| Literature DB >> 31774850 |
Laio da Costa Dutra1, Larissa Chaves Morais de Lima1, Érick Tássio Barbosa Neves1, Monalisa Cesarino Gomes1, Luíza Jordânia Serafim de Araújo1, Franklin Delano Soares Forte2, Saul Martins Paiva3, Fernanda Morais Ferreira3, Ana Flávia Granville-Garcia1.
Abstract
The aim of the present study was to investigate whether the ability to recognize and read oral health terms is associated with the number of teeth with cavitated carious lesions in adolescents. A population-based cross-sectional study was conducted involving a sample of 746 adolescents representative of students aged 15 to 19 years at the public and private school systems in a city in northeast Brazil. Two examiners who had undergone a training and calibration exercise (inter-examiner and intra-examiner Kappa coefficient: 0.87 to 0.93) performed the diagnosis of caries using the Nyvad Index and evaluated the level of OHL (BREALD-30) of the adolescents. The participants answered questions regarding their history of visits to the dentist and the parents/caregivers answered a questionnaire addressing socioeconomic characteristics. A directed acyclic graph was created to direct the selection of covariables for adjustments in the Poisson multiple regression analysis to test the association between dental caries and OHL (α = 5%). Cavitated carious lesions (codes 3 to 6 on the Nyvad index) were found in 41.6% of the adolescents. Only 29.4% had a high level of OHL (BREALD-30 scores between 23 and 30); 42.3% of the families belonged to the A-B social class and 93% of the adolescents had been to the dentist at least once in their lifetimes. In the multivariate analysis, adolescents with inadequate (PR: 1.69; 95% CI: 1.18-2.41; p = 0.004) and marginal (PR; 1.42; 95% CI: 1.01-1.99; p = 0.042) OHL and those in the lower social classes (C-D-E) (PR: 1.85; 95% CI: 1.39-2.47; p<0.001) had more teeth with cavitated carious lesions. In conclusion, adolescents aged 15 to 19 years with poorer levels of OHL had a larger number of teeth with cavitated carious lesions, independently of their socioeconomic status and history of visiting a dentist.Entities:
Mesh:
Year: 2019 PMID: 31774850 PMCID: PMC6880994 DOI: 10.1371/journal.pone.0225176
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Adopted causal structure of secondary data analysis of dental caries.
Characterization of sample.
| Variable | n | % |
|---|---|---|
| Female | 444 | 59.5 |
| Male | 302 | 40.5 |
| White | 211 | 28.3 |
| Non-white | 535 | 71.7 |
| Youngest child | 248 | 33.2 |
| Middle child | 184 | 24.7 |
| Oldest child | 314 | 42.1 |
| Yes | 694 | 93.0 |
| No | 46 | 6.2 |
| < 8 years of study | 299 | 40.1 |
| ≥ 8 years of study | 443 | 59.4 |
| Lower | 428 | 56.9 |
| Higher | 318 | 42.3 |
| ≤ 42 years | 384 | 51.5 |
| > 42 years | 360 | 48.3 |
| 1 to 5 | 619 | 83.0 |
| 6 or more | 125 | 16.8 |
| Yes | 692 | 92.8 |
| No | 54 | 7.2 |
| Yes | 310 | 41.6 |
| No | 436 | 58.4 |
| Inadequate | 247 | 33.1 |
| Marginal | 280 | 37.5 |
| Adequate | 219 | 29.4 |
Poisson regression analyses of variables associated with the number of teeth with cavitated carious lesions in adolescents.
| Variable | Number of teeth with cavited carious lesions | Bivariate | Multivariate | |||
|---|---|---|---|---|---|---|
| Mean | Std. Deviation | p-value | Unadjusted PR | p-value | Adjusted PR | |
| Female | 0.88 | 1.35 | 0.814 | 1.03 (0.80–1.32) | - | - |
| Male | 0.85 | 1.57 | 1.00 | - | - | |
| Lower | 1.13 | 1.62 | <0.001 | 2.14 (1.64–2.79) | <0.001 | 1.85 (1.39–2.47) |
| Higher | 0.53 | 1.09 | 1.00 | - | 1.00 | |
| < 8 years of study | 1.07 | 1.67 | 0.002 | 1.46 (1.15–1.85) | - | - |
| ≥ 8 years of study | 0.73 | 1.26 | 1.00 | - | - | |
| ≤ 42 years | 0.86 | 1.44 | 1.00 | - | - | |
| > 42 years | 0.88 | 1.46 | 0.841 | 1.02 (0.80–1.30) | - | - |
| White | 0.74 | 1.44 | 1.00 | - | - | |
| Non-white | 0.92 | 1.45 | 0.143 | 1.24 (0.92–1.67) | - | - |
| 1 to 5 | 0.80 | 1.39 | 1.00 | - | - | |
| ≥ 6 | 1.16 | 1.67 | 0.012 | 1.44 (1.08–1.92) | - | - |
| Youngest child | 0.82 | 1.44 | 0.728 | 1.05 (0.78–1.41) | - | - |
| Middle child | 1.10 | 1.57 | 0.017 | 1.41 (1.06–1.87) | - | - |
| Oldest child | 0.78 | 1.36 | 1.00 | - | - | |
| Inadequate | 1.15 | 1.71 | <0.001 | 2.07 (1.47–2.90) | 0.004 | 1.69 (1.18–2.41) |
| Marginal | 0.86 | 1.32 | 0.010 | 1.55 (1.11–2.16) | 0.041 | 1.42 (1.01–1.99) |
| Adequate | 0.56 | 1.19 | 1.00 | - | 1.00 | |
| No | 1.00 | 1.85 | 0.599 | 1.15 (0.67–1.99) | - | - |
| Yes | 0.86 | 1.42 | 1.00 | - | - | |
*Poisson regression analysis unadjusted for independent variables and number of teeth with cavitated carious lesions
**Poisson regression analysis adjusted for independent variables and number of teeth with cavitated carious lesions
Variables with p < 0.20 in bivariate analysis incorporated into multivariate model: social class, mother's schooling, number of residents in home, birth order, race and oral health literacy. Controlled for confounding effects according to DAG: social class, mother's schooling and race.