| Literature DB >> 19243630 |
Mirian Kuhnen1, Marco A Peres, Anelise V Masiero, Karen G Peres.
Abstract
BACKGROUND: Toothache is a dental public health problem and one of the predictors of dental attendance and it is strongly associated with the life quality of individuals. In spite of this, there are few population-based epidemiological studies on this theme.Entities:
Year: 2009 PMID: 19243630 PMCID: PMC2653019 DOI: 10.1186/1472-6831-9-7
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Figure 1Hierarchical model to toothache determination.
Sample distribution and toothache prevalence according the independent variables (confidence intervals – 95% CI).
| Male | 728 | 40.4 | 13.0 | (10.5;15.6) |
| Female | 1,077 | 59.6 | 21.4 | (18.9;24.0) |
| 20 – 29 | 611 | 34.0 | 22.1 | (18.0;26.2) |
| 30 – 39 | 433 | 24.0 | 19.9 | (16.4;23.3) |
| 40 – 49 | 458 | 25.4 | 13.5 | (10.2;16.9) |
| 50 – 59 | 300 | 16.6 | 14.3 | (9.3;19.3) |
| White | 1,117 | 62.0 | 15.9 | (13.1;18.7) |
| Lighter-skinned blacks | 515 | 28.6 | 20.4 | (16.2;24.6) |
| Dark skinned blacks | 112 | 6.2 | 25.0 | (19.4;30.6) |
| Yellow | 34 | 2.0 | 23.5 | (9.2;37.8) |
| Amerindian | 22 | 1.2 | 27.3 | (6.9;47.6) |
| 1.59 – 19.74 | 440 | 24.8 | 11.1 | (7.7;14.6) |
| 0.89 – 1.58 | 468 | 26.4 | 16.7 | (12.3;21.0) |
| 0.60 – 0.88 | 439 | 24.8 | 17.8 | (14.4;21.1) |
| 0.02 – 0.50 | 423 | 24.0 | 27.4 | (24.0;30.8) |
| ≥ 12 | 445 | 24.8 | 12.8 | (8.9;16.7) |
| 9 – 11 | 587 | 32.9 | 17.7 | (14.3;21.1) |
| 5 – 8 | 501 | 28.1 | 20.1 | (16.3;24.0) |
| ≤ 4 | 253 | 14.2 | 22.9 | (16.2;29.6) |
| 0 | 1,582 | 87.6 | 17.6 | (15.6;19.6) |
| ≥ 1 | 223 | 12.4 | 21.1 | (15.2;26.9) |
| Never smoked | 1,018 | 56.5 | 14.5 | (12.4;16.6) |
| Ex-smoked | 281 | 15.5 | 18.5 | (14.2;22.8) |
| Current smoker | 503 | 28.0 | 24.8 | (20.9;28.8) |
| Never smoked | 1,305 | 72.3 | 15.4 | (13.3;17.5) |
| <10 | 100 | 5.5 | 30.0 | (20.0;40.0) |
| ≥ 10 | 400 | 22.2 | 23.7 | (19.4;28.1) |
| ≥ 20 | 1,243 | 70.4 | 18.4 | (15.9;21.0) |
| 10–19 | 354 | 19.9 | 16.4 | (12.8;20.0) |
| <10 | 165 | 9.7 | 20.3 | (14.0;26.0) |
| Private | 1,085 | 61.0 | 14.9 | (12.4;17.5) |
| SUS – public | 453 | 27.0 | 28.7 | (24.0;33.4) |
| Others | 221 | 12.0 | 12.7 | (7.7;17.6) |
| Yes | 697 | 39.0 | 12.3 | (10.3;14.4) |
| No | 1089 | 60.1 | 21.9 | (18.9;25.0) |
| 1,805 | 100.0 | 18.0 | (16.0;20.1) | |
Lages-SC, Brazil, 2007.
* Brazilian Minimum Wage (worth of US$ 200,00).
