The purpose of this study was to evaluate the association between oral health problems and oral health-related quality of life (OHRQoL) of preschool children according to both self-reports and the reports of parents/caregivers. A school-based, cross-sectional study was conducted with 769 preschool children and their parents/caregivers. The OHRQoL was evaluated using the Scale of Oral Health Outcomes for Five-Year-Old Children (SOHO-5). Based on logistic regression for complex samples, the following variables were found to be associated with poorer OHRQoL in the parent/caregiver version: toothache (OR = 6.77; 95% CI: 3.95-11.59); consequences of untreated dental caries (OR = 2.69; 95% CI: 1.27-5.70); and anterior open bite (OR = 2.01; 95% CI: 1.13-3.56). The following variables were associated with poorer OHRQoL in the child self-report version: toothache (OR = 3.34; 95% CI: 2.11-5.29); cavitated lesions (anterior teeth) (OR = 2.20; 95% CI: 1.26-3.84); occurrence of traumatic dental injury (OR = 1.77; 95% CI: 1.19-2.61); and anterior open bite (OR = 1.95; 95% CI: 1.16-3.29). We conclude that children with dental caries (or its sequelae) had poorer OHRQoL. Having experienced a traumatic dental injury and having a malocclusion were also associated with a poorer OHRQoL.

OBJECTIVE: To evaluate the psychometric properties of the Brazilian Portuguese version of the Rapid Estimate of Adult Literacy in Dentistry (BREALD-30) administered to adolescents. METHODS: The study included 750 adolescents: 375 aged 12 years and 375 aged 15–19 years, attending public and private schools in Campina Grande, state of Paraíba, Brazil, in 2017. Reliability was measured based on internal consistency and test-retest reliability. Convergent validity was measured based on correlations between BREALD-30 and Functional Literacy Indicator scores. Divergent validity was measured by comparing BREALD-30 scores with sociodemographic variables. For predictive validity, the association between BREALD-30 scores and the presence of cavitated carious lesions was tested using a multiple logistic regression model. All statistical tests were performed with a significance level of 5%. RESULTS: BREALD-30 showed good internal consistency for the 12 year olds and 15 to19 year olds (Cronbach’s alpha = 0.871 and 0.834, respectively) and good test-retest reliability [intraclass correlation coefficient (ICC) = 0.898 and 0.974; kappa = 0.804 and 0.808, respectively]. Moreover, item-total correlation was satisfactory for all items. BREALD-30 had convergent validity with the Functional Literacy Indicator for 12 year olds (rs = 0.558, p < 0.001) and for 15 to 19 year olds (rs = 0.652, p < 0.001). Participants with higher oral health literacy levels who attended private schools (p < 0.001), belonged to economic classes A and B2 (p < 0.001), and who had parents with higher education levels (p < 0.001) were included, indicating the divergent validity of the BREALD-30. Participants with lower BREALD-30 scores were more likely to have cavitated carious lesions [12 year olds: odds ratio (OR) = 2.37; 95% confidence interval (95%CI): 1.48–3.80; 15 to 19 year olds: OR = 1.96; 95%CI 1.24–3.11]. CONCLUSIONS: BREALD-30 shows satisfactory psychometric properties for use on Brazilian adolescents and can be applied as a fast, simple, and reliable measure of oral health literacy.

A higher monthly household income, history of toothache, the absence of TDI, and strong SOC of the parents/caretakers influence the use of dental services by preschoolers.

Objectives The aim of this study was to evaluate the association between the prevalence of cavitated dental caries and oral health literacy (OHL), family characteristics and sociodemographic factors in early adolescence. Methods A cross‐sectional study was conducted with 740 twelve‐year‐old students. The students' guardians provided information on sociodemographic data, and the students provided information on family characteristics and OHL. Two trained dentists examined the participants for dental caries and administered the Brazilian version of the Rapid Estimate of Oral Health Literacy in Dentistry (BREALD‐30). Control variables were selected using a directed acyclic graph. Descriptive analysis was performed; this was followed by robust Poisson regression analysis for complex samples to evaluate the association between dental caries and socioeconomic and family predictors (α = 5%). Results The following variables were associated with a greater number of cavitated caries lesions: low level of education completed by the mother (RR = 1.58; 95% CI: 1.12‐2.24), less privileged social class (RR = 1.89; 95% CI: 1.28‐2.80), non‐White ethnicity (RR = 1.64; 95% CI: 1.0‐2.48), larger number of residents in the home (RR = 1.87; 95% CI: 1.25‐2.81), low level of OHL (RR = 2.02; 95% CI: 1.28‐3.18), and the ‘connected’ (RR = 4.72; 95% CI: 1.17‐18.90), ‘separated’ (RR = 4.09; 95% CI: 1.05‐15.86) and ‘disengaged’ (RR = 4.20; 95% CI: 1.09‐16.18) types of family cohesion. Conclusions A low level of oral health literacy, sociodemographic factors, and a low level of family cohesion are predictors of cavitated caries lesions in early adolescence.

