37.0) | 311 (36.0) | 0.040* |
Age of the Fathera (In years – MAD) | 527 | 283 (39.0) | 244 (38.0) | 0.003* |
Mother’s country of birth | 653 | 0.949 | ||
Overseas | 29 (8.4%) | 26 (8.5%) | ||
Australia | 318 (91.6%) | 280 (91.5%) | ||
Father’s country of birtha | 529 | 0.754 | ||
Overseas | 20 (7.0%) | 19 (7.8%) | ||
Australia | 264 (93%) | 226 (92.2%) | ||
Mother’s Indigenous status | 652 | 0.028* | ||
Indigenous | 5 (1.4%) | 13 (4.3%) | ||
Non-Indigenous | 342 (98.6%) | 292 (95.7%) | ||
Father’s Indigenous statusa | 535 | 0.415 | ||
Indigenous | 5 (1.8%) | 7 (2.8%) | ||
Non- Indigenous | 280 (98.2%) | 243 (97.2%) | ||
Education level of the Mother | 651 | 0.297 | ||
University or College | 91 (26.2%) | 69 (22.7%) | ||
High school or vocational training | 256 (73.8%) | 235 (77.3%) | ||
Education level of the Fathera | 530 | 0.360 | ||
University or College | 46 (16.3%) | 48 (19.4%) | ||
High school or vocational training | 236 (83.7%) | 200 (80.6%) | ||
Mother’s employment | 654 | 0.006* | ||
Managers and professionals | 75 (21.5%) | 63 (20.7%) | ||
Skilled workers | 173 (49.6%) | 119 (39%) | ||
Pensioners and unemployed | 101 (28.9%) | 123 (40.3%) | ||
Father’s employmenta | 526 | 0.490 | ||
Managers and professionals | 88 (31%) | 74 (30.6%) | ||
Skilled workers | 179 (63%) | 147 (60.7%) | ||
Pensioners and unemployed | 17 (6%) | 21 (8.7%) | ||
Number of tooth extractions in Mother (MAD) | 665 | 353 (0.0) | 312 (1.0) | 0.139 |
Number of tooth extractions in Fathera (MAD) | 536 | 286 (0.0) | 250 (2.0) | 0.051 |
Private health insurance coverage | 628 | <0.001* | ||
Yes | 161 (48.3%) | 81 (28.7%) | ||
No | 172 (51.7%) | 214 (72.5%) | ||
Annual household income | 497 | <0.001* | ||
High (over 100,000) | 42 (16.8%) | 28 (11.3%) | ||
Medium (40,000-100,000) | 133 (53.2%) | 101 (4.9%) | ||
Low (up to 40,000) | 75 (30.0%) | 118 (47.8%) | ||