**confidence interval adjusted for the clustered sampling design.
Toothache and independent variables.
| p < 0.001 | p < 0.001 | ||||
| Male | 1.0 | 1.0 | |||
| Female | 1.6 (1.3;2.0) | 1.6 (1.3;2.0) | |||
| p = 0.004 | p = 0.001 | ||||
| 20 – 29 | 1.0 | 1.0 | |||
| 30 – 39 | 0.9 (0.7;1.1) | 0.9 (0.7;1.1) | |||
| 40 – 49 | 0.6 (0.4;0.8) | 0.5 (0.4;0.7) | |||
| 50 – 59 | 0.6 (0.4;0.9) | 0.5 (0.3;0.8) | |||
| p = 0.001 | p = 0.003 | ||||
| White | 1.0 | 1.0 | |||
| Lighter-skinned blacks | 1.3 (0.9;1.7) | 1.2 (0.9;1.6) | |||
| Dark skinned blacks | 1.5 (1.2;2.0) | 1.5 (1.1;1.9) | |||
| Yellow | 1.5 (0.9;2.6) | 1.4 (0.7;2.6) | |||
| Amerindian | 1.4 (0.7;3.1) | 1.6 (0.7;3.4) | |||
| p < 0.001 | p = 0.002 | ||||
| 1,59 – 19,74 | 1.0 | 1.0 | |||
| 0,89 – 1,58 | 1.5 (1.0;2.2) | 1.3 (0.9;1.9) | |||
| 0,60 – 0,88 | 1.6 (1.0;2.2) | 1.2 (0.9;1.7) | |||
| 0,02 – 0,50 | 2.4 (1.7;3.4) | 1.7 (1.2;2.3) | |||
| p < 0.001 | p = 0.083 | ||||
| ≥ 12 | 1.0 | 1.0 | |||
| 9 – 11 | 1.4 (1.1;2.0) | 1.2 (0.9;1.7) | |||
| 5 – 8 | 1.5 (1.7;2.0) | 1.4 (0.9;2.0) | |||
| ≤ 4 | 1.8 (1.2;2.7) | 1.6 (0.9;2.7) | |||
| p = 0.156 | p = 0.004 | ||||
| 0 | 1.0 | 1.0 | |||
| ≥ 1 | 1.0 (0.9;1.1) | 1.4 (1.1;1.9) | |||
| p < 0.001 | p < 0.001 | ||||
| Never smoked | 1.0 | 1.0 | |||
| Ex-smoked | 1.2 (1.0;1.6) | 1.3 (1.0;1.6) | |||
| Current smoker | 1.7 (1.4;2.1) | 1.5 (1.2;1.9) | |||
| p < 0.001 | |||||
| Never smoker | 1.0 | ** | |||
| < 10 | 1.9 (1.4;2.6) | ||||
| ≥ 10 | 1.6 (1.3;2.0) | ||||
| p = 0.049 | |||||
| Private | 1.0 | ** | |||
| SUS – public | 1.9 (1.5;2.4) | ||||
| Others | 0.9 (0.6;1.3) | ||||
| p < 0.001 | p < 0.001 | ||||
| Yes | 1.0 | 1.0 | |||
| No | 0.5 (0.4;0.7) | 0.5 (0.4;0.6) | |||
a Brazilian Minimum Wage (worth of US$ 200,00).
*Model 1 – crude unadjusted analysis.
*Model 2 – variables in the block 1 adjusted for variables in the same level.
*Model 3 – variables in the block 2 adjusted for variables in the same level and the levels above.
*Model 4 – variables in the block 3 adjusted for variables in the same level and the levels above.
**excluded due lost the statistical significance.
All analysis were adjusted for the clustered sampling design and by the number of teeth.
p value = Wald test.
Poisson regression analysis (Prevalence ratio – PR and confidence intervals- 95% CI). Lages-SC, Brazil, 2007.