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Table 1 Descriptive statistics of socio-demographic and health-behavioural factors influencing 6-monthly dental visit in Lithgow school children

From: Predictors of dental visits among primary school children in the rural Australian community of Lithgow

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%)
  1. aLower number of observations noticed in relation to father’s characteristics such as age, country of birth, Indigenous status, education, employment and extraction correspond to the children residing in a single parent household with mothers, where fathers’ details are not applicable
  2. MAD - Only median values were calculated for all continuous covariates because Shapiro-Wilk tests showed that they significantly deviated from following the Normal distribution
  3. *Variables found to be statistically significant (p < 0.05) using Pearson’s chi-squared test