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.

OBJECTIVE: Evaluate socio-demographic, family and behavioral factors associated with oral health literacy (OHL) in adolescents. METHODS: Cross-sectional study conducted with adolescents aged 15 to 19 years in Campina Grande, Brazil. Parents/guardians answered a questionnaire addressing socio-demographic data. The adolescents answered validated instruments on family cohesion and adaptability (family adaptability and cohesion evaluation scale), drug use (alcohol, smoking and substance involvement screening test), type of dental service used for last appointment and OHL (Brazilian version of the Rapid Estimate of Oral Health Literacy in Dentistry). Two dentists were trained to evaluate OHL (K = 0.87–0.88). Descriptive analysis was performed, followed by Poisson regression analysis (α = 5%). A directed acyclic graph was used to select independent variables in the study. RESULTS: The following variables remained associated with better OHL: high mother’s schooling level (RR = 1.07; 95%CI: 1.03–1.12), high income (RR = 1.04; 95%CI: 1.01–1.09), white ethnicity/skin color (RR = 1.05; 95%CI: 1.01–1.10), married parents (RR = 1.04; 95%CI: 1.01–1.09), “enmeshed” family cohesion (RR = 1.21; 95%CI: 1.12–1.30), “structured” (RR = 1.06; 95%CI: 1.01–1.12) or “rigid” (RR = 1.11; 95%CI: 1.04–1.19) family adaptability, having more than five residents in the home (RR = 1.07; 95%CI: 1.01–1.14) and having used a private dental service during the last appointment (RR = 1.08; 95%CI: 1.03–1.13). CONCLUSION: Family functioning and socio-demographic factors influence the level of oral health literacy among adolescents.

The impact of oral problems on the OHRQoL of the preschool children was high. A greater number of injured teeth, the presence of toothache, and socioeconomic factors were associated with poorer OHRQoL, based on the reports of both the parents/caregivers and the children. The occurrence of non-complicated TDI was a protective factor for OHRQoL.

The aim of the present study was to evaluate the impact of clinical oral factors, socioeconomic factors and parental sense of coherence on affected self-confidence in preschool children due to oral problems. A cross-sectional study with probabilistic sampling was conducted at public and private preschools with 769 five-year-old children and their parents/caretakers. A questionnaire addressing socio-demographic characteristics as well as the Scale of Oral Health Outcomes for Five-Year-Old Children (SOHO-5) and the Sense of Coherence Scale (SOC-13) were administered. The dependent variable was self-confidence and was determined using the SOHO-5 tool. Dental caries (ICDAS II), malocclusion and traumatic dental injury (TDI) were recorded during the clinical exam. Clinical examinations were performed by examiners who had undergone training and calibration exercises (intraexaminer agreement: 0.82-1.00 and inter-examiner agreement: 0.80-1.00). Descriptive statistics and Poisson regression analysis were performed (α=5%). Among the children, 91.3% had dental caries, 57.7% had malocclusion, 52.8% had signs of traumatic dental injury and 26.9% had bruxism. The following variables exerted a greater negative impact on the self-confidence of the preschool children due to oral problems: attending public school (PR=2.26; 95% CI: 1.09-4.68), a history of toothache (PR=4.45; 95% CI: 2.00-9.91) and weak parental sense of coherence (PR=2.27; 95% CI: 1.03-5.01). Based on the present findings, clinical variables (dental pain), socio-demographic characteristics and parental sense of coherence can exert a negative impact on self-confidence in preschool children due to oral problems.O r a l P r o b l e m s a n d S e l fConfidence in Preschool Children